{"id":5,"date":"2025-03-18T12:33:48","date_gmt":"2025-03-18T19:33:48","guid":{"rendered":"https:\/\/faculty.engineering.asu.edu\/huanliu\/?page_id=5"},"modified":"2026-03-16T09:46:03","modified_gmt":"2026-03-16T16:46:03","slug":"publications","status":"publish","type":"page","link":"https:\/\/faculty.engineering.asu.edu\/huanliu\/publications\/","title":{"rendered":"Publications"},"content":{"rendered":"\n<div class=\"wp-block-columns is-layout-flex wp-container-core-columns-is-layout-28f84493 wp-block-columns-is-layout-flex\">\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\" style=\"flex-basis:75%\">\n<h2 class=\"wp-block-heading\"><a>International Conference<\/a><\/h2>\n\n\n\n<p>Recent Publications at <a href=\"https:\/\/scholar.google.com\/citations?hl=en&amp;user=Dzf46C8AAAAJ&amp;view_op=list_works&amp;sortby=pubdate\">https:\/\/scholar.google.com\/citations?hl=en&amp;user=Dzf46C8AAAAJ&amp;view_op=list_works&amp;sortby=pubdate<\/a><\/p>\n\n\n\n<p><strong>2026<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><a href=\"https:\/\/pingchuanma.com\/\">Pingchuan Ma<\/a>, Chengshuai Zhao, Bohan Jiang, Saketh Vishnubhatla, Ujun Jeong, Alimohammad Beigi, Adrienne Raglin, and Huan Liu. &#8220;CAMO: Causality-Guided Adversarial Multimodal Domain Generalization for Crisis Classification\u201d, The 30th Pacific-Asia Conference on Knowledge Discovery and Data Mining (<a href=\"https:\/\/www.pakdd2026.org\/\">PAKDD 2026<\/a>), 9-12 June, 2026, Hong Kong, China<\/li>\n\n\n\n<li><a href=\"https:\/\/jiangbohan.github.io\/\">Bohan Jiang<\/a>, Dawei Li, Zhen Tan, Xinyi Zhou, Ashwin Rao, Kristina Lerman, H. Russell Bernard, and Huan Liu. &#8220;Can Large Language Models Assess the Social Impact of Conspiracy Theories?\u201d, International AAAI Conference on Web and Social Media (<a href=\"https:\/\/www.icwsm.org\/2026\/index.html\">ICWSM 2026<\/a>), Los Angeles, California. <\/li>\n\n\n\n<li><a href=\"https:\/\/scholar.google.com\/citations?hl=en&amp;user=JaX6HGAAAAAJ\">Dawei Li<\/a>, Renliang Sun, Yue Huang, Ming Zhong, Bohan Jiang, Jiawei Han, Xiangliang Zhang, Wei Wang, and Huan Liu. &#8220;Preference leakage: A contamination problem in llm-as-a-judge\u201d, The Fourteenth International Conference on Learning Representations (<a href=\"https:\/\/iclr.cc\/Conferences\/2026\">ICLR 2026<\/a>), Rio de Janeiro, Apr 23-27, 2026.<\/li>\n\n\n\n<li><a href=\"https:\/\/scholar.google.com\/citations?hl=en&amp;user=yMV7JtIAAAAJ\">Zhen Tan<\/a>, Chengshuai Zhao, Song Wang, Jundong Li, Tianlong Chen, Huan Liu. &#8220;Probing to Refine: Reinforcement Distillation of LLM Reasoners via Explanatory Inversion\u201d, The Fourteenth International Conference on Learning Representations (<a href=\"https:\/\/iclr.cc\/Conferences\/2026\">ICLR 2026<\/a>), Rio de Janeiro, Apr 23-27, 2026.<\/li>\n\n\n\n<li><a href=\"https:\/\/scholar.google.com\/citations?view_op=list_works&amp;hl=en&amp;hl=en&amp;user=U5QZhDAAAAAJ&amp;sortby=pubdate\">Yancheng Wang<\/a>, <a href=\"https:\/\/chengshuaizhao0.github.io\/\">Chengshuai Zhao<\/a>, Dongfang Sun, Huan Liu, Yingzhen Yang. &#8220;Low-Rank Few-Shot Node Classification by Node-Level Graph Diffusion&#8221;, The Fourteenth International Conference on Learning Representations (<a href=\"https:\/\/iclr.cc\/Conferences\/2026\">ICLR 2026<\/a>), Rio de Janeiro, Apr 23-27, 2026.<\/li>\n\n\n\n<li><a href=\"https:\/\/chengshuaizhao0.github.io\/\">Chengshuai Zhao<\/a>, Shu Wan, Paras Sheth, Karan Patwa, K. Sel\u00e7uk Candan, and Huan Liu. 2026. Causality Guided Representation Learning for Cross-Style Hate Speech Detection. In Proceedings of the ACM Web Conference 2026 (<a href=\"https:\/\/www2026.thewebconf.org\/\">WWW \u201926<\/a>), April 13\u201317, 2026, Dubai, United Arab Emirates. ACM, New York, NY, USA. <a href=\"https:\/\/doi.org\/10.1145\/3774904.3792669\">https:\/\/doi.org\/10.1145\/3774904.3792669<\/a><\/li>\n\n\n\n<li><a href=\"https:\/\/scholar.google.com\/citations?user=QNxfe2MAAAAJ&amp;hl=en\">Saketh Vishnubhatla<\/a>, Shu Wan, Andre Harrison, Adrienne Raglin, and Huan Liu. &#8220;Proxy-Guided Measurement Calibration&#8221;, the 5th Conference on Causal Learning and Reasoning (<a href=\"https:\/\/www.cclear.cc\/2026\">CLeaR<\/a>) 2026, April 6-8. Cambridge, MA.<\/li>\n\n\n\n<li><a href=\"https:\/\/jiangbohan.github.io\/\">Bohan Jiang<\/a>, Pingchuan Ma, Zhuoyu Shi, Fred Morstatter, Adrienne Raglin, and Huan Liu. &#8220;On Causal and Anticausal LLM-Based Data Synthesis\u201d, The 19th International Conference on Web Search and Data Mining (<a href=\"https:\/\/wsdm-conference.org\/2026\/\">WSDM 2026<\/a>), (short paper track) Feb 22-26, 2026, Boise, Idaho.<\/li>\n<\/ul>\n\n\n\n<p><strong>2025<\/strong><\/p>\n\n\n\n<p>For the papers published this year, please see the first author&#8217;s Google Scholar page (-&gt; Their Homepage)<br><a href=\"https:\/\/scholar.google.com\/citations?hl=en&amp;user=HGjfmRUAAAAJ\">Zeyad Alghamdi,<\/a> <a href=\"https:\/\/scholar.google.com\/citations?hl=en&amp;user=AG3mObUAAAAJ\">Alimohammad Beigi<\/a>. <a href=\"https:\/\/scholar.google.com\/citations?hl=en&amp;user=TgOIlfYAAAAJ\">Ujun Jeong<\/a>, <a href=\"https:\/\/scholar.google.com\/citations?hl=en&amp;user=Wu6doL0AAAAJ\">Bohan Jiang<\/a>, <a href=\"https:\/\/scholar.google.com\/citations?hl=en&amp;user=dHu5ehsAAAAJ\">Ahmet Kapki\u00e7<\/a>, <a href=\"https:\/\/scholar.google.com\/citations?hl=en&amp;user=esDfeWQAAAAJ\">Tharindu Kumarage<\/a>, <a href=\"https:\/\/scholar.google.com\/citations?hl=en&amp;user=JaX6HGAAAAAJ\">Dawei Li<\/a>, <a href=\"https:\/\/scholar.google.com\/citations?hl=en&amp;user=Pu3B4kIAAAAJ\">Paras Sheth<\/a>, <a href=\"https:\/\/scholar.google.com\/citations?hl=en&amp;user=yMV7JtIAAAAJ\">Zhen Tan<\/a>, <a href=\"https:\/\/scholar.google.com\/citations?user=lnT_GWEAAAAJ&amp;hl=en\">Lo Pang-Yun Ting (Teila)<\/a>, <a href=\"https:\/\/scholar.google.com\/citations?hl=en&amp;user=QNxfe2MAAAAJ\">Saketh Vishnubhatla<\/a>, <a href=\"https:\/\/scholar.google.com\/citations?hl=en&amp;user=H4mafGwAAAAJ\">Shu Wan<\/a>, <a href=\"https:\/\/scholar.google.com\/citations?hl=en&amp;user=xZQHi0EAAAAJ\">Chengshuai Zhao<\/a><\/p>\n\n\n\n<p><a href=\"https:\/\/scholar.google.com\/citations?user=lnT_GWEAAAAJ&amp;hl=en\">Lo Pang-Yun Ting (Teila)<\/a> (<strong>Best Paper<\/strong> at t<a href=\"https:\/\/openreview.net\/group?id=NeurIPS.cc\/2025\/Workshop\/TS4H&amp;referrer=%5BHomepage%5D(%2F)#tab-accept-spotlight\">he TS4H workshop<\/a>&nbsp;@ NeurIPS 2025)<br><a href=\"https:\/\/scholar.google.com\/citations?hl=en&amp;user=xZQHi0EAAAAJ\">Chengshuai Zhao<\/a> (<strong>Best Paper<\/strong> in ACM&nbsp;<a href=\"https:\/\/cikm2025.org\/\">CIKM2025 Demo Papers Track<\/a>)<br><a href=\"https:\/\/scholar.google.com\/citations?hl=en&amp;user=TgOIlfYAAAAJ\">Ujun Jeong<\/a> (<strong>Best Paper<\/strong> in ASONAM2025 Multidisciplinary Track) <br><a href=\"https:\/\/scholar.google.com\/citations?hl=en&amp;user=JaX6HGAAAAAJ\">Dawei Li<\/a> (<strong>Best Pape<\/strong>r at Workshop DIG-BUGS@ICML2025)<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><a href=\"https:\/\/chengshuaizhao0.github.io\/\">Chengshuai Zhao,<\/a> Garima Agrawal, Fan Zhang, Tharindu Kumarage, Zhen Tan, Yuli Deng, Ying-Chih Chen, Huan Liu. &#8220;Ontology-Aware RAG for Improved Question-Answering in Cybersecurity Education\u201d, The 13th IEEE International Conference on Big Data (<a href=\"https:\/\/conferences.cis.um.edu.mo\/ieeebigdata2025\/\">IEEE BigData 2025<\/a>), Dec. 8-11, 2025,&nbsp; Macau SAR, China.<\/li>\n\n\n\n<li><a href=\"https:\/\/alimohammadbeigi.github.io\/\">Alimohammad Beigi<\/a>, Bohan Jiang, Dawei Li, Zhen Tan, Pouya Shaeri, Tharindu Kumarage, Amrita Bhattacharjee, and Huan Liu. &#8220;Can LLMs improve multimodal fact-checking by asking relevant questions?&#8221;, The 13th IEEE International Conference on Big Data (<a href=\"https:\/\/conferences.cis.um.edu.mo\/ieeebigdata2025\/\">IEEE BigData 2025<\/a>), Dec. 8-11, 2025,&nbsp; Macau SAR, China.<\/li>\n\n\n\n<li><a href=\"https:\/\/scholar.google.com\/citations?hl=en&amp;user=H4mafGwAAAAJ\">Shu Wan<\/a>, R. Shah, J. Sabo, H. Liu, and K. S. Candan. CauSTream: Causal Spatio-Temporal Representation Learning for Streamflow Forecasting. The 13th IEEE International Conference on Big Data (<a href=\"https:\/\/conferences.cis.um.edu.mo\/ieeebigdata2025\/\">IEEE BigData 2025<\/a>), Dec. 8-11, 2025,&nbsp; Macau SAR, China.<\/li>\n\n\n\n<li><a href=\"https:\/\/chengshuaizhao0.github.io\/\">Chengshuai Zhao<\/a>, Riccardo De Maria, Tharindu Kumarage, Kumar Satvik Chaudhary, Garima Agrawal, Yiwen Li, Jongchan Park, Ying-Chih Chen, Yuli Deng, and Huan Liu. &#8220;CyberBOT: Ontology-Grounded Retrieval Augmented Generation for Reliable Cybersecurity Education\u201d.  <a href=\"https:\/\/dl.acm.org\/conference\/cikm\">The 35th ACM International Conference on Information and Knowledge Management<\/a> (<a href=\"https:\/\/cikm2025.org\/\">CIKM 2025<\/a>),  <strong>Best Demo Paper.<\/strong> November 10-14, 2025. Seoul, Korea. <a href=\"https:\/\/doi.org\/10.1145\/3746252.3761478\">https:\/\/doi.org\/10.1145\/3746252.3761478<\/a><\/li>\n\n\n\n<li><a href=\"https:\/\/scholar.google.com\/citations?user=QNxfe2MAAAAJ&amp;hl=en\">Saketh Vishnubhatla<\/a>, Alimohammad Beigi, Rui Heng Foo, Umang Goel, Ujun Jeong, Bohan Jiang, Adrienne Raglin, Huan Liu. &#8220;An Interventional Approach to Real-Time Disaster Assessment via Causal Attribution\u201d, <a href=\"https:\/\/dl.acm.org\/conference\/cikm\">The 35th ACM International Conference on Information and Knowledge Management<\/a> (<a href=\"https:\/\/cikm2025.org\/\">CIKM 2025<\/a>),  (Demo Paper) November 10-14, 2025. Seoul, Korea.<\/li>\n\n\n\n<li><a href=\"https:\/\/scholar.google.com\/citations?hl=en&amp;user=dHu5ehsAAAAJ\">Ahmet Kapki\u00e7<\/a>, Pratanu Mandal, Abhinav Gorantla, Shu Wan, Ertu\u011frul \u00c7oban, Paras Sheth, Huan Liu, and K. Sel\u00e7uk Candan. &#8220;CausalBench-ER: Causally-Informed Explanations and Recommendations for Reproducible Benchmarking&#8221;. <a href=\"https:\/\/dl.acm.org\/conference\/cikm\">The 35th ACM International Conference on Information and Knowledge Management<\/a> (<a href=\"https:\/\/cikm2025.org\/\">CIKM 2025<\/a>),  (Demo Paper) November 10-14, 2025. Seoul, Korea.<\/li>\n\n\n\n<li><a href=\"https:\/\/scholar.google.com\/citations?hl=en&amp;user=JaX6HGAAAAAJ\">Dawei Li<\/a>,  Bohan Jiang, Liangjie Huang, Alimohammad Beigi, Chengshuai Zhao, Zhen Tan, Amrita Bhattacharjee, Yuxuan Jiang, Canyu Chen, Tianhao Wu, Kai Shu, Lu Cheng and Huan Liu. &#8220;From Generation to Judgment: Opportunities and Challenges of LLM-as-a-judge\u201d, Conference on Empirical Methods in Natural Language Processing (<a href=\"https:\/\/2025.emnlp.org\/\">EMNLP 2025<\/a>), Nov 4 -9, 2025. Suzhou, China<\/li>\n\n\n\n<li><a href=\"https:\/\/scholar.google.com\/citations?user=QNxfe2MAAAAJ&amp;hl=en\">Saketh Vishnubhatla<\/a>, Ujun Jeong, Bohan Jiang, Paras Sheth, Zhen Tan, Adrienne Raglin, and Huan Liu. &#8220;Assessing On-the-Ground Disaster Impact Using Online Data Sources\u201d, 18th International Conference on Social Computing, Behavioral-Cultural Modeling &amp; Prediction and Behavior Representation in Modeling and Simulation, <a href=\"https:\/\/sbp-brims.org\/2025\/program\/\">SBP-BRiMS 2025<\/a>, October 15-17, 2025. CMU, Pittsburgh, PA<\/li>\n\n\n\n<li><a href=\"https:\/\/ujeong1.github.io\/\">Ujun Jeong<\/a>, Alimohammad Beigi, Anique Tahir, Susan Xu Tang, H. Russell Bernard, and Huan Liu. &#8220;Fediverse Sharing: Cross-Platform Interaction Dynamics Between Threads and Mastodon Users.&#8221; In International Conference on Advances in Social Networks Analysis and Mining (<a href=\"https:\/\/asonam.cpsc.ucalgary.ca\/2026\/\">ASONAM 2025<\/a>) Multidisciplinary, Niagara, August 23-29, 2025.  <strong>Best Paper<\/strong> in ASONAM2025 Multidisciplinary Track.<\/li>\n\n\n\n<li><a href=\"https:\/\/chengshuaizhao0.github.io\/\">Chengshuai Zhao<\/a>, Zhen Tan, Chau-Wai Wong, Xinyan Zhao, Tianlong Chen, and Huan Liu.&nbsp; &#8220;SCALE: Towards Collaborative Content Analysis in Social Science with Large Language Model Agents and Human Intervention\u201d. In Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (<a href=\"https:\/\/2025.aclweb.org\/\">ACL 2025<\/a>) (Volume 1: Long Papers), pages 8473\u20138503, Jul. 27 &#8211; Aug. 1, 2025. Vienna, Austria.<\/li>\n\n\n\n<li><a href=\"https:\/\/scholar.google.com\/citations?hl=en&amp;user=yMV7JtIAAAAJ\">Zhen Tan<\/a>, Jun Yan, I Hsu, Rujun Han, Zifeng Wang, Long T Le, Yiwen Song, Yanfei Chen, Hamid Palangi, George Lee, Anand Iyer, Tianlong Chen, Huan Liu, Chen-Yu Lee, Tomas Pfister. &#8220;In Prospect and Retrospect: Reflective Memory Management for Long-term Personalized Dialogue Agents\u201d, The Annual Meeting of the Association for Computational Linguistics. (<a href=\"https:\/\/2025.aclweb.org\/\">ACL 2025<\/a>), Jul. 27 &#8211; Aug. 1, 2025. Vienna, Austria.<\/li>\n\n\n\n<li><a href=\"https:\/\/scholar.google.com\/citations?hl=en&amp;user=yMV7JtIAAAAJ\">Zhen Tan<\/a>, Chengshuai Zhao, Song Wang, Jundong Li, Tianlong Chen, Huan Liu. &#8220;In Prospect and Retrospect: Reflective Memory Management for Long-term Personalized Dialogue Agents\u201d, Annual AAAI Conference on Artificial Intelligence (<a href=\"https:\/\/aaai.org\/conference\/aaai\/aaai-25\/\">AAAI 2025<\/a>), Philadelphia, Feb. 25 &#8211; Mar. 4, 2025.<\/li>\n<\/ul>\n\n\n\n<p><strong>2024<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><a href=\"https:\/\/scholar.google.com\/citations?user=hdXXMPwAAAAJ&amp;hl=en\">Amrita Bhattacharjee<\/a>, Raha Moraffah, Joshua Garland, and Huan Liu. &#8220;Zero-shot LLM-guided Counterfactual Generation: A Case Study on NLP Model Evaluation&#8221;, Short Paper,&nbsp;IEEE International Conference on Big Data (<a href=\"https:\/\/www3.cs.stonybrook.edu\/~ieeebigdata2024\/index.html\">IEEE BigData 2024<\/a>), Dec 15-18, 2024. Washington DC<\/li>\n\n\n\n<li>Yoonhyuk Choi, Reepal Shah, John Sabo, Huan Liu, and Sel\u00e7uk Candan. &#8220;Prioritizing Potential Wetland Areas via Region-to-Region Knowledge Transfer through Domain Disentanglement and Adaptive Propagation&#8221;, Short Paper,&nbsp;IEEE International Conference on Big Dadta (<a href=\"https:\/\/www3.cs.stonybrook.edu\/~ieeebigdata2024\/index.html\">IEEE BigData 2024<\/a>), Dec 15-18, 2024. Washington DC<\/li>\n\n\n\n<li><a href=\"https:\/\/scholar.google.com\/citations?user=Pu3B4kIAAAAJ&amp;hl=en\">Paras Sheth<\/a>, Tharindu Kumarage, Raha Moraffah, Aman Chadha, and Huan Liu. &#8220;Cross-Platform Hate Speech Detection with Weakly Supervised Causal Disentanglement&#8221;, PSBD2024 Track, IEEE International Conference on Big Dadta (<a href=\"https:\/\/www3.cs.stonybrook.edu\/~ieeebigdata2024\/index.html\">IEEE BigData 2024<\/a>), Dec 15-18, 2024. Washington DC<\/li>\n\n\n\n<li>Shu Wan, Reepal Shah, Qi Deng, John Sabo, K. Sel\u00e7uk Candan, and Huan Liu. &#8220;Spatiotemporal Causal Learning for Streamflow Forecasting&#8221;, MLBD Track,&nbsp;IEEE International Conference on Big Dadta (<a href=\"https:\/\/www3.cs.stonybrook.edu\/~ieeebigdata2024\/index.html\">IEEE BigData 2024<\/a>), Dec 15-18, 2024. Washington DC<\/li>\n\n\n\n<li><a href=\"https:\/\/scholar.google.com\/citations?user=B7_IdrQAAAAJ&amp;hl=en\">Garima Agrawal<\/a>, Tharindu Kumarage, Zeyad Alghamidi, and Huan Liu. &#8220;Mindful-RAG: A Study of Points of Failure in Retrieval Augmented Generation&#8221;, The 2nd International Conference on Foundation and Large Language Models (FLLM2024), November 26 &#8211; 29, 2024. Dubai, UAE.<\/li>\n\n\n\n<li><a href=\"https:\/\/scholar.google.com\/citations?user=yMV7JtIAAAAJ&amp;hl=en\">Zhen Tan<\/a>,&nbsp;<a href=\"https:\/\/scholar.google.com\/citations?user=JaX6HGAAAAAJ&amp;hl=en\">Dawei Li,<\/a>&nbsp;Song Wang, Alimohammad Beigi, Bohan Jiang, Amrita Bhattacharjee, Mansooreh Karami, Jundong Li, Lu Cheng, and Huan Liu. &#8220;Large Language Models for Data Annotation: A Survey&#8221;, The 2024 Conference on Empirical Methods in Natural Language Processing (<a href=\"https:\/\/2024.emnlp.org\/\">EMNLP2024<\/a>), November 12 &#8211; 16, 2024. Miami, Florida<\/li>\n\n\n\n<li><a href=\"https:\/\/scholar.google.com\/citations?user=yMV7JtIAAAAJ&amp;hl=en\">Zhen Tan<\/a>,&nbsp;Chengshuai Zhao, Raha Moraffah, Yifan Li, Song Wang, Jundong Li, Tianlong Chen,&nbsp; and Huan Liu. &#8220;`Glue pizza and eat rocks&#8217; &#8211; Exploiting Vulnerabilities in Retrieval-Augmented Generative Models&#8221;, The 2024 Conference on Empirical Methods in Natural Language Processing (<a href=\"https:\/\/2024.emnlp.org\/\">EMNLP2024<\/a>), November 12 &#8211; 16, 2024. Miami, Florida<\/li>\n\n\n\n<li><a href=\"https:\/\/scholar.google.com\/citations?user=JaX6HGAAAAAJ&amp;hl=en\">Dawei Li<\/a>, Shu Yang, Zhen Tan, Jae Young Baik, Sukwon Yun, Joseph Lee, Aaron Chacko, Bojian Hou, Duy Duong-Tran, Ying Ding, Huan Liu, Li Shen, Tianlong Chen. &#8220;DALK: Dynamic Co-Augmentation of LLMs and KG to answer Alzheimer\u2019s Disease Questions with Scientific Literature&#8221;, The 2024 Conference on Empirical Methods in Natural Language Processing (<a href=\"https:\/\/2024.emnlp.org\/\">EMNLP2024<\/a>), November 12 &#8211; 16, 2024. Miami, Florida<\/li>\n\n\n\n<li>Lin Ai,&nbsp;<a href=\"https:\/\/scholar.google.com\/citations?user=esDfeWQAAAAJ&amp;hl=en\">Tharindu S. Kumarage<\/a>,&nbsp;<a href=\"https:\/\/scholar.google.com\/citations?user=hdXXMPwAAAAJ&amp;hl=en\">Amrita Bhattacharjee<\/a>, Zizhou Liu, Zheng Hui, Michael S. Davinroy, James Cook, Laura Cassani, Kirill Trapeznikov, Matthias Kirchner, Arslan Basharat, Anthony Hoogs, Joshua Garland, Huan Liu, Julia Hirschberg. &#8220;Defending Against Social Engineering Attacks in the Age of LLMs&#8221;, The 2024 Conference on Empirical Methods in Natural Language Processing (<a href=\"https:\/\/2024.emnlp.org\/\">EMNLP2024<\/a>), November 12 &#8211; 16, 2024. Miami, Florida<\/li>\n\n\n\n<li><a href=\"https:\/\/scholar.google.com\/citations?user=Wu6doL0AAAAJ&amp;hl=en\">Bohan Jiang<\/a>, Chengshuai Zhao, Zhen Tan and Huan Liu.. &#8220;Catching Chameleons: Detecting Evolving Disinformation Generated using Large Language Models&#8221;, The Six IEEE International Conference on Cognitive Machine Intelligence (<a href=\"https:\/\/www.sis.pitt.edu\/lersais\/conference\/cogmi\/2024\/\">CogMI2024<\/a>), October 28 &#8211; 30, 2024. Washington D.C.&nbsp;<strong>Best Student Paper Award<\/strong><\/li>\n\n\n\n<li>Ahmet Kapki\u00e7, Pratanu Mandal, Shu Wan, Paras Sheth, Abhinav Gorantla, Yoonhyuk Choi, Huan Liu, and K. Sel\u00e7uk Candan. Demo Track, &#8220;Introducing CausalBench: A Flexible Benchmark Framework for Causal Analysis and Machine Learning&#8221;, 33rd ACM International Conference on Information and Knowledge Management&nbsp; (<a href=\"https:\/\/cikm2024.org\/accepted-papers\/\">CIKM2024<\/a>), October 21-25, 2024. Boise, Idaho.&nbsp;<strong>Best Demo Paper Award<\/strong><\/li>\n\n\n\n<li><a href=\"https:\/\/scholar.google.com\/citations?user=Wu6doL0AAAAJ&amp;hl=en\">Bohan Jiang<\/a>, Lu Cheng, Zhen Tan, Ruocheng Guo and Huan Liu. &#8220;Media Bias Matters: Understanding the Impact of Politically Biased News on Vaccine Attitudes in Social Media&#8221;, The 11th IEEE International Conference on Data Science and Advanced Analytics (<a href=\"https:\/\/dsaa2024.dsaa.co\/\">DSAA2024<\/a>), October 6-10, 2024. San Diego, CA<\/li>\n\n\n\n<li>Alimohammad Beigi, Zhen Tan, Nivedh Mudiam, Canyu Chen, Kai Shu and Huan Liu. &#8220;Model Attribution in Machine-Generated Disinformation: A Domain Generalization Approach with Supervised Contrastive Learning&#8221;, The 11th IEEE International Conference on Data Science and Advanced Analytics (<a href=\"https:\/\/dsaa2024.dsaa.co\/\">DSAA2024<\/a>), October 6-10, 2024. San Diego, CA<\/li>\n\n\n\n<li>Yifan Li, Anh Dao, Wentao Bao,&nbsp;<a href=\"https:\/\/scholar.google.com\/citations?user=yMV7JtIAAAAJ&amp;hl=en\">Zhen Tan<\/a>, Tianlong Chen, Huan Liu, and Yu Kong. &#8220;Facial Affective Behavior Analysis with Instruction Tuning&#8221;, The 18th European Conference on Computer Vision (<a href=\"https:\/\/eccv.ecva.net\/\">ECCV2024<\/a>), September 29 &#8211; October 4, 2024. Milan, Italy<\/li>\n\n\n\n<li><a href=\"https:\/\/scholar.google.com\/citations?hl=en&amp;user=6b8YRBQAAAAJ\">Anique&nbsp;Tahir<\/a>, Lu Cheng, Manuel Sandoval, Yasin Silva, Deborah Hall, and Huan Liu. &#8220;Evaluating LLMs Capabilities Towards Understanding Social Dynamics&#8221;, The 16th International Conference Adavances in Social Networks Analysis and Mining (<a href=\"https:\/\/asonam.cpsc.ucalgary.ca\/2024\/\">ASONAM2024<\/a>), September 2-5, 2024. Calabria, Italy.<\/li>\n\n\n\n<li><a href=\"https:\/\/scholar.google.com\/citations?user=j7sy8yQAAAAJ&amp;hl=en\">Nayoung Kim<\/a>, David Mosallanezhad, Lu Cheng, Michelle Mancenido, and Huan Liu. &#8220;Robust Stance Detection: Understanding Public Perceptions in Social Media&#8221;. The 16th International Conference Davances in Social Networks Analysis and Mining (<a href=\"https:\/\/asonam.cpsc.ucalgary.ca\/2024\/\">ASONAM2024<\/a>), September 2-5, 2024. Calabria, Italy.<\/li>\n\n\n\n<li>Shoujin Wang, Wentao Wang, Xiuzhen Zhang, Yan Wang, Huan Liu, and Fang Chen. &#8220;A Hierarchical and Disentangling Interest Learning Framework for Unbiased and True News Recommendation&#8221;, ACM SIGKDD Conference on Knowledge Discovery and Data Mining (<a href=\"https:\/\/kdd2024.kdd.org\/\">KDD24<\/a>), August 25-29, 2024. Barcelona, Spain.<\/li>\n\n\n\n<li><a href=\"https:\/\/scholar.google.com\/citations?hl=en&amp;user=6b8YRBQAAAAJ\">Anique&nbsp;Tahir<\/a>, Lu Cheng, and Huan Liu. &#8220;JORA: JAX Tensor-Parallel LoRA Library for Retrieval Augmented Fine-Tuning&#8221;, System Demonstration Track. The 62nd Annual Meeting of the Association for Computational Linguistics (<a href=\"https:\/\/2024.aclweb.org\/\">ACL 2024<\/a>), August 11 &#8211; 26, 2024. Bangkok, Thailand.<\/li>\n\n\n\n<li>Saurabh Bhausaheb Zinjad, Amrita Bhattacharjee, Amey Bhilegaonkar and Huan Liu. &#8220;ResumeFlow: An LLM-facilitated Pipeline for Personalized Resume Generation and Refinement&#8221;, Demo Track, The 47th International ACM SIGIR Conference on Research and Development in Information Retrieval (<a href=\"https:\/\/sigir-2024.github.io\/\">SIGIR2024<\/a>), July 14-18, 2024. Washington DC.<\/li>\n\n\n\n<li><a href=\"https:\/\/scholar.google.com\/citations?user=B7_IdrQAAAAJ&amp;hl=en\">Garima Agrawal<\/a>, Tharindu Sandaruwan Kumarage, Zeyad Alghamdi, and Huan Liu. &#8220;Can Knowledge Graphs Reduce Hallucinations in LLMs? : A Survey&#8221;, Annual Conference of the North American Chapter of the Association for Computational Linguistics (<a href=\"https:\/\/2024.naacl.org\/\">NAACL 2024<\/a>). June 16-21, 2024, Mexico City, Mexico.<\/li>\n\n\n\n<li><a href=\"https:\/\/scholar.google.com\/citations?view_op=list_works&amp;hl=en&amp;hl=en&amp;user=TgOIlfYAAAAJ\">Ujun Jeong<\/a>, Paras Sheth, Anique Tahir, Faisal Alatawi, H Russell Bernard, and Huan Liu. &#8220;<a href=\"https:\/\/arxiv.org\/abs\/2305.09196\">Exploring Platform Migration Patterns between Twitter and Mastodon: A User Behavior Study<\/a>&#8220;,&nbsp;In International AAAI Conference on Web and Social Media (<a href=\"https:\/\/www.icwsm.org\/2024\/index.html\/\">ICWSM2024<\/a>), June 3-6, 2024. Buffalo, New York.&nbsp;<a href=\"https:\/\/urldefense.com\/v3\/__https:\/\/streaklinks.com\/Bnyu_i-l5bMddRwlPwjvk2IN\/https*3A*2F*2Farxiv.org*2Fabs*2F2305.09196__;JSUlJSU!!IKRxdwAv5BmarQ!e7j0Bq_diWfzZ7X1XHI_fElZtLMyTZx7n6Eq9CeBquk9eMyS0iKqJ6JmV_WrVSoVk2B7nMvDGBntmjA$\" target=\"_blank\" rel=\"noreferrer noopener\">arxiv<\/a><\/li>\n\n\n\n<li><a href=\"https:\/\/scholar.google.com\/citations?user=HGjfmRUAAAAJ&amp;hl=en\">Zeyad Alghamdi<\/a>, Tharindu Kumarage, Garima Agrawal, and Huan Liu. &#8220;Less is More: Stress Detection through Condensed Social Media Contents&#8221;, In 11th European Conference on Social Media (<a href=\"https:\/\/www.academic-conferences.org\/conferences\/ecsm\/\">ECSM<\/a>), 30 &#8211; 31 May 2024, University of Brighton, UK<\/li>\n\n\n\n<li><a href=\"https:\/\/scholar.google.com\/citations?user=KwWQgaUAAAAJ&amp;hl=en\">Raha Moraffah<\/a>, Shubh Khandelwal, Amrita Bhattacharjee, and Huan Liu.&nbsp; &#8220;Adversarial Text Purification: A Large Language Model Approach for Defense&#8221;, In the 28th Pacific-Asia Conference on Knowledge Discovery and Data Mining, (<a href=\"https:\/\/pakdd2024.org\/\">PAKDD<\/a>), May 7-10, 2024, Taipei, Taiwan.<\/li>\n\n\n\n<li><a href=\"https:\/\/scholar.google.com\/citations?user=yMV7JtIAAAAJ&amp;hl=en\">Zhen Tan<\/a>,&nbsp;Lu Cheng, Song Wang, Bo Yuan, Jundong Li, and Huan Liu. &#8220;Interpreting Pretrained Language Models via Concept Bottlenecks&#8221;, In the 28th Pacific-Asia Conference on Knowledge Discovery and Data Mining, (<a href=\"https:\/\/pakdd2024.org\/\">PAKDD<\/a>), May 7-10, 2024, Taipei, Taiwan.&nbsp;<strong><em>Best Paper Award<\/em><\/strong><\/li>\n\n\n\n<li><a href=\"https:\/\/scholar.google.com\/citations?user=KwWQgaUAAAAJ&amp;hl=en\">Raha Moraffah<\/a>&nbsp;and Huan Liu. &#8220;Exploiting Class Probabilities for Black-box Sentence-level Attacks\u201d, In the&nbsp;18th&nbsp;Conference of&nbsp;the&nbsp;European&nbsp;Chapter of&nbsp;the&nbsp;Association for&nbsp;Computational Linguistics (<a href=\"https:\/\/2024.eacl.org\/\">EACL<\/a>),&nbsp; March 17-22, 2024, St. Julians, in Malta.<\/li>\n\n\n\n<li><a href=\"https:\/\/scholar.google.com\/citations?user=Wu6doL0AAAAJ&amp;hl=en\">Bohan Jiang<\/a>, Zhen Tan, Ayushi Nirmal, and Huan Liu. &#8220;Disinformation Detection: An Evolving Challenge in the Age of LLMs&#8221;, SIAM International Conference on Data Mining (<a href=\"https:\/\/www.siam.org\/conferences\/cm\/conference\/sdm24\">SDM24<\/a>), April 18-20, 2024. Houston, TX.<\/li>\n\n\n\n<li><a href=\"https:\/\/scholar.google.com\/citations?view_op=list_works&amp;hl=en&amp;hl=en&amp;user=TgOIlfYAAAAJ\">Ujun Jeong<\/a>, Ayushi Nirmal, Kritshekhar Jha, Xu Tang, H. Russell Bernard, and Huan Liu. &#8220;User Migration across Multiple Social Media Platforms&#8221;, SIAM International Conference on Data Mining (<a href=\"https:\/\/www.siam.org\/conferences\/cm\/conference\/sdm24\">SDM24<\/a>), April 18-20, 2024. Houston, TX.<\/li>\n\n\n\n<li><a href=\"https:\/\/scholar.google.com\/citations?user=Pu3B4kIAAAAJ&amp;hl=en\">Paras Sheth<\/a>, Raha Moraffah, Tharindu S Kumarage, Aman Chadha, and Huan Liu. &#8220;Causality Guided Disentanglement for Cross-Platform Hate Speech Detection&#8221;,&nbsp; The 17th&nbsp; ACM International Conference on Web Search and Data Mining (<a href=\"https:\/\/www.wsdm-conference.org\/2024\/\">WSDM2024<\/a>), March 4-8, 2024. Merida, Yucatan, Mexico.<\/li>\n\n\n\n<li><a href=\"https:\/\/scholar.google.com\/citations?user=yMV7JtIAAAAJ&amp;hl=en\">Zhen Tan<\/a>,&nbsp;Tianlong Chen, Zhenyu Zhang, and Huan Liu. &#8220;Sparsity-guided Holistic Explanation for LLMs with Interpretable Inference-time Intervention&#8221;,&nbsp; Thirty-Eighth AAAI Conference on Artificial Intelligence&nbsp;<a href=\"https:\/\/aaai.org\/aaai-conference\/aaai-24-technical-program\/\">(AAAI2024<\/a>), February 20-27, 2024. Vancouver, Canada.<\/li>\n\n\n\n<li>Baoyu Jing, Yuchen Yan, Kaize Ding, Chanyoung Park, Yada Zhu, Huan Liu, and Hanghang Tong. &#8220;Sterling: Synergistic Representation Learning on Bipartite Graphs&#8221;, Thirty-Eighth AAAI Conference on Artificial Intelligence&nbsp;<a href=\"https:\/\/aaai.org\/aaai-conference\/aaai-24-technical-program\/\">(AAAI2024<\/a>), February 20-27, 2024. Vancouver, Canada.<\/li>\n\n\n\n<li><a href=\"https:\/\/scholar.google.com\/citations?user=B7_IdrQAAAAJ&amp;hl=en\">Garima Agrawal<\/a>, Kuntal Pal, Yuli Deng, Huan Liu and Ying-Chih Chen. &#8220;CyberQ: Generating Questions and Answers for Cybersecurity Education using Knowledge Graph-Augmented LLMs&#8221;, EAAI: The Symposium on Educational Advances in Artificial Intelligence (<a href=\"https:\/\/eaai-conf.github.io\/year\/eaai-24.html\">EAAI2024<\/a>), Collocated with AAAI2024. February 24-25, 2024. Vancouver, Canada.<\/li>\n<\/ul>\n\n\n\n<p><strong>2023<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><a href=\"https:\/\/scholar.google.com\/citations?user=esDfeWQAAAAJ&amp;hl=en\">Tharindu Kumarage<\/a>, Paras Sheth, Raha Moraffah, Joshua Garland, and Huan Liu. &#8220;How Reliable Are AI-Generated-Text Detectors? An Assessment Framework Using Evasive Soft Prompts&#8221;, Conference on Empirical Methods in Natural Language Processing (<a href=\"https:\/\/2023.emnlp.org\/\">EMNLP 202<\/a>3), Singapore, Dec 6 -10, 2023.<\/li>\n\n\n\n<li><a href=\"https:\/\/scholar.google.com\/citations?user=Lqi_e8UAAAAJ&amp;hl=en\">Faisal&nbsp;Alatawi<\/a>, Paras Sheth and Huan Liu. &#8220;Quantifying the Echo Chamber Effect: an Embedding Distance-based Approach&#8221;,&nbsp; The IEEE\/ACM International Conference on Advances in Social Network Analysis and Mining (<a href=\"https:\/\/asonam.cpsc.ucalgary.ca\/2023\/\">ASONAM2023<\/a>), Nov 6-9, 2023. Kusadasi, Turkey.<\/li>\n\n\n\n<li><a href=\"https:\/\/scholar.google.com\/citations?user=esDfeWQAAAAJ&amp;hl=en\">Tharindu Kumarage<\/a>&nbsp;and Huan Liu. &#8220;Neural Authorship Attribution: Stylometric Analysis on Large Language Models&#8221;,&nbsp;<a href=\"https:\/\/cyberc.org\/\">CyberC, IEEE TCCC<\/a>, Jiangsu, China November 2 &#8211; 4, 2023.<\/li>\n\n\n\n<li><a href=\"https:\/\/scholar.google.com\/citations?user=hdXXMPwAAAAJ&amp;hl=en\">Amrita Bhattacharjee<\/a>, Tharindu Kumarage, Raha Moraffah, and Huan Liu. &#8220;<a href=\"http:\/\/www.afnlp.org\/conferences\/ijcnlp2023\/proceedings\/main-long\/cdrom\/pdf\/2023.ijcnlp-long.40.pdf\">ConDA: Contrastive Domain Adaptation for AI-generated Text Detection<\/a>&#8220;, The 13th International Joint Conference NLP and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics (<a href=\"http:\/\/www.ijcnlp-aacl2023.org\/\">IJCNLP-AACL<\/a>).&nbsp;&nbsp; Nov 1 -4, 2023. Bali, Indonesia.&nbsp;<strong><em>Outstanding Paper Award<\/em><\/strong><\/li>\n\n\n\n<li><a href=\"https:\/\/scholar.google.com\/citations?user=esDfeWQAAAAJ&amp;hl=en\">Tharindu Kumarage<\/a>, Amrita Bhattacharjee,&nbsp;Djordje Padejski,&nbsp;Kristy Roschke,&nbsp;Dan Gillmor,&nbsp;&nbsp;Scott Ruston,&nbsp;Huan Liu, and Joshua Garland. &#8220;J-Guard: Journalism Guided Adversarially Robust Detection of AI-generated News&#8221;, The 13th International Joint Conference NLP and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics (<a href=\"http:\/\/www.ijcnlp-aacl2023.org\/\">IJCNLP-AACL<\/a>).&nbsp;&nbsp; Nov 1 -4, 2023. Bali, Indonesia.<\/li>\n\n\n\n<li><a href=\"https:\/\/scholar.google.com\/citations?user=6b8YRBQAAAAJ&amp;hl=en\">Anique Tahir<\/a>, Lu Cheng, and Huan Liu. &#8220;Fairness through Aleatoric Uncertainty&#8221;, 32nd ACM International Conference on&nbsp;Information&nbsp;and Knowledge Management&nbsp;&nbsp;(<a href=\"https:\/\/uobevents.eventsair.com\/cikm2023\/\">CIKM2023<\/a>), October 21 &#8211; 25, 2023. Birmingham, UK.<\/li>\n\n\n\n<li><a href=\"https:\/\/scholar.google.com\/citations?user=Pu3B4kIAAAAJ&amp;hl=en\">Paras Sheth<\/a>, Ahmadreza David Mosallanezhad, Kaize Ding, Reepal Shah, John Sabo, Huan Liu and K. Sel\u00e7uk Candan. &#8220;STREAMS: Towards Spatio-Temporal Causal Discovery with Reinforcement Learning for Streamflow Rate Prediction&#8221;, Applied Research track. 32nd ACM International Conference on&nbsp;Information&nbsp;and Knowledge Management&nbsp;&nbsp;(<a href=\"https:\/\/uobevents.eventsair.com\/cikm2023\/\">CIKM2023<\/a>), October 21 &#8211; 25, 2023. Birmingham, UK.<\/li>\n\n\n\n<li>Zhen Yang, Junrui Liu, Tong Li, Di Wu, Shiqiu Yang and Huan Liu, &#8220;A two-tier shared embedding method for review-based recommender systems&#8221;, 32nd ACM International Conference on&nbsp;Information&nbsp;and Knowledge Management&nbsp;&nbsp;(<a href=\"https:\/\/uobevents.eventsair.com\/cikm2023\/\">CIKM2023<\/a>), October 21 &#8211; 25, 2023. Birmingham, UK.<\/li>\n\n\n\n<li>Qinghai Zhou, Kaize Ding, Huan Liu, and Hanghang Tong. &#8220;Learning Node Abnormality with Weak Supervision&#8221;, 32nd ACM International Conference on&nbsp;Information&nbsp;and Knowledge Management&nbsp;&nbsp;(<a href=\"https:\/\/uobevents.eventsair.com\/cikm2023\/\">CIKM2023<\/a>), October 21 &#8211; 25, 2023. Birmingham, UK.<\/li>\n\n\n\n<li>Hirthik Mathavan,&nbsp;<a href=\"https:\/\/scholar.google.com\/citations?user=yMV7JtIAAAAJ&amp;hl=en\">Zhen Tan<\/a>, Nivedh Mudiam and Huan Liu. &#8220;Inductive Linear Probing for Few-shot Node Classification&#8221;, 16th International Conference on Social Computing, Behavioral-Cultural Modeling &amp; Prediction and Behavior Representation in Modeling and Simulation (<a href=\"https:\/\/sbp-brims.org\/2023\/\">SBP-BRiMS2023<\/a>), September 22-23, 2023. Pittsburgh, PA.<\/li>\n\n\n\n<li>Suraj Jyothi Unni, Paras Sheth, Kaize Ding, Huan Liu and K. Selcuk Candan. &#8220;UPREVE: An End-to-End Causal Discovery Benchmarking System&#8221;, Demo Track, 16th International Conference on Social Computing, Behavioral-Cultural Modeling &amp; Prediction and Behavior Representation in Modeling and Simulation (<a href=\"https:\/\/sbp-brims.org\/2023\/\">SBP-BRiMS2023<\/a>), September 22-23, 2023. Pittsburgh, PA.<\/li>\n\n\n\n<li>&nbsp;Ayushi Nirmal,&nbsp;<a href=\"https:\/\/scholar.google.com\/citations?user=Wu6doL0AAAAJ&amp;hl=en\">Bohan Jiang<\/a>, and Huan Liu. &#8220;SocioHub: An Interactive Tool for Cross-Platform Social Media Data Collection&#8221;, Demo Track, 16th International Conference on Social Computing, Behavioral-Cultural Modeling &amp; Prediction and Behavior Representation in Modeling and Simulation (<a href=\"https:\/\/sbp-brims.org\/2023\/\">SBP-BRiMS2023<\/a>), September 22-23, 2023. Pittsburgh, PA.<\/li>\n\n\n\n<li><a href=\"https:\/\/scholar.google.com\/citations?user=Pu3B4kIAAAAJ&amp;hl=en\">Paras Sheth<\/a>, Tharindu Kumarage, Raha Moraffah, Aman Chadha, and Huan Liu. &#8220;<a href=\"https:\/\/arxiv.org\/abs\/2306.08804\">PEACE: Cross-Platform Hate Speech Detection-A Causality-guided Framework<\/a>&#8220;,&nbsp; European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (<a href=\"https:\/\/2023.ecmlpkdd.org\/\">ECML PKDD2023<\/a>), September 18-22, 2023. Torino, Italy.<\/li>\n\n\n\n<li><a href=\"https:\/\/scholar.google.com\/citations?user=yMV7JtIAAAAJ&amp;hl=en\">Zhen Tan<\/a>, Ruocheng Guo,&nbsp;Kaize Ding, and Huan Liu. &#8220;Virtual Node Tuning for Few-Shot Node Classification&#8221;, ACM SIGKDD Conference on Knowledge Discovery and Data Mining (<a href=\"https:\/\/kdd.org\/kdd2023\/\">KDD2023<\/a>), August 6 &#8211; 10, 2023. Long Beach, CA.<\/li>\n\n\n\n<li>Song Wang,&nbsp;<a href=\"https:\/\/scholar.google.com\/citations?user=yMV7JtIAAAAJ&amp;hl=en\">Zhen Tan<\/a>, Huan Liu,&nbsp;Jundong Li. &#8220;Contrastive Meta-Learning for Few-shot Node Classification&#8221;,&nbsp;ACM SIGKDD Conference on Knowledge Discovery and Data Mining (<a href=\"https:\/\/kdd.org\/kdd2023\/\">KDD2023<\/a>), August 6 &#8211; 10, 2023. Long Beach, CA.<\/li>\n\n\n\n<li>Yixin Liu,&nbsp;<a href=\"https:\/\/www.public.asu.edu\/~kding9\/\">Kaize Ding<\/a>, Jianling Wang, Vincent Lee, Huan Liu, and Shirui Pan. &#8220;Learning Strong Graph Neural Networks with Weak Information&#8221;, ACM SIGKDD Conference on Knowledge Discovery and Data Mining (<a href=\"https:\/\/kdd.org\/kdd2023\/\">KDD2023<\/a>), August 6 &#8211; 10, 2023. Long Beach, CA.<\/li>\n\n\n\n<li><a href=\"https:\/\/www.public.asu.edu\/~kding9\/\">Kaize Ding<\/a>, Albert Jiongqian Liang, Bryan Perozzi, Ting Chen, Ruoxi Wang, Lichan Hong, Ed H. Chi, Huan Liu and Derek Zhiyuan Cheng. &#8220;HyperFormer: Learning Expressive Sparse Feature Representations via Hypergraphs&#8221;, the 46th International ACM&nbsp;<a href=\"https:\/\/sigir.org\/sigir2023\/\">SIGIR<\/a>&nbsp;Conference on Research and Development in Information Retrieval. short paper, July 23-27, 2023. Taipei, Taiwan.&nbsp;<\/li>\n\n\n\n<li><a href=\"https:\/\/scholar.google.com\/citations?user=HGjfmRUAAAAJ&amp;hl=en\">Zeyad Alghamdi<\/a>,Tharindu Kumarage, Mansooreh Karami, Faisal Alatawi, Ahmadreza Mosallanezhad, Huan Liu. &#8220;<a href=\"https:\/\/papers.academic-conferences.org\/index.php\/ecsm\/article\/view\/1028\">Studying the Influence of Toxicity and Emotion Features for Stress Detection on Social Media<\/a>&#8220;, Proceedings of the 10th European Conference on Social Media&nbsp;<a href=\"https:\/\/papers.academic-conferences.org\/index.php\/ecsm\/issue\/view\/18\">(ECSM2023<\/a>), May 18-19, 2023. Krakow, Poland.<\/li>\n\n\n\n<li>Yixin Liu*,&nbsp;<a href=\"https:\/\/www.public.asu.edu\/~kding9\/\">Kaize Ding<\/a>*, Huan Liu, and Shirui Pan. &#8220;<a href=\"https:\/\/dl.acm.org\/doi\/10.1145\/3539597.3570446\">GOOD-D: On Unsupervised Graph Out-Of-Distribution Detection<\/a>&#8220;,&nbsp; 16th ACM International Conference on Web Search and Data Mining (<a href=\"https:\/\/www.wsdm-conference.org\/2023\/\">WSDM<\/a>). Feb. 27 &#8211; Mar 3, 2023. Singapore<\/li>\n\n\n\n<li><a href=\"https:\/\/www.public.asu.edu\/~kding9\/\">Kaize Ding<\/a>*, Yancheng Wang*, Yingzhen Yang, and Huan Liu. &#8220;<a href=\"https:\/\/urldefense.com\/v3\/__https:\/\/arxiv.org\/abs\/2202.08480__;!!IKRxdwAv5BmarQ!fff3tH8vJIUg7zrwGFUvLKN8R9W5XSeIGSUsT3wDn67f-bbz6G_HegGBqV_UKhs3IyxKL9OckS71ZA$\">Eliciting Structural and Semantic Global Knowledge in Unsupervised Graph Contrastive Learning<\/a>&#8220;, 37th AAAI Conference on Artificial Intelligence (<a href=\"https:\/\/www.wsdm-conference.org\/2023\/\">AAAI<\/a>). Feb. 7 &#8211; 14, 2023. D.C.<\/li>\n<\/ul>\n\n\n\n<p><strong>2022<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><a href=\"https:\/\/ujeong1.github.io\/\">Ujun Jeong<\/a>, Kaize Ding, Lu Cheng, Ruocheng Guo, Kai Shu, and Huan Liu. &#8220;Nothing Stands Alone: Leveraging News Relations through a Hypergraph for Fake News Detection&#8221;, IEEE International Conference on Big Data (<a href=\"https:\/\/bigdataieee.org\/BigData2022\/\">BigData<\/a>), Dec. 17 &#8211; 20, 2022, Osaka, Japan.<\/li>\n\n\n\n<li><a href=\"https:\/\/dblp.org\/pid\/200\/2411.html\">Raha Moraffah<\/a>, Paras Sheth, and Huan Liu. &#8220;Exploring the Target Distribution for Surrogate-Based Black-Box Attacks&#8221;, Short Paper, IEEE International Conference on Big Data (<a href=\"https:\/\/bigdataieee.org\/BigData2022\/\">BigData<\/a>), Dec. 17 &#8211; 20, 2022, Osaka, Japan.<\/li>\n\n\n\n<li><a href=\"https:\/\/scholar.google.com\/citations?hl=en&amp;user=yMV7JtIAAAAJ\">Zhen Tan<\/a>*, Song Wang*,&nbsp;Kaize Ding*, Jundong Li and Huan Liu. &#8220;Transductive Linear Probing: A Novel Framework for Few-shot Node Classification&#8221;, 1st Learning on Graphs Conference (<a href=\"https:\/\/logconference.org\/\">LoG<\/a>), virtual, Dec. 9-12, 2022.<\/li>\n\n\n\n<li><a href=\"https:\/\/dblp.org\/pid\/200\/2411.html\">Raha Moraffah<\/a>&nbsp;and Huan Liu. &#8220;Query-Efficient Target-Agnostic Black-Box Attack&#8221;, IEEE 22nd International Conference on Data Mining (<a href=\"https:\/\/icdm22.cse.usf.edu\/\">ICDM22<\/a>), Nov. 28 &#8211; Dec. 1, 2022, Orlando, FL.<\/li>\n\n\n\n<li>Zhe Xu,&nbsp;<a href=\"https:\/\/www.public.asu.edu\/~kding9\/\">Kaize Ding<\/a>, Yu-Xiong Wang, Huan Liu, and Hanghang Tong. &#8220;Generalized Few-Shot Node Classification&#8221;, IEEE 22nd International Conference on Data Mining (<a href=\"https:\/\/icdm22.cse.usf.edu\/\">ICDM22<\/a>), Nov. 28 &#8211; Dec. 1, 2022, Orlando, FL.<\/li>\n\n\n\n<li><a href=\"https:\/\/scholar.google.com\/citations?user=9rpkTSkAAAAJ&amp;hl=en\">Lu Cheng<\/a>, Nayoung Kim, and Huan Liu. &#8220;Debiasing Word Embeddings with Nonlinear Geometry&#8221;, In Proceedings of the 29th International Conference on Computational Linguistics (<a href=\"https:\/\/coling2022.org\/\">COLING2022<\/a>), October 12-17, 2022.&nbsp; Gyeongju, Republic of Korea.<\/li>\n\n\n\n<li><a href=\"https:\/\/scholar.google.com\/citations?user=Pu3B4kIAAAAJ&amp;hl=en\">Paras Sheth<\/a>, Ruocheng Guo, Kaize Ding, Lu Cheng, K. Selcuk Candan, and Huan Liu. &#8220;Causal Disentanglement with Network Information for Debiased Recommendations&#8221;, Short Paper, the 15th International Conference on Similarity Search and Applications (<a href=\"https:\/\/www.sisap.org\/2022\/conferenceprogram.html\">SISAP<\/a>), Oct 5-7, 2022. Bologna, Italy.<\/li>\n\n\n\n<li><a href=\"https:\/\/scholar.google.com\/citations?hl=en&amp;user=yMV7JtIAAAAJ\">Zhen Tan<\/a>, Kaize Ding, Ruocheng Guo, and Huan Liu. &#8220;Supervised Graph Contrastive Learning for Few-shot Node Classification&#8221;, In&nbsp;<a href=\"https:\/\/urldefense.com\/v3\/__https:\/\/smc-link.s4hana.ondemand.com\/eu\/data-buffer\/sap\/public\/cuan\/link\/100\/04D67C339A2578640CE0DA5815B308DA0EBBA452?_V_=2&amp;_K11_=FF1D63DD687278211122FCD8DE8C67DCB513AE62&amp;_L54AD1F204_=c2NlbmFyaW89TUxDUEcmdGVuYW50PW15MzA0NDI0LnM0aGFuYS5vbmRlbWFuZC5jb20mdGFyZ2V0PWh0dHBzOi8vdHJlYnVjaGV0LnB1YmxpYy5zcHJpbmdlcm5hdHVyZS5hcHAvZ2V0X2NvbnRlbnQvMWJhYjU4ZWUtZjEyMy00YzhjLTk2MTgtNmM3NzFmZTllNTIwP3NhcC1vdXRib3VuZC1pZD0wNEQ2N0MzMzlBMjU3ODY0MENFMERBNTgxNUIzMDhEQTBFQkJBNDUy&amp;_K13_=340&amp;_K14_=17503dbb7ee6bf8963924f36708e13a62f4dd0ca1a79633fafb8fcadfae53ea0__;!!IKRxdwAv5BmarQ!bInERcSaiVbZ2Rs5jGMooZP30iCwF-sHwA2QJKaIi0BNRdTqD7si5URdv7lTycb4yd101tguUN8eW3z044pwOA$\">Proceedings of the European Conference on Machine Learning<\/a>&nbsp;and Principles and Practice of Knowledge Discovery in Database (<a href=\"https:\/\/2022.ecmlpkdd.org\/\">ECML-PKDD2022<\/a>), Sept. 19-23, 2022. Grenoble, France.<\/li>\n\n\n\n<li><a href=\"https:\/\/scholar.google.com\/citations?user=p6WZUWwAAAAJ&amp;hl=en\">Mansooreh Karami<\/a>, Ahmadreza David Mosallanezhad, Michelle Mancenido, and Huan Liu. &#8220;`Let&#8217;s Eat Grandma&#8221;: Does Punctuation Matter in Sentence Representation?&#8217;,&nbsp; In Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Database (<a href=\"https:\/\/2022.ecmlpkdd.org\/\">ECML-PKDD2022<\/a>), Sept. 19-23, 2022. Grenoble, France.<\/li>\n\n\n\n<li><a href=\"https:\/\/scholar.google.com\/citations?user=p6WZUWwAAAAJ&amp;hl=en\">Mansooreh Karami<\/a>, Ahmadreza Mosallanezhad, Paras Sheth and Huan Liu. &#8220;Estimating Topic Exposure for Under-Represented Users on Social Media&#8221;, In Proceedings of 15th International Conference on Social Computing, Behavioral-Cultural Modeling &amp; Prediction and Behavior Representation in Modeling and Simulation (<a href=\"http:\/\/sbp-brims.org\/2022\/\">SBP-BRiMS2022<\/a>). September 20-23, 2022. Pittsburgh, PA.<\/li>\n\n\n\n<li><a href=\"https:\/\/dblp.org\/pid\/200\/2411.html\">Raha Moraffah<\/a>, Suraj Jyothi Unni, Adrienne Raglin and Huan Liu &#8220;Causal Data Fusion for Multi-modal Disaster Classification in Social Media&#8221;, In Proceedings of 15th International Conference on Social Computing, Behavioral-Cultural Modeling &amp; Prediction and Behavior Representation in Modeling and Simulation (<a href=\"http:\/\/sbp-brims.org\/2022\/\">SBP-BRiMS2022<\/a>). September 20-23, 2022. Pittsburgh, PA.<\/li>\n\n\n\n<li><a href=\"https:\/\/scholar.google.com\/citations?user=Wu6doL0AAAAJ&amp;hl=en\">Bohan Jiang<\/a>, Paras Sheth, Baoxin Li and Huan Liu. &#8220;CoVaxNet: An Online-Offline Data Repository for COVID-19 Vaccine Hesitancy Research&#8221;, In Proceedings of 15th International Conference on Social Computing, Behavioral-Cultural Modeling &amp; Prediction and Behavior Representation in Modeling and Simulation (<a href=\"http:\/\/sbp-brims.org\/2022\/\">SBP-BRiMS2022<\/a>). September 20-23, 2022. Pittsburgh, PA.<\/li>\n\n\n\n<li>Nayoung Kim, Ahmadreza Mosallanezhad, Lu Cheng, Baoxin Li and Huan Liu. &#8220;Bridge the Gap: the Commonality and Differences Between Online and Offline COVID-19 Data&#8221;, In Proceedings of 15th International Conference on Social Computing, Behavioral-Cultural Modeling &amp; Prediction and Behavior Representation in Modeling and Simulation (<a href=\"http:\/\/sbp-brims.org\/2022\/\">SBP-BRiMS2022<\/a>). September 20-23, 2022. Pittsburgh, PA.<\/li>\n\n\n\n<li>Anique Tahir, Lu Cheng, Paras Sheth and Huan Liu. &#8220;Improving Vaccine Stance Detection by Combining Online and Offline Data&#8221;, In Proceedings of 15th International Conference on Social Computing, Behavioral-Cultural Modeling &amp; Prediction and Behavior Representation in Modeling and Simulation (<a href=\"http:\/\/sbp-brims.org\/2022\/\">SBP-BRiMS2022<\/a>). September 20-23, 2022. Pittsburgh, PA.<\/li>\n\n\n\n<li><a href=\"https:\/\/ujeong1.github.io\/\">Ujun Jeong<\/a>, Zeyad Alghamd, Kaize Ding, Lu Cheng, Baoxin Li and Huan Liu. &#8220;Classifying COVID-19 related Meta Ads using Discourse Representation through Hypergraph&#8221;,&nbsp; In Proceedings of 15th International Conference on Social Computing, Behavioral-Cultural Modeling &amp; Prediction and Behavior Representation in Modeling and Simulation (<a href=\"http:\/\/sbp-brims.org\/2022\/\">SBP-BRiMS2022<\/a>). September 20-23, 2022. Pittsburgh, PA.<\/li>\n\n\n\n<li>Amrita Bhattacharjee*,&nbsp;<a href=\"https:\/\/www.public.asu.edu\/~mkarami\/\">Mansooreh Karami<\/a>*, and Huan Liu. &#8220;Text Transformations in Contrastive Self-Supervised Learning: A Review&#8221;, In Proceedings of the 2022 International Joint Conferences on Artificial Intelligence (<a href=\"https:\/\/ijcai-22.org\/\">IJCAI-ECAI2022<\/a>) Survey Track, July 23 &#8211; 29, 2022. Vienna, Austria.<\/li>\n\n\n\n<li>Chuxu Zhang,&nbsp;<a href=\"https:\/\/www.public.asu.edu\/~kding9\/\">Kaize Ding<\/a>, Jundong Li, Xiangliang Zhang, Yanfang Ye, Nitesh V. Chawla, Huan Liu. &#8220;Few-Shot Learning on Graphs: A Survey&#8221;, In Proceedings of the 2022 International Joint Conferences on Artificial Intelligence (<a href=\"https:\/\/ijcai-22.org\/\">IJCAI-ECAI2022<\/a>) Survey Track, July 23 &#8211; 29, 2022. Vienna, Austria.<\/li>\n\n\n\n<li><a href=\"https:\/\/scholar.google.com\/citations?user=9rpkTSkAAAAJ&amp;hl=en\">Lu Cheng<\/a>,&nbsp;<a href=\"https:\/\/scholar.google.com\/citations?user=VhIcQFcAAAAJ&amp;hl=en\">Ahmadreza (David) Mosallanezhad<\/a>, Yasin Silva, Deborah Hall and Huan Liu. &#8220;Bias Mitigation for Toxicity Detection via Sequential Decisions&#8221;, The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (<a href=\"https:\/\/sigir.org\/sigir2022\/\">SIGIR 2022<\/a>), July 11-15, 2022. Madrid, Spain.<\/li>\n\n\n\n<li><a href=\"https:\/\/scholar.google.com\/citations?user=9rpkTSkAAAAJ&amp;hl=en\">Lu Cheng<\/a>, Ruocheng Guo, Kasim Selcuk Candan, and Huan Liu. &#8220;Effects of Multi-Aspect Online Reviews with Unobserved Confounders: Estimation and Implication&#8221;, 16th AAAI International Conference on Web and Social Media (<a href=\"https:\/\/www.icwsm.org\/2022\/index.html\/\">ICWSDM 2022<\/a>), June 6-9, 2022. Atlanta, Georgia and Online.<\/li>\n\n\n\n<li><a href=\"https:\/\/scholar.google.com\/citations?user=9U_Ge4MAAAAJ&amp;hl=en\">Xinyi&nbsp;Zhou<\/a>, Kai Shu, Vir V. Phoha, Huan Liu and Reza Zafarani. &#8220;&#8220;This is Fake! Shared it by Mistake&#8221;: Assessing the Intent of Fake News Spreaders&#8221;, The&nbsp;<a href=\"https:\/\/www2022.thewebconf.org\/\">ACM&nbsp;Web&nbsp;Conference&nbsp;202<\/a>2, the Web4Good Special Track, April 25-29, 2022, Lyon, France and online<\/li>\n\n\n\n<li><a href=\"https:\/\/scholar.google.com\/citations?user=VhIcQFcAAAAJ&amp;hl=en\">Ahmadreza (David) Mosallanezhad<\/a>, Mansooreh Karami, Kai Shu, Michelle Mancenido and Huan Liu. &#8220;Domain Adaptive Fake News Detection via Reinforcement Learning&#8221;, The&nbsp;<a href=\"https:\/\/www2022.thewebconf.org\/\">ACM&nbsp;Web&nbsp;Conference&nbsp;202<\/a>2, the Web4Good Special Track, April 25-29, 2022, Lyon, France and online<\/li>\n\n\n\n<li><a href=\"https:\/\/scholar.google.com\/citations?hl=en&amp;user=yMV7JtIAAAAJ\">Zhen Tan<\/a>,&nbsp;Kaize Ding, Ruocheng Guo and Huan Liu. &#8220;Graph Few-shot Class-incremental Learning&#8221;, 15th ACM International Conference on Web Search and Data Mining (<a href=\"https:\/\/www.wsdm-conference.org\/2022\/\">WSDM 2022<\/a>), February 27 &#8211; March 3, 2022. Tempe, Arizona<\/li>\n\n\n\n<li><a href=\"https:\/\/scholar.google.com\/citations?user=9rpkTSkAAAAJ&amp;hl=en\">Lu Cheng<\/a>, Ruocheng Guo, and Huan Liu. &#8220;Causal Mediation Analysis with Hidden Confounders&#8221;, 15th ACM International Conference on Web Search and Data Mining (<a href=\"https:\/\/www.wsdm-conference.org\/2022\/\">WSDM 2022<\/a>), February 27 &#8211; March 3, 2022. Tempe, Arizona<\/li>\n\n\n\n<li><a href=\"https:\/\/scholar.google.com\/citations?user=9rpkTSkAAAAJ&amp;hl=en\">Lu Cheng<\/a>, Ruocheng Guo, and Huan Liu. &#8220;Estimating Causal Effects of Multi-Aspect Online Reviews with Multi-Modal Proxies&#8221;, 15th ACM International Conference on Web Search and Data Mining (WSDM 2022), Feb 27 &#8211; March 3, 2022. Tempe, Arizona<\/li>\n\n\n\n<li><a href=\"https:\/\/www.public.asu.edu\/~kding9\/\">Kaize Ding<\/a>,&nbsp;Jianling Wang, James Caverlee, and Huan Liu. &#8220;Meta Propagation Networks for Few-shot Semi-supervised Learning on Graphs&#8221;, 36th AAAI Conference on Artificial Intelligence (AAAI-22), February 22 &#8211; March 1, 2022. Vancouver, BC, Canada<\/li>\n<\/ul>\n\n\n\n<p><strong>2021<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><a href=\"https:\/\/scholar.google.com\/citations?user=VhIcQFcAAAAJ&amp;hl=en\">Ahmadreza (David) Mosallanezhad<\/a>, Kai Shu, and Huan Liu. &#8220;Generating Topic-Preserving Synthetic News&#8221;, IEEE International Conference on&nbsp;<a href=\"https:\/\/bigdataieee.org\/BigData2021\/\">Big Data<\/a>, online, Dec 15-18, 2021.<\/li>\n\n\n\n<li><a href=\"https:\/\/www.public.asu.edu\/~kding9\/\">Kaize Ding<\/a>, Dingcheng Li, Alexander Hanbo Li, Xing Fan, Chenlei Guo, Yang Liu, and Huan Liu. &#8220;Learning to Selectively Learn for Weakly-supervised Paraphrase Generation&#8221;, The Conference on Empirical Methods in Natural Language Processing (<a href=\"https:\/\/2021.emnlp.org\/\">EMNLP<\/a>), November 7-11, 2021. Punta Cana, Dominican Republic<\/li>\n\n\n\n<li><a href=\"https:\/\/www.public.asu.edu\/~kding9\/\">Kaize Ding<\/a>, Xuan Shan, and Huan Liu. &#8220;Towards Anomaly-resistant Graph Neural Networks via Reinforcement Learning&#8221;, Short, In Proceedings of the 30th ACM International Conference on Information and Knowledge Management (<a href=\"https:\/\/www.cikm2021.org\/\">CIKM2021<\/a>), November 1-5, 2021. Online, Queensland, Australia [335]<\/li>\n\n\n\n<li>Paras Sheth, Ujun Jeong, Ruocheng Guo, Huan Liu, and K. Selcuk Candan.&#8220;CauseBox: A Causal Inference Toolbox for Benchmarking Treatment Effect Estimators with Machine Learning Methods&#8221; Demo, In Proceedings of the 30th ACM International Conference on Information and Knowledge Management (CIKM2021), November 1-5, 2021. Online, Queensland, Australia<\/li>\n\n\n\n<li><a href=\"https:\/\/www.public.asu.edu\/~mkarami\/\">Mansooreh Karami<\/a>, Tahora H. Nazer, and Huan Liu (2021). &#8220;Profiling Fake News Spreaders on Social Media through Psychological and Motivational Factors&#8221;, In Proceedings of the 32nd ACM Conference on Hypertext and Social Media (<a href=\"https:\/\/ht.acm.org\/ht2021\/\">HT&#8217;21<\/a>), August 30 &#8211; September 2, 2021, Dublin, Ireland.<\/li>\n\n\n\n<li><a href=\"https:\/\/scholar.google.com\/citations?user=9rpkTSkAAAAJ&amp;hl=en\">Lu Cheng<\/a>, Ahmadreza Mosallanezhad*, Paras Sheth*, and Huan Liu. &#8220;Causal Learning for Socially Responsible AI&#8221;, In Proceedings of the 2021 International Joint Conferences on Artificial Intelligence (<a href=\"https:\/\/ijcai-21.org\/\">IJCAI2021<\/a>), Survey Track, August 21-26, Montreal, Canada.<\/li>\n\n\n\n<li>Xueying Zhan, Huan Liu, Qing Li, Antoni B. Chan. &#8220;A Comparative Survey: Benchmarking for Pool-based Active Learning&#8221;, In Proceedings of the 2021 International Joint Conferences on Artificial Intelligence (<a href=\"https:\/\/ijcai-21.org\/\">IJCAI2021<\/a>), Survey Track, August 21-26, Montreal, Canada.<\/li>\n\n\n\n<li><a href=\"https:\/\/scholar.google.com\/citations?user=9rpkTSkAAAAJ&amp;hl=en\">Lu Cheng<\/a>, Ruocheng Guo, Kai Shu, and Huan Liu. &#8220;Causal Understanding of Fake News Dissemination on Social Media&#8221;,&nbsp; In Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (<a href=\"https:\/\/www.kdd.org\/kdd2021\/\">KDD2021<\/a>). Online Virtual Event. August 14-18, 2021. [330]<\/li>\n\n\n\n<li>&nbsp;<a href=\"https:\/\/scholar.google.com\/citations?user=9rpkTSkAAAAJ&amp;hl=en\">Lu Cheng<\/a>*, Ahmadreza Mosallanezhad*, Yasin Silva, Deborah Hall, and Huan Liu. &#8220;Mitigating Bias in Session-based Cyberbullying Detection: A Non-Compromising Approach&#8221;,&nbsp; In Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics (<a href=\"https:\/\/2021.aclweb.org\/\">ACL-IJCNLP2021<\/a>), Bangkok, Thailand. August 1-6, 2021.<\/li>\n\n\n\n<li>Walaa Alnasser, Ghazaleh Beigi and Huan Liu. &#8220;Privacy Preserving Text Representation Learning Using BERT&#8221;, International Conference on Social Computing, Behavioral-Cultural Modeling &amp; Prediction and Behavior Representation in Modeling and Simulation (<a href=\"http:\/\/sbp-brims.org\/2021\/\">SBP-BRiMS 2021<\/a>), July 6 &#8211; 9, 2021. Online<\/li>\n\n\n\n<li>Ujun Jeong, Kaize Ding, and Huan Liu. &#8220;FBAdTracker: An Interactive Data Collection and Analysis Tool for Facebook Advertisements&#8221;, International Conference on Social Computing, Behavioral-Cultural Modeling &amp; Prediction and Behavior Representation in Modeling and Simulation (<a href=\"http:\/\/sbp-brims.org\/2021\/\">SBP-BRiMS 2021<\/a>), Demo Track, July 6 &#8211; 9, 2021. Online<\/li>\n\n\n\n<li>Tharindu Kumarage, Amrita Bhattacharjee, Kai Shu, and Huan Liu. &#8220;Data Generation for Neural Disinformation Detection &#8220;, International Conference on Social Computing, Behavioral-Cultural Modeling &amp; Prediction and Behavior Representation in Modeling and Simulation (<a href=\"http:\/\/sbp-brims.org\/2021\/\">SBP-BRiMS 2021<\/a>), Working Paper Track,&nbsp; July 6 &#8211; 9, 2021. Online<\/li>\n\n\n\n<li>Bohan Jiang,Mansooreh Karami, Lu Cheng, Tyler Black and Huan Liu. &#8220;Mechanisms and Attributes of Echo Chambers in Social Media&#8221;, International Conference on Social Computing, Behavioral-Cultural Modeling &amp; Prediction and Behavior Representation in Modeling and Simulation (<a href=\"http:\/\/sbp-brims.org\/2021\/\">SBP-BRiMS 2021<\/a>), Working Paper Track,&nbsp; July 6 &#8211; 9, 2021. Online [325]<\/li>\n\n\n\n<li><a href=\"http:\/\/www.public.asu.edu\/~kding9\">Kaize Ding<\/a>, Qinghai Zhou, Hanghang Tong and Huan Liu. &#8220;Few-shot Network Anomaly Detection with Cross-network Meta-learning&#8221;. In Proceedings of the&nbsp;<a href=\"https:\/\/www2021.thewebconf.org\/\">International Web Conference<\/a>, Ljubljana, Slovenia. April 19-23, 2021.<\/li>\n\n\n\n<li>Suyu Ge,&nbsp;<a href=\"http:\/\/www.public.asu.edu\/~lcheng35\/\">Lu Cheng<\/a>, and Huan Liu. &#8220;Improving Cyberbullying Detection with User Interaction&#8221;. In Proceedings of the 2021 International World Wide Web Conference, Ljubljana, Slovenia. April 19-23, 2021.<\/li>\n\n\n\n<li><a href=\"http:\/\/www.cs.iit.edu\/~kshu\/\">Kai Shu<\/a>, Yichuan Li, Kaize Ding and Huan Liu. &#8220;Fact-enhanced Synthetic News Generation&#8221;. In Proceedings of the AAAI Conference on Artificial Intelligence (<a href=\"https:\/\/aaai.org\/Conferences\/AAAI-21\/\">AAAI<\/a>), 2021.<\/li>\n\n\n\n<li><a href=\"http:\/\/www.public.asu.edu\/~lcheng35\/\">Lu Cheng<\/a>, Ruocheng Guo, and Huan Liu. &#8220;Long-Term Effect Estimation with Surrogate Representation\u201d. The 14th ACM International Conference on Web Search and Data Mining (<strong><a href=\"https:\/\/www.wsdm-conference.org\/2021\/\">WSDM2021<\/a><\/strong>), March 8-12, 2021. Jerusalem, Israel.<\/li>\n<\/ul>\n\n\n\n<p><strong>2020<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Lo Pang-Yun Ting, Shan-Yun Teng, Suhang Wang, Kun-Ta Chuang, and Huan Liu.&#8220;Learning Latent Perception Graphs for Personalized Unknowns Recommendation&#8221;.&nbsp; The Second IEEE International Conference on Cognitive Machine Intelligence (<a href=\"http:\/\/www.sis.pitt.edu\/lersais\/conference\/cogmi\/2020\/\">CogMI<\/a>), Dec 1-3, 2020. Online [320]<\/li>\n\n\n\n<li>Adrienne Raglin, Raha Moraffah and Huan Liu. &#8220;Causality and Uncertainty of Information for Content Understanding&#8221;. The Second IEEE International Conference on Cognitive Machine Intelligence (<a href=\"http:\/\/www.sis.pitt.edu\/lersais\/conference\/cogmi\/2020\/\">CogMI<\/a>), Dec 1-3, 2020. Online<\/li>\n\n\n\n<li><a href=\"http:\/\/www.public.asu.edu\/~kding9\">Kaize Ding<\/a>, Jianling Wang, Jundong Li, Dingcheng Li and Huan Liu. \u201cBe More with Less:Hypergraph Attention Networks for Inductive Text Classification\u201d. The 2020 Conference on Empirical Methods in Natural Language Processing (<strong>EMNLP<\/strong>), November 16 20, 2020. Online<\/li>\n\n\n\n<li><a href=\"http:\/\/www.public.asu.edu\/~lcheng35\/\">Lu Cheng<\/a>, Kai Shu, Siqi Wu, Yasin N. Silva, Deborah Hall, and Huan Liu. &#8220;Unsupervised Cyberbullying Detection via Time-Informed Deep Clustering&#8221;. In Proceedings of the 29th ACM International Conference on Information and Knowledge Management (<strong>CIKM&#8217;20<\/strong>), Oct. 19-23, 2020, Online.<\/li>\n\n\n\n<li><a href=\"http:\/\/www.public.asu.edu\/~kding9\">Kaize Ding<\/a>, &nbsp;Jianling Wang, Jundong Li, Kai Shu, Chenghao Liu, and Huan Liu. &#8220;Graph Prototypical Networks for Few-shot Learning on Attributed Networks&#8221;. In Proceedings of the 29th ACM International Conference on Information and Knowledge Management (<strong>CIKM&#8217;20<\/strong>), Oct. 19-23, 2020, Online.<\/li>\n\n\n\n<li><a href=\"http:\/\/www.cs.iit.edu\/~kshu\/\">Kai Shu<\/a>, Guoqing Zheng, Yichuan Li, Subhabrata Mukherjee, Ahmed Hassan Awadallah, Scott Ruston, and Huan Liu. &#8220;Early Detection of Fake News with Multi-sourceWeak Social Supervision&#8221;, Proceedings of The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (<a href=\"https:\/\/ecmlpkdd2020.net\/\">ECML-PKDD 2020<\/a>). September 14 &#8211; 18, 2020, Ghent, Belgium.&nbsp;<a href=\"http:\/\/www.public.asu.edu\/~skai2\/files\/ecml_pkdd_mwss.pdf\">pdf<\/a>,&nbsp;<a href=\"https:\/\/venturebeat.com\/2020\/04\/07\/microsoft-ai-fake-news-better-than-state-of-the-art-baselines\/\">news report<\/a>&nbsp;[315]<\/li>\n\n\n\n<li>Qianru Wang, Bin Guo, Yi Ouyang, Kai Shu, Zhiwen Yu and Huan Liu. &#8220;Spatial Community-Informed Evolving Graphs for Demand Prediction&#8221;, Proceedings of The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (<a href=\"https:\/\/ecmlpkdd2020.net\/\">ECML-PKDD 2020<\/a>). September 14 &#8211; 18, 2020, Ghent, Belgium. pdf<\/li>\n\n\n\n<li><a href=\"http:\/\/www.public.asu.edu\/~rguo12\/\">Ruocheng Guo<\/a>, Xiaoting Zhao, Adam Henderson, Liangjie Hong and Huan Liu.&#8220;Debiasing Grid-based Product Search for E-commerce&#8221;, In Proceedings of 25th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (<a href=\"https:\/\/www.kdd.org\/kdd2020\/\">SIGKDD 2020<\/a>&nbsp;ADS Track). August 23-27, 2020. San Diego, CA.&nbsp;<a href=\"http:\/\/www.public.asu.edu\/~rguo12\/kdd20.pdf\">pdf<\/a><\/li>\n\n\n\n<li>Jianling Wang,&nbsp;<a href=\"http:\/\/www.public.asu.edu\/~kding9\/#\">Kaize Ding<\/a>, Liangjie Hong, Huan Liu, and James Caverlee. &#8220;Next-Item Recommendation with Sequential Hypergraphs&#8221;, Proceedings of 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval (<strong>SIGIR2020<\/strong>). July 25-30, 2020, Xi&#8217;an, China. pdf<\/li>\n\n\n\n<li><a href=\"http:\/\/www.public.asu.edu\/~kding9\/#\">Kaize Ding<\/a>, Jundong Li, Nitin Agarwal, and Huan Liu. &#8220;Inductive Anomaly Detection on Attributed Networks&#8221;, IJCAI-PRICAI2020. new date January 2021, Japan.&nbsp;<a href=\"http:\/\/www.public.asu.edu\/~kding9\/pdf\/IJCAI2020_Aegis.pdf\">pdf<\/a><\/li>\n\n\n\n<li><a href=\"http:\/\/www.public.asu.edu\/~rguo12\/\">Ruocheng Guo<\/a>, Jundong Li, Yichuan Li, K. Sel\u00e7uk Candan, Adrienne Raglin,&nbsp; and Huan Liu. &#8220;IGNITE: A Minimax Game Toward Learning Individual Treatment Effects from Networked Observational Data&#8221;, FinTech Track, IJCAI-PRICAI2020.&nbsp;<a href=\"http:\/\/www.public.asu.edu\/~rguo12\/IJCAI20_IGNITE_arxiv.pdf\">pdf<\/a>&nbsp;[310]<\/li>\n\n\n\n<li><a href=\"http:\/\/www.cs.iit.edu\/~kshu\/\">Kai Shu<\/a>, Liangda Li, Suhang Wang, Yunhong Zhou, and Huan Liu. &#8220;Joint Local and Global Sequence Modeling in Temporal Correlation Networks for Trending Topic Detection&#8221;, Proceedings of 12th ACM Web Science Conference (<strong>WebSci2020<\/strong>).&nbsp;<a href=\"http:\/\/www.public.asu.edu\/~skai2\/files\/websci_20.pdf\">pdf<\/a><\/li>\n\n\n\n<li><a href=\"http:\/\/www.cs.iit.edu\/~kshu\/\">Kai Shu<\/a>, Deepak&nbsp;Mahudeswaran, Suhang Wang, and Huan Liu. &#8220;Hierarchical Propagation Networks for Fake News Detection: Investigation and Exploitation&#8221;, AAAI International Conference on Web and Social Media (<a href=\"https:\/\/www.icwsm.org\/2020\/index.html\">ICWSM<\/a>), June 2020. Atlanta, Georgia.&nbsp;<a href=\"http:\/\/www.public.asu.edu\/~skai2\/files\/icwsm_20.pdf\">pdf<\/a><\/li>\n\n\n\n<li><a href=\"http:\/\/www.public.asu.edu\/~lcheng35\/\">Lu Cheng<\/a>, Ruocheng Guo, K. Selcuk Candan, and Huan Liu. &#8220;Representation Learning for Imbalanced Cross-Domain Classification&#8221;, SAM International Conference on Data Mining (<a href=\"https:\/\/www.siam.org\/conferences\/cm\/conference\/sdm20\">SDM20<\/a>), May 7-9, 2020. Cincinnati, Ohio.&nbsp;<a href=\"https:\/\/www.researchgate.net\/publication\/339052207_Representation_Learning_for_Imbalanced_Cross-Domain_Classification\">pdf<\/a><\/li>\n\n\n\n<li><a href=\"http:\/\/www.public.asu.edu\/~rguo12\/\">Ruocheng Guo<\/a>, Jundong Li, and Huan Liu. &#8220;Counterfactual Evaluation of Treatment Assignment Functions with Networked Observational Data&#8221;, SAM International Conference on Data Mining (<a href=\"https:\/\/www.siam.org\/conferences\/cm\/conference\/sdm20\">SDM20<\/a>), May 7-9, 2020. Cincinnati, Ohio.&nbsp;<a href=\"https:\/\/arxiv.org\/pdf\/1912.10536.pdf\">pdf<\/a><\/li>\n\n\n\n<li>Lin Tian, Xiuzhen Zhang, Yan Wang, and Huan Liu. &#8220;<a href=\"https:\/\/link.springer.com\/chapter\/10.1007\/978-3-030-45439-5_38\">Early Detection of Rumours on Twitter via Stance Transfer Learning<\/a>&#8220;, European Conference on Information Retrieval, April 2020, pp 575 &#8211; 588. [305]<\/li>\n\n\n\n<li><a href=\"http:\/\/www.public.asu.edu\/~lcheng35\/\">Lu Cheng<\/a>, Jundong Li, K. Selcuk Candan, and Huan Liu. &#8220;Tracking Disaster Footprints with Social Stream Data&#8221;, In Proceedings of 34th AAAI Conference on Artificial Intelligence (<a href=\"https:\/\/aaai.org\/Conferences\/AAAI-20\/\">AAAI-20<\/a>), Feb. 07-12, 2020, New York, New York.&nbsp;<a href=\"http:\/\/www.public.asu.edu\/~lcheng35\/AAAI20_TDF.pdf\">pdf<\/a><\/li>\n\n\n\n<li><a href=\"http:\/\/www.public.asu.edu\/~gbeigi\/\">Ghazaleh Beigi<\/a>, Ahmadreza Mosallanezhad, Ruocheng Guo, Hamidreza Alvari, Alexander Nou and Huan Liu. &#8220;Privacy-Aware Recommendation with Private-Attribute Protection using Adversarial Learning&#8221;, The 13th ACM International Conference on Web Search and Data Mining (<a href=\"http:\/\/www.wsdm-conference.org\/2020\/\">WSDM<\/a>),&nbsp; February 3-7, 2020. Houston, Texas.&nbsp;<a href=\"http:\/\/www.public.asu.edu\/~gbeigi\/files\/BeigiPrivRec.pdf\">pdf<\/a><\/li>\n\n\n\n<li><a href=\"http:\/\/www.public.asu.edu\/~rguo12\/\">Ruocheng Guo<\/a>, Jundong Li and Huan Liu. &#8220;Learning Individual Causal Effects with Networked Observational Data&#8221;, The 13th ACM International Conference on Web Search and Data Mining (<a href=\"http:\/\/www.wsdm-conference.org\/2020\/\">WSDM<\/a>),&nbsp; February 3-7, 2020. Houston, Texas.&nbsp;<a href=\"https:\/\/arxiv.org\/pdf\/1906.03485.pdf\">pdf<\/a><\/li>\n<\/ul>\n\n\n\n<p><strong>2019<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Adrienne J Raglin, Dijiang Huang, Huan Liu, James McCabe. &#8220;Smart CCR IoT: Internet of Things Testbed&#8221;, 2019 IEEE 5th International Conference on Collaboration and Internet Computing (<a href=\"http:\/\/www.sis.pitt.edu\/lersais\/cic\/2019\/\">CIC<\/a>), pp 232-235, December 12, 2019, Los Angeles, CA.<\/li>\n\n\n\n<li><a href=\"http:\/\/www.public.asu.edu\/~lcheng35\/\">Lu Cheng<\/a>, Ruocheng Guo, Raha Moraffah, K.S. Candan, Adrienne Raglin, and Huan Liu. &#8220;A Practical Data Repository for Causal Learning with Big Data&#8221;, BenchCouncil International Symposium on Benchmarking, Measuring and Optimizing (<a href=\"http:\/\/www.benchcouncil.org\/bench19\/\">BENCH19<\/a>), November 14-16, 2019. Denver, Colorado.<a href=\"https:\/\/www.researchgate.net\/profile\/Lu_Cheng39\/publication\/337745553_A_Practical_Data_Repository_for_Causal_Learning_with_Big_Data\/links\/5de82985299bf10bc34047f6\/A-Practical-Data-Repository-for-Causal-Learning-with-Big-Data.pdf\">&nbsp;pdf<\/a><\/li>\n\n\n\n<li>Yichuan Li, Ruocheng Guo, Weiying Wang and Huan Liu.&#8220;Causal Learning in Question Quality Improvement&#8221;, BenchCouncil International Symposium on Benchmarking, Measuring and Optimizing (<a href=\"http:\/\/www.benchcouncil.org\/bench19\/\">BENCH19<\/a>), November 14-16, 2019. Denver, Colorado. pdf [300]<\/li>\n\n\n\n<li><a href=\"https:\/\/scholar.google.com\/citations?user=VhIcQFcAAAAJ&amp;hl=en\">David (Ahmadreza) Mosallanezhad<\/a>,&nbsp;<a href=\"http:\/\/www.public.asu.edu\/~gbeigi\/\">Ghazaleh Beigi<\/a>, and Huan Liu. &#8220;Deep Reinforcement Learning-based Text Anonymization against Private-Attribute Inference&#8221;, Conference on Emprirical Methods in National Language Processing (<a href=\"https:\/\/www.emnlp-ijcnlp2019.org\/\">EMNLP2019<\/a>), November 3-7, 2019. Hong Kong, China.&nbsp; pdf<\/li>\n\n\n\n<li><a href=\"https:\/\/suhangwang.ist.psu.edu\/\">Suhang Wang<\/a>, Charu Aggarwal, and Huan Liu. &#8220;Beyond word2vec: Distance-graph Tensor Factorization for Word and Document Embeddings&#8221;,&nbsp;&nbsp; The 28th ACM International Conference on Information and Knowledge Management (<a href=\"http:\/\/www.cikm2019.net\/\">CIKM2019<\/a>), November 3-7, 2019. Beijing, China. pdf<\/li>\n\n\n\n<li>&nbsp;Limeng Cui,&nbsp;<a href=\"http:\/\/www.public.asu.edu\/~skai2\/\">Kai Shu<\/a>,&nbsp;<a href=\"https:\/\/suhangwang.ist.psu.edu\/\">Suhang Wang<\/a>,&nbsp;Dongwon&nbsp;Lee and Huan Liu. &#8220;dEFEND: A System for Explainable Fake News Detection&#8221;, Demo, The 28th ACM International Conference on Information and Knowledge Management (<a href=\"http:\/\/www.cikm2019.net\/\">CIKM2019<\/a>), November 3-7, 2019. Beijing, China. pdf<\/li>\n\n\n\n<li>Pradyumna Prakhar Sinha, Rohan Mishra, Ramit Sawhney, Debanjan Mahata, Rajiv Ratn Shah, and Huan Liu. &#8220;#suicidal &#8211; A Multipronged Approach to Identify and Explore Suicidal Ideation in Twitter&#8221;, The 28th ACM International Conference on Information and Knowledge Management (<a href=\"http:\/\/www.cikm2019.net\/\">CIKM2019<\/a>), November 3-7, 2019. Beijing, China. pdf [295]<\/li>\n\n\n\n<li><a href=\"http:\/\/www.public.asu.edu\/~gbeigi\/\">Ghazaleh Beigi<\/a>,&nbsp;Kai Shu, Ruocheng Guo, Suhang Wang, and Huan Liu. &#8220;Privacy Preserving Text Representation Learning&#8221;, Poster, In the Proceedings of the 30th ACM Conference on Hypertext and Social Media (<a href=\"https:\/\/human.iisys.de\/ht2019\/\">HT 2019<\/a>), Sept 17-20, 2019. Hof, Germany.&nbsp;&nbsp;<a href=\"http:\/\/www.public.asu.edu\/~gbeigi\/files\/TextPrivacyHT19.pdf\">pdf<\/a><\/li>\n\n\n\n<li><a href=\"http:\/\/www.public.asu.edu\/~skai2\/\">Kai Shu<\/a>, Xinyi Zhou, Suhang Wang, Reza Zafarani, and Huan Liu.&nbsp;&#8220;The Role of User Profiles for Fake news Detection&#8221;,&nbsp; short paper, In Proceedings of the 2019 IEEE\/ACM International Conference on Advances in Social Networks Analysis and Mining (<a href=\"http:\/\/asonam.cpsc.ucalgary.ca\/2019\/\">ASONAM<\/a>), August 27 &#8211; 30, 2019. Vancouver, Canada.&nbsp;<a href=\"http:\/\/www.public.asu.edu\/~skai2\/files\/profile_asonam.pdf\">pdf<\/a><\/li>\n\n\n\n<li><a href=\"http:\/\/www.public.asu.edu\/~jundongl\/\">Jundong Li<\/a>, Liang Wu, Ruocheng Guo, Chenghao Liu, Huan Liu. &#8220;Multi-Level network Embedding with Boosted Low-Rank Matrix Approximation&#8221;, In Proceedings of the 2019 IEEE\/ACM International Conference on Advances in Social Networks Analysis and Mining (<a href=\"http:\/\/asonam.cpsc.ucalgary.ca\/2019\/\">ASONAM<\/a>), August 27 &#8211; 30, 2019. Vancouver, Canada. pdf &nbsp;<\/li>\n\n\n\n<li>Thai Le,&nbsp;<a href=\"http:\/\/www.public.asu.edu\/~skai2\/\">Kai Shu<\/a>, Maria D. Molina, Dongwon Lee, S. Shyam Sundar, and Huan Liu.&nbsp; &#8220;Using Synthetic Clickbaits to Improve Prediction and Distinguish between Bot-Generated and Human-Written Headlines&#8221;,&nbsp; In Proceedings of the 2019 IEEE\/ACM International Conference on Advances in Social Networks Analysis and Mining (<a href=\"http:\/\/asonam.cpsc.ucalgary.ca\/2019\/\">ASONAM<\/a>), August 27 &#8211; 30, 2019. Vancouver, Canada.&nbsp;&nbsp;<a href=\"https:\/\/www.newswise.com\/articles\/clickbait-secrets-exposed-humans-and-ai-team-up-to-improve-clickbait-detection\/sc-rssn\">news<\/a>,&nbsp;<a href=\"http:\/\/www.public.asu.edu\/~skai2\/files\/synthetic_asonam.pdf\">pdf<\/a>&nbsp;[290]<\/li>\n\n\n\n<li>Adrienne Raglin, Anshuman Venkateswaran, and Huan Liu. &#8220;Abductive Causal Reasoning for Internet of Things\u201d, 5th IEEE International Conference on Internet of People (<a href=\"http:\/\/www.smart-world.org\/2019\/iop\/\">IoP2019<\/a>) &#8211; Towards Collaborative Human and Machine Intelligence, August 19-23, 2019, Leicester, UK.<\/li>\n\n\n\n<li><a href=\"http:\/\/www.public.asu.edu\/~lcheng35\/\">Lu Cheng<\/a>, Jundong Li, Yasin N. Silva, Deborah Hall, and Huan Liu. &#8220;PI-Bully: Personalized Cyberbullying Detection with Peer Influence&#8221;, In Proceedings of the 2019 International Joint Conferences on Artifical Intelligence (<a href=\"https:\/\/ijcai19.org\/\">IJCAI2019<\/a>), August 10 -16, 2019. Macao, China.&nbsp;<a href=\"https:\/\/www.researchgate.net\/publication\/333381059_PI-Bully_Personalized_Cyberbullying_Detection_with_Peer_Influence\">pdf<\/a><\/li>\n\n\n\n<li>Kaize Ding, Jundong Li, Shivam Dhar, Shreyash Devan, and Huan Liu. &#8220;InterSpot: InteractiveSpammer Detection in Social Media&#8221;, Demo, In Proceedings of the 2019 International Joint Conferences on Artifical Intelligence (<a href=\"https:\/\/ijcai19.org\/\">IJCAI2019<\/a>), August 10 -16, 2019. Macao, China.&nbsp;<a href=\"http:\/\/www.public.asu.edu\/~kding9\/pdf\/IJCAI2019_InterSpot.pdf\">pdf<\/a><\/li>\n\n\n\n<li><a href=\"http:\/\/www.public.asu.edu\/~jundongl\/\">Jundong Li<\/a>, Ruocheng Guo, Chenghao Liu, Huan Liu. &#8220;Adaptive Unsupervised Feature Selection on Attributed Networks&nbsp; &#8220;,&nbsp; In Proceedings of 25th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (<a href=\"https:\/\/www.kdd.org\/kdd2019\/\">KDD 2019<\/a>), August 4-8, 2019. Anchorage, Alaska. pdf<\/li>\n\n\n\n<li><a href=\"http:\/\/www.public.asu.edu\/~skai2\/\">Kai Shu<\/a>, Limeng Cui, Suhang Wang, Dongwon Lee, and Huan Liu. &#8220;dEFEND: Explainable Fake News Detection&#8221;, &nbsp; In Proceedings of 25th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (<a href=\"https:\/\/www.kdd.org\/kdd2019\/\">KDD 2019<\/a>), August 4-8, 2019. Anchorage, Alaska.&nbsp;&nbsp;<a href=\"http:\/\/www.public.asu.edu\/~skai2\/files\/kdd_explain_fake.pdf\">pdf<\/a><\/li>\n\n\n\n<li><a href=\"http:\/\/www.public.asu.edu\/~thossein\/\">Tahora H. Nazer<\/a>, Matthew Davis, Mansooreh Karami, Leman Akoglu, David Koelle, and Huan Liu. &#8220;Bot Detection: Will Focusing on Recall Cause Overall Performance Deterioration&#8221;,&nbsp; International Conference on Social Computing, Behavior-Culture Modeling, and Prediction (<a href=\"http:\/\/sbp-brims.org\/2019\/\">SBP-BRiMS 2019<\/a>), July 9 &#8211; 12, 2019. Washington DC.&nbsp;<a href=\"http:\/\/www.public.asu.edu\/~thossein\/papers\/SBP_19_Focusing.pdf\">pdf<\/a>&nbsp;&nbsp;<a href=\"https:\/\/github.com\/DMML-ASU\/REFOCUS_Public\">data and code<\/a>&nbsp;[285]<\/li>\n\n\n\n<li>&nbsp;Jayashree Subramanian*, Varun Sridharan*,&nbsp;Kai Shu, and Huan Liu. &#8220;Exploiting Emojis for Sarcasm Detection&#8221;.&nbsp; International Conference on Social Computing, Behavior-Culture Modeling, and Prediction (<a href=\"http:\/\/sbp-brims.org\/2019\/\">SBP-BRiMS 2019<\/a>), July 9 &#8211; 12, 2019. Washington DC.&nbsp;<a href=\"http:\/\/www.public.asu.edu\/~skai2\/files\/sbp_2019_usarcasm.pdf\">pdf<\/a><\/li>\n\n\n\n<li><a href=\"http:\/\/www.public.asu.edu\/~kding9\/#\">Kaize Ding<\/a>, Jundong Li, Rohit Bhanushali, and Huan Liu. &#8220;Deep Anomaly Detection on Attributed Networks with Graph Convolutional Networks&#8221;. In Proceedings of the 2019 SIAM International Conference on Data Mining (<a href=\"https:\/\/www.siam.org\/Conferences\/CM\/Main\/sdm19\">SDM19<\/a>), Calgary, Canada, May 2-4, 2019.&nbsp;<a href=\"http:\/\/www.public.asu.edu\/~kding9\/pdf\/SDM2019_Deep.pdf\">pdf<\/a><\/li>\n\n\n\n<li><a href=\"http:\/\/www.public.asu.edu\/~lcheng35\/\">Lu Cheng<\/a>, Ruocheng Guo, Yasin N. Silva, Deborah Hall, and Huan Liu. &#8220;Hierarchical Attention Networks for Cyberbullying Detection on the Instagram Social Network&#8221;. In Proceedings of the 2019 SIAM International Conference on Data Mining (<a href=\"https:\/\/www.siam.org\/Conferences\/CM\/Main\/sdm19\">SDM19<\/a>), Calgary, Canada, May 2-4, 2019.&nbsp;<a href=\"https:\/\/www.researchgate.net\/publication\/331314806_Hierarchical_Attention_Networks_for_Cyberbullying_Detection_on_the_Instagram_Social_Network\">pdf<\/a><\/li>\n\n\n\n<li>Shuo Yang,&nbsp;<a href=\"http:\/\/www.public.asu.edu\/~skai2\/\">Kai Shu<\/a>,&nbsp;<a href=\"https:\/\/faculty.ist.psu.edu\/szw494\/\">Suhang Wang<\/a>, Renjie Gu, Fan Wu, and Huan Liu. &#8220;Unsupervised Fake News Detection on Social Media: A Generative Approach&#8221;. In Proceedings of 33rd AAAI Conference on Artificial Intelligence (<a href=\"https:\/\/aaai.org\/Conferences\/AAAI-19\/\">AAAI 2019<\/a>). Honolulu, Hawaii. January 27 &#8211; February 1, 2019.&nbsp;<a href=\"http:\/\/www.public.asu.edu\/~skai2\/files\/aaai_2019_unsupervised.pdf\">pdf<\/a><\/li>\n\n\n\n<li><a href=\"http:\/\/www.public.asu.edu\/~lcheng35\/\">Lu Cheng<\/a>, Jundong Li, Yasin Silva, Debora Hall, and Huan Liu. &#8220;XBully: Cyberbullying Detection within a Multi-Modal Context&#8221;. In the Proceedings of 12th ACM International Conference on Web Search and Data Mining (<a href=\"http:\/\/www.wsdm-conference.org\/2019\/\">WSDM 2019<\/a>). February 11-15, 2019. Melbourne, Australia. pdf [280]<\/li>\n\n\n\n<li><a href=\"http:\/\/www.public.asu.edu\/~gbeigi\/\">Ghazaleh Beigi<\/a>, Ruocheng Guo, Alex Nou, Yanchao Zhang, and Huan Liu. &#8220;Protecting User Privacy: An Approach for Untraceable Web Browsing History and Unambiguous User Profiles&#8221;. In the Proceedings of 12th ACM International Conference on Web Search and Data Mining (<a href=\"http:\/\/www.wsdm-conference.org\/2019\/\">WSDM 2019<\/a>). February 11-15, 2019. Melbourne, Australia.&nbsp;<a href=\"http:\/\/www.public.asu.edu\/~gbeigi\/files\/BeigiWebAnonymization.pdf\">pdf<\/a>,&nbsp;<a href=\"https:\/\/blog.acolyer.org\/2019\/02\/20\/protecting-user-privacy:-an-approach-for-untraceable-web-browsing-history-and-unambiguous-user-profiles\/\">the morning paper<\/a><a href=\"https:\/\/www.public.asu.edu\/%7Ehuanliu\/publications.html#\"><\/a><\/li>\n\n\n\n<li><a href=\"http:\/\/www.public.asu.edu\/~kding9\/#\">Kaize Ding<\/a>, Jundong Li, and Huan Liu. &#8220;Interactive Anomaly Detection on Attributed Networks&#8221;. In the Proceedings of 12th ACM International Conference on Web Search and Data Mining (<a href=\"http:\/\/www.wsdm-conference.org\/2019\/\">WSDM 2019<\/a>). February 11-15, 2019. Melbourne, Australia.&nbsp;<a href=\"http:\/\/www.public.asu.edu\/~kding9\/#\">pdf<\/a><a href=\"https:\/\/blog.acolyer.org\/2019\/02\/13\/beyond-news-contents-the-role-of-social-context-for-fake-news-detection\/\"><\/a><\/li>\n\n\n\n<li>Vineeth Rakesh,&nbsp;<a href=\"https:\/\/faculty.ist.psu.edu\/szw494\/\">Suhang Wang<\/a>, Kai Shu, and Huan Liu. &#8220;Linked Variational AutoEncoders for Inferring Substitutable and Supplementary Items&#8221;. In the Proceedings of 12th ACM International Conference on Web Search and Data Mining (<a href=\"http:\/\/www.wsdm-conference.org\/2019\/\">WSDM 2019<\/a>). February 11-15, 2019. Melbourne, Australia. pdf<\/li>\n\n\n\n<li><a href=\"http:\/\/www.public.asu.edu\/~skai2\/\">Kai Shu<\/a>, Suhang Wang, and Huan Liu. &#8220;Beyond News Content: The Role of Social Context for Fake News Detection&#8221;. In the Proceedings of 12th ACM International Conference on Web Search and Data Mining (<a href=\"http:\/\/www.wsdm-conference.org\/2019\/\">WSDM 2019<\/a>). February 11-15, 2019. Melbourne, Australia.&nbsp;<a href=\"http:\/\/www.public.asu.edu\/~skai2\/files\/wsdm_2019_fake_news.pdf\">pdf<\/a>,&nbsp;<a href=\"https:\/\/blog.acolyer.org\/2019\/02\/13\/beyond-news-contents-the-role-of-social-context-for-fake-news-detection\/\">the morning paper<\/a><\/li>\n<\/ul>\n\n\n\n<p><strong>2018<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><a href=\"http:\/\/www.public.asu.edu\/~skai2\/\">Kai Shu<\/a>,&nbsp;<a href=\"https:\/\/faculty.ist.psu.edu\/szw494\/\">Suhang Wang<\/a>, Thai Le, Dongwon Lee, and Huan Liu. &#8220;Deep Headline Generation for Clickbait Detection&#8221;. In the 2018 IEEE International Conference on Data Mining&nbsp;<a href=\"http:\/\/icdm2018.org\/\">(ICDM2018<\/a>). November 17 -20, 2018. Singapore.&nbsp;<a href=\"http:\/\/www.public.asu.edu\/~skai2\/papers\/clickbait_2018.pdf\">pdf<\/a>&nbsp;[275]<\/li>\n\n\n\n<li><a href=\"https:\/\/www.linkedin.com\/in\/shan-yun-teng-73413b73\/\">Shan-Yun Teng<\/a>, Jundong Li, Lo-Pang-Yun Ting, Kun-Ta Chuang, Huan Liu. &#8220;Interactive Unknowns Recommendation in E-Learning Systems\u201d. In the 2018 IEEE International Conference on Data Mining&nbsp;<a href=\"http:\/\/icdm2018.org\/\">(ICDM2018<\/a>). November 17 -20, 2018. Singapore.&nbsp;<a href=\"http:\/\/www.public.asu.edu\/~jundongl\/paper\/ICDM18_CagMab.pdf\">pdf<\/a><\/li>\n\n\n\n<li>Junliang Yu,&nbsp;Min&nbsp;Gao, Jundong Li, Hongzhi Yin, and Huan Liu. &#8220;Adaptive Implicit Friend Identification over Heterogeneous Networks for Social Recommendation&#8221;. In Proceedings of the 26th ACM International Conference on Information and Knowledge Management (<a href=\"http:\/\/www.cikm2018.units.it\/#firstPage\">CIKM2018<\/a>).&nbsp; October 22 &#8211; 26, 2018. Turin, Italy.&nbsp;&nbsp;<a href=\"http:\/\/www.public.asu.edu\/~jundongl\/paper\/CIKM18_IFBPR.pdf\">pdf<\/a><\/li>\n\n\n\n<li>Yiqi Chen, Tieyun Qian, Huan Liu, and Ke Sun. &#8220;`Bridge&#8217; Enhanced Signed Directed Network Embedding&#8221;. In Proceedings of the 26th ACM International Conference on Information and Knowledge Management (<a href=\"http:\/\/www.cikm2018.units.it\/#firstPage\">CIKM2018<\/a>).&nbsp; October 22 &#8211; 26, 2018. Turin, Italy.&nbsp;&nbsp;<a href=\"http:\/\/www.public.asu.edu\/~jundongl\/paper\/CIKM18_IFBPR.pdf\">pdf<\/a>,&nbsp;<a href=\"https:\/\/github.com\/yqc01\/BESIDE\">data and code<\/a><\/li>\n\n\n\n<li><a href=\"http:\/\/www.public.asu.edu\/~liangyue\/\">Liangyue Li<\/a>, Hanghang Tong, and Huan Liu. &#8220;Towards Explainable Networked Prediction&#8221;. Short Paper. In Proceedings of the 26th ACM International Conference on Information and Knowledge Management (<a href=\"http:\/\/www.cikm2018.units.it\/#firstPage\">CIKM2018<\/a>).&nbsp; October 22 &#8211; 26, 2018. Turin, Italy.&nbsp; pdf<\/li>\n\n\n\n<li>Vineeth Rakesh,&nbsp;<a href=\"http:\/\/www.public.asu.edu\/~rguo12\/\">Ruocheng Guo<\/a>, Raha Moraffah, Nitin Agarwal, and Huan Liu. &#8220;Linked Causal Variational Autoencoder for Inferring Paired Spillover Effects&#8221;. Short Paper. In Proceedings of the 26th ACM International Conference on Information and Knowledge Management (<a href=\"http:\/\/www.cikm2018.units.it\/#firstPage\">CIKM2018<\/a>).&nbsp; October 22 &#8211; 26, 2018. Turin, Italy.&nbsp;&nbsp;<a href=\"http:\/\/www.public.asu.edu\/~rguo12\/CIKM18.pdf\">pdf&nbsp;<\/a>[270]<\/li>\n\n\n\n<li>Wen Zhang,&nbsp;<a href=\"http:\/\/www.public.asu.edu\/~skai2\/\">Kai Shu<\/a>, Suhang Wang, Huan Liu, and Yalin Wang. &#8220;Multimodal Fusion of Brain Networks with Longitudinal Couplings&#8221;, In 21th International Conference on Medical Image Computing and Computer Assisted Intervention (<a href=\"https:\/\/www.miccai2018.org\/en\/\">MICCAI 2018<\/a>). September 16 -20, 2018. Granada, Spain.&nbsp;<a href=\"http:\/\/www.public.asu.edu\/~skai2\/files\/Zhang_2018.pdf\">pdf<\/a><\/li>\n\n\n\n<li><a href=\"http:\/\/www.public.asu.edu\/~skai2\/\">Kai Shu<\/a>, Suhang Wang, Jiliang Tang, Yi Chang, Ping Luo, and Huan Liu.&nbsp; &#8220;Exploiting User Actions for App Recommendations&#8221;, Short Paper. In The 2018 IEEE\/ACM International Conference on Advances in Social Networks Analysis and Mining (<a href=\"http:\/\/asonam.cpsc.ucalgary.ca\/2018\/\">ASONAM 2018<\/a>). August 28 &#8211; 31, 2018. Barcelona, Spain.&nbsp;<a href=\"http:\/\/www.public.asu.edu\/~skai2\/papers\/asonam_2018_app_camera.pdf\">pdf<\/a><\/li>\n\n\n\n<li>Nur&nbsp;Shazwani Kamarudin, Vineeth Rakesh Mohan, Ghazaleh Beigi, Lydia Manikonda and Huan Liu. &#8220;A Study of Reddit-User\u2019s Response to Rape&#8221;, Poster Paper. In The 2018 IEEE\/ACM International Conference on Advances in Social Networks Analysis and Mining (<a href=\"http:\/\/asonam.cpsc.ucalgary.ca\/2018\/\">ASONAM 2018<\/a>). August 28 &#8211; 31, 2018. Barcelona, Spain. pdf<\/li>\n\n\n\n<li><a href=\"https:\/\/sites.google.com\/site\/gspangsite\/\">Guansong Pang<\/a>, Longbing Cao, Ling Chen, and Huan Liu. &#8220;Learning Representations of Ultrahigh-dimensional Data for Random Distance-based Outlier Detection&#8221;,&nbsp;In:&nbsp;24th SIGKDD Conference on Knowledge Discovery and Data Mining&nbsp;(<a href=\"http:\/\/www.kdd.org\/kdd2018\/\">KDD2018<\/a>), August 19-23, 2018.&nbsp;London, UK.&nbsp;&nbsp;<a href=\"https:\/\/sites.google.com\/site\/gspangsite\/REPEN_KDD18_CR.pdf\">pdf<\/a><\/li>\n\n\n\n<li>Amy Sliva,&nbsp;<a href=\"http:\/\/www.public.asu.edu\/~skai2\/\">Kai Shu<\/a>, and Huan Liu.&nbsp; &#8220;Using Social Media to Understand Cyber Attack Behavior&#8221;, In 9th International Conference on Applied Human Factors and Ergonomics (<a href=\"http:\/\/ahfe2018.org\/\">AHFE 2018<\/a>), July 21 &#8211; 25, 2018. Orlando, Florida.&nbsp;<a href=\"http:\/\/www.public.asu.edu\/~skai2\/papers\/Sliva_2018.pdf\">pdf<\/a>&nbsp;[265]<\/li>\n\n\n\n<li><a href=\"http:\/\/www.public.asu.edu\/~rguo12\/\">Ruocheng Guo<\/a>, Jundong Li, and Huan Liu. &#8220;INITIATOR: Noise-contrastive Estimation for Marked Temporal Point Process &#8220;, the 27th International Joint Conference on Artificial Intelligence and the 23rd European Conference on Artificial Intelligence (<a href=\"https:\/\/www.ijcai-18.org\/\">IJCAI-ECAI-18<\/a>), July 13-19, 2018. Stockholm, Sweden.&nbsp;<a href=\"http:\/\/www.public.asu.edu\/~rguo12\/IJCAI18.pdf\">pdf<\/a><\/li>\n\n\n\n<li><a href=\"http:\/\/www.public.asu.edu\/~gbeigi\/\">Ghazaleh Beigi<\/a>, Kai Shu, Yanchao Zhang, and Huan Liu. &#8220;Securing Social Media User Data &#8211; An Adversarial Approach&#8221;,&nbsp; the 29th ACM Conference on HyperText and Social Media (<a href=\"https:\/\/ht.acm.org\/ht2018\/\">HT-2018<\/a>), July 9 &#8211; 12, 2018. Baltimore, Maryland.&nbsp;&nbsp;<a href=\"http:\/\/www.public.asu.edu\/~gbeigi\/files\/BeigiAttack.pdf\">pdf<\/a><\/li>\n\n\n\n<li><a href=\"http:\/\/www.public.asu.edu\/~liangwu1\/\">Liang Wu<\/a>, Diane Hu, Liangjie Hong, and Huan Liu. &#8220;Turning Clicks into Purchases: Revenue Optimization for Product Search in E-Commerce&#8221;, The 41st International ACM SIGIR Conference on Research and Development in Information Retrieval (<a href=\"http:\/\/sigir.org\/sigir2018\/\">SIGIR2018<\/a>), July 8 &#8211; 12, 2018. Ann Arbor, Michigan.&nbsp;<a href=\"http:\/\/www.public.asu.edu\/~liangwu1\/turning-clicks-purchases.pdf\">pdf<\/a><\/li>\n\n\n\n<li>Kathleen Carley, Guido Cervone, Nitin Agarwal, and Huan Liu. &#8220;Social Cyber-Security&#8221;, short paper, International Conference on Social Computing, Behavior-Culture Modeling, and Prediction (<a href=\"http:\/\/sbp-brims.org\/2018\/\">SBP-BRiMS 2018<\/a>), July 10 &#8211; 13, 2018. Washington DC. [260]<\/li>\n\n\n\n<li><a href=\"http:\/\/www.public.asu.edu\/~gbeigi\/\">Ghazaleh Beigi<\/a>&nbsp;and Huan Liu. &#8220;Similar but Different: Exploiting Users Congruity for Recommendation Systems&#8221;, International Conference on Social Computing, Behavior-Culture Modeling, and Prediction (<a href=\"http:\/\/sbp-brims.org\/2018\/\">SBP-BRiMS 2018<\/a>), July 10 &#8211; 13, 2018. Washington DC.&nbsp;<a href=\"http:\/\/www.public.asu.edu\/~gbeigi\/files\/Beigi-Congruity.pdf\">pdf<\/a><\/li>\n\n\n\n<li><a href=\"http:\/\/www.public.asu.edu\/~lmanikon\/\">Lydia Manikonda<\/a>, Ghazaleh Beigi, Huan Liu and Subbarao Kambhampati. &#8220;Twitter for Sparking a Movement, Reddit for Sharing the Moment: #metoo through the Lens of Social Media&#8221;, short paper, International Conference on Social Computing, Behavior-Culture Modeling, and Prediction (<a href=\"http:\/\/sbp-brims.org\/2018\/\">SBP-BRiMS 2018<\/a>), July 10 &#8211; 13, 2018. Washington DC.&nbsp;<a href=\"https:\/\/arxiv.org\/abs\/1803.08022\">pdf<\/a><\/li>\n\n\n\n<li><a href=\"http:\/\/www.public.asu.edu\/~skai2\/\">Kai Shu<\/a>, Amy Sliva, Justin Sampson, and Huan Liu. &#8220;Understanding Cyber Attack Behaviors with Sentiment Information on Social Media&#8221;,&nbsp; International Conference on Social Computing, Behavior-Culture Modeling, and Prediction (<a href=\"http:\/\/sbp-brims.org\/2018\/\">SBP-BRiMS 2018<\/a>), July 10 &#8211; 13, 2018. Washington DC.&nbsp;<a href=\"http:\/\/www.public.asu.edu\/~skai2\/papers\/sbp_cyber_senti.pdf\">pdf<\/a><\/li>\n\n\n\n<li><a href=\"http:\/\/www.public.asu.edu\/~liangwu1\/\">Liang Wu<\/a>, Jundong Li, Fred Morstatter, Huan Liu.&nbsp;&#8220;Toward Relational Learning with Misinformation&#8221;. The 18th SIAM International Conference on Data Mining (<a href=\"http:\/\/www.siam.org\/meetings\/sdm18\/index.php\">SDM 2018<\/a>), May 3-5, 2018. San Diego, CA.&nbsp;<a href=\"http:\/\/www.public.asu.edu\/~liangwu1\/SDM18_RLM.pdf\">pdf<\/a><\/li>\n\n\n\n<li><a href=\"http:\/\/www.public.asu.edu\/~jundongl\/\">Jundong Li<\/a>, Chen Chen, Hanghang Tong, and Huan Liu. &#8220;Multi-Layered Network Embedding&#8221;.&nbsp; The 18th SIAM International Conference on Data Mining (<a href=\"http:\/\/www.siam.org\/meetings\/sdm18\/index.php\">SDM 2018<\/a>), May 3-5, 2018. San Diego, CA.&nbsp;<a href=\"http:\/\/www.public.asu.edu\/~jundongl\/paper\/SDM18_MANE.pdf\">pdf<\/a>&nbsp;[255]<\/li>\n\n\n\n<li><a href=\"http:\/\/www.public.asu.edu\/~jundongl\/\">Jundong Li<\/a>, Jiliang Tang, Yilin Wang, Yali Wan, Yi Chang and Huan Liu&nbsp;&#8220;Understanding and Predicting Delay in Reciprocal Relations&#8221;.&nbsp; In Proceedings of the 27th International Conference on World Wide Web (WWW), Lyon, France, Apr 23-27, 2018.&nbsp;<a href=\"http:\/\/www.public.asu.edu\/~jundongl\/paper\/WWW18_Reciprocal_Delay.pdf\">pdf<\/a><\/li>\n\n\n\n<li><a href=\"http:\/\/www.public.asu.edu\/~skai2\/\">Kai Shu<\/a>, Suhang Wang, Jiliang Tang, Yilin Wang, and Huan Liu.&nbsp; &#8220;CrossFire: Cross Media Joint Friend and Item Recommendations&#8221;,&nbsp;The 11th ACM International Conference on Web Search and Data Mining&nbsp; (<a href=\"http:\/\/www.wsdm-conference.org\/2018\/\">WSDM2018<\/a>), Los Angeles, CA. Feb 5-9, 2018.&nbsp;<a href=\"http:\/\/www.public.asu.edu\/~skai2\/papers\/wsdmf325-shuA.pdf\">pdf<\/a><\/li>\n\n\n\n<li><a href=\"http:\/\/www.public.asu.edu\/~liangwu1\/\">Liang Wu<\/a>&nbsp;and Huan Liu. &#8220;Tracing Fake-News Footprints: Characterizing Social Media Messages by How They Propagate&#8221;,&nbsp; &nbsp;The 11th ACM International Conference on Web Search and Data Mining&nbsp; (<a href=\"http:\/\/www.wsdm-conference.org\/2018\/\">WSDM2018<\/a>), Los Angeles, CA. Feb 5-9, 2018.&nbsp;<a href=\"http:\/\/www.public.asu.edu\/~liangwu1\/WSDM18_TraceMiner.pdf\">pdf<\/a><\/li>\n\n\n\n<li><a href=\"http:\/\/www.public.asu.edu\/~jundongl\/\">Jundong Li<\/a>, Kewei Cheng, Liang Wu, and Huan Liu.&nbsp; &#8220;Streaming Link Prediction on Dynamic Attributed Networks &#8220;, &nbsp;The 11th ACM International Conference on Web Search and Data Mining&nbsp; (<a href=\"http:\/\/www.wsdm-conference.org\/2018\/\">WSDM2018<\/a>), Los Angeles, CA. Feb 5-9, 2018.&nbsp;<a href=\"http:\/\/www.public.asu.edu\/~jundongl\/paper\/WSDM18_SLIDE.pdf\">pdf<\/a><\/li>\n\n\n\n<li>Suhas Ranganath, Ghazaleh Beigi, and&nbsp; Huan Liu. &#8220;Leveraging Implicit Contribution Amounts to Facilitate Microfinancing Requests&#8221;, &nbsp;the 11th ACM International Conference on Web Search and Data Mining&nbsp; (<a href=\"http:\/\/www.wsdm-conference.org\/2018\/\">WSDM2018<\/a>), Los Angeles, CA. Feb 5-9, 2018.&nbsp;<a href=\"http:\/\/www.public.asu.edu\/~gbeigi\/files\/RanganathCrowdfunding.pdf\">pdf<\/a>&nbsp;[250]<\/li>\n\n\n\n<li>Xuying Meng, Suhang Wang, Huan Liu, and Yujun Zhang. &#8220;Exploiting Emotion on Reviews for Recommender Systems&#8221;, The Thirty-Second AAAI International Conference on AI (<a href=\"https:\/\/aaai.org\/Conferences\/AAAI-18\/\">AAAI2018<\/a>), New Orleans, Louisiana. Feb 2-7, 2018.&nbsp;<a href=\"https:\/\/www.researchgate.net\/profile\/Suhang_Wang\/publication\/321794760_Exploiting_Emotion_on_Reviews_for_Recommender_Systems\/links\/5a31e9c3a6fdcc9b2da35c47\/Exploiting-Emotion-on-Reviews-for-Recommender-Systems.pdf?origin=publication_detail\">pdf<\/a><\/li>\n\n\n\n<li>Xuying Meng, Suhang Wang, Kai Shu, Jundong Li, Bo Chen, Huan Liu, and Yujun Zhang. &#8220;Personalized Privacy-Preserving Social Recommendation&#8221; The Thirty-Second AAAI International Conference on AI (<a href=\"https:\/\/aaai.org\/Conferences\/AAAI-18\/\">AAAI2018<\/a>), New Orleans, Louisiana. Feb 2-7, 2018.&nbsp;<a href=\"https:\/\/www.researchgate.net\/profile\/Suhang_Wang\/publication\/321794333_Personalized_Privacy-Preserving_Social_Recommendation\/links\/5a4037020f7e9ba8689dfbc8\/Personalized-Privacy-Preserving-Social-Recommendation.pdf?origin=publication_detail\">pdf<\/a><\/li>\n\n\n\n<li><a href=\"https:\/\/sites.google.com\/site\/gspangsite\/\">Guansong Pang<\/a>, Longbing Cao, Ling Chen, Defu Lian, and Huan Liu. &#8220;Sparse Modeling-based Sequential Ensemble Learning for Effective Outlier Detection in High-dimensional Numeric Data&#8221; The Thirty-Second AAAI International Conference on AI (<a href=\"https:\/\/aaai.org\/Conferences\/AAAI-18\/\">AAAI2018<\/a>), New Orleans, Louisiana. Feb 2-7, 2018.&nbsp;<a href=\"https:\/\/sites.google.com\/site\/gspangsite\/CINFO_AAAI18-CR.pdf\">pdf<\/a><\/li>\n\n\n\n<li><a href=\"http:\/\/www.public.asu.edu\/~jundongl\/\">Jundong Li<\/a>, Liang Wu, Harsh Dani, and Huan Liu. &#8220;Unsupervised Personalized Feature Selection&#8221; The Thirty-Second AAAI International Conference on AI (<a href=\"https:\/\/aaai.org\/Conferences\/AAAI-18\/\">AAAI2018<\/a>), New Orleans, Louisiana. Feb 2-7, 2018.&nbsp;<a href=\"http:\/\/www.public.asu.edu\/~jundongl\/paper\/AAAI18_UPFS.pdf\">pdf<\/a><\/li>\n<\/ul>\n\n\n\n<p><strong>2017<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><a href=\"https:\/\/scholar.google.com\/citations?user=uY6ek7sAAAAJ&amp;hl=en\">Jundong Li<\/a>, Harsh Dani, Xia Hu, Jiliang Tang, Yi Chang, and Huan Liu. &#8220;Attributed Network Embedding for Learning in a Dynamic Environment&#8221;, In Proceedings of the 26th ACM International Conference on Information and Knowledge Management (<a href=\"http:\/\/cikm2017.org\/\">CIKM2017<\/a>), Singapore, Nov 6-10, 2017.&nbsp;<a href=\"https:\/\/arxiv.org\/abs\/1706.01860\">pdf<\/a>&nbsp;[245]<\/li>\n\n\n\n<li><a href=\"https:\/\/faculty.ist.psu.edu\/szw494\/\">Suhang Wang<\/a>, Charu Aggarwal, Jiliang Tang, and Huan Liu. &#8220;Attributed Signed Network Embedding&#8221;, In Proceedings of the 26th ACM International Conference on Information and Knowledge Management (<a href=\"http:\/\/cikm2017.org\/\">CIKM2017<\/a>), Singapore, Nov 6-10, 2017.&nbsp;<a href=\"http:\/\/www.public.asu.edu\/~swang187\/publications\/SNEA.pdf\">pdf<\/a><\/li>\n\n\n\n<li>Harsh Dani,&nbsp;<a href=\"http:\/\/www.public.asu.edu\/~jundongl\/\">Jundong Li<\/a>, and Huan Liu. &#8220;Sentiment Informed Cyberbullying Detection in Social Media&#8221;, The European Conference on Machine Learning &amp; Principles and Practice of Knowledge Discovery in Databases (<a href=\"http:\/\/ecmlpkdd2017.ijs.si\/\">ECML-PKDD 2017<\/a><a href=\"https:\/\/www.public.asu.edu\/%7Ehuanliu\/ecmlpkdd2017.ijs.si\"><\/a>), Skopje, Macedonia. September 18 &#8211; 22, 2017.&nbsp;<a href=\"http:\/\/www.public.asu.edu\/~jundongl\/paper\/ECMLPKDD17.pdf\">pdf<\/a><\/li>\n\n\n\n<li><a href=\"http:\/\/www.public.asu.edu\/~jundongl\/\">Jundong Li<\/a>, Harsh Dani, Xia Hu, and Huan Liu. &#8220;Radar: Residual Analysis for Anomaly Detection in Attributed Networks&#8221;, In Proceedings of the 26th International Joint Conference on Artificial Intelligence (<a href=\"https:\/\/ijcai-17.org\/\">IJCAI<\/a>), Melbourne, Australia, Aug 19-25, 2017.&nbsp;<a href=\"http:\/\/www.public.asu.edu\/~jundongl\/paper\/IJCAI17_Radar.pdf\">pdf<\/a><\/li>\n\n\n\n<li><a href=\"http:\/\/www.public.asu.edu\/~jundongl\/\">Jundong Li<\/a>, Jiliang Tang, and Huan Liu. &#8220;Reconstruction-based Unsupervised Feature Selection: An Embedded Approach&#8221;, In Proceedings of the 26th International Joint Conference on Artificial Intelligence (<a href=\"https:\/\/ijcai-17.org\/\">IJCAI<\/a>), Melbourne, Australia, Aug 19-25, 2017.&nbsp;<a href=\"http:\/\/www.public.asu.edu\/~jundongl\/paper\/IJCAI17_REFS.pdf\">pdf<\/a><\/li>\n\n\n\n<li><a href=\"https:\/\/sites.google.com\/site\/gspangsite\/\">Guansong Pang<\/a>, Longbing Cao, Ling Chen, and Huan Liu. &#8220;Learning Homophily Couplings from Non-IID Data for Joint Feature Selection and Noise-Resilient Outlier Detection&#8221;,&nbsp; In Proceedings of the 26th International Joint Conference on Artificial Intelligence (<a href=\"https:\/\/ijcai-17.org\/\">IJCAI<\/a>), Melbourne, Australia, Aug 19-25, 2017.&nbsp;<a href=\"https:\/\/sites.google.com\/site\/gspangsite\/HOUR_IJCAI2017_camera-ready-finalized.pdf?attredirects=0&amp;d=1\">pdf<\/a>&nbsp;[240]<\/li>\n\n\n\n<li>Kewei Cheng,&nbsp;<a href=\"http:\/\/www.public.asu.edu\/~jundongl\/\">Jundong Li<\/a>, and Huan Liu. &#8220;Unsupervised Feature Selection in Signed Social Networks&#8221;, In Proceedings of 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining&nbsp;<a href=\"http:\/\/www.kdd.org\/kdd2017\/\">(KDD<\/a>), Halifax, Canada, Aug 13-17, 2017.&nbsp;<a href=\"http:\/\/www.public.asu.edu\/~jundongl\/paper\/KDD17_SignedFS.pdf\">pdf<\/a><\/li>\n\n\n\n<li><a href=\"https:\/\/faculty.ist.psu.edu\/szw494\/\">Suhang Wang<\/a>, Charu Aggarwal, Huan Liu. &#8220;Randomized Feature Engineering as a Fast and Accurate Alternative to Kernel Methods&#8221;, In Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (<a href=\"http:\/\/www.kdd.org\/kdd2017\/\">KDD<\/a>), Halifax, Canada, Aug 13-17, 2017.&nbsp;<a href=\"http:\/\/www.public.asu.edu\/~swang187\/publications\/RandLocal.pdf\">pdf<\/a><\/li>\n\n\n\n<li><a href=\"http:\/\/www.public.asu.edu\/~liangwu1\/\">Liang Wu<\/a>, Xia Hu, Fred Morstatter, Huan Liu. &#8220;Adaptive Spammer Detection with Sparse Group Modeling&#8221;, the 11th AAAI International Conference on Web and Social Media (<a href=\"http:\/\/www.icwsm.org\/2017\/\">ICWSM 2017<\/a>), May 15-18, 2017. Montreal, Canada.&nbsp;<a href=\"http:\/\/www.public.asu.edu\/~liangwu1\/papers\/ICWSM17_Liang%20Wu_Adaptive%20Spammer%20Detection.pdf\">pdf<\/a><\/li>\n\n\n\n<li><a href=\"http:\/\/www.public.asu.edu\/~liangwu1\/\">Liang Wu<\/a>, Xia Hu, Huan Liu. &#8220;Early Identification of Personalized Trending Topics in Microblogging&#8221;, poster paper, the 11th AAAI&nbsp; International Conference on Web and Social Media (<a href=\"http:\/\/www.icwsm.org\/2017\/\">ICWSM 2017<\/a>), May 15-18, 2017. Montreal, Canada.&nbsp;<a href=\"http:\/\/www.public.asu.edu\/~liangwu1\/papers\/ICWSM-17_Liang%20Wu_Trending%20Topic%20Recommendation.pdf\">pdf<\/a><\/li>\n\n\n\n<li><a href=\"http:\/\/www.public.asu.edu\/~liangwu1\/\">Liang Wu<\/a>, Xia Hu, Fred Morstatter, Huan Liu. &#8220;Detecting Camouflaged Content Polluters&#8221;, poster paper, the 11th AAAI International Conference on Web and Social Media (<a href=\"http:\/\/www.icwsm.org\/2017\/\">ICWSM 2017<\/a>), May 15-18, 2017. Montreal, Canada.&nbsp;<a href=\"http:\/\/www.public.asu.edu\/~liangwu1\/papers\/ICWSM-17_Liang%20Wu_Camouflaged%20Content%20Polluter%20Detection.pdf\">pdf<\/a>&nbsp; [235]<\/li>\n\n\n\n<li>Robert Trevino, Thomas J. Lamkin, Ross Smith, Steve A. Kawamoto, Huan Liu. &#8220;Maximum Distance Minimum Error (MDME): A Non-parametric Approach to Feature Selection for Image-Based High Content Screening Data&#8221;, IEEE Intelligent Systems Conference (<a href=\"http:\/\/saiconference.com\/IntelliSys2017\">IntelliSys2017<\/a>). September 7-8, 2017. London, United Kingdom.<\/li>\n\n\n\n<li><a href=\"http:\/\/www.public.asu.edu\/~liangwu1\/\">Liang Wu<\/a>, Jundong Li, Xia Hu, Huan Liu.&nbsp;&#8220;Gleaning Wisdom from the Past: Early Detection of Emerging Rumors in Social Media&#8221;, SIAM International Conference on Data Mining (<a href=\"http:\/\/www.siam.org\/meetings\/sdm17\/\">SDM17<\/a>), April 27-29, 2017. Houston, Texas.&nbsp;<a href=\"http:\/\/www.public.asu.edu\/~liangwu1\/SDM17_Rumor_Detection.pdf\">pdf<\/a><\/li>\n\n\n\n<li><a href=\"https:\/\/faculty.ist.psu.edu\/szw494\/\">Suhang Wang<\/a>, Charu Aggarwal, and Huan Liu. &#8220;Using a Random Forest to Inspire a Neural Network and Improving on It&#8221;, SIAM International Conference on Data Mining (<a href=\"http:\/\/www.siam.org\/meetings\/sdm17\/\">SDM17<\/a>), April 27-29, 2017. Houston, Texas.&nbsp;<a href=\"http:\/\/www.public.asu.edu\/~swang187\/publications\/NNRF.pdf\">pdf<\/a><\/li>\n\n\n\n<li><a href=\"https:\/\/faculty.ist.psu.edu\/szw494\/\">Suhang Wang<\/a>, Yilin Wang, Jiliang Tang, Charu Aggarwal, Suhas Ranganath, and Huan Liu. &#8220;Exploiting Hierarchical Structures for Unsupervised Feature Selection&#8221;, SIAM International Conference on Data Mining (<a href=\"http:\/\/www.siam.org\/meetings\/sdm17\/\">SDM17<\/a>), April 27-29, 2017. Houston, Texas.&nbsp;<a href=\"http:\/\/www.public.asu.edu\/~swang187\/publications\/HUFS.pdf\">pdf<\/a><\/li>\n\n\n\n<li><a href=\"https:\/\/faculty.ist.psu.edu\/szw494\/\">Suhang Wang<\/a>, Jiliang Tang, Charu Aggarwal, Yi Chang, and Huan Liu. &#8220;Signed Network Embedding in Social Media&#8221;, SIAM International Conference on Data Mining (<a href=\"http:\/\/www.siam.org\/meetings\/sdm17\/\">SDM17<\/a>), April 27-29, 2017. Houston, Texas.&nbsp;<a href=\"http:\/\/www.public.asu.edu\/~swang187\/publications\/SiNE.pdf\">pdf<\/a>&nbsp;[230]<\/li>\n\n\n\n<li><a href=\"http:\/\/www.public.asu.edu\/~jundongl\/\">Jundong Li<\/a>, Liang Wu, Osmar R. Za\u00efane and Huan Liu. &#8220;Toward Personalized Relational Learning&#8221;,&nbsp; SIAM International Conference on Data Mining (<a href=\"http:\/\/www.siam.org\/meetings\/sdm17\/\">SDM17<\/a>), April 27-29, 2017. Houston, Texas.&nbsp;<a href=\"http:\/\/www.public.asu.edu\/~jundongl\/paper\/SDM17_Personalized.pdf\">pdf<\/a><\/li>\n\n\n\n<li><a href=\"https:\/\/faculty.ist.psu.edu\/szw494\/\">Suhang Wang<\/a>, Yilin Wang, Jiliang Tang, Kai Shu, Suhas Ranganath, and Huan Liu. &#8220;Exploiting Visual Contents for Point-of-Interest Recommendation&#8221;,&nbsp; The 26th International World Wide Web Conference (<a href=\"http:\/\/www.www2017.com.au\/\">WWW17<\/a>), April 3-7, 2017. Perth, Australia. pdf<\/li>\n\n\n\n<li>Robert P. Trevino, Philippe Faucon, Thomas J. Lamkin, Steve A. Kawamoto, Ross Smith and Huan Liu. &#8220;Non-parametric Quality Assessment of High-Content Screening Assays&#8221;, the 9h International Conference on Bioinformatics and Computational Biology (<a href=\"http:\/\/sce.uhcl.edu\/bicob17\/\">BICOB2017<\/a>), March 20-22, 2017. Honolulu, HI.&nbsp;<strong>(nominated for Best Paper Award)<\/strong><\/li>\n\n\n\n<li>Yilin Wang, Suhang Wang, Jiliang Tang, Guojun Qi, Huan Liu, and Baoxin Li. &#8220;CLARE: A Joint Approach to Label Classification and Tag Recommendation&#8221;, The Thirty First AAAI Conference (<a href=\"http:\/\/www.aaai.org\/Conferences\/AAAI\/aaai17.php\">AAAI2017<\/a>) February 4-9, 2017. San Francisco, CA.&nbsp;<a href=\"https:\/\/www.public.asu.edu\/%7Ehuanliu\/papers\/aaai2017YilinWang.pdf\">pdf<\/a><\/li>\n\n\n\n<li>Kewei Cheng,&nbsp;<a href=\"http:\/\/www.public.asu.edu\/~jundongl\/\">Jundong Li<\/a>, Jiliang Tang, and Huan Liu. &#8220;Unsupervised Sentiment Analysis with Signed Social Networks&#8221;, The Thirty First AAAI Conference (AAAI<a href=\"http:\/\/www.aaai.org\/Conferences\/AAAI\/aaai17.php\">2017<\/a>) February 4-9, 2017. San Francisco, CA.&nbsp;<a href=\"https:\/\/www.public.asu.edu\/%7Ehuanliu\/papers\/AAAI2017.pdf\">pdf<\/a>&nbsp;[225]<\/li>\n<\/ul>\n\n\n\n<p><strong>2016<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><a href=\"http:\/\/www.public.asu.edu\/~jundongl\/\">Jundong Li<\/a>, Xia Hu, Ling Jian, and Huan Liu. &#8220;Toward Time-Evolving Feature Selection on Dynamic Networks&#8221;, In Proceedings of IEEE International Conference on Data Mining (<a href=\"http:\/\/icdm2016.eurecat.org\/\">ICDM2016<\/a>), short paper, December 13-15, 2016. Barcelona, Spain.&nbsp;<a href=\"http:\/\/www.public.asu.edu\/~jundongl\/paper\/ICDM16_TeFS.pdf\">pdf<\/a><\/li>\n\n\n\n<li>Guansong Pang, Longbing Cao, Ling Chen, and Huan Liu. &#8220;Unsupervised Feature Selection for Outlier Detection by Modelling Hierarchical Value-Feature Couplings&#8221;, In Proceedings of IEEE International Conference on Data Mining (<a href=\"http:\/\/icdm2016.eurecat.org\/\">ICDM2016<\/a>), December 13-15, 2016. Barcelona, Spain.&nbsp;<a href=\"https:\/\/docs.google.com\/viewer?a=v&amp;pid=sites&amp;srcid=ZGVmYXVsdGRvbWFpbnxnc3BhbmdzaXRlfGd4OjE5NDllMGU0NDk2Y2VhZDU\">pdf<\/a><\/li>\n\n\n\n<li>Justin Sampson, Fred Morstatter, Liang Wu and Huan Liu. &#8220;Leveraging the Implicit Structure within Social Media for Emergent Rumor Detection&#8221;, short paper,&nbsp;ACM International Conference of Information and Knowledge Management (<a href=\"http:\/\/cikm2016.org\/\">CIKM2016<\/a>), October 24-28, 2016. Indianapolis, Indiana.&nbsp;<a href=\"https:\/\/www.public.asu.edu\/%7Ehuanliu\/papers\/cikm16sampson.pdf\">pdf<\/a><\/li>\n\n\n\n<li><a href=\"http:\/\/www.public.asu.edu\/~swang187\">Suhang Wang<\/a>, Jiliang Tang, Fred Morstatter and Huan Liu. &#8220;Paired Restricted Boltzmann Machine for Linked Data&#8221;, ACM International Conference of Information and Knowledge Management (<a href=\"http:\/\/cikm2016.org\/\">CIKM2016<\/a>), October 24-28, 2016. Indianapolis, Indiana.&nbsp;<a href=\"http:\/\/www.public.asu.edu\/~swang187\/publications\/pRBM.pdf\">pdf<\/a><\/li>\n\n\n\n<li><a href=\"http:\/\/www.public.asu.edu\/~swang187\">Suhang&nbsp;Wang<\/a>, Jiliang Tang, Charu Aggarwal and Huan Liu. &#8220;Linked Document Embedding for Classification&#8221;, ACM International Conference of Information and Knowledge Management (<a href=\"http:\/\/cikm2016.org\/\">CIKM2016<\/a>), October 24-28, 2016. Indianapolis, Indiana.&nbsp;<a href=\"http:\/\/www.public.asu.edu\/~swang187\/publications\/LDE.pdf\">pdf&nbsp;<\/a>[220]<\/li>\n\n\n\n<li>Kewei Cheng, Jundong Li and Huan Liu. &#8220;FeatureMiner: A Tool for Interactive Feature Selection&#8221;,&nbsp;<a href=\"http:\/\/featureselection.asu.edu\/featureminer.php\">demo<\/a>&nbsp;paper, ACM International Conference of Information and Knowledge Management (<a href=\"http:\/\/cikm2016.org\/\">CIKM2016<\/a>), October 24-28, 2016. Indianapolis, Indiana.&nbsp;<a href=\"http:\/\/www.public.asu.edu\/~jundongl\/paper\/CIKM16_demo.pdf\">pdf<\/a><\/li>\n\n\n\n<li><a href=\"http:\/\/www.fredmorstatter.com\/\">Fred&nbsp;Morstatter<\/a>, Liang Wu, Tahora H. Nazer, Kathleen M. Carley, and Huan Liu. &#8220;A New Approach to Bot Detection: Striking the Balance Between Precision and Recall&#8221;, IEEE\/ACM International Conference on Advances in Social Network Analysis and Mining (<a href=\"http:\/\/asonam.cpsc.ucalgary.ca\/2016\/\">ASONAM2016<\/a>), August 18-21, San Francisco, CA.&nbsp;<a href=\"http:\/\/www.public.asu.edu\/~fmorstat\/paperpdfs\/asonam16.pdf\">pdf<\/a><\/li>\n\n\n\n<li><a href=\"http:\/\/www.public.asu.edu\/~fmorstat\/\">Fred&nbsp;Morstatter<\/a>&nbsp;and Huan Liu. &#8220;A Novel Measure for Coherence in Statistical Topic Models&#8221;, short paper, Association of Computational Linguistics (<a href=\"http:\/\/acl2016.org\/\">ACL<\/a>), August 7 &#8211; 12, 2016. Berlin, Germany.&nbsp;<a href=\"http:\/\/www.public.asu.edu\/~fmorstat\/paperpdfs\/acl_2016.pdf\">pdf<\/a><\/li>\n\n\n\n<li><a href=\"http:\/\/www.escience.cn\/people\/jianling\/index.html\">Ling Jian<\/a>,&nbsp;<a href=\"http:\/\/www.public.asu.edu\/~jundongl\/\">Jundong Li<\/a>, Kai Shu, and Huan Liu. &#8220;Multi-Label Informed Feature Selection&#8221;, In Proceedings of 25th International Joint Conference on Artificial Intelligence (<a href=\"http:\/\/ijcai-16.org\/\">IJCAI<\/a>), July 9-15, 2016. New York.&nbsp;<a href=\"http:\/\/www.public.asu.edu\/~jundongl\/paper\/IJCAI16_MIFS.pdf\">pdf<\/a><\/li>\n\n\n\n<li><a href=\"http:\/\/yilinwang.org\/\">Yilin&nbsp;Wang<\/a>, Suhang&nbsp;Wang, Jiliang Tang, Huan Liu and Baoxin Li. &#8220;PPP: Joint Pointwise and Pairwise Image Label Prediction&#8221;,&nbsp;&nbsp;<a href=\"http:\/\/cvpr2016.thecvf.com\/\">CVPR2016<\/a>, June 27-30, 2016. Las Vegas, Nevada.&nbsp;&nbsp;<a href=\"http:\/\/yilinwang.org\/papers\/PID4160349.pdf\">pdf<\/a>&nbsp;[215]<\/li>\n\n\n\n<li><a href=\"http:\/\/www.public.asu.edu\/~gbeigi\/\">Ghazaleh Beigi<\/a>, Jiliang Tang and Huan Liu. &#8220;Signed Link Analysis in Social Media Networks&#8221;,&nbsp; poster paper, The 10th International AAAI Conference on Weblogs and Social Media (<a href=\"http:\/\/www.icwsm.org\/2016\/index.php\">ICWSM2016<\/a>), May 17 &#8211; 20, 2016. Cologne, Germany.&nbsp;<a href=\"http:\/\/www.public.asu.edu\/~gbeigi\/files\/BeigiSignedLink.pdf\">pdf<\/a><\/li>\n\n\n\n<li><a href=\"http:\/\/www.public.asu.edu\/~srangan8\">Suhas Ranganth<\/a>, Xia Hu, Jiliang Tang, Suhang Wang and Huan Liu. &#8220;Understanding and Identifying Rhetorical Questions in Social Media&#8221;, poster paper, The 10th International AAAI Conference on Weblogs and Social Media (<a href=\"http:\/\/www.icwsm.org\/2016\/index.php\">ICWSM2016<\/a>), May 17 &#8211; 20, 2016. Cologne, Germany.&nbsp;<a href=\"http:\/\/www.public.asu.edu\/~srangan8\/resources\/pub\/ICWSM_2016.pdf\">pdf<\/a><\/li>\n\n\n\n<li>Isaac Jones, Ran Wang, Jiawei Han and Huan Liu.&#8220;Community Cores: Removing Size Bias From Community Detection&#8221;, poster paper, The 10th International AAAI Conference on Weblogs and Social Media (<a href=\"http:\/\/www.icwsm.org\/2016\/index.php\">ICWSM2016<\/a>), May 17 &#8211; 20, 2016. Cologne, Germany.&nbsp;<a href=\"https:\/\/www.public.asu.edu\/%7Ehuanliu\/papers\/CommCoreICWSM16.pdf\">pdf<\/a><\/li>\n\n\n\n<li>Pritam Gundecha, Jiliang Tang, Xia Hu and Huan Liu. &#8220;Exploring Personal Attributes from Unprotected Interactions&#8221;, poster paper, The 10th International AAAI Conference on Weblogs and Social Media (<a href=\"http:\/\/www.icwsm.org\/2016\/index.php\">ICWSM2016<\/a>), May 17 &#8211; 20, 2016. Cologne, Germany.&nbsp;<a href=\"https:\/\/www.public.asu.edu\/%7Ehuanliu\/papers\/PersonalAttICWSM16.pdf\">pdf<\/a><\/li>\n\n\n\n<li>Jinxue&nbsp;Zhang, Xia Hu,&nbsp;Yanchao&nbsp;Zhang&nbsp;and Huan Liu. &#8220;Your Age Is No Secret: Inferring Microbloggers&#8217; Ages via Content and Interaction Analysis&#8221;, The 10th International AAAI Conference on Weblogs and Social Media (<a href=\"http:\/\/www.icwsm.org\/2016\/index.php\">ICWSM2016<\/a>), May 17 &#8211; 20, 2016. Cologne, Germany.&nbsp;<a href=\"https:\/\/www.public.asu.edu\/%7Ehuanliu\/papers\/AgeEstICWSM16.pdf\">pdf<\/a>&nbsp;[210]<\/li>\n\n\n\n<li><a href=\"http:\/\/www.public.asu.edu\/~gbeigi\/\">Ghazaleh Beigi<\/a>, Jiliang Tang, Suhang Wang, and Huan Liu. &#8220;Exploiting Emotional Information for Trust\/Distrust Prediction&#8221;. SIAM International Conference on Data Mining (<a href=\"http:\/\/www.siam.org\/meetings\/sdm16\/\">SDM16<\/a>),&nbsp; May 5-7, 2016. Miami, Florida.&nbsp;<a href=\"http:\/\/www.public.asu.edu\/~gbeigi\/files\/BeigiEmotional.pdf\">pdf<\/a><\/li>\n\n\n\n<li><a href=\"http:\/\/www.jiliang.xyz\/\">Jiliang Tang<\/a>, Charu&nbsp;Aggarwal,&nbsp;and Huan Liu. &#8220;Node Classification in Signed Social Networks &#8220;. SIAM International Conference on Data Mining (<a href=\"http:\/\/www.siam.org\/meetings\/sdm16\/\">SDM16<\/a>),&nbsp; May 5-7, 2016. Miami, Florida.&nbsp;<a href=\"http:\/\/www.jiliang.xyz\/publication\/classification_in_signed_social_network.pdf\">pdf<\/a><\/li>\n\n\n\n<li><a href=\"http:\/\/www.public.asu.edu\/~jundongl\/\">Jundong Li<\/a>, Xia Hu, Liang Wu, and Huan Liu. &#8220;Robust Unsupervised Feature Selection on Networked Data&#8221;. SIAM International Conference on Data Mining (<a href=\"http:\/\/www.siam.org\/meetings\/sdm16\/\">SDM16<\/a>),&nbsp; May 5-7, 2016. Miami, Florida.<a href=\"http:\/\/www.public.asu.edu\/~jundongl\/paper\/SDM16_NetFS.pdf\">&nbsp;pdf<\/a><\/li>\n\n\n\n<li><a href=\"http:\/\/www.public.asu.edu\/~fmorstat\/\">Fred&nbsp;Morstatter<\/a>, Harsh Dani, Justin Sampson and Huan Liu. &#8220;Can One Tamper with the Sample API? -Toward Neutralizing Bias from Spam and Bot Content&#8221;.&nbsp;<strong>Best WWW2016 Poster<\/strong>. The 25th International World Wide Web Conference (<a href=\"http:\/\/www2016.ca\/\">WWW16<\/a>), April 11 &#8211; 15, 2016. Montreal, Canada.&nbsp;<a href=\"http:\/\/www.public.asu.edu\/~fmorstat\/paperpdfs\/www2016.pdf\">pdf<\/a><\/li>\n\n\n\n<li>Jiliang Tang, Charu&nbsp;Aggarwal,&nbsp;and Huan Liu. &#8220;Recommendation with Signed Social Networks&#8221;. The 25th International World Wide Web Conference (<a href=\"http:\/\/www2016.ca\/\">WWW16<\/a>), April 11 &#8211; 15, 2016. Montreal, Canada.&nbsp;<a href=\"http:\/\/www.jiliang.xyz\/publication\/Recommendation-Signed-Networks.pdf\">pdf<\/a>&nbsp;[205]<\/li>\n\n\n\n<li><a href=\"http:\/\/www.public.asu.edu\/~liangwu1\/\">Liang Wu<\/a>, Xia Hu, and Huan Liu. &#8220;Relational Learning with Social Status Analysis&#8221;. ACM International Conference on Web Search and Data Mining (<a href=\"http:\/\/www.wsdm-conference.org\/2016\/\">WSDM2016<\/a>), February 22-25, 2016. San Francisco, CA.&nbsp;<a href=\"http:\/\/www.public.asu.edu\/~liangwu1\/srl.pdf\">pdf<\/a><\/li>\n\n\n\n<li><a href=\"http:\/\/www.public.asu.edu\/~srangan8\">Suhas Ranganath<\/a>, Xia Hu, Jiliang Tang, and Huan Liu. &#8220;Understanding and Identifying Advocates of Political Campaigns on Social Media&#8221;. ACM International Conference on Web Search and Data Mining (<a href=\"http:\/\/www.wsdm-conference.org\/2016\/\">WSDM2016<\/a>), February 22-25, 2016. San Francisco, CA.&nbsp;<a href=\"http:\/\/www.public.asu.edu\/~srangan8\/resources\/pub\/WSDM_2016.pdf\">pdf<\/a><\/li>\n\n\n\n<li><a href=\"http:\/\/www.jiliang.xyz\/\">Jiliang Tang<\/a>, SuhangWang, Xia Hu, Dawei Yin, Yingzhou Bi, Yi Chang,&nbsp; and Huan Liu. &#8220;Recommendation with Social Dimensions&#8221;, The Thirtieth AAAI Conference (<a href=\"http:\/\/www.aaai.org\/Conferences\/AAAI\/aaai16.php\">AAAI2016),<\/a>&nbsp;February 12-17, 2016. Phoenix, Arizona. pdf<\/li>\n\n\n\n<li><a href=\"http:\/\/www.public.asu.edu\/~srangan8\">Suhas Ranganath<\/a>, Fred Morstatter, Xia Hu, Jiliang Tang, Suhang Wang, and Huan Liu. &#8220;Predicting Online Protest Participation of Social Media Users&#8221;, The Thirtieth AAAI Conference (AAAI<a href=\"http:\/\/www.aaai.org\/Conferences\/AAAI\/aaai16.php\">2016),<\/a>&nbsp;February 12-17, 2016. Phoenix, Arizona.&nbsp;<a href=\"http:\/\/www.public.asu.edu\/~srangan8\/resources\/pub\/AAAI_2016.pdf\">pdf<\/a><\/li>\n<\/ul>\n\n\n\n<p><strong>2015<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><a href=\"http:\/\/www.public.asu.edu\/~srangan8\">Suhas Ranganth<\/a>, Suhang Wang, Xia Hu, Jiliang Tang, and Huan Liu.&#8220;Finding Time-Critical Replies for Information Seeking in Social Media&#8221;. In Proceedings of IEEE International Conference on Data Mining (<a href=\"http:\/\/icdm2015.stonybrook.edu\/\">ICDM2015<\/a>), November 14 &#8211; 17, 2015. Atlantic City, NJ.&nbsp;<a href=\"http:\/\/www.public.asu.edu\/~srangan8\/resources\/pub\/ICDM_2015.pdf\">pdf<\/a>&nbsp;[200]<\/li>\n\n\n\n<li>Justin Sampson,&nbsp; Fred Morstatter, Reza Zafarani, and Huan Liu. &#8220;<a href=\"http:\/\/dl.acm.org\/citation.cfm?id=2919544\">Real-time Crisis Mapping using Language Distributions<\/a>&#8220;. Demo. In Proceedings of IEEE International Conference on Data Mining (<a href=\"http:\/\/icdm2015.stonybrook.edu\/\">ICDM2015<\/a>), November 14 &#8211; 17, 2015. Atlantic City, NJ. pdf<\/li>\n\n\n\n<li>Harsh Dani, Fred Morstatter, Xia Hu, Zhen Yang, and Huan Liu. &#8220;Social Answer:&nbsp; A System for Finding Appropriate Sites for Questions in Social Media&#8221;. Demo. In Proceedings of IEEE International Conference on Data Mining (<a href=\"http:\/\/icdm2015.stonybrook.edu\/\">ICDM2015<\/a>), November 14 &#8211; 17, 2015. Atlantic City, NJ. pdf<\/li>\n\n\n\n<li>Robert P. Trevino, Steve A. Kawamoto, Thomas J. Lamkin, and Huan Liu. &#8220;Cell Analytics in Compound Hit Selection of Bacterial Inhibitors&#8221;. In Proceedings of IEEE International Conference on Big Data (<a href=\"http:\/\/cci.drexel.edu\/bigdata\/bigdata2015\/\">IEEE BigData 2015<\/a>), October 29 &#8211; November 1, 2015. Santa Clara, CA.&nbsp; pdf<\/li>\n\n\n\n<li>Yunzhong Liu, Yi Chen, Jiliang Tang, and Huan Liu. &#8220;Context-Aware Expeience Extraction from Online Health Forums&#8221;. IEEE International Conference on Healthcare Informatics (<a href=\"http:\/\/cs.utdallas.edu\/ichi2015\/\">ICHI2015<\/a>), October 21-23, 2015. Dallas Texas.&nbsp;<a href=\"https:\/\/www.public.asu.edu\/%7Ehuanliu\/papers\/ICHI15.pdf\">pdf<\/a><\/li>\n\n\n\n<li><a href=\"http:\/\/dmml.asu.edu\/users\/reza\/\">Reza Zafarani<\/a>&nbsp;and Huan Liu. &#8220;10 Bits of Surprise: Detecting Malicious Users with Minimum Information&#8221;.&nbsp;ACM International Conference of Information and Knowledge Management (<a href=\"http:\/\/www.cikm-2015.org\/\">CIKM2015<\/a>), October 19-23, 2015. Melbourne, Australia.&nbsp;<a href=\"http:\/\/reza.zafarani.net\/publications\/files\/10Bits.pdf\">pdf<\/a>&nbsp;[195]<\/li>\n\n\n\n<li><a href=\"http:\/\/www.public.asu.edu\/~jundongl\/\">Jundong Li<\/a>, Jiliang Tang, Xia Hu, and Huan Liu.&nbsp;&#8220;Unsupervised Streaming Feature Selection in Social Media&#8221;. ACM International Conference of Information and Knowledge Management (<a href=\"http:\/\/www.cikm-2015.org\/\">CIKM2015<\/a>), October 19-23, 2015. Melbourne, Australia.&nbsp;<a href=\"http:\/\/www.public.asu.edu\/~jundongl\/paper\/CIKM15_USFS.pdf\">pdf<\/a><\/li>\n\n\n\n<li><a href=\"http:\/\/www.public.asu.edu\/~swang187\">Suhang Wang<\/a>, Jiliang Tang, and Huan Liu. &#8220;Toward Dual Roles of Users in Recommender Systems&#8221;.&nbsp;ACM International Conference of Information and Knowledge Management (<a href=\"http:\/\/www.cikm-2015.org\/\">CIKM2015<\/a>), October 19-23, 2015. Melbourne, Australia.&nbsp;<a href=\"http:\/\/www.public.asu.edu\/~swang187\/publications\/DualRec.pdf\">pdf<\/a><\/li>\n\n\n\n<li><a href=\"http:\/\/www.public.asu.edu\/~fmorstat\/\">Fred Morstatter<\/a>, J\u00fcrgen Pfeffer, Katja Mayer and Huan Liu. &#8220;Text, Topics, and Turkers: Evaluation of Statistical Topics&#8221;, the 26th ACM Conference on Hypertext and Social Media (<a href=\"http:\/\/ht.acm.org\/ht2015\/\">Hypertext2015<\/a>), September 1-4, 2015. Cyprus.&nbsp;<a href=\"http:\/\/www.public.asu.edu\/~fmorstat\/paperpdfs\/ht2015_morstatter.pdf\">pdf<\/a><\/li>\n\n\n\n<li>Justin Sampson, Fred Morstatter, Ross Maciejewski and Huan Liu. &#8220;Surpassing the Limit: Keyword Clustering to Improve Twitter Sample Coverage&#8221;, the 26th ACM Conference on Hypertext and Social Media (<a href=\"http:\/\/ht.acm.org\/ht2015\/\">Hypertext2015<\/a>), September 1-4, 2015. Cyprus. pdf<\/li>\n\n\n\n<li>Shamanth Kumar, Huan Liu, Sameep Mehta, and L. Venkata Subramaniam. &#8220;Exploring a Scalable Solution to Identifying Events in Noisy Twitter Streams&#8221;, short paper, IEEE\/ACM International Conference on Advances in Social Network Analysis and Mining (<a href=\"http:\/\/asonam.cpsc.ucalgary.ca\/2015\/\">ASONAM2015<\/a>), August 25-28, 2015, Paris, France.&nbsp;<a href=\"http:\/\/www.public.asu.edu\/~huanliu\/papers\/ASONAM15Kumar.pdf\">pdf<\/a>&nbsp;[190]<\/li>\n\n\n\n<li>Zhen Yang, Isaac Jones, Xia Hu, and Huan Liu. &#8220;Finding the Right Social Media Site for Questions&#8221;, short paper, IEEE\/ACM International Conference on Advances in Social Network Analysis and Mining (<a href=\"http:\/\/asonam.cpsc.ucalgary.ca\/2015\/\">ASONAM2015<\/a>), August 25-28, 2015, Paris, France. pdf<\/li>\n\n\n\n<li>Wei Wei, Kenneth Joseph, Huan Liu, and Kathleen Carley. &#8220;The Fragility of Twitter Social Networks Against Suspended Users&#8221;. IEEE\/ACM International Conference on Advances in Social Network Analysis and Mining (<a href=\"http:\/\/asonam.cpsc.ucalgary.ca\/2015\/\">ASONAM2015<\/a>), August 25-28, 2015, Paris, France. pdf<\/li>\n\n\n\n<li><a href=\"http:\/\/www.public.asu.edu\/~swang187\">Suhang Wang<\/a>, Jiliang Tang, Yilin Wang, and Huan Liu. &#8220;Exploring Implicit Hierarchical Structures for Recommender Systems&#8221;, the Proceedings of&nbsp;<a href=\"http:\/\/ijcai15.org\/\">IJCAI 2015<\/a>, July 25 &#8211; 31, 2015. Buenos Aires, Argentina.&nbsp;<a href=\"http:\/\/www.public.asu.edu\/~swang187\/publications\/HSR.pdf\">pdf<\/a><\/li>\n\n\n\n<li>Yilin Wang, Suhang Wang, Jiliang Tang, Huan Liu, and Baoxin Li. &#8220;<a href=\"http:\/\/yilinwang.org\/projects\/senti\/senti.html\">Unsupervised Sentiment Analysis for Social Media Image<\/a>s&#8221;, the Proceedings of&nbsp;<a href=\"http:\/\/ijcai15.org\/\">IJCAI 2015<\/a>, July 25 &#8211; 31, 2015. Buenos Aires, Argentina.&nbsp;<a href=\"http:\/\/yilinwang.org\/papers\/Paper158_UESA.pdf\">pdf<\/a><\/li>\n\n\n\n<li><a href=\"http:\/\/www.cse.msu.edu\/~tangjili\/\">Jiliang Tang<\/a>, Chikashi Nobata, Anlei Dong, Yi Chang, and Huan Liu. &#8220;Propagation-based Sentiment Analysis for Microblogging Data&#8221;, SIAM International Conference on Data Mining (<a href=\"http:\/\/www.siam.org\/meetings\/sdm15\/\">SDM15<\/a>),&nbsp; April 30 &#8211; May 2, 2015. Vancouver, British Columbia, Canada. pdf&nbsp; [185]<\/li>\n\n\n\n<li>Yu Cheng, Ankit Agrawal, Alok Choudhary, and Huan Liu. &#8220;Legislative Prediction with Dual Uncertainty Minimization from Heterogeneous Information &#8220;, SIAM International Conference on Data Mining (<a href=\"http:\/\/www.siam.org\/meetings\/sdm15\/\">SDM15<\/a>),&nbsp; April 30 &#8211; May 2, 2015. Vancouver, British Columbia, Canada.<\/li>\n\n\n\n<li><a href=\"http:\/\/www.cse.msu.edu\/~tangjili\/\">Jiliang Tang<\/a>, Shiyu Chang, Charu Aggarwal, and Huan Liu. &#8220;Negative Link Prediction in Social Media&#8221;. ACM International Conference on Web Search and Data Mining (<a href=\"http:\/\/www.wsdm-conference.org\/2015\/\">WSDM2015<\/a>), February 2-6, 2015. Shanghai, China.&nbsp;<a href=\"http:\/\/www.cse.msu.edu\/~tangjili\/publication\/negative_link_prediction.pdf\">pdf<\/a><\/li>\n\n\n\n<li>Ashwin Rajadesingan,&nbsp;<a href=\"http:\/\/dmml.asu.edu\/users\/reza\/\">Reza Zafarani<\/a>&nbsp;and Huan Liu.&nbsp;&#8220;Sarcasm Detection on Twitter: A Behavioral Modeling Approach&#8221;. ACM International Conference on Web Search and Data Mining (<a href=\"http:\/\/www.wsdm-conference.org\/2015\/\">WSDM2015<\/a>), February 2-6, 2015. Shanghai, China.&nbsp;<a href=\"http:\/\/dmml.asu.edu\/users\/reza\/publications\/files\/SarcasmDetection.pdf\">pdf<\/a><\/li>\n\n\n\n<li><a href=\"http:\/\/www.public.asu.edu\/~srangan8\/\">Suhas Ranganath<\/a>, Jiliang Tang, Xia Hu, Hari Sundaram and Huan Liu. &#8220;Leveraging Social Foci for Information Seeking in Social Media&#8221;. The 29th AAAI Conference on Artificial Intelligence (<a href=\"http:\/\/www.aaai.org\/Conferences\/AAAI\/aaai15.php\">AAAI2015<\/a>), Januray 25- 30, 2015. Austin, TX.&nbsp;<a href=\"http:\/\/www.public.asu.edu\/~srangan8\/resources\/pub\/AAAI_2015.pdf\">pdf<\/a><\/li>\n\n\n\n<li><a href=\"http:\/\/www.public.asu.edu\/~hgao16\/\">Huiji Gao<\/a>, Jiliang Tang, Xia Hu and Huan Liu. &#8220;Content-Aware Point of Interest Recommendation on Location-Based Social Networks&#8221;. The 29th AAAI Conference on Artificial Intelligence (AAAI<a href=\"http:\/\/www.aaai.org\/Conferences\/AAAI\/aaai15.php\">2015<\/a>), January 25- 30, 2015. Austin, TX.&nbsp;<a href=\"http:\/\/www.public.asu.edu\/~hgao16\/papers\/AAAI_2015_Huiji.pdf\">pdf<\/a>&nbsp;[180]<\/li>\n\n\n\n<li><a href=\"http:\/\/www.public.asu.edu\/~swang187\">Suhang Wang<\/a>, Jiliang Tang, and Huan Liu. &#8220;Embedded Unsupervised Feature Selection&#8221;. The 29th AAAI Conference on Artificial Intelligence (AAAI<a href=\"http:\/\/www.aaai.org\/Conferences\/AAAI\/aaai15.php\">2015<\/a>), January 25- 30, 2015. Austin, TX.&nbsp;<a href=\"http:\/\/www.public.asu.edu\/~swang187\/publications\/EUFS.pdf\">pdf<\/a><\/li>\n<\/ul>\n\n\n\n<p><strong>2014<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><a href=\"http:\/\/www.public.asu.edu\/~xiahu\">Xia Hu<\/a>, Jiliang Tang, Huiji Gao, and Huan Liu. &#8220;Social Spammer Detection with Sentiment Information&#8221;. In Proceedings of the IEEE International Conference on Data Mining (<a href=\"http:\/\/icdm2014.sfu.ca\/home.html\">ICDM 2014<\/a>). December 14-17, 2014. Shenzhen, China.&nbsp;<a href=\"http:\/\/www.public.asu.edu\/~xiahu\/papers\/Hu-etal14c.pdf\">pdf<\/a><\/li>\n\n\n\n<li><a href=\"https:\/\/sites.google.com\/site\/chengyu05\/publications\">Yu Cheng<\/a>, Alok Choudhary, Ankit Agrawal, Huan Liu, and Tao Zhang. &#8220;Social Role Identification via Dual Role Uncertainty Minimization&#8221;, In Proceedings of the IEEE International Conference on Data Mining (<a href=\"http:\/\/icdm2014.sfu.ca\/home.html\">ICDM 2014<\/a>). December 14-17, 2014. Shenzhen, China.<\/li>\n\n\n\n<li>Xinxin Zhao, HuijiGao, Lingjun Li, Huan Liu, and Guoliang Xue. \u201cAn Efficient Privacy Preserving Location Based Service System\u201d, IEEE&nbsp;<a href=\"http:\/\/www.ieee-globecom.org\/2014\/\">GLOBECOM2014<\/a>&nbsp;&#8211; Communication and Information System Security Symposium, December 8-12, 2014. Austin, TX.<\/li>\n\n\n\n<li><a href=\"http:\/\/www.cse.msu.edu\/~tangjili\/\">Jiliang Tang<\/a>, Xia Hu, Yi Chang, and Huan Liu. &#8220;Predictability of Distrust with Interaction Data&#8221;, ACM International Conference of Information and Knowledge Management (<a href=\"http:\/\/cikm2014.fudan.edu.cn\/\">CIKM2014<\/a>), November 3-7, 2014. Shanghai, China.&nbsp;<a href=\"http:\/\/www.cse.msu.edu\/~tangjili\/publication\/km0131-tang.pdf\">pdf<\/a>&nbsp;[175]<\/li>\n\n\n\n<li><a href=\"http:\/\/www.public.asu.edu\/~fmorstat\/\">Fred Morstatter<\/a>, Shamanth Kumar, Joshua Stiefer, Justin Sampson, Daniel Howe, Grant Marshall, David Kahn, Terrance Williams, Wesley Bowman, and Huan Liu. &#8220;CrisisTracker: Connecting First Responders to Twitter Analysis&#8221;, IEEE Global Humanitarian Technology Conference (<a href=\"http:\/\/www.ieeeghtc.org\/\">GHTC<\/a>), poster, October 10 &#8211; 13, 2014. Silicon Valley\/San Jose, CA.<\/li>\n\n\n\n<li><a href=\"http:\/\/www.cse.msu.edu\/~tangjili\/\">Jiliang Tang<\/a>, Xia Hu, and Huan Liu. &#8220;Is Distrust the Negation of Trust? The Value of Distrust in Social Media&#8221;, 25th ACM Conference on Hypertext and Social Media (<a href=\"http:\/\/ht.acm.org\/ht2014\/\">Hypertext2014<\/a>), 1\u20134 Sep 2014, Santiago, Chile.&nbsp;<a href=\"http:\/\/www.cse.msu.edu\/~tangjili\/publication\/ValueofDistrust.pdf\">pdf<\/a><\/li>\n\n\n\n<li><a href=\"http:\/\/www.public.asu.edu\/~skumar34\/\">Shamanth Kumar<\/a>, Xia Hu, and Huan Liu. &#8220;A Behavior Analytics Approach to Identifying Tweets from Crisis Regions&#8221;, short paper, 25th ACM Conference on Hypertext and Social Media (<a href=\"http:\/\/ht.acm.org\/ht2014\/\">Hypertext2014<\/a>), 1\u20134 Sep 2014, Santiago, Chile.&nbsp;<a href=\"http:\/\/www.public.asu.edu\/~skumar34\/papers\/HT2014.pdf\">pdf<\/a><\/li>\n\n\n\n<li><a href=\"http:\/\/www.public.asu.edu\/~mabbasi2\/\">Mohammad Ali Abbasi<\/a>, Jiliang Tang, and Huan Liu. &#8220;Scalable Learning of Users&#8217; Preferences Using Networked Data&#8221;, 25th ACM Conference on Hypertext and Social Media (<a href=\"http:\/\/ht.acm.org\/ht2014\/\">Hypertext2014<\/a>), 1\u20134 Sep 2014, Santiago, Chile.&nbsp;<a href=\"http:\/\/www.public.asu.edu\/~mabbasi2\/papers\/HT14-LSocDim.pdf\">pdf<\/a>&nbsp;[170]<\/li>\n\n\n\n<li>Mohammad Ali Abbasi, Reza Zafarani and Huan Liu. &#8220; Am I More Similar to My Followers or Followees? Homophily Effect in Directed Online Social Networks&#8221;, short paper, 25th ACM Conference on Hypertext and Social Media (<a href=\"http:\/\/ht.acm.org\/ht2014\/\">HT2014<\/a>), 1\u20134 Sep 2014, Santiago, Chile.&nbsp;<a href=\"http:\/\/www.public.asu.edu\/~mabbasi2\/papers\/HT14-Homophily.pdf\">pdf<\/a><\/li>\n\n\n\n<li><a href=\"http:\/\/www.public.asu.edu\/~xiahu\/\">Xia Hu<\/a>, Jiliang Tang, and Huan Liu. &#8220;Online Social Spammer Detection&#8221;. The 28th AAAI&nbsp;Conference on Artificial Intelligence (2014). July 27-31, 2014. Quebec City, Quebec, Canada.&nbsp;<a href=\"http:\/\/www.public.asu.edu\/~xiahu\/papers\/aaai2014.pdf\">pdf<\/a><\/li>\n\n\n\n<li>Xia Hu, Jiliang Tang, and Huan Liu. &#8220;Leveraging Knowledge across Media for Spammer Detection in Microblogging&#8221;.&nbsp;In Proceedings of the 37th Annual ACM SIGIR Conference (SIGIR 2014).&nbsp;July 6-11, 2014. Gold Coast, Australia.&nbsp;<a href=\"http:\/\/www.public.asu.edu\/~xiahu\/papers\/sigir2014.pdf\">pdf<\/a><\/li>\n\n\n\n<li><a href=\"http:\/\/dmml.asu.edu\/users\/reza\/\">Reza Zafarani&nbsp;<\/a>and Huan Liu. &#8220;Users Joining Multiple Sites: Distributions and Patterns&#8221;, poster. The Eighth International AAAI Conference on Weblogs and Social Media (<a href=\"http:\/\/www.icwsm.org\/2014\/\">ICWSM 2014<\/a>) , June 2-4, 20114. Ann Arbor, MI.&nbsp;<a href=\"http:\/\/dmml.asu.edu\/users\/reza\/publications\/files\/14-joining.pdf\">pdf<\/a><\/li>\n\n\n\n<li><a href=\"http:\/\/www.public.asu.edu\/~fmorstat\">Fred Morstatter<\/a>, Jurgen Pfeffer, and Huan Liu. &#8220;When is it Biased? Assessing the Representativeness of Twitter&#8217;s Streaming API&#8221;, poster paper, The 23rd International World Wide Web Conference,<a href=\"https:\/\/www.public.asu.edu\/%7Ehuanliu\/www2014.wwwconference.org\">&nbsp;WWW2014<\/a>&nbsp;Web Science Track. April 10-11, 2014. Seoul, Korea.&nbsp;<a href=\"http:\/\/www.public.asu.edu\/~fmorstat\/paperpdfs\/www2014.pdf\">pdf<\/a>&nbsp;[165]<\/li>\n\n\n\n<li><a href=\"http:\/\/www.cse.msu.edu\/~tangjili\/\">Jiliang Tang<\/a>&nbsp;and Huan Liu. &#8220;Discriminant Analysis for Unsupervised Feature Selection&#8221;, SIAM International Conference on Data Mining (<a href=\"http:\/\/www.siam.org\/meetings\/sdm14\/\">SDM14<\/a>),&nbsp; April 24 -26, 2014. poster presentation. Philadelphia, Pennsylvania.&nbsp;<a href=\"http:\/\/www.cse.msu.edu\/~tangjili\/publication\/DisUFS.pdf\">pdf<\/a><\/li>\n\n\n\n<li><a href=\"http:\/\/dmml.asu.edu\/users\/reza\/\">Reza Zafarani<\/a>&nbsp;and Huan Liu. &#8220;Finding Friends on a New Site Using Minimum Information&#8221;, SIAM International Conference on Data Mining (<a href=\"http:\/\/www.siam.org\/meetings\/sdm14\/\">SDM14<\/a>),&nbsp; April 24 -26, 2014. poster presentation. Philadelphia, Pennsylvania.&nbsp;<a href=\"https:\/\/www.public.asu.edu\/%7Ehuanliu\/papers\/sdm14rz.pdf\">pdf<\/a><\/li>\n\n\n\n<li>Ashwin Rajadesingan and Huan Liu. &#8220;Identifying Users with Opposing Opinions in Twitter Debates&#8221;, International Conference on Social Computing, Behavioral-Cultural Modeling, and Prediction (SBP14), April 2-5, 2014. Washington, D.C.&nbsp;<a href=\"http:\/\/www.public.asu.edu\/~huanliu\/papers\/sbp14.pdf\">pdf<\/a><\/li>\n<\/ul>\n\n\n\n<p><strong>2013<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><a href=\"http:\/\/www.public.asu.edu\/~hgao16\/\">Huiji Gao<\/a>, Jiliang Tang, Xia Hu, and Huan Liu. &#8220;Modeling Temporal Effects of Human Mobile Behavior on Location-Based Social Networks&#8221;, ACM International Conference of Information and Knowledge Management (<a href=\"http:\/\/www.cikm2013.org\/\">CIKM2013<\/a>), short paper, October 27 &#8211; November 1, 2013. San Francisco, CA.&nbsp;<a href=\"http:\/\/www.public.asu.edu\/~hgao16\/papers\/CIKM_2013_Huiji.pdf\">pdf<\/a><\/li>\n\n\n\n<li><a href=\"http:\/\/www.public.asu.edu\/~pgundech\/\">Pritam Gundecha<\/a>, Feng Zhuo, and Huan Liu. &#8220;Seeking Provenance of Information in Social Media&#8221;,&nbsp;ACM International Conference of Information and Knowledge Management (<a href=\"http:\/\/www.cikm2013.org\/\">CIKM2013<\/a>), short paper, October 27 &#8211; November 1, 2013. San Francisco, CA.&nbsp;<a href=\"http:\/\/www.public.asu.edu\/~pgundech\/\/papers\/pritamCIKM13a.pdf\">pdf<\/a>&nbsp;[160]<\/li>\n\n\n\n<li>Suhas Ranganath, Pritam Gundecha, and Huan Liu. &#8220;A Tool for Assisting Provenance Search in Social Media&#8221;, Demo,&nbsp;ACM International Conference of Information and Knowledge Management (<a href=\"http:\/\/www.cikm2013.org\/\">CIKM2013<\/a>), October 27 &#8211; November 1, 2013. San Francisco, CA.&nbsp;pdf<\/li>\n\n\n\n<li>Huiji Gao, Jiliang Tang, Xia Hu, and Huan Liu. &#8220;Exploring Temporal Effects for Location Recommendation on Location-Based Social Networks&#8221;, the ACM Conference Series on Recommender Systems (<a href=\"http:\/\/recsys.acm.org\/recsys13\/\">RecSys2013<\/a>), October 12-16, 2013. Hong Kong, China.&nbsp;<a href=\"http:\/\/www.public.asu.edu\/~hgao16\/papers\/RecSys_2013_Huiji.pdf\">pdf<\/a><\/li>\n\n\n\n<li><a href=\"http:\/\/www.cse.msu.edu\/~tangjili\/\">Jiliang Tang<\/a>, Huiji Gao, Xia Hu, and Huan Liu. &#8220;Context-Aware Review Helpfulness Rating Prediction&#8221;, the ACM Conference Series on Recommender Systems (<a href=\"http:\/\/recsys.acm.org\/recsys13\/\">RecSys2013<\/a>), October 12-16, 2013. Hong Kong, China.&nbsp;<a href=\"https:\/\/www.public.asu.edu\/%7Ehuanliu\/papers\/recsys13-jtang.pdf\">pdf<\/a><\/li>\n\n\n\n<li>Huiji Gao, Xufei Wang, Jiliang Tang, and Huan Liu. &#8220;Network Denoising in Social Media&#8221;, the 2013 IEEE\/ACM International Conference on Advances in Social Network Analysis and Mining (<a href=\"http:\/\/asonam.cpsc.ucalgary.ca\/\">ASONAM2013<\/a>), August 25-28, 2013. Niagara Falls, Canada.&nbsp;<a href=\"http:\/\/www.public.asu.edu\/~hgao16\/papers\/asonam13_gao.pdf\">pdf<\/a><\/li>\n\n\n\n<li>Zhuo Feng, Pritam Gundecha, and Huan Liu. &#8220;Recovering Information Recipients in Social Media via Provenance&#8221; the 2013 IEEE\/ACM International Conference on Advances in Social Network Analysis and Mining (<a href=\"http:\/\/asonam.cpsc.ucalgary.ca\/\">ASONAM2013<\/a>), short paper, August 25-28, 2013. Niagara Falls, Canada.&nbsp;<a href=\"http:\/\/www.public.asu.edu\/~pgundech\/papers\/pritamASONAM13.pdf\">pdf<\/a>&nbsp; [155]<\/li>\n\n\n\n<li>Reza Zafarani and Huan Liu. &#8220;Connecting Users across Social Media Sites: A Behavioral-Modeling Approach&#8221;, oral presentation, the Nineteenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (<a href=\"http:\/\/www.kdd.org\/kdd2013\/\">KDD&#8217;2013<\/a>), August 11 &#8211; 14, 2013. Chicago, Illinois.&nbsp;<a href=\"https:\/\/www.public.asu.edu\/%7Ehuanliu\/papers\/kdd2013.pdf\">pdf<\/a>&nbsp;<a href=\"http:\/\/videolectures.net\/kdd2013_zafarani_behavioral_modeling\/\">video lecture<\/a><\/li>\n\n\n\n<li><a href=\"http:\/\/www.public.asu.edu\/~fmorstat\/\">Fred Morstatter<\/a>, Shamanth Kumar, Huan Liu and Ross Maciejewski. &#8220;Understanding Twitter Data with TweetXplorer&#8221;, Demo, the Nineteenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (<a href=\"http:\/\/www.kdd.org\/kdd2013\/\">KDD&#8217;2013<\/a>), August 11 &#8211; 14, 2013. Chicago, Illinois.&nbsp;<a href=\"https:\/\/www.public.asu.edu\/%7Ehuanliu\/papers\/kdd2013demoFM.pdf\">pdf<\/a><\/li>\n\n\n\n<li>Pritam Gundecha, Suhas Ranganath, Zhuo Feng and Huan Liu. &#8220;A Tool for Collecting Provenance Data in Social Media&#8221;,&nbsp;Demo, the Nineteenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (<a href=\"http:\/\/www.kdd.org\/kdd2013\/\">KDD&#8217;2013<\/a>), August 11 &#8211; 14, 2013. Chicago, Illinois.&nbsp;<a href=\"http:\/\/www.public.asu.edu\/~pgundech\/papers\/pritamKDD13.pdf\">pdf<\/a><\/li>\n\n\n\n<li><a href=\"http:\/\/www.public.asu.edu\/~xiahu\/\">Xia Hu<\/a>, Jiliang Tang, Yanchao Zhang, and Huan Liu. &#8220;Social Spammer Detection in Microblogging&#8221;, the Proceedings of&nbsp;<a href=\"http:\/\/ijcai13.org\/\">IJCAI 2013<\/a>, August 3-9, 2013. Beijing, China.&nbsp;<a href=\"http:\/\/www.public.asu.edu\/~xiahu\/papers\/ijcai13Hu.pdf\">pdf<\/a><\/li>\n\n\n\n<li><a href=\"http:\/\/www.cse.msu.edu\/~tangjili\/\">Jiliang Tang<\/a>, Huiji Gao, Xia Hu, and Huan Liu. &#8220;Exploiting Local and Global Social Context for Recommendation&#8221;,&nbsp;the Proceedings of&nbsp;<a href=\"http:\/\/ijcai13.org\/\">IJCAI 2013<\/a>, August 3-9, 2013. Beijing, China.&nbsp;<a href=\"http:\/\/www.cse.msu.edu\/~tangjili\/publication\/globalandlocal.pdf\">pdf<\/a>&nbsp;[150]<\/li>\n\n\n\n<li><a href=\"http:\/\/www.public.asu.edu\/~fmorstat\/\">Fred Morstatte<\/a>r, J\u00fcrgen Pfeffer, Huan Liu and Kathleen Carley. &#8220;Is the Sample Good Enough? Comparing Data from Twitter&#8217;s Streaming API with Twitter&#8217;s Firehose&#8221;, &nbsp;the Seventh International AAAI Conference on Weblogs and Social Media (<a href=\"http:\/\/www.icwsm.org\/2013\/\">ICWSM 2013<\/a>) , July 8-10, 20113. Boston, MA.&nbsp;<a href=\"https:\/\/www.public.asu.edu\/%7Ehuanliu\/papers\/icwsm13.pdf\">pdf<\/a>,&nbsp;<a href=\"http:\/\/crowdresearch.org\/blog\/?p=6596\">blog post<\/a><\/li>\n\n\n\n<li>Xia Hu, Jiliang Tang, Huiji Gao and Huan Liu. &#8220;Unsupervised Sentiment Analysis with Emotional Signals&#8221;, the 22nd International World Wide Web Conference (<a href=\"http:\/\/www2013.org\/\">WWW2013<\/a>). May 13 &#8211; 17, 2013. Rio de Janeiro, Brazil.&nbsp;<a href=\"http:\/\/www.public.asu.edu\/~xiahu\/papers\/www13.pdf\">pdf<\/a><\/li>\n\n\n\n<li><a href=\"http:\/\/www.cse.msu.edu\/~tangjili\/\">Jiliang Tang<\/a>,&nbsp;Xia Hu, Huiji Gao, and Huan Liu. &#8220;Unsupervised Feature Selection for Multi-View Data in Social Media&#8221;, the 13th SIAM International Conference on Data Mining (<a href=\"http:\/\/www.siam.org\/meetings\/sdm13\/\">SDM 2013<\/a>). May 2-4, 2013. Austin, Texas.&nbsp;<a href=\"http:\/\/www.cse.msu.edu\/~tangjili\/publication\/multiviewfs.pdf\">pdf<\/a><\/li>\n\n\n\n<li><a href=\"http:\/\/www.cse.msu.edu\/~tangjili\/\">Jiliang Tang<\/a>&nbsp;and Huan Liu. &#8220;CoSelect: Feature Selection with Instance Selection for Social Media Data&#8221;, the 13th SIAM International Conference on Data Mining (<a href=\"http:\/\/www.siam.org\/meetings\/sdm13\/\">SDM 2013<\/a>). May 2-4, 2013. Austin, Texas.&nbsp;<a href=\"http:\/\/www.cse.msu.edu\/~tangjili\/publication\/coselect.pdf\">pdf<\/a><\/li>\n\n\n\n<li>Xia Hu, Jiliang Tang, Huiji Gao, and Huan Liu. &#8220;ActNeT: Active Learning for Networked Texts in Microblogging&#8221;, the 13th SIAM International Conference on Data Mining&nbsp;<a href=\"http:\/\/www.siam.org\/meetings\/sdm13\/\">(SDM 2013<\/a>). May 2-4, 2013. Austin, Texas.<a href=\"http:\/\/www.public.asu.edu\/~xiahu\/papers\/sdm13Hu.pdf\">&nbsp;pdf<\/a>&nbsp;[145]<\/li>\n\n\n\n<li><a href=\"http:\/\/www.public.asu.edu\/~skumar34\/\">Shamanth Kumar<\/a>, Fred Morstatter, Reza Zafarani, and Huan Liu. &#8220;Whom Should I Follow? Identifying Relevant Users in a Crisis&#8221;, the 24th ACM Conference on Hypertext and Social Media (<a href=\"http:\/\/ht.acm.org\/ht2013\/\">HT2013<\/a>), 1\u20133 May 2013, Paris, France.&nbsp;<a href=\"https:\/\/www.public.asu.edu\/%7Ehuanliu\/papers\/ht2013.pdf\">pdf<\/a>&nbsp;&nbsp;<a href=\"http:\/\/www.newscientist.com\/blogs\/onepercent\/2013\/03\/twitter-arab-spring-tweeter.html\">New Scientist<\/a><\/li>\n\n\n\n<li><a href=\"http:\/\/www.public.asu.edu\/~mabbasi2\/\">Mohammad Ali Abbasi<\/a>&nbsp;and Huan Liu. &#8220;Measuring User Credibility in Social Media&#8221;, poster paper, International Conference on Social Computing, Behavioral-Cultural Modeling, and Prediction (<a href=\"http:\/\/sbp2013.org\/\">SBP13<\/a>), April 2-5, 2013. Washington, D.C.&nbsp;<a href=\"http:\/\/www.public.asu.edu\/~mabbasi2\/papers\/2013-sbp13-credibility\/sbp13-credibility.pdf\">pdf<\/a><\/li>\n\n\n\n<li><a href=\"http:\/\/www.public.asu.edu\/~xiahu\/\">Xia Hu<\/a>,&nbsp;<a href=\"http:\/\/leitang.net\/\">Lei Tang<\/a>, Jiliang Tang, and Huan Liu. &#8220;Exploiting Social Relations for Sentiment Analysis in Microblogging&#8221;, the Sixth ACM International Conference on Web Search and Data Mining (<a href=\"http:\/\/wsdm2013.org\/\">WSDM2013<\/a>).&nbsp;<strong><em>Best Paper Shortlist<\/em><\/strong>. February 4-8, 2013. Rome, Italy.&nbsp;<a href=\"http:\/\/www.public.asu.edu\/~xiahu\/papers\/wsdm13Hu.pdf\">pdf<\/a><\/li>\n\n\n\n<li><a href=\"http:\/\/www.cse.msu.edu\/~tangjili\/\">Jiliang Tang<\/a>, Huiji Gao, Xia Hu, and Huan Liu. &#8220;Exploiting Homophily Effect for Trust Prediction&#8221;, the Sixth ACM International Conference on Web Search and Data Mining (<a href=\"http:\/\/wsdm2013.org\/\">WSDM2013<\/a>). February 4-8, 2013. Rome, Italy.&nbsp;<a href=\"http:\/\/www.cse.msu.edu\/~tangjili\/publication\/hTrust.pdf\">pdf<\/a>.<\/li>\n<\/ul>\n\n\n\n<p><strong>2012<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><a href=\"http:\/\/www.public.asu.edu\/~salelyan\">Salem Alelyani<\/a>&nbsp;and Huan Liu.&#8221;Supervised Low Rank Matrix Approximation for Stable Feature Selection&#8221;. In the 11th International Conference on Machine Learning and Applications. December,&nbsp; 2012. Boca Raton, Florida.&nbsp;<a href=\"http:\/\/www.public.asu.edu\/~salelyan\/MyPub\/ICMLA12_SLRMA.pdf\">pdf<\/a>&nbsp; [140]<\/li>\n\n\n\n<li><a href=\"http:\/\/www.nini2yoyo.com\/\">Huiji Gao<\/a>, Jiliang Tang, and Huan Liu. &#8221; gSCorr: Modeling Geo-Social Correlations for New Check-ins on Location-Based Social Networks&#8221;, the 21st ACM Conference on Information and Knowledge Management (<a href=\"http:\/\/www.cikm2012.org\/\">CIKM2012<\/a>), short paper, October 29 &#8211; November 2, 2012. Maui, Hawaii.&nbsp;<a href=\"http:\/\/www.public.asu.edu\/~hgao16\/papers\/sp171-gao.pdf\">pdf<\/a>.<\/li>\n\n\n\n<li>Shamanth Kumar, Fred Morstatter, Grant Marshall, Huan Liu, and Ullas Nambiar. &#8220;Navigating Information Facets on Twitter (NIF-T)&#8221;, Demo, the Eighteenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (<a href=\"http:\/\/kdd2012.sigkdd.org\/\">KDD2012<\/a>), Beijing, August 12-16, 2012. pdf,&nbsp;<a href=\"http:\/\/youtu.be\/Dd7o-hIx0nc\">video clip<\/a><\/li>\n\n\n\n<li><a href=\"http:\/\/www.cse.msu.edu\/~tangjili\/\">Jiliang Tang<\/a>, Huiji Gao, Huan Liu, and Artish Das Sarma. &#8220;eTrust: Understanding Trust Evolution in an Online World,&#8221; the Eighteenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (<a href=\"http:\/\/kdd2012.sigkdd.org\/\">KDD2012<\/a>, Beijing, August 12-16, 2012).&nbsp;<a href=\"http:\/\/www.cse.msu.edu\/~tangjili\/publication\/trustEvolution.pdf\">pdf&nbsp;<\/a>,&nbsp;<a href=\"http:\/\/www.youtube.com\/watch?v=O-NQUeSHvl0&amp;feature=youtu.be\">video clip<\/a><\/li>\n\n\n\n<li><a href=\"http:\/\/www.cse.msu.edu\/~tangjili\/\">Jiliang Tang<\/a>&nbsp;and Huan Liu. &#8220;Unsupervised Feature Selection for Linked Social Media Data&#8221;, the Eighteenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (<a href=\"http:\/\/kdd2012.sigkdd.org\/\">KDD2012<\/a>), Beijing, August 12-16, 2012.&nbsp;<a href=\"http:\/\/www.cse.msu.edu\/~tangjili\/publication\/LinkedinFS.pdf\">pdf,&nbsp;<\/a>&nbsp;<a href=\"http:\/\/www.youtube.com\/watch?v=sLS0_A3bSLg&amp;feature=youtu.be\">video clip<\/a><\/li>\n\n\n\n<li>Guanfeng Liu,&nbsp;<a href=\"http:\/\/comp.mq.edu.au\/~yanwang\/\">Yan Wang,<\/a>&nbsp;Mehmet A. Orgun and Huan Liu,&nbsp;Discovering Trust Networks for the Selection of Trustworthy Service Providers in Complex Contextual Social Networks,&nbsp;IEEE 9th International Conference on Web Services (IEEE ICWS 2012), June 24-29, Honolulu, Hawaii, USA.&nbsp;<a href=\"http:\/\/comp.mq.edu.au\/~yanwang\/Guanfeng_ICWS2012_final.pdf\">pdf<\/a>&nbsp;[135]<\/li>\n\n\n\n<li>Huiji Gao, Jiliang Tang, and Huan Liu. &#8220;Exploring Social-Historical Ties on Location-Based Social Networks&#8221;, the Sixth International AAAI Conference on Weblogs and Social Media (<a href=\"http:\/\/www.icwsm.org\/2012\/\">ICWSM2012<\/a>), Dublin, Ireland. June 4-6, 2012.&nbsp;<a href=\"http:\/\/www.public.asu.edu\/~hgao16\/papers\/icwsm2012SocialHistoricalTies.pdf\">pdf.<\/a><\/li>\n\n\n\n<li>Xia Hu and Huan Liu. &#8220;Social Status and Role Analysis of Palin&#8217;s Email Network&#8221;, International Conference on World Wide Web<a href=\"http:\/\/www2012.wwwconference.org\/\">&nbsp;WWW2012<\/a>,&nbsp;<a href=\"http:\/\/www.public.asu.edu\/~xiahu\/papers\/www12_poster.pdf\">poster<\/a>, Lyon, France. April 16-20, 2012.&nbsp;<a href=\"http:\/\/www.public.asu.edu\/~xiahu\/papers\/www12.pdf\">pdf<\/a><\/li>\n\n\n\n<li>Jiliang Tang and Huan Liu. &#8220;Feature Selection with Linked Data in Social Media&#8221;, the 12th SIAM International Conference on Data Mining (<a href=\"http:\/\/www.siam.org\/meetings\/sdm12\/\">SDM2012<\/a>), April 26-28, 2012. Anaheim, California.&nbsp;<a href=\"http:\/\/www.cse.msu.edu\/~tangjili\/publication\/feature%20selection%20with%20linked%20data%20in%20social%20media.pdf\">pdf<\/a><\/li>\n\n\n\n<li>Mohammad-Ali Abbasi, Sun-Ki Chai, Huan Liu, and Kiran Sagoo. &#8220;Real-World Behavior Analysis through a Social Media Lens&#8221;, International Conference on Social Computing, Behavioral-Cultural Modeling, and Prediction (<a href=\"http:\/\/www.umiacs.umd.edu\/conferences\/sbp2012\/\">SBP12<\/a>), April 3-5, 2012. College Park, MD.&nbsp;<strong>Best Student Paper Award (Runner Up)<\/strong>.&nbsp;<a href=\"https:\/\/www.public.asu.edu\/%7Ehuanliu\/papers\/SBP12Lens.pdf\">pdf&nbsp;<\/a>[130]<\/li>\n\n\n\n<li>Mohammad-Ali Abbasi, Shamanth Kumar, Jose Augusto Andrade Filhoe, and Huan Liu. &#8220;Lessons Learned in Using Social Media for Disaster Relief &#8211; ASU Crisis Response Game&#8221;, International Conference on Social Computing, Behavioral-Cultural Modeling, and Prediction (<a href=\"http:\/\/www.umiacs.umd.edu\/conferences\/sbp2012\/\">SBP12<\/a>),&nbsp;<a href=\"http:\/\/www.public.asu.edu\/~mabbasi2\/papers\/SBP12Game_poster.pdf\">poster<\/a>, April 3-5, 2012. College Park, MD.&nbsp;<a href=\"https:\/\/www.public.asu.edu\/%7Ehuanliu\/papers\/SBP12Game.pdf\">pdf<\/a><\/li>\n\n\n\n<li>Jiliang Tang, Huiji Gao, and Huan Liu. &#8220;mTrust: Discerning Multi-Faceted Trust in a Connected World&#8221;, the 5th ACM International Conference on Web Search and Data Mining (<a href=\"http:\/\/wsdm2012.org\/\">WSDM 2012<\/a>), February 8-12, 2012. Seattle, Washington.&nbsp;<a href=\"https:\/\/www.public.asu.edu\/%7Ehuanliu\/papers\/wsdm12.pdf\">pdf<\/a><\/li>\n<\/ul>\n\n\n\n<p><strong>2011<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Xufei Wang, Jiliang Tang, and Huan Liu. &#8220;Document Clustering via Matrix Representation&#8221;, the 11th IEEE International Conference on Data Mining&nbsp; (<a href=\"http:\/\/icdm2011.cs.ualberta.ca\/\">ICDM2011<\/a>), December 11 &#8211; 14, 2011. Vancouver, Canada.&nbsp;<a href=\"https:\/\/www.public.asu.edu\/%7Ehuanliu\/papers\/icdm11.pdf\">pdf<\/a><\/li>\n\n\n\n<li>Salem Alelyani, Lei Wang, and Huan Liu. &#8220;The Effect of the Characteristics of the Dataset on the Selection Stability&#8221;, the 23rd IEEE International Conference on Tools with Artificial Intelligence (<a href=\"http:\/\/www.cse.fau.edu\/ictai2011\/\">ICTAI2011<\/a>), November 7 &#8211; 9, 2011. Boca Raton, Florida.&nbsp;<a href=\"http:\/\/www.public.asu.edu\/~salelyan\/MyPub\/4596a970_Florida_2011_I.pdf\">pdf<\/a><\/li>\n\n\n\n<li>Jose&nbsp;Augusto&nbsp;Andrade Filho, Andre Carlos Ponce De Leon Ferreira Carvalho, Rodrigo Fernandes Mello, Salem Alelyani and Huan Liu. &#8220;Quantifying Features Using False Nearest Neighbors: An Unsupervised Approach&#8221;, the 23rd IEEE International Conference on Tools with Artificial Intelligence (<a href=\"http:\/\/www.cse.fau.edu\/ictai2011\/\">ICTAI2011<\/a>), November 7 &#8211; 9, 2011. Boca Raton, Florida.&nbsp;<a href=\"http:\/\/www.public.asu.edu\/~salelyan\/MyPub\/4596a994_Florida_2011_II.pdf\">pdf&nbsp;<\/a>[125]<\/li>\n\n\n\n<li>Xia Hu, Lei Tang, and Huan Liu. &#8220;Enhancing Accessibility of Microblogging Messages Using Semantic Knowledge&#8221;, the 20th ACM Conference on Information and Knowledge Management (<a href=\"http:\/\/www.cikm2011.org\/\">CIKM2011<\/a>), poster paper, October 24-28, 2011. Glasgow, UK.&nbsp;<a href=\"https:\/\/www.public.asu.edu\/%7Ehuanliu\/papers\/cikm11Hu.pdf\">pdf<\/a><\/li>\n\n\n\n<li>Xufei Wang, Huan Liu, and Wei Fan. &#8220;Connecting Users with Similar Interests via Tag Network Inference&#8221;, the 20th ACM Conference on Information and Knowledge Management (<a href=\"http:\/\/www.cikm2011.org\/\">CIKM2011)<\/a>, short paper, October 24-28, 2011. Glasgow, UK.&nbsp;<a href=\"https:\/\/www.public.asu.edu\/%7Ehuanliu\/papers\/cikm11Wang.pdf\">pdf<\/a><\/li>\n\n\n\n<li>Pritam Gundecha, Geoffrey Barbier, and Huan Liu. &#8220;Exploiting Vulnerability to Secure User Privacy on a Social Networking Site&#8221;, the 17th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (<a href=\"http:\/\/www.sigkdd.org\/kdd2011\/\">KDD 2011<\/a>), August 21-24, 2011, San Diego, CA.&nbsp;<a href=\"https:\/\/www.public.asu.edu\/%7Ehuanliu\/papers\/kdd11.pdf\">pdf<\/a><\/li>\n\n\n\n<li>Shamanth Kumar, Reza Zafarani, and Huan Liu. &#8220;Understanding User Migration Patterns in Social Media &#8220;, the special track on AI and the Web (AIW) at the Twenty-Fifth&nbsp;AAAI&nbsp;Conference on Artificial Intelligence (<a href=\"http:\/\/www.aaai.org\/Conferences\/AAAI\/\">2011<\/a>). August 7 &#8211; 11, 2011, in San Francisco, CA.&nbsp;<a href=\"https:\/\/www.public.asu.edu\/%7Ehuanliu\/papers\/aaai11.pdf\">pdf<\/a><\/li>\n\n\n\n<li><a href=\"http:\/\/www.public.asu.edu\/~skumar34\/index.html\">Shamanth Kumar<\/a>, Geoffrey Barbier, Mohammad Ali Abbasi, and&nbsp;Huan Liu. &#8220;TweetTracker: An Analysis Tool for Humanitarian and Disaster Relief, &#8221; Demo, 5th International AAAI Conference on Weblogs and Social Media&nbsp;<a href=\"http:\/\/www.icwsm.org\/2011\/index.php\">(ICWSM-11)<\/a>, July 17-21, 2011. Barcelona, Spain.<\/li>\n\n\n\n<li>Anirudh Kondaveeti, George Runger, Huan Liu and Jeremy Rowe. &#8220;Extracting Geographic Knowledge from Sensor Intervention Data Using Spatial Association Rules&#8221;, the First IEEE International Conference on Spatial Data Mining and Geographical Knowledge Services (<a href=\"http:\/\/www.icsdm2011.org\/\">ICSDM 2011<\/a>), June 28 &#8211; July 1, Fuzhou, China. [120]<\/li>\n\n\n\n<li>Gabriel Pui Cheong Fung, Fred Morstatter, and Huan Liu. &#8220;Feature Selection Strategy in Text Classification&#8221;, The 15th Pacific-Asia Conference on Knowledge Discovery and Data Mining (<a href=\"http:\/\/pakdd2011.pakdd.org\/\">PAKDD 2011<\/a>), May 24-27, 2011, Shenzhen, China.<\/li>\n\n\n\n<li>Huiji Gao, Xufei Wang, Geoffrey Barbier, and Huan Liu. Promoting Coordination for Disaster Relief &#8211; From Crowdsourcing to Coordination.&nbsp;<a href=\"http:\/\/www.informatik.uni-trier.de\/~ley\/db\/conf\/sbp\/sbp2011.html#GaoWBL11\">SBP 2011<\/a>: 197-204<\/li>\n\n\n\n<li>Geoffrey Barbier, and Huan Liu. Information Provenance in Social Media.&nbsp;<a href=\"http:\/\/www.informatik.uni-trier.de\/~ley\/db\/conf\/sbp\/sbp2011.html#BarbierL11\">SBP 2011<\/a>: 276-283<\/li>\n<\/ul>\n\n\n\n<p><strong>2010 and earlier<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Xufei Wang, Lei Tang, Huiji Gao, and Huan Liu. Discovering Overlapping Groups in Social Media. In Proceedings of the 10th IEEE International Conference on Data Mining (ICDM&#8217;10), 2010.<\/li>\n\n\n\n<li>M. Dash and H. Liu, &#8220;Feature Selection for Clustering&#8221;, pp 110 &#8212; 121, PAKDD 2000,&nbsp;Kyoto,&nbsp;Japan. April, 2000. Springer. ( &#8220;<strong>the Most Influential Paper<\/strong>&#8221; award at PAKDD 2010, 10 years after its publication at PAKDD 2000)&nbsp;<a href=\"http:\/\/www.public.asu.edu\/%7Ehuanliu\/papers\/pakdd00clu.ps\">postscript<\/a>.<\/li>\n\n\n\n<li><a href=\"https:\/\/sites.google.com\/site\/alanzhao\/Home\">Zheng Zhao<\/a>, Lei Wang, and Huan Liu. &#8220;Efficient Spectral Feature Selection with Minimum Redundancy&#8221;. In Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence, Atlanta, Georgia, USA, July 11\u201315, 2010.&nbsp;<a href=\"https:\/\/www.public.asu.edu\/%7Ehuanliu\/papers\/aaai10.pdf\">pdf<\/a><\/li>\n\n\n\n<li><a href=\"https:\/\/sites.google.com\/site\/alanzhao\/Home\">Zheng Zhao<\/a>, Jiangxin Wang, Shashvata Sharma, Nitin Agarwal, Huan Liu, and Yung Chang. &#8220;An Integrative Approach to Identifying Biologically Relevant Genes&#8221;, SIAM International Conference on Data Mining (SDM&#8217;10), Columbus, Ohio. April 29 &#8211; May 1, 2010. [115]&nbsp;<a href=\"https:\/\/www.public.asu.edu\/%7Ehuanliu\/papers\/sdm10.pdf\">pdf<\/a><\/li>\n\n\n\n<li>Lei Tang, Geoffrey Barbier, Huan Liu and Jianping Zhang. &#8220;A Social Network Analysis Approach to Detecting Suspicious Online Financial Activities&#8221;. In Proceedings of International Conference on Social Computing, Behavioral Modeling and Prediction (SBP\u201910), pages 390-397, March 29 &#8211; April 1, 2010.<a href=\"http:\/\/www.springerlink.com\/content\/h903228641116225\/\">pdf<\/a><\/li>\n\n\n\n<li>Shamanth Kumar, Reza Zafarani, Mohammad Ali Abbasi, Geoffrey Barbier, Huan Liu. &#8220;Convergence of Influential Bloggers for Topic Discovery in the Blogosphere&#8221;. In Proceedings of International Conference on Social Computing, Behavioral Modeling and Prediction (SBP&#8217;10), pages 406-412, March 29 &#8211; April 1, 2010.&nbsp;<a href=\"http:\/\/www.springerlink.com\/content\/b8700t8606350x04\/\">pdf<\/a><\/li>\n\n\n\n<li>Reza Zafarani, William D. Cole, Huan Liu. Sentiment Propagation in Social Networks: A Case Study in Live<\/li>\n\n\n\n<li>. In Proceedings of International Conference on Social Computing, Behavioral Modeling and Prediction (SBP&#8217;10), pages 413-420, March 29 &#8211; April 1, 2010.&nbsp;<a href=\"http:\/\/www.springerlink.com\/content\/ug45k33x277r7632\">pdf<\/a><\/li>\n\n\n\n<li>Zheng Zhao, Jiangxin Wang, Huan Liu, Yun Chang. &#8220;Biological relevance Detection via Network Dynamic Analysis&#8221;, 2nd International Conference on Bioinformatics and Computational Biology (BICoB), Honolulu, Hawaii. March 24 &#8211; 26, 2010.&nbsp;&nbsp;<a href=\"https:\/\/www.public.asu.edu\/%7Ehuanliu\/papers\/bicob10.pdf\">pdf<\/a>&nbsp;<strong>&nbsp;Best Paper Award<\/strong><\/li>\n\n\n\n<li><a href=\"http:\/\/ualr.edu\/nxagarwal\/Homepage\/Welcome.html\">Nitin Agarwal<\/a>, Huan Liu, Shankara Subramanya, John Salerno, and Philip Yu. &#8220;Connecting Sparsely Distributed Similar Bloggers&#8221;,&nbsp;ICDM&#8217;09, Dec, 2009.&nbsp;<a href=\"https:\/\/www.public.asu.edu\/%7Ehuanliu\/papers\/icdm09a.pdf\">pdf<\/a>&nbsp;[110]<\/li>\n\n\n\n<li>Lei&nbsp;Tang, Xufei Wang, and Huan Liu. &#8220;Uncovering Groups via Heterogeneous Interaction Analysis&#8221;,&nbsp;ICDM&#8217;09, Dec, 2009.&nbsp;<a href=\"https:\/\/www.public.asu.edu\/%7Ehuanliu\/papers\/icdm09t.pdf\">pdf<\/a><\/li>\n\n\n\n<li><a href=\"http:\/\/leitang.net\/\">Lei Tang<\/a>&nbsp;and Huan Liu. &#8220;Scalable Learning of Collective Behavior based on Sparse Social Dimensions&#8221;, The 18th ACM Conference on Information and Knowledge Management (<a href=\"http:\/\/www.comp.polyu.edu.hk\/conference\/cikm2009\/about\/\">CIKM&#8217;09<\/a>), Hong Kong, Nov. 2-6, 2009.&nbsp;<a href=\"https:\/\/www.public.asu.edu\/%7Ehuanliu\/papers\/cikm09.pdf\">pdf<\/a><\/li>\n\n\n\n<li>Sai T. Moturu, Jian Yang, and Huan Liu. &#8220;Quantifying Utility and Trustworthiness for Advice Shared on Online Social Media&#8221;, Symposium on Social Intelligence and Networking, IEEE International Conference on Social Computing (SocialCom&#8217;09), Vancouver, Canada, Aug 29-31, 2009.&nbsp;<a href=\"https:\/\/www.public.asu.edu\/%7Ehuanliu\/papers\/socialcom09.pdf\">pdf<\/a><\/li>\n\n\n\n<li>Sai T. Moturu and Huan Liu, &#8220;Evaluating the Trustworthiness of Wikipedia Articles through Quality and Credibility&#8221;, The 5th International Symposium on Wikis and Open Collaboration, Florida, Oct 25-27, 2009.&nbsp;<a href=\"https:\/\/www.public.asu.edu\/%7Ehuanliu\/papers\/wikisym09.pdf\">pdf<\/a><\/li>\n\n\n\n<li>Z. Zhao, L. Sun, S. Yu, H. Liu, J. Ye. &#8220;Multiclass Probabilistic Kernel Discriminant Analysis&#8221;, IJCAI&#8217;09.&nbsp;<a href=\"http:\/\/ijcai.org\/papers09\/Papers\/IJCAI09-229.pdf\">pdf<\/a>&nbsp;[105]<\/li>\n\n\n\n<li><a href=\"http:\/\/leitang.net\/\">L. Tang<\/a>&nbsp;and H. Liu. &#8220;Relational Learning via Latent Social Dimension&#8221;,&nbsp;<a href=\"https:\/\/www.public.asu.edu\/%7Ehuanliu\/papers\/kdd09p.pdf\">Poster<\/a>&nbsp;Paper, The 15th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (<a href=\"http:\/\/www.sigkdd.org\/kdd2009\/\">KDD&#8217;09<\/a>), Paris, France, August 2009.&nbsp;<a href=\"https:\/\/www.public.asu.edu\/%7Ehuanliu\/papers\/kdd09.pdf\">pdf<\/a>&nbsp;<a href=\"http:\/\/leitang.net\/social_dimension.html\">data and code<\/a><\/li>\n\n\n\n<li><a href=\"http:\/\/ualr.edu\/nxagarwal\/Homepage\/Welcome.html\">N. Agarwal<\/a>, H. Liu, S. Murthy, A. Sen, X. Wang. &#8220;A Social Identity Approach to Identify Familiar Strangers in a Social Network&#8221;, Third International Conference on Weblogs and Social Media (<a href=\"http:\/\/www.icwsm.org\/2009\/index.shtml\">ICWSM09<\/a>), Full Paper, May 17 &#8211; 20, 2009, San Jose, California.&nbsp;<a href=\"https:\/\/www.public.asu.edu\/%7Ehuanliu\/papers\/icwsm09a.pdf\">pdf<\/a>,&nbsp;<a href=\"http:\/\/videolectures.net\/icwsm09_agarwal_siaifs\/\">video<\/a><\/li>\n\n\n\n<li><a href=\"http:\/\/ualr.edu\/nxagarwal\/Homepage\/Welcome.html\">Nitin Agarwal<\/a>, Shamanth Kumar, Huan Liu, Mark Woodward. &#8220;BlogTrackers: A Tool for Sociologists to Track and Analyze Blogosphere&#8221;, Third International Conference on Weblogs and Social Media (<a href=\"http:\/\/www.icwsm.org\/2009\/index.shtml\">ICWSM09<\/a>), Demo Paper, May 17 &#8211; 20, 2009, San Jose, California.&nbsp;<a href=\"https:\/\/www.public.asu.edu\/%7Ehuanliu\/papers\/icwsm09k.pdf\">pdf<\/a><\/li>\n\n\n\n<li>R. Zafarani, H. Liu. &#8220;Connecting Corresponding Identities across Communities&#8221;, Third International Conference on Weblogs and Social Media (<a href=\"http:\/\/www.icwsm.org\/2009\/index.shtml\">ICWSM09<\/a>), Poster Paper, May 17 &#8211; 20, 2009, San Jose, California.&nbsp;<a href=\"https:\/\/www.public.asu.edu\/%7Ehuanliu\/papers\/icwsm09z.pdf\">pdf<\/a><\/li>\n\n\n\n<li><a href=\"http:\/\/ualr.edu\/nxagarwal\/Homepage\/Welcome.html\">N. Agarwal<\/a>, H. Liu, J. Salerno, and S.&nbsp;Sundararajan. &#8220;Understanding Group Interaction in Blogosphere: A Case Study&#8221;, Second International Conference on Computational Cultural Dynamics (<a href=\"http:\/\/www.umiacs.umd.edu\/conferences\/icccd2008\/\">ICCCD08<\/a>), pp 9 &#8211; 17. September 15-16, 2008.University of Maryland, College Park, Maryland.&nbsp;<a href=\"https:\/\/www.public.asu.edu\/%7Ehuanliu\/papers\/icccd08.pdf\">pdf<\/a>. [100]<\/li>\n\n\n\n<li>L. Tang, H. Liu, J. Zhang, and Z. Nazeri. &#8220;Community Evolution in Dynamic Multi-Mode Networks&#8221;, KDD&#8217;08: 677 &#8211; 685.&nbsp;<a href=\"http:\/\/www.public.asu.edu\/~huanliu\/papers\/kdd08Tang.pdf\">pdf<\/a>.<\/li>\n\n\n\n<li>Z. Zhao, J. Wang, H. Liu, J. Ye, and Y. Chang. &#8220;Identifying Biologically Relevant Genes via Multiple Heterogeneous Data Sources&#8221;, KDD&#8217;08: 839 &#8211; 847.&nbsp;<a href=\"http:\/\/www.public.asu.edu\/~huanliu\/papers\/kdd08Zhao.pdf\">pdf<\/a>.<\/li>\n\n\n\n<li>S. T. Moturu, H. Liu, and W. Johnson. &#8220;Trust Evaluation in Health Information on the World Wide Web&#8221;, IEEE Engineering in Medicine and Biology Conference (EMBC &#8217;08), August 20 &#8211; 24, 2008. Vancouver, Canada.&nbsp;<a href=\"https:\/\/www.public.asu.edu\/%7Ehuanliu\/papers\/embc08.pdf\">pdf<\/a>.<\/li>\n\n\n\n<li>S. Subramanya, B. Li, and H. Liu. &#8220;Robust Integration of Multiple Information Sources by View Completion&#8221;&#8216;,&nbsp;IEEE&nbsp;International Conference on Information&nbsp;Reuse&nbsp;and Integration 2008 (<a href=\"http:\/\/iri2008.cpsc.ucalgary.ca\/\">IEEE&nbsp;IRI<\/a>), pp 398-403, July 13 -15, 2008. Las Vegas, Nevada.&nbsp;<a href=\"https:\/\/www.public.asu.edu\/%7Ehuanliu\/papers\/iri08.pdf\">pdf<\/a><\/li>\n\n\n\n<li>N. Agarwal, M. Galan, H. Liu, S. Subramanya. &#8220;Clustering Blogs with Collective Wisdom&#8221;, 8th International Conference on Web Engineering (<a href=\"http:\/\/icwe2008.webengineering.org\/\">ICWE08<\/a>), pp 336 &#8211; 339. July 14-18, 2008. Yorktown Heights, NY.&nbsp;<a href=\"https:\/\/www.public.asu.edu\/%7Ehuanliu\/papers\/icwe08.pdf\">pdf<\/a>&nbsp;(short paper). [95]<\/li>\n\n\n\n<li>W.K. Wong, D. W.L. Cheung, E. Hung, and H. Liu. &#8220;Protecting Privacy in Incremental Maintenance for Distributed Association Rule Mining&#8221;, Pacific Asia Conference on Knowledge Discovery and Data Mining (PAKDD), pp 381-392. May 22 &#8211; 23, 2008. Osaka, Japan.&nbsp;<a href=\"https:\/\/www.public.asu.edu\/%7Ehuanliu\/papers\/pakdd08.pdf\">pdf<\/a>.<\/li>\n\n\n\n<li>N. Agarwal, H. Liu, L. Tang, and P. Yu. &#8220;Identifying Influential Bloggers in a Community&#8221;, First International Conference on Web Search and Data Mining (<a href=\"http:\/\/videolectures.net\/wsdm08_stanford\/\">WSDM08<\/a>), pp 207-218, February 11-12. Stanford, California.&nbsp;<a href=\"https:\/\/www.public.asu.edu\/%7Ehuanliu\/papers\/wsdm08.pdf\">pdf<\/a>,&nbsp;<a href=\"http:\/\/videolectures.net\/wsdm08_agarwal_iib\/\">video available.<\/a><\/li>\n\n\n\n<li>S. Moturu, H. Liu, and W. Johnson. &#8220;Healthcare Risk Modeling for Medicaid Patients&#8221;, International Conference on Healthcare Informatics,&nbsp;<strong>Best Student Paper Award<\/strong>, pp 126-133. January 28-31, 2008. Madeira, Portugal.&nbsp;<a href=\"https:\/\/www.public.asu.edu\/%7Ehuanliu\/papers\/healthInfo08.pdf\">pdf<\/a>.<\/li>\n\n\n\n<li>S. Moturu, W. Johnson, and H. Liu. &#8220;Predicting Future High-Cost Patients: A Real-World Risk Modeling Application\u201d, IEEE International Conference on Bioinformatics and Biomedicine (IEEE BIBM 2007), pp 202-208. San Jose, CA, Nov 2-4, 2007.&nbsp;<a href=\"https:\/\/www.public.asu.edu\/%7Ehuanliu\/papers\/bibm07.pdf\">pdf<\/a>.<\/li>\n\n\n\n<li>N. Agarwal, H. Liu, J. Salerno, and P. Yu. &#8220;Searching for `Familiar Strangers\u2019 on Blogosphere: Problems and Challenges\u201d, NSF Symposium on Next-Generation Data Mining and Cyber-enabled Discovery and Innovation. October 10-12, Baltimore, MD.&nbsp;<a href=\"https:\/\/www.public.asu.edu\/%7Ehuanliu\/papers\/ngdm07.pdf\">pdf<\/a>. [90]<\/li>\n\n\n\n<li>G.P.C. Fung, J.X. Yu, H. Liu, P.S. Yu: Time-dependent event hierarchy construction.&nbsp;<a href=\"http:\/\/www.informatik.uni-trier.de\/~ley\/db\/conf\/kdd\/kdd2007.html#FungYLY07\">KDD 2007<\/a>: 300-309<\/li>\n\n\n\n<li>J. Chen, Z. Zhao, J. Ye, Huan Liu: Nonlinear adaptive distance metric learning for clustering.&nbsp;<a href=\"http:\/\/www.informatik.uni-trier.de\/~ley\/db\/conf\/kdd\/kdd2007.html#ChenZYL07\">KDD 2007<\/a>: 123-132<\/li>\n\n\n\n<li>Z. Zhao and H. Liu. &#8220;Spectral Feature Selection for Supervised and Unsupervised Learning&#8221;. International Conference on Machine Learning (ICML-07), June 20-24, 2007, Corvallis, Oregon.&nbsp;<a href=\"https:\/\/www.public.asu.edu\/%7Ehuanliu\/papers\/icml07.pdf\">pdf.<\/a><\/li>\n\n\n\n<li>J. Ye, Z. Zhao, and H. Liu. &#8220;Adaptive Distance Metric Learning for Clustering\u201d. IEEE Computer Society Conference on Computer Vision and Pattern Recognition (<a href=\"http:\/\/www.informatik.uni-trier.de\/~ley\/db\/conf\/cvpr\/cvpr2007.html#YeZL07\">CVPR-07<\/a>), June 18-23, 2007, Minneapolis, Minnesota.<\/li>\n\n\n\n<li>Z. Zhao and H. Liu. &#8220;Semi-supervised Feature Selection via Spectral Analysis&#8221;, SIAM International Conference on Data Mining (<a href=\"http:\/\/www.siam.org\/meetings\/sdm07\/\">SDM-07<\/a>), April&nbsp; 26-28, 2007,&nbsp;Minneapolis, Minnesota. pp641 &#8211; 646&nbsp;<a href=\"https:\/\/www.public.asu.edu\/%7Ehuanliu\/papers\/sdm07.pdf\">pdf<\/a>. [85]<\/li>\n\n\n\n<li>Z. Zhao and H. Liu. &#8220;Searching for Interacting Features&#8221;, The 20th International Joint Conference on AI (<a href=\"http:\/\/www.ijcai-07.org\/\">IJCAI-07<\/a>), January 6-12&nbsp;Hyderabad,&nbsp;India. pp 1150 &#8211; 1155.&nbsp;<a href=\"https:\/\/www.public.asu.edu\/%7Ehuanliu\/papers\/ijcai07.pdf\">pdf<\/a>.&nbsp;<a href=\"http:\/\/www.public.asu.edu\/%7Ehuanliu\/INTERACT\/INTERACTsoftware.html\">Software available.<\/a><\/li>\n\n\n\n<li>Gabriel P.C. Fung, J. Yu, H. Wang, D.W. Cheung, and H. Liu. &#8220;A Balanced Ensemble Approach to Weighting Classifiers for Text Classification&#8221;, IEEE International Conference on Dadta Mining (<a href=\"http:\/\/www.comp.hkbu.edu.hk\/%7Ewii06\/icdm\/\">ICDM&#8217;06<\/a>). December 18-22,&nbsp;Hong Kong.&nbsp;<a href=\"https:\/\/www.public.asu.edu\/%7Ehuanliu\/papers\/icdm06.pdf\">pdf.<\/a><\/li>\n\n\n\n<li>L. Tang, J. Zhang, and H. Liu. &#8220;Acclimatizing Taxonomic Semantics for Hierarchical Content Classification&#8221;, The 12th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (<a href=\"http:\/\/www.kdd2006.com\/\">KDD2006<\/a>), August, 2006.&nbsp;Philadelphia.&nbsp;<a href=\"https:\/\/www.public.asu.edu\/%7Ehuanliu\/papers\/kdd06.pdf\">pdf<\/a>.<\/li>\n\n\n\n<li>Surendra K. Singhi and H. Liu. &#8220;Feature Subset Selection Bias for Classification Learning&#8221;, The 23rd International Conferece on Machine Learning (<a href=\"http:\/\/www.icml2006.org\/\">ICML<\/a>), June, 2006.&nbsp;Pittsburgh,&nbsp;Pennsylvania. pp 849 &#8211; 856.&nbsp;<a href=\"https:\/\/www.public.asu.edu\/%7Ehuanliu\/papers\/icml06.pdf\">pdf<\/a>.<\/li>\n\n\n\n<li>Ping Wu, Ji-Rong Wen, H. Liu, Wei-Ying Ma. &#8220;Query Selection Techniques for Efficient Crawling of Structured Web Sources&#8221;,&nbsp;&nbsp;<a href=\"http:\/\/icde06.cc.gatech.edu\/index.html\">The 22nd International Conference on Data Engineering (ICDE),&nbsp;<\/a>Atlanta,&nbsp;Georgia, 2006.&nbsp;<a href=\"https:\/\/www.public.asu.edu\/%7Ehuanliu\/papers\/icde06.pdf\">pdf.<\/a>&nbsp;[80]<\/li>\n\n\n\n<li>Lei Tang and H. Liu. &#8220;Bias Analysis in Text Classification for Highly Skewed Data&#8221;,&nbsp;<a href=\"http:\/\/www.cacs.louisiana.edu\/%7Eicdm05\/\">The Fifth IEEE International Conference on Data Mining&nbsp;<\/a>(ICDM), November, 2005.&nbsp;New Orleans, Louisian.&nbsp;<a href=\"https:\/\/www.public.asu.edu\/%7Ehuanliu\/papers\/icdm05.pdf\">pdf<\/a>.<\/li>\n\n\n\n<li>Surendra Singhi and H. Liu. &#8220;Error-Sensitive Grading for Model Combination&#8221;,&nbsp;<a href=\"http:\/\/www.springerlink.com\/%28fa2fabmmkgtbeq452dzrjq45%29\/app\/home\/contribution.asp?referrer=parent&amp;backto=issue,74,78;journal,57,2308;linkingpublicationresults,1:105633,1\">Proceedings<\/a>&nbsp;of the European Conference on Machine Learning (<a href=\"http:\/\/ecmlpkdd05.liacc.up.pt\/\">ECML\/PKDD<\/a>). pp 733-740, October, 2005.&nbsp;Porto,&nbsp;Portugal.&nbsp;<a href=\"https:\/\/www.public.asu.edu\/%7Ehuanliu\/papers\/ecml05.pdf\">pdf<\/a>.&nbsp;<\/li>\n\n\n\n<li>Nitin Agarwal, Ehtesham Haque, Huan Liu, Lance Parsons. &#8220;Research Paper Recommender System: A Subspace Clustering Approach&#8221;, The 6th International Conference on Web-Age Information Management (<a href=\"http:\/\/grid.zju.edu.cn\/waim2005\/\">WAIM 2005<\/a>), pp. 475 &#8211; 491, October 11-13, 2005, Hang&nbsp;Zhou,&nbsp;China.&nbsp;<a href=\"https:\/\/www.public.asu.edu\/%7Ehuanliu\/papers\/waim05.pdf\">pdf.<\/a><\/li>\n\n\n\n<li>R. Jin, H. Liu. &#8220;A Novel Approach to Model Generation for Heterogeneous Data Classification&#8221;,&nbsp;<a href=\"http:\/\/ijcai05.csd.abdn.ac.uk\/\">the 19th International Joint Conference on AI<\/a>&nbsp; (IJCAI-05), July 30 &#8211; August 5, 2005.&nbsp;Edinburgh,&nbsp;Scotland.&nbsp;<a href=\"http:\/\/www.ijcai.org\/proceedings05.html\">online proceedings<\/a><\/li>\n\n\n\n<li>R. Jin, H. Liu, K. Feng. &#8220;Learning with Labeled Sessions&#8221;,&nbsp;<a href=\"http:\/\/ijcai05.csd.abdn.ac.uk\/\">the 19th International Joint Conference on AI<\/a>&nbsp; (IJCAI-05), July 30 &#8211; August 5, 2005.&nbsp;Edinburgh,&nbsp;Scotland.&nbsp;<a href=\"http:\/\/www.ijcai.org\/proceedings05.html\">online proceedings<\/a>&nbsp;[75]<\/li>\n\n\n\n<li>J. Sun, H. Zeng, H. Liu, Y. Lu, Z. Chen. &#8220;CubeSVD: A Novel Approach to Personalized Web Search&#8221;,&nbsp;<a href=\"http:\/\/www.www2005.org\/\">the 14th International World Wide Web Conference&nbsp;<\/a>(WWW2005), May 10- 14,&nbsp;Chiba,&nbsp;Japan.<\/li>\n\n\n\n<li>K. Torkkola, S. Venkatesan, and H. Liu. &#8220;Sensor Sequence Modeling for Driving&#8221;,&nbsp;<a href=\"http:\/\/ranger.uta.edu\/flairs05\/\">the 18th International FLAIRS Conference<\/a>, May 15-17, 2005,&nbsp;Clearwater Beach,&nbsp;Florida.&nbsp;<a href=\"http:\/\/www.public.asu.edu\/%7Ehuanliu\/papers\/flairs05.pdf\">pdf<\/a><\/li>\n\n\n\n<li>M. Galan, H. Liu, K. Torkkola.&nbsp; \u201cIntelligent Instance Selection of Data Streams for Smart Sensor Applications\u201d, SPIE Defense &amp; Security Symposium, Intelligent Computing: Theory and Applications III,&nbsp;Orlando,&nbsp;Florida, March 28-29, 2005. Volume 5803. pp. 108 &#8211; 119.&nbsp;<a href=\"https:\/\/www.public.asu.edu\/%7Ehuanliu\/papers\/DS-sensor05.pdf\">pdf<\/a><\/li>\n\n\n\n<li>Lei Yu, Chitta Baral, Seungchan Kim, Jessica L Rennert, Dominique Hoelzinger, Michael E Berens, and Huan Liu. &#8220;Discriminative Gene Selection for Brain Tumor Migration&#8221;.&nbsp;<em>Pacific Symposium on Biocomputing (PSB)<\/em>, 2005. (poster)<\/li>\n\n\n\n<li>&nbsp;D. Banks, G. Dong, H. Liu, and A. Mandvikar. &#8220;Teaching Undergraduate Data Mining in Engineering Program&#8221;,&nbsp;<a href=\"http:\/\/fie.engrng.pitt.edu\/fie2004\/\">Frontiers in Educations Conference<\/a>, October 20-23, 2004,&nbsp;Savannah,&nbsp;Georgia.&nbsp;<a href=\"http:\/\/fie.engrng.pitt.edu\/fie2004\/papers\/1135.pdf\">pdf from FIE04<\/a>&nbsp;or&nbsp;<a href=\"http:\/\/www.public.asu.edu\/%7Ehuanliu\/papers\/fie04.pdf\">draft pdf<\/a><\/li>\n\n\n\n<li>K. Torkkola, S. Venkatesan, and H. Liu. &#8220;Sensor Selection for Maneuver Classification&#8221;,&nbsp;<a href=\"http:\/\/www.ewh.ieee.org\/tc\/its\/2004\/\">The 7th IEEE International Conference on Intelligent Transportation Systems (ITSC2004)<\/a>, October 3-6, 2004, Loews L&#8217;Enfant Plaza Hotel,&nbsp;Washington&nbsp;DC.&nbsp;<a href=\"http:\/\/www.public.asu.edu\/%7Ehuanliu\/papers\/itsc04.pdf\">pdf<\/a>&nbsp;[70]<\/li>\n\n\n\n<li>R. Jin and H. Liu. &#8220;SWITCH: A Novel Approach to Ensemble Learning for Heterogeneous Data&#8221;,&nbsp;<a href=\"http:\/\/ecmlpkdd.isti.cnr.it\/\">The 15th European Conference on Machine Learning<\/a>, September 20-24, 2004,&nbsp;Pisa,&nbsp;Italy.&nbsp;<a href=\"http:\/\/www.public.asu.edu\/%7Ehuanliu\/papers\/ecml04.pdf\">pdf<\/a><\/li>\n\n\n\n<li>L. Yu and H. Liu. &#8220;Redundancy Based Feature Selection for Microarry Data&#8221;, SIGKDD,&nbsp;<a href=\"http:\/\/www.acm.org\/sigkdd\/kdd2004\/\">KDD 2004<\/a>, August, 22 &#8211; 25, 2004.&nbsp;Seattle,&nbsp;Washington.&nbsp;<a href=\"http:\/\/www.public.asu.edu\/%7Ehuanliu\/papers\/kdd04.pdf\">pdf<\/a><\/li>\n\n\n\n<li>H. Liu, A. Mandvikar, and J. Mody. &#8220;An Empirical Study of Building Compact Ensembles for Classification&#8221;,&nbsp;<a href=\"http:\/\/www.neu.edu.cn\/waim2004\/\">The Fifth International Conference on Web-Age Information Management (WAIM)<\/a>, 15 &#8211; 17 July 2004,&nbsp;Dalian,&nbsp;China.&nbsp;<a href=\"http:\/\/www.public.asu.edu\/%7Ehuanliu\/papers\/waim04.pdf\">pdf<\/a><\/li>\n\n\n\n<li>R. Jin and H. Liu. &#8220;Robust Feature Construction for Support Vector Machines&#8221;,&nbsp;<a href=\"http:\/\/www.aicml.cs.ualberta.ca\/banff04\/icml\/\">International Conference on Machine Learning<\/a>, 4 &#8211; 8 July, 2004,&nbsp;Banff,&nbsp;Alberta,&nbsp;Canada.&nbsp;<a href=\"http:\/\/www.public.asu.edu\/%7Ehuanliu\/papers\/icml04.pdf\">pdf<\/a><\/li>\n\n\n\n<li>A. Mandvikar, H. Liu, and H. Motoda. &#8220;Compact Dual Ensemble for Active Learning&#8221;,&nbsp;<a href=\"http:\/\/www.deakin.edu.au\/%7Epakdd04\/\">The Eighth Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD)&nbsp;<\/a>May 26 &#8211; 28, 2004,&nbsp;Sydney,&nbsp;Australia.&nbsp;<a href=\"http:\/\/www.public.asu.edu\/%7Ehuanliu\/papers\/pakdd04.pdf\">pdf<\/a>&nbsp;[65]<\/li>\n\n\n\n<li>A. Mandvikar and H. Liu. &#8220;Class-Specific Ensembles for Active Learning in Digital Imagery&#8221;,&nbsp;<a href=\"http:\/\/www.siam.org\/meetings\/sdm04\/\">SIAM International Conference on Data Mining 2004<\/a>, April 22-24, 2004. pp 412-421.&nbsp;Lake Buena Vista,&nbsp;Florida.&nbsp;<a href=\"http:\/\/www.public.asu.edu\/%7Ehuanliu\/papers\/siam04.pdf\">pdf<\/a><\/li>\n\n\n\n<li>P. Foschi, D. Kolippakkam, and H. Liu, &#8220;Feature Selection for Image Data via Learning&#8221;,&nbsp;<a href=\"http:\/\/www4.comp.polyu.edu.hk\/%7Eimmcn03\/\">IMMCN 2003<\/a>, September 26-30, 2003. pp 1299-1302. (Invited)&nbsp;North Carolina,&nbsp;USA.&nbsp;<a href=\"http:\/\/www.public.asu.edu\/%7Ehuanliu\/papers\/immcn03.ps\">ps<\/a><\/li>\n\n\n\n<li>L. Yu and H. Liu, &#8220;Efficiently Handling Feature Redundancy in High-Dimensional Data&#8221;. In Proceedings of The Ninth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining,&nbsp;Washington,&nbsp;D.C.&nbsp;pp 685-690. August 24 &#8211; 27, 2003.&nbsp;<a href=\"http:\/\/www.public.asu.edu\/%7Ehuanliu\/papers\/icml03.pdf\">pdf.<\/a>&nbsp;<a href=\"http:\/\/www.public.asu.edu\/%7Ehuanliu\/FCBF\/FCBFsoftware.html\">Software available.<\/a><\/li>\n\n\n\n<li>L. Yu and H. Liu. &#8220;Feature Selection for High-Dimensional Data: A Fast Correlation-Based Filter Solution&#8221;. In Proceedings of The Twentieth International Conference on Machine Leaning (ICML-03),&nbsp;Washington, D.C. pp. 856-863. August 21-24, 2003.&nbsp;<a href=\"http:\/\/www.public.asu.edu\/%7Ehuanliu\/papers\/icml03.pdf\">pdf<\/a>&nbsp;[60]<\/li>\n\n\n\n<li>H. Liu, A. Mandvikar, P. Foschi, and K. Torkkola, &#8220;Active Learning with Ensembles for Image Mining&#8221;,&nbsp;<a href=\"http:\/\/www.ijcai-03.org\/\">International Joint Conference on AI (IJCAI&#8217;2003)<\/a>.&nbsp;Acapulco,&nbsp;Mexico. pp. 1435-1436. August 9-15, 2003.&nbsp;<a href=\"http:\/\/www.public.asu.edu\/%7Ehuanliu\/papers\/ijcai03.ps\">ps<\/a><\/li>\n\n\n\n<li>H. Liu, H. Lu, and L. Yu, &#8220;Active Sampling: An effective Approach to Feature Selection&#8221;,&nbsp;<a href=\"http:\/\/www.siam.org\/meetings\/sdm03\/\">SIAM International Conference on Data Mining<\/a>, pp. 244-248.&nbsp;San Francisco, May, 2003.&nbsp;<a href=\"http:\/\/www.public.asu.edu\/%7Ehuanliu\/papers\/siam03.ps\">ps<\/a><\/li>\n\n\n\n<li>H. Liu, L. Yu, M. Dash, and H. Motoda, &#8220;Active Feature Selection Using Classes&#8221;,&nbsp;<a href=\"http:\/\/aitrc.kaist.ac.kr\/%7Epakdd03\/\">PAKDD03<\/a>,&nbsp;Seoul,&nbsp;Korea. pp. 474-485. April 30 &#8211; May 2, 2003.&nbsp;<a href=\"http:\/\/www.public.asu.edu\/%7Ehuanliu\/papers\/pakdd03.ps\">ps<\/a><\/li>\n\n\n\n<li>S.S. Yau, H. Liu, D. Huang, Y. Yao,&nbsp;<a href=\"http:\/\/ieeexplore.ieee.org\/xpls\/abs_all.jsp?arnumber=1245409\">Situation-aware personalized information retrieval for mobile Internet<\/a>,&nbsp;<a href=\"http:\/\/ieeexplore.ieee.org\/xpl\/RecentCon.jsp?punumber=8813\">Proceedings of the 27th Annual International Conference on Computer Software and Applications Conference, 2003. COMPSAC 2003<\/a>,&nbsp; 3-6 Nov. 2003<\/li>\n\n\n\n<li>H. Nguyen, P. Velamuru, D. Kolippakkam, H. Davulcu and H. Liu, &#8220;Mining `Hidden Phrase&#8217; Definitions from the Web&#8221;, Proceedings of&nbsp;<a href=\"http:\/\/www.apweb.org\/\">The Fifth Asia Pacific Web Conference<\/a>, 27-29 Sept., 2003. pp. 156 &#8211; 165.&nbsp;Xi&#8217;an&nbsp;China. [55]&nbsp;<a href=\"http:\/\/www.public.asu.edu\/%7Ehuanliu\/papers\/apweb03.pdf\">pdf<\/a><\/li>\n\n\n\n<li>D. Manoranjan, K. Choi, P. Scheuermann, H. Liu, &#8220;Feature Selection for Clustering &#8211; A Filter Solution&#8221;, Proceedings of&nbsp;<a href=\"http:\/\/kis.maebashi-it.ac.jp\/icdm02\/\">ICDM 2002<\/a>. Dec 9 &#8211; 12, 2002, p. 115-122,&nbsp;Japan.&nbsp;<a href=\"http:\/\/www.public.asu.edu\/%7Ehuanliu\/papers\/icdm02.ps\">postscript<\/a>.<\/li>\n\n\n\n<li>H. Liu, H. Motoda, and L. Yu, &#8220;Feature Selection with Selective Sampling&#8221;, Proceedings of&nbsp;<a href=\"http:\/\/www.cse.unsw.edu.au\/%7Eicml2002\/\">the 19th International Conference on Machine Learning<\/a>. July 8-12, 2002.&nbsp;Sydney, p. 395-402,&nbsp;Australia.&nbsp;<a href=\"http:\/\/www.public.asu.edu\/%7Ehuanliu\/papers\/icml02.ps\">postscript<\/a>.<\/li>\n\n\n\n<li><a href=\"http:\/\/members.home.net\/wmcampbell.phx\/pubs.html\">W.M. Campbell<\/a>&nbsp;and H. Liu, &#8220;Using Feature Transformation and Selection with Polynomial Networks,&#8221; Proceedings of the SPIE &#8211; The International Society for Optical Engineering vol.4390 p.175-86. Publisher: SPIE-Int. Soc. Opt. Eng. Applications and Science of Computational Intelligence IV.&nbsp;Orlando,&nbsp;Florida, April 16-20, 2001.&nbsp;<a href=\"http:\/\/members.home.net\/wmcampbell.phx\/2001_spie.pdf\">pdf<\/a><\/li>\n\n\n\n<li>M. Dash, K. L. Tan, and H. Liu: &#8220;Efficient Yet Accurate Clustering&#8221;. (ICDM-2001), IEEE International Conference on Data Mining, November 2001. pp 99&#8211;106.<\/li>\n\n\n\n<li>B. Gu, B. Liu, F. Hu, and H. Liu, &#8220;Efficiently Determining the Starting Sample Size for Progressive Sampling&#8221;, Proceedings of the 12th European Conference on Machine Learning,&nbsp;<a href=\"http:\/\/link.springer.de\/link\/service\/series\/0558\/tocs\/t2167.htm\">Machine Learning: ECML-2001<\/a>, L. De Raedt, P. Flach (Eds.) Sept 3 &#8211; 7, 2001.&nbsp;Freiburg,&nbsp;Germany. pp 192&#8211;202, Springer-Verlag. [50]&nbsp;<a href=\"http:\/\/www.public.asu.edu\/%7Ehuanliu\/papers\/ecml01.pdf\">pdf<\/a>.<\/li>\n\n\n\n<li>B. Gu, F. Hu, H. Liu, &#8220;Modeling Classification Performance for Large Data Sets&#8221;, WAIM&#8217;2001, Proceedings of the Second International Conference of Web-Age Information Management, Xi&#8217;an, China. July, 2001. pp 317&#8211;328.&nbsp;<a href=\"http:\/\/www.public.asu.edu\/%7Ehuanliu\/papers\/waim01.ps\">postscript<\/a>.<\/li>\n\n\n\n<li>C. Wen, H. Liu, W.X. Wen, J. Zheng, &#8220;A Distributed Hierarchical Clustering System for Web Mining&#8221;, WAIM&#8217;2001, Proceedings of the Second International Conference of Web-Age Information Management, Xi&#8217;an, China. Jyly, 2001. pp 103&#8211;113.&nbsp;<a href=\"http:\/\/www.public.asu.edu\/%7Ehuanliu\/papers\/waim01-wen.ps\">postscript<\/a>.<\/li>\n\n\n\n<li>M. Dash, H. Liu, and X. Xu, &#8220;&#8216;1 + 1 &gt; 2&#8217;: Merging Distance and Density Based Clustering&#8221;, the 7th International Conference on Database Systems for Advanced Applications, DASFAA 2001, pages 32-39, HongKong. IEEE Computer Society Publisher. April, 2001.&nbsp;<a href=\"http:\/\/www.public.asu.edu\/%7Ehuanliu\/papers\/dasfaa01.ps\">postscript<\/a>.<\/li>\n\n\n\n<li>M. Dash and H. Liu, &#8220;Efficient Hierarchical Clustering Algorithms using Partially Overlapping Partitions&#8221;, the 5th Pacific Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2001, HongKong. April 2001. pp 495&#8211;506.&nbsp;<a href=\"http:\/\/www.public.asu.edu\/%7Ehuanliu\/papers\/pakdd01.ps\">postscript<\/a>.<\/li>\n\n\n\n<li>D.P. Makawita, K.L. Tan, and H. Liu, &#8220;Sampling from Databases Using B+ Trees&#8221;, Conference on Information and Knowledge Management (CIKM 2000), pp 158 &#8212; 164,&nbsp;Washington,&nbsp;DC, November 6-11, 2000 [45].&nbsp;<a href=\"http:\/\/www.public.asu.edu\/%7Ehuanliu\/papers\/cikm00.ps\">postscript<\/a>.<\/li>\n\n\n\n<li>F. Hussain, H. Liu, E. Suzuki, and H. Lu, &#8220;Exception Rule Mining with a Relative Interestiness Measure&#8221;, pp 86 &#8212; 97, PAKDD 2000,&nbsp;Kyoto,&nbsp;Japan. April, 2000. Springer.&nbsp;<a href=\"http:\/\/www.public.asu.edu\/%7Ehuanliu\/papers\/pakdd00exc.ps\">postscript<\/a>.<\/li>\n\n\n\n<li>M. Dash, H. Liu and H. Motoda, &#8220;Consistency Based Feature Selection&#8221;, pp 98 &#8212; 109, PAKDD 2000,&nbsp;Kyoto,&nbsp;Japan. April, 2000. Springer.&nbsp;<a href=\"http:\/\/www.public.asu.edu\/%7Ehuanliu\/papers\/pakdd00Fea.ps\">postscript<\/a>.<\/li>\n\n\n\n<li>M. Dash and H. Liu, &#8220;Feature Selection for Clustering&#8221;, pp 110 &#8212; 121, PAKDD 2000,&nbsp;Kyoto,&nbsp;Japan. April, 2000. Springer. ( &#8220;<strong>the Most Influential Paper<\/strong>&#8221; award 10 years later at PAKDD 2010)&nbsp;<a href=\"http:\/\/www.public.asu.edu\/%7Ehuanliu\/papers\/pakdd00clu.ps\">postscript<\/a>,&nbsp;<a href=\"https:\/\/www.public.asu.edu\/%7Ehuanliu\/papers\/pakdd00clu.pdf\">pdf<\/a>.<\/li>\n\n\n\n<li>N.A. Syed, H. Liu, and<a href=\"http:\/\/www.comp.nus.edu.sg\/%7Esungk\">&nbsp;K.K. Sung<\/a>, &#8220;A Sudy of Support Vectors on Model Independent Example Selection&#8221;, International Conference on Knowledge Discovery &amp; Data Mining (KDD&#8217;99), pp 272&#8211;276, August 15-18, 1999,&nbsp;San Diego,&nbsp;CA,&nbsp;USA.&nbsp;<a href=\"http:\/\/www.public.asu.edu\/%7Ehuanliu\/papers\/KDD99_svm_final.ps\">postscript<\/a>.<\/li>\n\n\n\n<li>N.A. Syed, H. Liu, and<a href=\"http:\/\/www.comp.nus.edu.sg\/%7Esungk\">&nbsp;K.K. Sung<\/a>, &#8220;Handling Concept Drifts in Incremental Learning with Support Vector Machines&#8221;, International Conference on Knowledge Discovery &amp; Data Mining (KDD&#8217;99), pp 317&#8211;321, August 15-18, 1999,&nbsp;San Diego,&nbsp;CA,&nbsp;USA.&nbsp;<a href=\"http:\/\/www.public.asu.edu\/%7Ehuanliu\/papers\/KDD99_drift_final.ps\">postscript<\/a>[40].<\/li>\n\n\n\n<li>K. Chen and H. Liu &#8220;Towards an Evolutionary Algorithm: A Comparison of Two Feature Selection Algorithms&#8221;, Congress on Evolutionary Computation, pp 1309&#8211;1313, July 6-9, 1998,&nbsp;Washington&nbsp;D.C.,&nbsp;USA.&nbsp;<a href=\"http:\/\/www.public.asu.edu\/%7Ehuanliu\/papers\/cec99.ps\">postscript<\/a>.<\/li>\n\n\n\n<li>H. Liu,&nbsp;<a href=\"http:\/\/www.cs.ust.hk\/%7Eluhj\/\">H. Lu<\/a>, L. Feng, and&nbsp;<a href=\"http:\/\/www.comp.nus.edu.sg\/%7Efarhad\">F. Hussain<\/a>, &#8220;Efficient Search of Reliable Exceptions&#8221;, Proceedings of The Third Pacific Asia Conference on Knowledge Discovery and Data Mining (PAKDD&#8217;99),&nbsp;Beijing,&nbsp;China, pp 194&#8211;204, April 26-28, 1999. Springer-Verlag.&nbsp;<a href=\"http:\/\/www.public.asu.edu\/%7Ehuanliu\/papers\/pakdd99.ps\">postscript<\/a>.<\/li>\n\n\n\n<li>H. Liu and&nbsp;<a href=\"http:\/\/www.comp.nus.edu.sg\/%7Erudys\">R. Setiono<\/a>, &#8220;Feature Transformation and Multivariate Decision Tree Induction&#8221;, Proceedings of The First International Conference on Discovery Science (DS&#8217;98),&nbsp;Fukuoka, Japan December 14-16, 1998. pp 279&#8211;290, Springer-Verlag.&nbsp;<a href=\"http:\/\/www.public.asu.edu\/%7Ehuanliu\/papers\/ds98.ps\">postscript<\/a>.<\/li>\n\n\n\n<li><a href=\"http:\/\/www.comp.nus.edu.sg\/%7Emanoranj\">M. Dash<\/a>, H. Liu, &#8220;Hybrid Search of Feature Subsets&#8221;, PRICAI&#8217;98, 22-27 November, 1998.&nbsp;Singapore. pp 238-249, Springer-Verlag.&nbsp;<a href=\"http:\/\/www.public.asu.edu\/%7Ehuanliu\/papers\/pricai98.ps\">postscript<\/a>.[35]<\/li>\n\n\n\n<li><a href=\"http:\/\/www.comp.nus.edu.sg\/%7Erudys\">R. Setiono<\/a>&nbsp;and H. Liu, &#8220;Framentation Problem and Automated Feature Construction&#8221;, Proceedings of the 10th IEEE International Conference on Tools with AI (ICTAI&#8217;98), pp 208&#8211;215, November 10-12, 1998.&nbsp;Taipei,&nbsp;Taiwan. IEEE Computer Society.&nbsp;<a href=\"http:\/\/www.comp.nus.edu.sg\/%7Erudys\/tai98.ps\">postscript<\/a>.<\/li>\n\n\n\n<li><a href=\"http:\/\/www.comp.nus.edu.sg\/%7Engkians1\">K.S. Ng<\/a>, H. Liu, and H.B. Kwah, &#8220;A Data Mining Application: Customer Retention&#8221;, Proceedings ACM-SIGMOD International Conference on Management of Data (SIGMOD&#8217;98), June 1-4, 1998.&nbsp;Seattle,&nbsp;Washington,&nbsp;USA.<\/li>\n\n\n\n<li>H. Liu,&nbsp;<a href=\"http:\/\/www-moto.sanken.osaka-u.ac.jp\/motodaeg.html\">H. Motoda<\/a>, and&nbsp;<a href=\"http:\/\/www.comp.nus.edu.sg\/%7Emanoranj\">M. Dash<\/a>, &#8220;A Monotonic Measure for Optimal Feature Selection&#8221;, 10th European Conference on Machine Learning (ECML-98), April 21-24, 1998.&nbsp;Chemnitz,&nbsp;Germany. pp 101&#8211;106, Springer-Verlag.&nbsp;<a href=\"http:\/\/www.public.asu.edu\/%7Ehuanliu\/papers\/ecml98.ps\">postscript<\/a>.<\/li>\n\n\n\n<li>H. Liu, H. Lu, and&nbsp;<a href=\"http:\/\/www.comp.nus.edu.sg\/%7Eyao\">J. Yao<\/a>, &#8220;Identifying Relevant Databases for Multidatabase Mining&#8221;, the 2nd Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD&#8217;98), April 15-18, 1998.&nbsp;Melbourne,&nbsp;Australia. pp 210&#8211;221, Springer-Verlag.&nbsp;<a href=\"http:\/\/www.public.asu.edu\/%7Ehuanliu\/papers\/pakdd98.ps\">postscript<\/a>.<\/li>\n\n\n\n<li>H. Liu and&nbsp;<a href=\"http:\/\/www.comp.nus.edu.sg\/%7Erudys\">R. Setiono<\/a>, &#8220;Scalable Feature Selection for Large Sized Databases&#8221;, the Fourth World Congress on Expert Systems (WCES&#8217;98), March 1998,&nbsp;Mexico City,&nbsp;Mexico. pp 521&#8211;528.&nbsp;<a href=\"http:\/\/www.public.asu.edu\/%7Ehuanliu\/papers\/wces98.ps\">postscript<\/a>.<\/li>\n\n\n\n<li><a href=\"http:\/\/www.comp.nus.edu.sg\/%7Emanoranj\">M. Dash<\/a>, H. Liu, and&nbsp;<a href=\"http:\/\/www.comp.nus.edu.sg\/%7Eyaojun\">J. Yao<\/a>, &#8220;Dimensionality Reduction of Unsupervised Data&#8221;, the Ninth IEEE International Conference on Tools with AI (ICTAI&#8217;97), Nov., 1997,&nbsp;Newport Beach,&nbsp;California.&nbsp;<a href=\"http:\/\/www.public.asu.edu\/%7Ehuanliu\/papers\/tai97.ps\">postscript<\/a>. [30]<\/li>\n\n\n\n<li><a href=\"http:\/\/www.comp.nus.edu.sg\/%7Erudys\">R. Setiono<\/a>&nbsp;and H. Liu, &#8220;NeuralLinear: A System for Extracting Oblique Decision Rules from Neural Networks&#8221;, the 9th European Conference on Machine Learning (ECML&#8217;97), 23-26 April, 1997.&nbsp;Prague,&nbsp;Czech Republic.&nbsp;<a href=\"http:\/\/www.comp.nus.edu.sg\/%7Erudys\/publications\/ecml97.ps\">postscript<\/a>.<\/li>\n\n\n\n<li><a href=\"http:\/\/www.comp.nus.edu.sg\/%7Eyaojun\">J. Yao<\/a>&nbsp;and H. Liu, &#8220;Searching Multiple Databases for Interesting Complexes&#8221;, the 1st Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD&#8217;97), 23-24 Feb., 1997, pp. 198-210.&nbsp;Singapore.&nbsp;<a href=\"http:\/\/www.public.asu.edu\/%7Ehuanliu\/papers\/pakdd97.ps\">postscript<\/a>.<\/li>\n\n\n\n<li>H. Liu and&nbsp;<a href=\"http:\/\/www.comp.nus.edu.sg\/%7Erudys\">R. Setiono<\/a>, &#8220;A probabilistic approach to feature selection &#8211; A filter solution&#8221;, the 13th International Conference on Machine Learning (ICML&#8217;96), July 1996, pp. 319-327.&nbsp;Bari,&nbsp;Italy.&nbsp;<a href=\"http:\/\/www.public.asu.edu\/%7Ehuanliu\/papers\/ml96.ps\">postscript<\/a>.<\/li>\n\n\n\n<li>H. Liu and&nbsp;<a href=\"http:\/\/www.comp.nus.edu.sg\/%7Erudys\">R. Setiono<\/a>, &#8220;Feature selection and classification &#8211; A probabilistic wrapper approach&#8221;, the 9th International Conference on Industrial &amp; Engineering Applications of Artificial Intelligence &amp; Expert Systems&#8221; (IEA-AIE&#8217;96), June 1996, pp. 419-424.&nbsp;Fukuoka,&nbsp;Japan.&nbsp;<a href=\"http:\/\/www.public.asu.edu\/%7Ehuanliu\/papers\/wrapper.ps\">postscript<\/a>.<\/li>\n\n\n\n<li>H. Liu and R. Setiono, &#8220;Chi2: Feature selection and discretization of numeric attributes&#8221;, the 7th IEEE International Conference on Tools with Artificial Intelligence (TAI&#8217;95), Nov.1995, pp. 388-391.&nbsp;Washington&nbsp;D.C.,&nbsp;USA.&nbsp;<a href=\"http:\/\/www.public.asu.edu\/%7Ehuanliu\/papers\/tai95.ps\">postscript<\/a>. [25]<\/li>\n\n\n\n<li>H. Liu and&nbsp;<a href=\"http:\/\/www.comp.nus.edu.sg\/%7Etanst\">S.T. Tan<\/a>, &#8220;X2R: A Fast Rule Generator&#8221;, IEEE International Conference on Systems, Man and Cybernetics (SMC&#8217;95), Oct. 1995, pp. 631-1635.&nbsp;Vancouver,&nbsp;Canada.&nbsp;<a href=\"http:\/\/www.public.asu.edu\/%7Ehuanliu\/papers\/smc95.ps\">postscript<\/a>.<\/li>\n\n\n\n<li><a href=\"http:\/\/www.comp.nus.edu.sg\/%7Eluhj\">H. Lu<\/a>,&nbsp;<a href=\"http:\/\/www.comp.nus.edu.sg\/%7Erudys\">R.Setiono<\/a>&nbsp;and H. Liu, &#8220;NeuroRule: A Connectionist Approach to Data Mining&#8221;, International Conference on Very Large Databases (VLDB&#8217;95), Oct. 1995,&nbsp;Zurich,&nbsp;Switzerland.&nbsp;<a href=\"http:\/\/www.public.asu.edu\/%7Ehuanliu\/papers\/vldb95.ps\">postscript<\/a>.<\/li>\n\n\n\n<li><a href=\"http:\/\/www.comp.nus.edu.sg\/%7Erudys\">R. Setiono<\/a>&nbsp;and H. Liu, &#8220;Understanding Neural Networks via Rule Extraction&#8221;, International Joint Conference on Artificial Intelligence (IJCAI-95), Aug. 1995,&nbsp;Montreal,&nbsp;Canada&nbsp;.&nbsp;<a href=\"http:\/\/www.public.asu.edu\/%7Ehuanliu\/papers\/ijcai95.ps\">postscript<\/a>,&nbsp;<a href=\"https:\/\/www.public.asu.edu\/%7Ehuanliu\/papers\/ijcai95.pdf\">pdf<\/a><\/li>\n\n\n\n<li>W.X. Wen and H. Liu, &#8220;A Feature Weighting Method for Inductive Learning&#8221;, The 3rd Pacific Rim International Conference on Artificial Intelligence, August 15-18, 1994,&nbsp;Beijing,&nbsp;China. pp 338-344<\/li>\n\n\n\n<li>H. Liu and W.X. Wen, &#8220;Concept Learning through Feature Selection&#8221;, First Australian and&nbsp;New Zealand&nbsp;Conference on Intelligent Information Systems, 1-3 December, 1993,&nbsp;Perth,&nbsp;Western Australia. [20]<\/li>\n\n\n\n<li>W.X. Wen, H. Liu and A. Jennings, &#8220;Supervised Learning for Self-Generating Neural Trees&#8221;, 1993 World Congress on Neural Networks,&nbsp;Portland,&nbsp;Oregon,&nbsp;USA.<\/li>\n\n\n\n<li>W.X. Wen, H. Liu and A. Jennings, &#8220;Learning a Neural Tree&#8221;, the International Joint Conference on Neural Networks, IJCNN&#8217;92, November 3-6, 1992,&nbsp;Beijing,&nbsp;China. pp II-751 &#8211; II-756<\/li>\n\n\n\n<li>W.X. Wen, A. Jennings and H. Liu, &#8220;A Performance Analysis of Self-Generating Neural Trees&#8221;, ibid. pp II-283 &#8211; II-288<\/li>\n\n\n\n<li>H. Liu, C. Rowles and C. Leckie, &#8220;Evolving a Design&#8221;, the First&nbsp;Singapore&nbsp;International Conference on Intelligent Systems, Sept. 28-Oct. 2, 1992,&nbsp;Singapore. pp 337 &#8211; 342<\/li>\n\n\n\n<li>&#8220;Joint Concept Formation and Abstraction&#8221;, (with W. Wen), the Pacific Rim International Conference on Artificial Intelligence, September 15-18, 1992,&nbsp;Seoul,&nbsp;South Korea. [15]<\/li>\n\n\n\n<li>&#8220;Planning with Intentions&#8221;, (with C. Rowles and G.A. Bekey), ibid.<\/li>\n\n\n\n<li>&#8220;Self-Generating Neural Networks and Their Applications to Telecommunications&#8221;, (with W. Wen and A. Jennings), the International Conference on Communication Technology, September 16-18, 1992,&nbsp;Beijing,&nbsp;China.<\/li>\n\n\n\n<li>&#8220;Self-Generating Neural Networks&#8221;, (with W. Wen and A. Jennings), the International Joint Conference on Neural Networks, June 7-11, 1992,&nbsp;Baltimore,&nbsp;U.S.A.&nbsp;pp IV-779 &#8211; IV-784.<\/li>\n\n\n\n<li>&#8220;Design, Evaluation and Redesign &#8211; Handling the ad-hocness of a knowledge-based design system&#8221;, (with C.D. Rowles and W. Wen), the IEEE Conference on AI Applications, March 1992,&nbsp;California,&nbsp;U.S.A.<\/li>\n\n\n\n<li>&#8220;Knowledge-based Models of Human and Robot Grasping&#8221;, (with G.A. Bekey, T. Iberall and R. Tomovic), IFAC Symposium on Systems Identification, July, 1991,&nbsp;Budapest,&nbsp;Yugoslavia. [10]<\/li>\n\n\n\n<li>&#8220;Automating the Design of Telecommunication Distribution Networks&#8221;, (with C. Rowles, C. Leckie and W. Wen), the First International Conference on Artificial Intelligence in Design, 25-27 June, 1991,&nbsp;Edinburgh,&nbsp;UK.<\/li>\n\n\n\n<li>&#8220;Optimizing Knowledge-based Systems Design&#8221;, (with W. Wen and C.D. Rowles), the IEEE Conference on AI Applications, February, 1991,&nbsp;Miami,&nbsp;Florida,&nbsp;U.S.A.<\/li>\n\n\n\n<li>&#8220;Intention Attributes in Planning&#8221; (with C.D. Rowles), the Pacific Rim International Conference on Artificial Intelligence&#8217;90, November, 1990,&nbsp;Nagoya,&nbsp;Japan.<\/li>\n\n\n\n<li>&#8220;Integrating Design Principles in Automated Layout Design&#8221; (with C.D. Rowles and C. Leckie), the International Conference on Automation, Computer Vision and Robotics, September, 1990,&nbsp;Singapore. pp 180 &#8211; 184<\/li>\n\n\n\n<li>&#8220;The Multi-dimensional quality of task requirements for dextrous robot hand control&#8221; (with T. Iberall and G.A. Bekey), the IEEE International Conference on Robotics and Automation, May, 1989,&nbsp;Scottsdale,&nbsp;Arizona. [5]<\/li>\n\n\n\n<li>&#8220;Building a generic architecture for robot hand control&#8221; (with T. Iberall and G.A. Bekey), the IEEE International Conference on Neural Networks, July, 1988,&nbsp;San Diego,&nbsp;California.<\/li>\n\n\n\n<li>&#8220;Robot hand-eye coordination: shape description and grasping&#8221;, (with K. Rao, G. Medioni and G.A. Bekey) the IEEE International Conference on Robotics and Automation, April, 1988,&nbsp;Philadelphia,&nbsp;Pennsylvania.<\/li>\n\n\n\n<li>&#8220;Reasoning about grasping from task description&#8221; (with T. Iberall and G.A. Bekey), Advances in Intelligent Robotics Systems, SPIE&#8217;s Cambridge Symposium on Optical and Optoelectronic Engineering, November, 1988, Cambridge, Massachusetts.<\/li>\n\n\n\n<li>&#8220;Learning activities in robot hand control&#8221; (with G.A. Bekey), the Robotics and Automation Symposium, the International Association of Science and Technology for Development, May, 1987,&nbsp;Santa Babra,&nbsp;California.<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\"><a>Patents<\/a><\/h2>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Ruocheng Guo, Jundong Li, and Huan Liu. &#8220;<a href=\"https:\/\/patents.google.com\/patent\/US12014267B2\/en\">Systems and Methods for Sequential Event Prediction with Noise-Contrastive Estimation for Marked Temporal Point Process<\/a>&#8220;,&nbsp; US Patent 12,014,267; Date of Patent: 6\/18\/2024<\/li>\n\n\n\n<li>Lu Cheng, Kai Shu, Siqi Wu, Yasin Silva, Deborah Hall, Huan Liu. &#8220;<a href=\"https:\/\/patents.google.com\/patent\/US11916866B2\/en\">Systems and Methods for Unsupervised Cyberbullying Detection via Time-Informed Gaussian Mixture Model<\/a>&#8220;, US Patent 11,916,866; Date of Patent: 02\/27\/2024<\/li>\n\n\n\n<li>David Ahmadreza Mosallanezhad, Ghazaleh Beigi, Huan Liu. &#8220;<a href=\"https:\/\/patents.google.com\/patent\/US11907666B2\/en\">Systems And Methods For Utility-Preserving Deep Reinforcement Learning-Based Text Anonymization<\/a>&#8220;, US Paent 11,907,666; Date of Patent: 02\/20\/2024<\/li>\n\n\n\n<li>Ghazaleh Beigi, Kai Shu, Suhang Wang, Huan Liu. &#8220;<a href=\"https:\/\/scholar.google.com\/citations?view_op=view_citation&amp;hl=en&amp;user=Dzf46C8AAAAJ&amp;sortby=pubdate&amp;citation_for_view=Dzf46C8AAAAJ:upAolQDU9rYC\">Systems and Methods for A Privacy Preserving Text Representation Learning Framework<\/a>&#8220;, US Patent 11,763,093; Date of Patent: 2023\/9\/19<\/li>\n\n\n\n<li>Kai Shu, Suhang Wang, Jiliang Tang, Yilin Wang, Huan Liu. &#8220;<a href=\"https:\/\/patentimages.storage.googleapis.com\/03\/d4\/ff\/fc6a545f98682b\/US11593891B2.pdf\">Systems and Methods for a Cross Media Joint Friend and Item Recommendation Framework<\/a>&#8220;,&nbsp;<a href=\"https:\/\/patents.justia.com\/patent\/11593891\">US Patent 11,593,891<\/a>; Date of Patent: 2023\/2\/28<\/li>\n\n\n\n<li>Kai Shu, Deepak Mahudeswaran, Huan Liu. &#8220;<a href=\"https:\/\/patents.google.com\/patent\/US11494446B2\/en\">Method and apparatus for collecting, detecting and visualizing fake news<\/a>&#8220;, US Patent 11,494,446; Date of Patent: 2022\/11\/8<\/li>\n\n\n\n<li>Ghazaleh Beigi, Ruocheng Guo, Huan Liu, Yanchao Zhang, Alexander Nou. &#8220;Privacy protection systems and methods&#8221;,&nbsp;<a href=\"https:\/\/patents.google.com\/patent\/US11436371B2\/en\">US Patent 11,436,371;<\/a>&nbsp;Date of Patent: 2022\/9\/6<\/li>\n\n\n\n<li>Liang Wu and Huan Liu. &#8220;Method and Apparatus for Detecting Fake News in a Social Media Network&#8221;,&nbsp;<a href=\"https:\/\/patents.justia.com\/patent\/11418476\">US Patent 11,418,476<\/a>; Date of Patent: 2022\/08\/16<\/li>\n\n\n\n<li>Jundong Li, Harsh Dani, Xia Hu, and Huan Liu. &#8220;<a href=\"https:\/\/patents.google.com\/patent\/US11360928B2\/en\">Systems and methods for improved anomaly detection in attributed networks<\/a>&#8220;,&nbsp;<a href=\"https:\/\/patents.justia.com\/patent\/11360928\">US Patent 11,360,928<\/a>; Data of Patent: 2022\/6\/14<\/li>\n\n\n\n<li>Jundong Li, Xia Ben Hu, Jiliang Tang, and Huan Liu. &#8220;<a href=\"javascript:void(0)\">Systems and methods for unsupervised streaming feature selection in social media<\/a>&#8220;,&nbsp;&nbsp;<a href=\"https:\/\/uspto.report\/patent\/grant\/10,942,939\">US Patent 10,942,939<\/a>; Date of Patent: 2021-03-09<\/li>\n\n\n\n<li>Pritam Gundecha, Jiliang Tang, and Huan Liu. &#8220;Systems and methods for predicting personal attributes based on public interaction data&#8221;.&nbsp;<a href=\"http:\/\/patft.uspto.gov\/netacgi\/nph-Parser?Sect1=PTO1&amp;Sect2=HITOFF&amp;d=PALL&amp;p=1&amp;u=%2Fnetahtml%2FPTO%2Fsrchnum.htm&amp;r=1&amp;f=G&amp;l=50&amp;s1=10664764.PN.&amp;OS=PN\/10664764&amp;RS=PN\/10664764\">United States Patent No. 10,665,764<\/a>; Date of Patent: May 26, 2020.<\/li>\n\n\n\n<li>Reza Zafarani and Huan Liu. &#8220;User Identification Across Social Media&#8221;.&nbsp;<a href=\"http:\/\/patft.uspto.gov\/netahtml\/PTO\/srchnum.htm\">United States Patent&nbsp;<\/a>No. 9,544,381;&nbsp;Date of Patent:&nbsp;January 10, 2017.<\/li>\n\n\n\n<li>Hua-Jun Zeng, Jian-Tao Sun, Wei-Ying Ma, Zheng Chen, Benyu Zhang, and Huan Liu. &#8220;Augmenting User, Query, and Document Triplets Using Singular Value Decomposition.&nbsp;<a href=\"https:\/\/docs.google.com\/a\/asu.edu\/viewer?url=patentimages.storage.googleapis.com\/pdfs\/US7747618.pdf\">Patent No.: US 7,747,618, B2<\/a>; Date of Patent: Jun. 29, 2010.<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\"><a>Journals and Magazines<\/a><\/h2>\n\n\n\n<p><a href=\"https:\/\/www.public.asu.edu\/%7Ehuanliu\/publications.html#conference\">Conference<\/a>&nbsp;<a href=\"https:\/\/www.public.asu.edu\/%7Ehuanliu\/publications.html#patent\">Patent<\/a>&nbsp;<a href=\"https:\/\/www.public.asu.edu\/%7Ehuanliu\/publications.html#journal\">Journal<\/a>&nbsp;<a href=\"https:\/\/www.public.asu.edu\/%7Ehuanliu\/publications.html#work\">Workshop<\/a>&nbsp;<a href=\"https:\/\/www.public.asu.edu\/%7Ehuanliu\/publications.html#book\">Book<\/a><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>\u015eenol, A., Agrawal, G., &amp; Liu, H. (2026). Domain Knowledge-enhanced LLMs for fraud and concept drift detection. Electronics, 15(3), 534.<\/li>\n\n\n\n<li><a href=\"https:\/\/scholar.google.com\/citations?view_op=list_works&amp;hl=en&amp;hl=en&amp;user=TgOIlfYAAAAJ\">Ujun Jeong<\/a>, Bohan Jiang, Zhen Tan, H. Russell Bernard, and Huan Liu. &#8220;<a href=\"https:\/\/ieeexplore.ieee.org\/document\/10706594\">Descriptor: BlueTempNet &#8211; A Temporal Multi-network Dataset of Social Interactions in Bluesky Social<\/a>&#8220;, IEEE Data Descriptions,&nbsp;Digital Object Identifier: 10.1109\/IEEEDATA.2024.3474640.&nbsp; forthcoming<\/li>\n\n\n\n<li><a href=\"https:\/\/scholar.google.com\/citations?user=PI3myr8AAAAJ&amp;hl=en\">Kaize Ding<\/a>, Elnaz Nouri, Guoqing Zheng, Huan Liu, and Ryen White. &#8220;<a href=\"https:\/\/ieeexplore.ieee.org\/document\/10456587?source=authoralert\">Toward Robust Graph Semi-Supervised Learning against Extreme Data Scarcity<\/a>&#8220;, IEEE Transactions on Neural Networks and Learning Systems, Volume 35, Issue 9, pages 11661 &#8211; 11670, 29 February 2024. PubMed ID:&nbsp;<a href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/38421848\">38421848<\/a>, DOI:&nbsp;<a href=\"https:\/\/doi.org\/10.1109\/TNNLS.2024.3351938\">10.1109\/TNNLS.2024.3351938<\/a><\/li>\n\n\n\n<li>Junrui Liu, Tong Li, Zhen Yang, Di Wu, and Huan Liu. &#8220;Fusion Learning of Preference and Bias from Ratings and Reviews for Item Recommendation&#8221;, Data &amp; Knowledge Engineering, Vol. 150, March, 2024.&nbsp;<a href=\"https:\/\/doi.org\/10.1016\/j.datak.2024.102283\" target=\"_blank\" rel=\"noreferrer noopener\">https:\/\/doi.org\/10.1016\/j.datak.2024.102283<\/a><\/li>\n<\/ul>\n\n\n\n<p><strong>2023<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Amrita Bhattacharjee and Huan Liu. &#8220;<a href=\"http:\/\/kdd.org\/exploration_files\/p14-chatgpt_as_detector-camera-ready.pdf\">Fighting Fire with Fire: Can ChatGPT Detect AI-generated Text?<\/a>&#8220;, SIGKDD explorations, December 2023, Volume 25, Issue 1.<\/li>\n\n\n\n<li>Haiyang Y, Runtong Xu, Hui Zhang, Zhen Yang, and Huan Liu. &#8220;EV-FL: Efficient Verifiable Federated Learning with Weighted Aggregation for Industrial IoT Networks&#8221;, IEEE\/ACM Transactions on Networking, Forthcoming<\/li>\n\n\n\n<li><a href=\"https:\/\/scholar.google.com\/citations?user=PI3myr8AAAAJ&amp;hl=en\">Kaize Ding<\/a>, Jianling Wang, Jundong Li, James Caverlee, and Huan Liu. &#8220;Robust Graph Meta-learning for Weakly-supervised Few-shot Node Classificatio&#8221;, ACM TKDD, Forthcoming<\/li>\n\n\n\n<li>Zhe Xu, Kaize Ding, Yu-Xiong Wang, Huan Liu, Hanghang Tong. &#8220;Generalized Few-Shot Node Classification: Towards an Uncertainty-Based Solution&#8221;, Knowledge and Information Systems, Springer Nature. Forthcoming<\/li>\n\n\n\n<li>Garima Agrawal, Dimitri Bertsekas, Huan Liu. &#8220;Auction-Based Learning for Question Answering over Knowledge Graphs&#8221;,&nbsp;<a href=\"https:\/\/www.mdpi.com\/journal\/information\/sections\/Artificial_Intelligence\">Artificial Intelligence Section<\/a>, Journal of Information, MDPI. Forthcoming<\/li>\n\n\n\n<li>Shisong Yang, Yuwen Chen, Zhen Yang, Bowen Li, and Huan Liu. &#8220;<a href=\"https:\/\/ieeexplore.ieee.org\/document\/10127979\">Fast Secure Aggregation with High Dropout Resilience for Federated Learning<\/a>\u201d ,&nbsp;<a href=\"https:\/\/ieeexplore.ieee.org\/xpl\/RecentIssue.jsp?punumber=7511293\">IEEE Transactions on Green Communications and Networking<\/a>&nbsp;( Volume: 7,&nbsp;<a href=\"https:\/\/ieeexplore.ieee.org\/xpl\/tocresult.jsp?isnumber=10224556&amp;punumber=7511293\">Issue: 3<\/a>, September 2023) , pp: 1501-1514. May 17, 2023. DOI:&nbsp;<a href=\"https:\/\/doi.org\/10.1109\/TGCN.2023.3277251\" target=\"_blank\" rel=\"noreferrer noopener\">10.1109\/TGCN.2023.3277251<\/a><\/li>\n\n\n\n<li>Paras Sheth, Ruocheng Guo, Lu Cheng, Huan Liu, and Selcuk Candan. &#8220;Causal Disentanglement for Implicit Recommendations with Network Information&#8221;, ACM TKDD, Volume 17, Issue 7, Article No.: 94, pp 1-18. April 6, 2023.&nbsp;<a href=\"https:\/\/dl.acm.org\/doi\/10.1145\/3582435\">https:\/\/dl.acm.org\/doi\/10.1145\/3582435<\/a>,<\/li>\n\n\n\n<li>Qianru Wang, Bin Guo, Lu Cheng, Zhiwen Yu, Huan Liu. &#8220;CausalSE: Understanding Varied Spatial Effects with Missing Data Towards Adding New Bike-sharing Stations&#8221;, ACM Trans. on Knowledge Discovery in Data (TKDD). Online:17 May 2022; published: 17(2), article no. 20. pp 1-24. 20 March 2023.&nbsp;<a href=\"https:\/\/urldefense.com\/v3\/__https:\/\/doi.acm.org?doi=3536427__;!!IKRxdwAv5BmarQ!bMuYO_owdAV_QGxvyuEwMRL1TMj3sTYj3Z3SSWxjTTWB8OgTKYZkkWh-lMDzrvyntRb-eaN9IUM$\" target=\"_blank\" rel=\"noreferrer noopener\">https:\/\/doi.acm.org?doi=3536427<\/a><\/li>\n<\/ul>\n\n\n\n<p><strong>2022<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Garima Agrawal, Yuli Deng, Jongchan Park, Huan Liu, and Ying-Chih Chen. &#8220;<a href=\"https:\/\/www.mdpi.com\/2078-2489\/13\/11\/526\">Building Knowledge Graphs from Unstructured Texts: Applications and Impact Analyses in Cybersecurity Education<\/a>&#8220;, Special Issue of&nbsp;<a href=\"https:\/\/www.mdpi.com\/journal\/information\/special_issues\/knowledge_graph_technology\">Knowledge Graph Technology and Its Applications<\/a>. MDPI Information Novemeber 2022, 13(11), 526;&nbsp;<a href=\"https:\/\/doi.org\/10.3390\/info13110526\">https:\/\/doi.org\/10.3390\/info13110526<\/a><\/li>\n\n\n\n<li>Haiyang Yu, Zhen Yang, Shanshan Tu, Muhammad Waqas, and Huan Liu. &#8220;Blockchain-Based Offline Auditing for the Cloud in Vehicular Networks&#8221;,&nbsp;<a href=\"https:\/\/ieeexplore.ieee.org\/xpl\/RecentIssue.jsp?punumber=4275028\">IEEE Transactions on Network and Service Management<\/a>&nbsp;(TNSM) Volume: 19,&nbsp;<a href=\"https:\/\/ieeexplore.ieee.org\/xpl\/tocresult.jsp?isnumber=9917435&amp;punumber=4275028\">Issue: 3<\/a>, September 2022, pp 2944 &#8211; 2956. DOI:<strong>&nbsp;<\/strong><a href=\"https:\/\/doi.org\/10.1109\/TNSM.2022.3164549\" target=\"_blank\" rel=\"noreferrer noopener\">10.1109\/TNSM.2022.3164549<\/a><\/li>\n\n\n\n<li>Zhen Yang, Ming Zhou, Haiyang Yu, Richard O. Sinnott, and Huan Liu. &#8220;Efficient and Secure Federated Learning with Verifiable Weighted Average Aggregation&#8221;, IEEE Trans. on Network Science and Engineering (TNSE). Online: 13 September 2022. DOI:&nbsp;<a href=\"https:\/\/doi.org\/10.1109\/TNSE.2022.3206243\" target=\"_blank\" rel=\"noreferrer noopener\">10.1109\/TNSE.2022.3206243<\/a><\/li>\n\n\n\n<li>Qiang Sheng, Juan Cao, H. Russell Bernard, Kai Shu, Jintao Li, and Huan Liu. &#8220;Characterizing multi-domain false news and underlying user effects on Chinese Weibo&#8221;, Information Processing and Management, Elsevier, Vol: 59, Issue 4, July 2022.&nbsp;<a href=\"https:\/\/doi.org\/10.1016\/j.ipm.2022.102959\" target=\"_blank\" rel=\"noreferrer noopener\">https:\/\/doi.org\/10.1016\/j.ipm.2022.102959<\/a><\/li>\n\n\n\n<li><a href=\"https:\/\/scholar.google.com\/citations?user=PI3myr8AAAAJ&amp;hl=en\">Kaize Ding<\/a>, Kai Shu, Xuan Shan, Jundong Li, and Huan Liu. &#8220;Cross-Domain Graph Anomaly Detection&#8221;. IEEE Trans Neural Netw Learn Syst. Vol: 33, Number: 6, June, 2022. PMID: 3459655,&nbsp;DOI:&nbsp;<a href=\"https:\/\/doi.org\/10.1109\/tnnls.2021.3110982\" target=\"_blank\" rel=\"noreferrer noopener\">10.1109\/TNNLS.2021.3110982<\/a><\/li>\n\n\n\n<li>Jiaying Liu,&nbsp;<a href=\"https:\/\/scholar.google.com\/citations?user=HDFA2VYAAAAJ&amp;hl=en\">Feng Xi<\/a>a, Xu Feng, Jing Ren, and Huan Liu. `<a href=\"https:\/\/ieeexplore.ieee.org\/abstract\/document\/9709524\">`Deep Graph Learning for Anomalous Citation Detection<\/a>&#8220;,&nbsp;<a href=\"https:\/\/ieeexplore.ieee.org\/xpl\/RecentIssue.jsp?punumber=5962385\">IEEE Transactions on Neural Networks and Learning Systems<\/a>&nbsp;( Volume: 33,&nbsp;<a href=\"https:\/\/ieeexplore.ieee.org\/xpl\/tocresult.jsp?isnumber=9786556&amp;punumber=5962385\">Issue: 6<\/a>, June 2022). pp: 2543-2557. Feb 10, 2022. DOI:&nbsp;<a href=\"https:\/\/doi.org\/10.1109\/TNNLS.2022.3145092\" target=\"_blank\" rel=\"noreferrer noopener\">10.1109\/TNNLS.2022.3145092<\/a><\/li>\n\n\n\n<li><a>Qianru Wang<\/a>, Bin Guo, Lu Cheng, Liang Wang, Zhiwen Yu, and Huan Liu.&nbsp;&#8220;<a href=\"https:\/\/urldefense.com\/v3\/__https:\/\/ieeexplore.ieee.org\/document\/9547337?source=authoralert__;!!IKRxdwAv5BmarQ!fAphhRyoihl7l8CsK6Q9EGg1qlMO_tKuCznN_73qu7uXg8b_3DhVCjhx4GRlEvf6Qm57bqf99Q9r$\">Learning Shared Mobility-Aware Knowledge for Multiple Urban Travel Demands<\/a>&#8220;, IEEE Internet of Things Journal, Vol:9, Issue: 9, May 1, 2022. DOI:&nbsp;<a href=\"https:\/\/urldefense.com\/v3\/__https:\/\/ieeexplore.ieee.org\/document\/9547337?source=authoralert__;!!IKRxdwAv5BmarQ!fAphhRyoihl7l8CsK6Q9EGg1qlMO_tKuCznN_73qu7uXg8b_3DhVCjhx4GRlEvf6Qm57bqf99Q9r$\" target=\"_blank\" rel=\"noreferrer noopener\">10.1109\/JIOT.2021.3115174<\/a><\/li>\n<\/ul>\n\n\n\n<p><strong>2021<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Raha&nbsp;Moraffah, Paras Sheth, Mansooreh Karami, Anchit Bhattacharya, Qianru Wang, Anique Tahir, Adrienne Raglin, and Huan Liu. &#8220;Causal Inference for Time Series Analysis: Problems, Methods and Evaluation&#8221;, Knowledge and Information Systems (KAIS)<a href=\"https:\/\/arxiv.org\/abs\/2102.05829\">,<\/a>&nbsp;Vol: 63, Issue: 12, pp 3103 -\u2013 3138. Nov. 2021.&nbsp;<a href=\"https:\/\/doi.org\/10.1007\/s10115-021-01619-8\">https:\/\/doi.org\/10.1007\/s10115-021-01619-8<\/a>.&nbsp;<a href=\"https:\/\/arxiv.org\/abs\/2102.05829\">pdf<\/a><\/li>\n\n\n\n<li>Qianru Wang, Bin Guo, Yi Ouyang, Lu Cheng, Liang Wang, Zhiwen Yu, and Huan Liu. &#8220;Learning Shared Mobility-aware Knowledge for Multiple Urban Travel Demands,&#8221; in&nbsp;<em>IEEE Internet of Things Journal<\/em>, DOI:&nbsp;<a href=\"https:\/\/doi.org\/10.1109\/JIOT.2021.3115174\" target=\"_blank\" rel=\"noreferrer noopener\">10.1109\/JIOT.2021.3115174<\/a>.<\/li>\n\n\n\n<li><a href=\"https:\/\/scholar.google.com\/citations?hl=en&amp;user=9rpkTSkAAAAJ\">Lu Cheng<\/a>, Kush R. Varshney, and Huan Liu. &#8220;<a href=\"https:\/\/arxiv.org\/pdf\/2101.02032.pdf\">Socially Responsible AI Algorithms: Issues, Purposes, and Challenges<\/a>&#8220;, Journal of AI Research, Vol: 71, pp 1137-1181, August 2021 [140]<\/li>\n\n\n\n<li>Yalin Wang, Wen Zhang, Brittany Blair Braden, Gustavo Miranda, Kai Shu, Suhang Wang, and Huan Liu. &#8220;Integrating&nbsp; Multimodal and Longitudinal Neuroimaging Data with Multi-Source Network Representation Learning&#8221;, Neuroinformatics, forthcoming<\/li>\n\n\n\n<li><a href=\"http:\/\/www.cs.iit.edu\/~kshu\/\">Kai Shu<\/a>,&nbsp;Ahmed Hassan Awadallah,&nbsp;Susan Dumais,&nbsp;and Huan Liu. &#8220;Detecting Fake News with Weak Social Supervision&#8221;, IEEE Intelligent Systems, Vol:36, Issue: 4, pages: 96-103. July\/August 2021, DOI:&nbsp;<a href=\"https:\/\/urldefense.com\/v3\/__https:\/\/ieeexplore.ieee.org\/document\/9103278?source=authoralert__;!!IKRxdwAv5BmarQ!MO6Tp806brBLH6c7YNC4fxRGkl3rl--ZdcOVRCIxHKzz9H9j6d0sGqXEFgSPeBU$\" target=\"_blank\" rel=\"noreferrer noopener\">10.1109\/MIS.2020.2997781<\/a>.&nbsp;<a href=\"http:\/\/www.public.asu.edu\/~skai2\/files\/ieee_intelligent.pdf\">pdf<\/a>,&nbsp;&nbsp;<a href=\"https:\/\/venturebeat.com\/2020\/06\/01\/ai-tools-could-improve-fake-news-detection-by-analyzing-users-interactions-and-comments\/\">news report<\/a><\/li>\n\n\n\n<li>Liangtian Wan, Yuyuan Yuan, Feng Xia, and Huan Liu. &#8220;To Your Surprise: Identifying Serendipitous Collaborators,&#8221; IEEE Trans on Big Data, Vol: 7, Issue: 3, pp: 574-589, DOI: 10.1109\/TBDATA.2019.2921567. July 2021<\/li>\n\n\n\n<li>Ninghao Liu, Mengnan Du, Ruocheng Guo, Huan Liu, and Xia Hu. &#8220;Adversarial Attacks and Defenses: An Interpretation Perspective&#8221;,&nbsp;<a href=\"https:\/\/dl.acm.org\/toc\/sigkdd\/2021\/23\/1\">ACM SIGKDD Explorations Newsletter<\/a>,&nbsp;<a href=\"https:\/\/dl.acm.org\/toc\/sigkdd\/2021\/23\/1\">Volume 23, Issue 1<\/a>,June 2021,&nbsp;pp 86\u201399,&nbsp;<a href=\"https:\/\/doi.org\/10.1145\/3468507.3468519\">https:\/\/doi.org\/10.1145\/3468507.3468519<\/a><\/li>\n\n\n\n<li>Haiyang Yu, Qi Hu, Zhen Yang, and Huan Liu. &#8220;&#8221;Efficient Continuous Big Data Integrity Checking for Decentralized Storage&#8221;, IEEE Transactions on Network Science and Engineering, Vol: 8, Issue: 2, pp: 1658-1673, DOI:&nbsp;<a href=\"https:\/\/urldefense.com\/v3\/__https:\/\/ieeexplore.ieee.org\/document\/9384270?source=authoralert__;!!IKRxdwAv5BmarQ!IIFuDJiipxT1Tf7hgueP28vMxHkEnu17jCfAVb6veY2Nyqmo0P2ZY9exVT0jTQ$\" target=\"_blank\" rel=\"noreferrer noopener\">10.1109\/TNSE.2021.3068261<\/a>, April-June 2021 [135]<\/li>\n\n\n\n<li>Feng Xia, Ke Sun, Shuo Yu, Abdul Aziz, Liangtian Wan, Shirui Pan, and Huan Liu. &#8220;Graph Learning: A Survey&#8221;, IEEE Transactions on Artificial Intelligence (TAI), Vol: 2, Issue: 2, pages: 109-127, DOI: 10.1109\/TAI.2021.3076021.&nbsp;<a href=\"http:\/\/arxiv.org\/abs\/2105.00696\" target=\"_blank\" rel=\"noreferrer noopener\">http:\/\/arxiv.org\/abs\/2105.00696<\/a>. April 2021<\/li>\n\n\n\n<li><a href=\"https:\/\/scholar.google.com\/citations?user=9rpkTSkAAAAJ&amp;hl=en\">Lu Cheng<\/a>, Ruocheng Guo, Yasin N Silva, Deborah Hall, and Huan Liu. &#8220;<a href=\"https:\/\/www.researchgate.net\/profile\/Lu_Cheng39\/publication\/347571703_Modeling_Temporal_Patterns_of_Cyberbullying_Detection_with_Hierarchical_Attention_Networks\/links\/5fe22024a6fdccdcb8f3c5cd\/Modeling-Temporal-Patterns-of-Cyberbullying-Detection-with-Hierarchical-Attention-Networks.pdf\">Modeling Temporal Patterns of Cyberbullying Detection with Hierarchical Attention Networks<\/a>&#8221;,<a href=\"https:\/\/dl.acm.org\/toc\/tds\/2021\/2\/2\">ACM\/IMS Transactions on Data Science<\/a>,&nbsp;<a href=\"https:\/\/dl.acm.org\/toc\/tds\/2021\/2\/2\">Volume 2, Issue 2<\/a>,&nbsp;April 2021,&nbsp;Article No.: 8,&nbsp;pp 1\u201323,&nbsp;<a href=\"https:\/\/doi.org\/10.1145\/3441141\">https:\/\/doi.org\/10.1145\/3441141<\/a><\/li>\n\n\n\n<li>Chen Chen, Yinglong Xia, Hui Zang, Jundong Li, Huan Liu, Hanghang Tong. &#8220;<a href=\"https:\/\/link.springer.com\/article\/10.1007\/s10115-020-01511-x\">Incremental one-class collaborative filtering with co-evolving side networks<\/a>&#8220;, Knowledge and Information Systems 63 (1), 105-124<\/li>\n\n\n\n<li><a href=\"https:\/\/scholar.google.com\/citations?user=9rpkTSkAAAAJ&amp;hl=en\">Lu Cheng<\/a>, Y. N. Silva, D. Hall and H. Liu, &#8220;Session-based Cyberbullying Detection: Problems and Challenges,&#8221; in&nbsp;<em>IEEE Internet Computing<\/em>, March\/April 2021. Vol: 25, Issue: 2, pages: 66-72, doi: 10.1109\/MIC.2020.3032930.<\/li>\n<\/ul>\n\n\n\n<p><strong>2020<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Wei Wang, Tao Tang, Feng Xia, Zhiguo Gong, Zhikui Chen, Huan Liu. &#8220;<a href=\"https:\/\/ieeexplore.ieee.org\/abstract\/document\/9246261\/\">Collaborative Filtering with Network Representation Learning for Citation Recommendation<\/a>&#8220;,&nbsp; IEEE Transactions on Big Data (TBD), 2020\/10. DOI:&nbsp;<a href=\"https:\/\/doi.org\/10.1109\/TBDATA.2020.3034976\">10.1109\/TBDATA.2020.3034976<\/a>&nbsp;[130]<\/li>\n\n\n\n<li><a href=\"http:\/\/www.cs.iit.edu\/~kshu\/\">Kai Shu<\/a>, Amrita Bhattacharjee, Faisal Alatawi, Tahora H. Nazer, Kaize Ding, Mansooreh Karami, and Huan Liu. &#8220;Combating Disinformation in A Social Media Age&#8221;, WIREs Data Mining and Knowledge Discovery, August 15, 2020. [130]&nbsp;<a href=\"https:\/\/doi.org\/10.1002\/widm.1385\">https:\/\/doi.org\/10.1002\/widm.1385<\/a>&nbsp;<a href=\"https:\/\/www.public.asu.edu\/%7Ehuanliu\/Top%20Downloaded%20ArticleIeley2019-2020.pdf\">Wiley Top Downloaded Article<\/a><\/li>\n\n\n\n<li><a href=\"http:\/\/www.public.asu.edu\/~rguo12\/\">Ruocheng Guo<\/a>, Lu Cheng, Jundong Li, P. Richard Hahn, and Huan Liu. &#8220;A Survey of Learning Causality with Data: Problems and Methods&#8221;, ACM Computing Surveys (CSUR).&nbsp;&nbsp;July 2020,&nbsp;<a href=\"https:\/\/arxiv.org\/pdf\/1809.09337\">pdf<\/a>,&nbsp;Article No.: 75&nbsp;<a href=\"https:\/\/doi.org\/10.1145\/3397269\">https:\/\/doi.org\/10.1145\/3397269<\/a><\/li>\n\n\n\n<li><a href=\"https:\/\/arxiv.org\/search\/cs?searchtype=author&amp;query=Moraffah%2C+R\">Raha Moraffah<\/a>,&nbsp;<a href=\"https:\/\/arxiv.org\/search\/cs?searchtype=author&amp;query=Karami%2C+M\">Mansooreh Karami<\/a>,&nbsp;<a href=\"https:\/\/arxiv.org\/search\/cs?searchtype=author&amp;query=Guo%2C+R\">Ruocheng Guo<\/a>,&nbsp;<a href=\"https:\/\/arxiv.org\/search\/cs?searchtype=author&amp;query=Raglin%2C+A\">Adrienne Raglin<\/a>,&nbsp;and&nbsp;<a href=\"https:\/\/arxiv.org\/search\/cs?searchtype=author&amp;query=Liu%2C+H\">Huan Liu<\/a>. &#8220;Causal Interpretability for Machine Learning &#8211; Problems, Methods and Evaluation&#8221;, ACM&nbsp;<a href=\"http:\/\/www.kdd.org\/explorations\/\">SIGKDD Explorations<\/a>&nbsp;Newsletter, vol 22, no. 1, pp18 &#8211; 33. June 2020.&nbsp;<a href=\"https:\/\/doi.org\/10.1145\/3400051.3400058\">https:\/\/doi.org\/10.1145\/3400051.3400058<\/a>&nbsp;<a href=\"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3400051.3400058\">pdf<\/a><\/li>\n\n\n\n<li><a href=\"http:\/\/www.cs.iit.edu\/~kshu\/\">Kai Shu<\/a>, Deepak Mahudeswaran, Suhang Wang, Dongwon Lee, and Huan Liu. &#8220;FakeNewsNet: A Data Repository with News Content, Social Context and Dynamic Information for Studying Fake News on Social Media&#8221;, Journal of Big Data, Mary Ann Liebert, Inc. Publishers, 8(3), pp 171 &#8211; 188.&nbsp;&nbsp;<a href=\"http:\/\/www.public.asu.edu\/~skai2\/files\/FakeNewsNet_big_data.pdf\">pdf<\/a><\/li>\n\n\n\n<li>Yufeng Yu, Dingsheng Wan, Qun Zhao, and Huan Liu. &#8220;Detecting Pattern Anomalies in Hydrological Time Series with Weighted Probabilistic Suffix Trees&#8221;,&nbsp;<em>Water<\/em>&nbsp;<strong>2020<\/strong>,&nbsp;<em>12<\/em>, 1464;&nbsp;<a href=\"https:\/\/doi.org\/10.3390\/w12051464\">https:\/\/doi.org\/10.3390\/w12051464<\/a>.&nbsp;<a href=\"https:\/\/www.mdpi.com\/2073-4441\/12\/5\/1464\/pdf\">pdf<\/a>&nbsp;&nbsp; [125]<\/li>\n\n\n\n<li>Hai Huang and Huan Liu. &#8220;Feature selection for hierarchical classification via joint semantic and structural information of labels&#8221;, Knowledge-Based Systems, Elsevier, Vol 195, May 2020.&nbsp;&nbsp;<a href=\"https:\/\/doi.org\/10.1016\/j.knosys.2020.105655\" target=\"_blank\" rel=\"noreferrer noopener\">https:\/\/doi.org\/10.1016\/j.knosys.2020.105655<\/a><\/li>\n\n\n\n<li>Qun Zhao, Yuelong Zhu, Kai Shu, Dingsheng Wan, Yufeng Yu, Xudong Zhou, Huan Liu. &#8220;<a href=\"https:\/\/ieeexplore.ieee.org\/abstract\/document\/9078096\/\">Joint Spatial and Temporal Modeling for Hydrological Prediction<\/a>, IEEE Access. April 2020.<\/li>\n\n\n\n<li><a href=\"https:\/\/www.public.asu.edu\/%7Ehuanliu\/publications.html#\">Ghazaleh Beigi<\/a>&nbsp;and Huan Liu. &#8220;<a href=\"javascript:void(0)\">A Survey on Privacy in Social Media: Identification, Mitigation, and Applications<\/a>&#8220;,&nbsp; ACM Transactions on Data Science, 1 (1), 1-38, 2020.&nbsp;<a href=\"https:\/\/dl.acm.org\/doi\/abs\/10.1145\/3343038\">https:\/\/dl.acm.org\/doi\/abs\/10.1145\/3343038<\/a>&nbsp;<a href=\"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3343038\">pdf<\/a><\/li>\n\n\n\n<li><a href=\"https:\/\/www.public.asu.edu\/%7Ehuanliu\/publications.html#\">Ghazaleh Beigi<\/a>, Jiliang Tang, and Huan Liu. &#8220;Social Science Guided Feature Engineering: A Novel Approach to Signed Link Analysis&#8221;, ACM Transactions on Intelligent Systems and Technology (TIST) 11 (1), 1-27, 2020.&nbsp;<a href=\"https:\/\/dl.acm.org\/doi\/abs\/10.1145\/3364222\"><\/a><a href=\"https:\/\/doi.org\/10.1145\/3364222\">https:\/\/doi.org\/10.1145\/3364222<\/a>&nbsp;&nbsp;<a href=\"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3364222\">pdf<\/a><\/li>\n<\/ul>\n\n\n\n<p><strong>2019<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Liang Wu, Fred Morstatter, Kathleen, M. Carley, and Huan Liu. &#8220;Misinformation in Social Media: Definition, Manipulation, and Detection&#8221;, ACM SIGKDD Explorations Newsletter 21 (2), 80-90.&nbsp;<a href=\"https:\/\/www.public.asu.edu\/%7Ehuanliu\/papers\/Misinformation_LiangWu2019.pdf\">pdf<\/a>&nbsp;[120]<\/li>\n\n\n\n<li>&nbsp;Shuo Yu, Feng Xia, and Huan Liu. &#8220;Academic Team Formulation based on Liebig&#8217;s Barrel: Discovery of Anticask Effect&#8221;,&nbsp;<a href=\"http:\/\/ieeexplore.ieee.org\/xpl\/RecentIssue.jsp?punumber=6570650&amp;source=authoralert\">IEEE Trans on Computational Social Systems<\/a>. Vol 6 (5), 1083-1094, Oct., 2019. doi:&nbsp;<a href=\"https:\/\/ieeexplore.ieee.org\/document\/8736490?source=authoralert\" target=\"_blank\" rel=\"noreferrer noopener\">10.1109\/TCSS.2019.2913460<\/a><\/li>\n\n\n\n<li><a href=\"https:\/\/www.public.asu.edu\/%7Ehuanliu\/publications.html#\">Ghazaleh Beigi<\/a>&nbsp;and Huan Liu. &#8220;<a href=\"https:\/\/dl.acm.org\/citation.cfm?id=3293878\">Identifying Novel Privacy Issues of Online Users on Social Media Platforms<\/a>&#8220;, ACM SIGWEB Newsletter, Winter Issue, Article #4, 2019. doi&gt;<a href=\"https:\/\/doi.org\/10.1145\/3293874.3293878\">10.1145\/3293874.3293878<\/a><\/li>\n\n\n\n<li><a href=\"http:\/\/www.public.asu.edu\/~skai2\/\">Kai Shu<\/a>, Deepak Mahudeswaran, and Huan Liu. &#8220;FakeNewsTracker: A Tool for Fake News Collection, Detection, and Visualization&#8221;,&nbsp; Special Issue of Best of SBP, Computational and Mathematical Organization Theory (<a href=\"https:\/\/link.springer.com\/article\/10.1007\/s10588-018-09280-3?wt_mc=alerts.TOCjournals&amp;utm_source=toc&amp;utm_medium=email&amp;utm_campaign=toc_10588_25_1\">CMOT<\/a>), Springer, 25:60-71, 2019.&nbsp;<a href=\"https:\/\/rdcu.be\/9czZ\">pdf<\/a>,&nbsp;<a href=\"https:\/\/doi.org\/10.1007\/s10588-018-09280-3\">DOI<\/a><\/li>\n<\/ul>\n\n\n\n<p><strong>2018<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><a href=\"https:\/\/faculty.ist.psu.edu\/szw494\/\">Suhang Wang<\/a>, Charu Aggarwal, and Huan Liu. &#8220;<a href=\"https:\/\/dl.acm.org\/citation.cfm?id=3232230\">Random-Forest-Inspired Neural Networks<\/a>&#8220;, ACM Trans on Intelligent Systems and Technology (TIST), 9(6), Article No. 69.&nbsp;doi&gt;<a href=\"https:\/\/doi.org\/10.1145\/3232230\">10.1145\/3232230<\/a><\/li>\n\n\n\n<li><a href=\"http:\/\/www.public.asu.edu\/~liangwu1\/\">Liang Wu<\/a>, Fred Morstatter, and Huan Liu. &#8220;<a href=\"https:\/\/link.springer.com\/article\/10.1007\/s10579-018-9416-0\">SlangSD: building, expanding and using a sentiment dictionary of slang words for short-text sentiment classfication<\/a>&#8221; , Springer Netherlands Language Resources and Evaluation, 52(3), 838-852. 9\/1\/2018. [115]<\/li>\n\n\n\n<li>Huan Liu. &#8220;<a href=\"https:\/\/www.frontiersin.org\/articles\/10.3389\/fdata.2018.00001\/full\">Beyond the Scale of Big Data<\/a>&#8220;, Front. Big Data 1:1. &nbsp;<a href=\"https:\/\/doi.org\/10.3389\/fdata.2018.00001\">https:\/\/doi.org\/10.3389\/fdata.2018.00001<\/a>&nbsp;10 July 2018<\/li>\n\n\n\n<li>X Meng, S Wang, K Shu, J Li, B Chen, H Liu, Y Zhang .&#8220;<a href=\"https:\/\/link.springer.com\/article\/10.1007\/s11280-018-0620-z\">Towards privacy preserving social recommendation under personalized privacy settings<\/a>&#8220;, Springer US, World Wide Web, 1-29, 2018.<\/li>\n\n\n\n<li>Fred Morstatter, Liang Wu, Uraz Yavanoglu, Stephen R. Corman, and Huan Liu. &#8220;<a href=\"https:\/\/dl.acm.org\/citation.cfm?id=3204948\">Identifying Framing Bias in Online News<\/a>&#8220;, ACM Trans on Social Computing, Volu 1 Issue 2, Article No. 5, June 2018. doi&gt;<a href=\"https:\/\/doi.org\/10.1145\/3204948\">10.1145\/3204948<\/a><\/li>\n\n\n\n<li>Fred Morstatter and Huan Liu. &#8220;<a href=\"http:\/\/jmlr.org\/papers\/v18\/17-069.html\">In Search of Coherence and Consensus: Measuring the Interpretability of Statistical Topics<\/a>&#8220;, Journal of Machine Learning Research (JMLR), 18(169):1-32, 2018<\/li>\n\n\n\n<li>Zhen Yang, Jiliang Tang, and Huan Liu. &#8220;Cloud Information Retrieval: Model Description and Scheme Design&#8221;, IEEE Access, DOI: 10.1109\/ACCESS.2018.2797131. Forthcoming [110]<\/li>\n\n\n\n<li><a href=\"http:\/\/www.public.asu.edu\/~swang187\/\">Suhang Wang<\/a>, Jiliang Tang, and Yilin Wang, and Huan Liu. &#8220;Exploring Hierarchical Structures for Recommender Systems&#8221;, IEEE TKDE, Volume: 30, Issue: 6, pp 1022-1035. June 2018. DOI: 10.1109\/TKDE.2018.2789443.<\/li>\n\n\n\n<li>Ling Jian, Jundong Li, and Huan Liu. &#8220;Exploiting Multi-Label Information for Noise Resilient Feature Selection&#8221;, ACM TIST, Forthcoming<\/li>\n\n\n\n<li>Ling Jian,&nbsp;<a href=\"http:\/\/www.public.asu.edu\/~jundongl\/\">Jundong Li<\/a>, and Huan Liu. &#8220;<a href=\"http:\/\/rdcu.be\/uDgI\">Toward online node classification on streaming networks<\/a>&#8220;, Journal of Data Mining and Knowledge Discovery (DMKD), Springer Nature.&nbsp; First Online: July 2017. Volume 32, Issue 1, pp 231-257,&nbsp; January 2018. DOI 10.1007\/s10618-017-0533-7.<\/li>\n\n\n\n<li><a href=\"http:\/\/www.public.asu.edu\/~jundongl\/\">Jundong Li<\/a>,&nbsp;<a href=\"http:\/\/dblp.uni-trier.de\/pers\/hd\/c\/Cheng:Kewei\">Kewei Cheng<\/a>,&nbsp;<a href=\"http:\/\/www.public.asu.edu\/~swang187\">Suhang Wang<\/a>,&nbsp;<a href=\"http:\/\/www.public.asu.edu\/~fmorstat\/\">Fred Morstatter<\/a>,&nbsp;<a href=\"http:\/\/dblp.uni-trier.de\/pers\/hd\/t\/Trevino:Robert_P=\">Robert P. Trevino<\/a>,&nbsp;<a href=\"http:\/\/www.jiliang.xyz\/\">Jiliang Tang<\/a>,&nbsp;Huan Liu. &#8220;&nbsp;Feature Selection: A Data Perspective&#8221;, ACM Computing Surveys (CSUR), Volume 50, Issue 6, January 2017. Article No. 94. DOI&nbsp;<a href=\"https:\/\/doi.org\/10.1145\/3136625\">10.1145\/3136625<\/a>.<\/li>\n<\/ul>\n\n\n\n<p><strong>2017<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><a href=\"http:\/\/www.public.asu.edu\/~skai2\/\">Kai Shu<\/a>, Amy Sliva, Suhang Wang, Jiliang Tang, and Huan Liu. &#8220;Fake News Detection on Social Media: A Data Mining Perspective&#8221;,&nbsp;<a href=\"http:\/\/www.kdd.org\/Explorations\/view\/june-2017-volume-19-issue-1\">SIGKDD Explorations, 19(1)<\/a>:22-36, June, 2017.&nbsp;<a href=\"https:\/\/arxiv.org\/abs\/1708.01967\" target=\"_blank\" rel=\"noreferrer noopener\">pdf<\/a>&nbsp;[105]<\/li>\n\n\n\n<li><a href=\"http:\/\/www.public.asu.edu\/~thossein\/\">Tahora H. Nazer<\/a>, Guoliang Xue, Jiyu Sheng, and Huan Liu. &#8220;Intelligent Disaster Response via Social Media Analysis &#8211; A Survey&#8221;,&nbsp;<a href=\"http:\/\/www.kdd.org\/Explorations\/view\/june-2017-volume-19-issue-1\">SIGKDD Explorations, 19(1)<\/a>:46-59, June, 2017.&nbsp;<a href=\"http:\/\/arxiv.org\/abs\/1709.02426\">pdf<\/a><\/li>\n\n\n\n<li>Suhas Ranganath, Xia B Hu, Jiliang Tang, Suhang Wang, and Huan Liu. &#8220;Understanding and Identifying Rhetorical Questions in Social Media&#8221;, ACM Transcation on Intelligent Systems and Technology (<a href=\"http:\/\/tist.acm.org\/\">TIST<\/a>). Forthcoming. pdf<\/li>\n\n\n\n<li>Yun Li, Tao Li, and Huan Liu. &#8220;Recent Advances in Feature Selection and Its Applications&#8221;, Springer, Knowledge and Information Systems (<a href=\"http:\/\/kais.bigke.org\/\">KAIS<\/a>). pp 1-27, May 2017. DOI 10.1007\/s10115-017-1059-8.&nbsp;<\/li>\n\n\n\n<li>Suhas Ranganth, Suhang Wang, Xia Hu, Jiliang Tang, and Huan Liu. &#8220;Facilitating Time Critical Information Seeking in Social Media&#8221;, IEEE Trans on Knowledge and Data Engineering (<a href=\"https:\/\/www.computer.org\/web\/tkde\">TKDE<\/a>). Forthcoming. pdf<\/li>\n\n\n\n<li><a href=\"http:\/\/www.fredmorstatter.com\/\">Fred Morstatter<\/a>&nbsp;and Huan Liu. &#8220;Discovering, Assessing, and Mitigating Data Bias in Social Media&#8221;,&nbsp;<a href=\"https:\/\/www.journals.elsevier.com\/online-social-networks-and-media\/\">Elsevier Journal of Online Social Networks and Media<\/a>.&nbsp; Volume 1, Pages: 1-13. June 2017. pdf [100]<\/li>\n\n\n\n<li><a href=\"http:\/\/www.fredmorstatter.com\/\">Fred Morstatter<\/a>, Liang Wu, Uraz Yavanoglu, Stephen S. Corman, and Huan Liu. &#8220;Identifying Framing Bias in Online News&#8221;,&nbsp;<a href=\"http:\/\/tsc.acm.org\/\">ACM Transactions on Social Computing<\/a>&nbsp;(TSC). Forthcoming. pdf<\/li>\n\n\n\n<li><a href=\"http:\/\/www.public.asu.edu\/~jundongl\/\">Jundong Li<\/a>&nbsp;and Huan Liu. &#8220;Challenges of Feature Selection for Big Data Analytics&#8221;, Special Issue on Big Data,&nbsp;<a href=\"https:\/\/www.computer.org\/intelligent-systems\/\">IEEE Intelligent Systems<\/a>. 32 (2), 9-15. 2017<\/li>\n\n\n\n<li>Feng Xia, Wei Wang, Teshome Megersa Bekele, and Huan Liu. &#8220;Big Scholarly Data: A Survey&#8221;,&nbsp;<a href=\"http:\/\/ieeexplore.ieee.org\/document\/7809016\/\">IEEE Trans on Big Data<\/a>, Issue:99, Page(s): 1. January 2017. DOI: 10.1109\/TBDATA.2016.2641460.<\/li>\n<\/ul>\n\n\n\n<p><strong>2016<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><a href=\"http:\/\/www.public.asu.edu\/~skai2\">Kai Shu<\/a>,&nbsp;Suhang Wang, Jiliang Tang, Reza Zafarani and Huan Liu. &#8220;User Identity Linkage across Online Social Networks: A Review&#8221;,&nbsp;<a href=\"http:\/\/www.kdd.org\/explorations\">ACM SIGKDD Explorations<\/a>. Volume 8, Number 2, December 2016. Pages: 5-17.&nbsp;<a href=\"http:\/\/www.public.asu.edu\/~skai2\/files\/kdd_exp_kai.pdf\">&nbsp;pdf<\/a><\/li>\n\n\n\n<li><a href=\"http:\/\/www.public.asu.edu\/~fmorstat\/\">Fred Morstatter<\/a>&nbsp;and Huan Liu. &#8220;<a href=\"http:\/\/dl.acm.org\/citation.cfm?id=2935752\">Replacing Mechanical Turkers? Challenges in the Evaluation of Models with Semantic Properties<\/a>&#8220;, Journal of Data and Information Quality (JDIQ), Volume 7 Issue 4, October 2016, Article No. 15. DOI<a href=\"http:\/\/dx.doi.org\/10.1145\/2935752\">10.1145\/2935752<\/a>. [95]<\/li>\n\n\n\n<li><a href=\"http:\/\/faculty.cs.tamu.edu\/xiahu\/\">Xia Hu<\/a>, Peter Reaven, Aramesh Saremi, Ninghao Liu, Mohammed Abbasi, Huan Liu, and Raymond Migrino. &#8220;Machine Learning to Predict Rapid Progression of Carotid Atherosclerosis in Patients with Impaired Glucose Tolerance&#8221;,&nbsp;<a href=\"http:\/\/www.bsb.eurasipjournals.com\/content\/2016\/1\/14\">EURASIP Journal on Bioinformatics and Systems Biology<\/a>. 2016:14. DOI 10.1186\/s13637-016-0049-6.<\/li>\n\n\n\n<li>Huan Liu,&nbsp;<a href=\"http:\/\/www.public.asu.edu\/~fmorstat\/\">Fred Morstatter<\/a>, Jiliang Tang, and Reza Zafarani. &#8220;The good, the bad, and the ugly: uncovering novel research opportunities in social media mining&#8221;, in Trends of Data Science, International Journal on Data Science and Analytics, Springer International Publishing Switzerland. September, 2016.&nbsp;<a href=\"http:\/\/rdcu.be\/j7mB\">DOI&nbsp;10.1007\/s41060-016-0023-0<\/a><\/li>\n\n\n\n<li><a href=\"http:\/\/www.cse.msu.edu\/~tangjili\/\">Jiliang Tang<\/a>, Yi Chang, Charu Aggarwal, and Huan Liu. &#8220;<a href=\"http:\/\/arxiv.org\/abs\/1511.07569\">A Survey of Signed Network Mining in Social Media<\/a>&#8220;,&nbsp;<a href=\"http:\/\/dl.acm.org\/citation.cfm?id=2956185\">ACM Computing Surveys<\/a>&nbsp;(CSUR), Volume 49 Issue 3, August 2016, Article No. 42.&nbsp;&nbsp;<a href=\"http:\/\/arxiv.org\/abs\/1511.07569\">arXiv:1511.07569<\/a><\/li>\n\n\n\n<li>Peng Cui, Huan Liu, Charu Aggarwal, and Fei Wang. &#8220;Uncovering and Predicting Human Behaviors&#8221;, Intelligent Systems, 31 (2), 77-88, 2016<\/li>\n\n\n\n<li>Wei Wei, K Joseph, Huan Liu, Kathleen M Carley. &#8220;Exploring Characteristics of Suspended Users and Network Stability on Twitter&#8221;,&nbsp;<a href=\"https:\/\/link.springer.com\/epdf\/10.1007\/s13278-016-0358-5?author_access_token=93SXshuYs70jqCj3B_syXve4RwlQNchNByi7wbcMAY7jokzRPyw0GXeXgosOQhiB1G56wXEBwmKDYze9yw5LUAcjMiCENbb3gBL3h29tu2n-bqj9UlsvpFWxfj4JC7xQXbXfw2L9Ist9whI-sLFLgg%3D%3D\">Social Network Analysis and Mining, 6(1)<\/a>, 51, Springer, 2016. [90]<\/li>\n\n\n\n<li>Yu Cheng, Ankit Agarawal, Huan Liu, Alok Choudhary. &#8220;<a href=\"http:\/\/onlinelibrary.wiley.com\/wol1\/doi\/10.1002\/sam.11309\/abstract\">Legislative Prediction with Dual Uncertainty Minimization from Heterogeneous Information<\/a>&#8220;, Special Issue of \u201cBest of SDM 2015\u201d&nbsp; in Statistical Analysis and Data Mining: The ASA Data Science Journal, Wiley. Forthcoming.&nbsp;DOI:&nbsp;10.1002\/sam.11309.&nbsp;<\/li>\n\n\n\n<li><a href=\"http:\/\/www.public.asu.edu\/~jundongl\/\">Jundong Li<\/a>,&nbsp;<a href=\"http:\/\/dblp.uni-trier.de\/pers\/hd\/c\/Cheng:Kewei\">Kewei Cheng<\/a>,&nbsp;<a href=\"http:\/\/www.public.asu.edu\/~swang187\">Suhang Wang<\/a>,&nbsp;<a href=\"http:\/\/www.public.asu.edu\/~fmorstat\/\">Fred Morstatter<\/a>,&nbsp;<a href=\"http:\/\/dblp.uni-trier.de\/pers\/hd\/t\/Trevino:Robert_P=\">Robert P. Trevino<\/a>,&nbsp;<a href=\"http:\/\/www.jiliang.xyz\/\">Jiliang Tang<\/a>,&nbsp;Huan Liu:&nbsp;Feature Selection: A Data Perspective.&nbsp;<a href=\"http:\/\/dblp.uni-trier.de\/db\/journals\/corr\/corr1601.html#LiCWMTTL16\">CoRR&nbsp;abs\/1601.07996<\/a>&nbsp;(2016)<\/li>\n\n\n\n<li>Jun-Jie Jiang, Zi-Gang Huang, Liang Huang, Huan Liu, Ying-Cheng Lai. &#8220;Directed dynamical influence is more detectable with noise&#8221;, Scientific Reports&nbsp;2016; 6: 24088.PMCID:&nbsp;<a href=\"http:\/\/www.ncbi.nlm.nih.gov\/pmc\/articles\/PMC4828632\/\">PMC4828632<\/a>.&nbsp;Published online 2016 Apr 12.&nbsp;doi:&nbsp;&nbsp;<a href=\"http:\/\/dx.doi.org\/10.1038\/srep24088\">10.1038\/srep24088<\/a><\/li>\n\n\n\n<li><a href=\"http:\/\/dblp.uni-trier.de\/pers\/hd\/c\/Cui:Peng\">Peng Cui<\/a>,&nbsp;Huan Liu,&nbsp;<a href=\"http:\/\/dblp.uni-trier.de\/pers\/hd\/a\/Aggarwal:Charu\">Charu Aggarwal<\/a>,&nbsp;<a href=\"http:\/\/dblp.uni-trier.de\/pers\/hd\/w\/Wang:Fei\">Fei Wang<\/a>:&nbsp;Online Behavioral Analysis and Modeling [Guest Editorial].<a href=\"http:\/\/dblp.uni-trier.de\/db\/journals\/expert\/expert31.html#CuiLAW16\">IEEE Intelligent Systems&nbsp;31(1)<\/a>:&nbsp;2-4&nbsp;(2016)<\/li>\n\n\n\n<li><a href=\"http:\/\/dmml.asu.edu\/users\/reza\/\">Reza Zafarani&nbsp;<\/a>and Huan Liu. &#8220;Users Joining Multiple Sites: Friendship and Popularity Variations across Sites&#8221;, Elsevir Journal of&nbsp;<a href=\"http:\/\/dblp.uni-trier.de\/db\/journals\/inffus\/inffus28.html#ZafaraniL16\">Information Fusion 28<\/a>:&nbsp;83-89&nbsp;(2016). pdf&nbsp; [85]<\/li>\n<\/ul>\n\n\n\n<p><strong>2015<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><a href=\"http:\/\/www.public.asu.edu\/~xiahu\">Xia Hu<\/a>, Lei Tang, and Huan Liu. &#8220;Embracing Information Explosion without Choking: Clustering and Labeling in Microblogging&#8221;, IEEE Trans. on Big Data (TBD)&nbsp;<a href=\"http:\/\/dblp.uni-trier.de\/db\/journals\/tbd\/tbd1.html#HuTL15\">1(1)<\/a>:&nbsp;35-46&nbsp;(2015). pdf,<\/li>\n\n\n\n<li><a href=\"http:\/\/dblp.uni-trier.de\/pers\/hd\/a\/Agarwal:Nitin\">Nitin Agarwal<\/a>,&nbsp;<a href=\"http:\/\/dblp.uni-trier.de\/pers\/hd\/a\/Andrist:Sean\">Sean Andrist<\/a>,&nbsp;<a href=\"http:\/\/dblp.uni-trier.de\/pers\/hd\/b\/Bohus:Dan\">Dan Bohus<\/a>,&nbsp;<a href=\"http:\/\/dblp.uni-trier.de\/pers\/hd\/f\/Fang:Fei\">Fei Fang<\/a>,&nbsp;<a href=\"http:\/\/dblp.uni-trier.de\/pers\/hd\/f\/Fenstermacher:Laurie\">Laurie Fenstermacher<\/a>,&nbsp;<a href=\"http:\/\/dblp.uni-trier.de\/pers\/hd\/k\/Kagal:Lalana\">Lalana Kagal<\/a>,&nbsp;<a href=\"http:\/\/dblp.uni-trier.de\/pers\/hd\/k\/Kido:Takashi\">Takashi Kido<\/a>,&nbsp;<a href=\"http:\/\/dblp.uni-trier.de\/pers\/hd\/k\/Kiekintveld:Christopher\">Christopher Kiekintveld<\/a>,<a href=\"http:\/\/dblp.uni-trier.de\/pers\/hd\/l\/Lawless:William_F=\">William F. Lawless<\/a>,&nbsp;Huan Liu,&nbsp;<a href=\"http:\/\/dblp.uni-trier.de\/pers\/hd\/m\/McCallum:Andrew\">Andrew McCallum<\/a>,&nbsp;<a href=\"http:\/\/dblp.uni-trier.de\/pers\/hd\/p\/Purohit:Hemant\">Hemant Purohit<\/a>,&nbsp;<a href=\"http:\/\/dblp.uni-trier.de\/pers\/hd\/s\/Seneviratne:Oshani\">Oshani Seneviratne<\/a>,&nbsp;<a href=\"http:\/\/dblp.uni-trier.de\/pers\/hd\/t\/Takadama:Keiki\">Keiki Takadama<\/a>,&nbsp;<a href=\"http:\/\/dblp.uni-trier.de\/pers\/hd\/t\/Taylor:Gavin\">Gavin Taylor<\/a>:&nbsp;Reports on the 2015 AAAI Spring Symposium Series.&nbsp;<a href=\"http:\/\/dblp.uni-trier.de\/db\/journals\/aim\/aim36.html#AgarwalABFFKKKL15\">AI Magazine&nbsp;36(3)<\/a>:&nbsp;113-119&nbsp;(2015)<\/li>\n\n\n\n<li><a href=\"http:\/\/dmml.asu.edu\/users\/reza\/\">Reza Zafarani&nbsp;<\/a>and Huan Liu. &#8220;User Identification across Social Media&#8221;,&nbsp; ACM Transactions on Knowledge Discovery from Data&nbsp;<a href=\"http:\/\/dblp.uni-trier.de\/db\/journals\/tkdd\/tkdd10.html#ZafaraniTL15\">TKDD&nbsp;10(2)<\/a>:&nbsp;16&nbsp;(2015). pdf<\/li>\n\n\n\n<li><a href=\"http:\/\/dblp.uni-trier.de\/pers\/hd\/q\/Qu:Lie\">Lie Qu<\/a>,&nbsp;<a href=\"http:\/\/dblp.uni-trier.de\/pers\/hd\/w\/Wang:Yan\">Yan Wang<\/a>,&nbsp;<a href=\"http:\/\/dblp.uni-trier.de\/pers\/hd\/o\/Orgun:Mehmet_A=\">Mehmet A. Orgun<\/a>,&nbsp;<a href=\"http:\/\/dblp.uni-trier.de\/pers\/hd\/l\/Liu:Ling\">Ling Liu<\/a>,&nbsp;Huan Liu,&nbsp;<a href=\"http:\/\/dblp.uni-trier.de\/pers\/hd\/b\/Bouguettaya:Athman\">Athman Bouguettaya<\/a>. &#8220;CCCloud: Context-Aware and Credible Cloud Service Selection Based on Subjective Assessment and Objective Assessment&#8221;.&nbsp;<a href=\"http:\/\/dblp.uni-trier.de\/db\/journals\/tsc\/tsc8.html#QuWOLLB15\">IEEE T. Services Computing&nbsp;8(3)<\/a>:&nbsp;369-383&nbsp;(2015).<\/li>\n\n\n\n<li><a href=\"http:\/\/www.public.asu.edu\/~fmorstat\/\">Fred Morstatter<\/a>, Huiji Gao, and Huan Liu. &#8220;<a href=\"ftp:\/\/ftp.research.microsoft.com\/pub\/debull\/A15june\/p4.pdf\">Discovering Location Information in Social Media<\/a>&#8220;, Special Issue on&nbsp;<a href=\"ftp:\/\/ftp.research.microsoft.com\/pub\/debull\/A15june\/issue1.htm\">Location-Based Social Media Analysis<\/a>, Editor: XiaoFang Zhou, IEEE Computer Science, Data Engineering Bulletin, 38(2), pp 4-13, June 2015. [80]<\/li>\n\n\n\n<li><a href=\"http:\/\/www.cse.msu.edu\/~tangjili\/\">Jiliang Tang<\/a>, Huiji Gao, Atish Dasarma, Yingzhou Bi, and Huan Liu. &#8220;Trust Evolution: Modeling and Its Applications&#8221;, IEEE Transactions on Knowledge and Data Engineering (TKDE).&nbsp;<a href=\"http:\/\/dblp.uni-trier.de\/db\/journals\/tkde\/tkde27.html#TangGSBL15\">27(6)<\/a>:&nbsp;1724-1738&nbsp;(2015). pdf<\/li>\n\n\n\n<li><a href=\"http:\/\/dmml.asu.edu\/users\/reza\/\">Reza Zafarani<\/a>&nbsp;and Huan Liu. &#8220;<a href=\"http:\/\/dx.doi.org\/10.1145\/2666680\">Evaluation without Ground Truth in Social Media Research<\/a>&#8220;, Communications of ACM, Volume 58 Issue 6, June 2015 Pages 54-60.&nbsp;<a href=\"http:\/\/dmml.asu.edu\/users\/reza\/publications\/files\/SocialMediaEvaluation.pdf\">pdf<\/a>,&nbsp;<a href=\"http:\/\/www.ccf.org.cn\/sites\/ccf\/xhdtnry.jsp?contentId=2872975896147\">Chinese Translation<\/a><\/li>\n\n\n\n<li><a href=\"http:\/\/www.public.asu.edu\/~hgao16\/\">Huiji Gao<\/a>,&nbsp;Jiliang Tang&nbsp;and Huan Liu.&#8220;Solving the Cold Start Problem in Location Recommendation with Geo-Social Correlations&#8221;, Data mining and Knowledge Discovery (DMKD), Springer.&nbsp;<a href=\"http:\/\/dblp.uni-trier.de\/db\/journals\/datamine\/datamine29.html#GaoTL15\">29(2)<\/a>:&nbsp;299-323&nbsp;(2015) .&nbsp;<a href=\"http:\/\/www.public.asu.edu\/~hgao16\/papers\/DMKD_Gao_2013.pdf\">pdf<\/a>&nbsp;<\/li>\n<\/ul>\n\n\n\n<p>2014<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><a href=\"http:\/\/www.public.asu.edu\/~pgundech\/\">Pritam Gundecha<\/a>&nbsp;, Geoffrey Barbier,&nbsp;Jiliang Tang,&nbsp;and Huan Liu. &#8220;&#8217;User Vulnerability and its Reduction on a Social Networking Site&#8221;, ACM Transactions on Knowledge Discovery from Data (TKDD). 9(2): Pages 12:1-12:25, 2014.&nbsp;<a href=\"http:\/\/www.public.asu.edu\/~pgundech\/\/papers\/pritamTKDD14.pdf\">pdf<\/a><\/li>\n\n\n\n<li><a href=\"http:\/\/www.cse.msu.edu\/~tangjili\/\">Jiliang Tang<\/a>&nbsp;and Huan Liu.&#8220;An Unsupervised Feature Selection Framework for Social Media Data&#8221;, IEEE Transactions on Knowledge and Data Engineering (TKDE). 26(12): 2914-1927, 2014.&nbsp;<a href=\"http:\/\/www.cse.msu.edu\/~tangjili\/publication\/LUFS_TKDE.pdf\">pdf&nbsp;<\/a>[75]<\/li>\n\n\n\n<li>Kathleen M. Carley,&nbsp;J\u00fcrgen Pfeffer,&nbsp;Fred Morstatter,&nbsp;Huan Liu. &#8220;Embassies burning: toward a near-real-time assessment of social media using geo-temporal dynamic network analytics&#8221;&nbsp;<a href=\"http:\/\/www.informatik.uni-trier.de\/~ley\/db\/journals\/snam\/snam4.html#CarleyPML14\">Social Netw. Analys. Mining 4<\/a>(1) (2014)<\/li>\n\n\n\n<li>Jiliang Tang and Huan Liu. &#8220;Feature Selection for Social Media Data&#8221;, ACM Transactions on Knowledge Discvoery from Data (TKDD). 8(4) Pages 19:1 &#8211; 19:27, 2014.&nbsp;<a href=\"http:\/\/www.cse.msu.edu\/~tangjili\/publication\/TKDD_fssm.pdf\">pdf<\/a><\/li>\n\n\n\n<li>Zhi-Dan Zhao, Zi-Gang Huang, Liang Huang, Huan Liu, Ying-Cheng Lai. &#8220;Scaling and correlation of human movements in cyberspace and physical space&#8221;, Physical Review E 90 (5), 050802.<\/li>\n\n\n\n<li><a href=\"http:\/\/dmml.asu.edu\/users\/reza\/\">Reza Zafarani<\/a>&nbsp;and Huan Liu. &#8220;<a href=\"http:\/\/dmml.asu.edu\/users\/reza\/publications\/files\/BehaviorAnalysis.pdf\">Behavior Analysis in Social Media<\/a>&#8220;, IEEE Intelligent Systems, 29(4): 9-11, 2014.&nbsp;<a href=\"http:\/\/dmml.asu.edu\/users\/reza\/publications\/files\/BehaviorAnalysis.pdf\">pdf<\/a><\/li>\n\n\n\n<li>Xinwang Liu, Lei Wang, Jian Zhang, Jianping Yin, and Huan Liu, &#8220;Global and Local Structure Preservation for Feature Selection&#8221;, IEEE Transactions on Neural Networks and Learning Systems. 25(6): 1083-1095, 2014.&nbsp;<a href=\"http:\/\/www.uow.edu.au\/~leiw\/share_files\/TNNLS-2013-P-1562.pdf\">pdf<\/a>&nbsp;[70]<\/li>\n\n\n\n<li>Dror Y. Kenett,&nbsp;<a href=\"http:\/\/www.public.asu.edu\/~fmorstat\/\">Fred Morstatter<\/a>, H. Eugene Stanley, and Huan Liu.&nbsp;&#8220;Discovering Social Events through Online Attention&#8221;, PLOS ONE, July 2014.&nbsp;<a href=\"http:\/\/www.plosone.org\/article\/info%3Adoi%2F10.1371%2Fjournal.pone.0102001\">paper access<\/a><\/li>\n\n\n\n<li><a href=\"http:\/\/www.public.asu.edu\/~skumar34\/\">Shamanth Kumar<\/a>, Fred Morstatter, and Huan Liu. &#8220;<a href=\"http:\/\/stcsn.ieee.net\/e-letter\/vol-2-no-1\/monitoring-social-media-for-humanitarian-assistance-and-disaster-relief\">Monitoring Social Media for Humanitarian Assistance and Disaster Relief<\/a><a href=\"https:\/\/sites.google.com\/a\/ieee.net\/stc-social-networking\/e-letter\/vol-2-no-1\/monitoring-social-media-for-humanitarian-assistance-and-disaster-relief\"><\/a>&#8220;, invited contribution, IEEE Special Technical Community Social Networking,&nbsp;<a href=\"http:\/\/stcsn.ieee.net\/e-letter\/vol-2-no-1\">STCSN E-Letter Vol. 2 No. 1<\/a>, March 12, 2014.<\/li>\n\n\n\n<li>Shijin Li, Jianbin Qiu, Xinxin Yang, Huan Liu, DingshengWan, Yuelong Zhu: A novel approach to hyperspectral band selection based on spectral shape similarity analysis and fast branch and bound search. Eng. Appl. of AI 27: 241-250 (2014)<\/li>\n\n\n\n<li>Lei Wang, Luping Zhou, Chunhua Shen, Lingqiao Liu, Huan Liu: A Hierarchical Word-Merging Algorithm with Class Separability Measure. IEEE Trans. Pattern Anal. Mach. Intell. 36(3): 417-435 (2014)<\/li>\n<\/ul>\n\n\n\n<p>2013<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>&nbsp;Jiliang Tang, Yi Chang, and Huan Liu. &#8220;Mining Social Media with Social Theories: A Survey&#8221;, SIGKDD explorations, 15(2): 20 &#8211; 29. December 2013.&nbsp;<a href=\"http:\/\/www.cse.msu.edu\/~tangjili\/publication\/Tang-Chang-Liu.pdf\">pdf<\/a>&nbsp;[65]<\/li>\n\n\n\n<li><a href=\"http:\/\/www.cse.msu.edu\/~tangjili\/\">Jiliang Tang<\/a>, Xia Hu, and Huan Liu, &#8220;Social Recommendation: A Review&#8221;, Journal of Social Network Analysis and Mining, Springer. 3(4): 1113-1133 (2013). pdf,&nbsp;<a href=\"http:\/\/www.springerlink.com\/openurl.asp?genre=article&amp;id=doi:10.1007\/s13278-013-0141-9\">online first<\/a><\/li>\n\n\n\n<li><a href=\"http:\/\/dmml.asu.edu\/users\/xufei\/\">Xufei Wang<\/a>, Lei Tang, Huan Liu, and Lei Wang, &#8220;Learning with Multi-resolution Overlapping Communities&#8221;, Knowledge and Information Systems (KAIS), Springer, Volumen 36, Issue 2 (2013): 517-535.&nbsp;<a href=\"http:\/\/dmml.asu.edu\/users\/xufei\/Papers\/KAIS.pdf\">pdf<\/a><\/li>\n\n\n\n<li><a href=\"https:\/\/sites.google.com\/site\/alanzhao\/Home\">Zheng Zhao<\/a>, Lei Wang, Huan Liu, and Jieping Ye. &#8220;On Similarity Preserving Feature Selection&#8221;, IEEE Transactions on Knowledge and Data engineering (TKDE), 25(3): 619-632, 2013.&nbsp;<a href=\"https:\/\/www.public.asu.edu\/%7Ehuanliu\/papers\/tkde11_zhao.pdf\">pdf<\/a><\/li>\n<\/ul>\n\n\n\n<p><strong>2012<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Geoffrey Barbier, Reza Zafarani, Huiji Gao, Gabriel Fung, and Huan Liu. &#8220;Maximizing Benefits from Crowdsourced Data&#8221;, Special Issue: Data Model, Computational and Mathematical Organization Theory, 18(3): 257-279,2012. DOI: 10.1007\/s10588-012-9121-2.&nbsp;<a href=\"https:\/\/www.public.asu.edu\/%7Ehuanliu\/papers\/cmot2012.pdf\">pdf<\/a><\/li>\n\n\n\n<li><a href=\"http:\/\/leitang.net\/\">Lei Tang<\/a>, Xufei Wang and Huan Liu. &#8220;Scalable Learning of Collective Behavior&#8221;. IEEE Transactions on Knowledge and Data Engineering (TKDE), vol. 24, no. 6, pp. 1080-1091, June, 2012. Selected as a&nbsp;<em><a href=\"http:\/\/stcsn.ieee.net\/featured-articles\/july2012scalablelearningofcollectivebehavior\">June-2012 featured article by<\/a>&nbsp;the Special Technical Community on Social Networks, IEEE Computer Society<\/em>.&nbsp;&nbsp;<a href=\"http:\/\/dmml.asu.edu\/users\/xufei\/Papers\/TKDE.pdf\">pdf&nbsp;<\/a>[60]<\/li>\n\n\n\n<li>Nitin Agarwal, Huan Liu, Lei Tang, and Philip Yu. &#8220;Modeling Blogger Influence in a Community&#8221;, Social Network Analysis and Mining, Springer,&nbsp;&nbsp;2(2): 139-162, 2012.&nbsp;DOI:&nbsp;10.1007\/s13278-011-0039-3.&nbsp;<a href=\"https:\/\/www.public.asu.edu\/%7Ehuanliu\/papers\/snam11_agarwal.pdf\">pdf<\/a><\/li>\n\n\n\n<li><a href=\"http:\/\/www.public.asu.edu\/~fmorstat\/\">Fred Morstatter<\/a>, Huan Liu, and Daniel Zeng.&nbsp;<a href=\"http:\/\/www.computer.org\/csdl\/mags\/ex\/2012\/01\/mex2012010047-abs.html\">Opening Doors to Sharing Social Media Data<\/a>, IEEE Intelligent Systems, January\/February 2012. Vol.27, No. 1: pp 47 -51. (selected as a&nbsp;<a href=\"http:\/\/stcsn.ieee.net\/featured-articles\/may2012openingdoorstosharingsocialmediadata\">May-2012 feature article<\/a>&nbsp;by the Special Technical Community on Social Networks, IEEE Computer Society)<\/li>\n\n\n\n<li><a href=\"http:\/\/www.cse.msu.edu\/~tangjili\/\">Jiliang&nbsp;Tang<\/a>, Xufei&nbsp;Wang, Huiji&nbsp;Gao, Xia&nbsp;Hu &amp; Huan&nbsp;Liu. &#8220;<a href=\"http:\/\/www.springerlink.com\/content\/qk8jv1454358x117\/\">Enriching Short Text Representation in Microblog for Clustering<\/a>&#8220;, Frontiers of Computer Science in China, Vol. 6, Issue 1:88-101, 2012.&nbsp;DOI:&nbsp;10.1007\/s11704-011-1167-7.<\/li>\n\n\n\n<li>Lei Tang, H. Liu and J. Zhang. &#8220;Identifying Evolving Groups in Dynamic Multi-Mode Networks&#8221;. IEEE Transactions on Knowledge and Data Engineering (TKDE), 24(1): 72-85, 2012.&nbsp;<a href=\"https:\/\/www.public.asu.edu\/%7Ehuanliu\/papers\/TKDE_multimode10.pdf\">pdf<\/a>.&nbsp;&nbsp;<\/li>\n\n\n\n<li>Lei Tang, Xufei Wang, and Huan Liu. &#8220;Group Profiling for Understanding Social Structures&#8221;, ACM Transaction on Intelligent Systems and Technology, 3(1):15 2012.&nbsp;<a href=\"https:\/\/www.public.asu.edu\/%7Ehuanliu\/dmml.asu.edu\/users\/xufei\/Papers\/TIST.pdf\">pdf<\/a>&nbsp;[55]<\/li>\n<\/ul>\n\n\n\n<p><strong>2011<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><a href=\"http:\/\/leitang.net\/\">Lei Tang<\/a>, Xufei Wang, and Huan Liu. &#8220;Community Detection via Heterogeneous Interaction Analysis&#8221;, Data Mining and Knowledge Discovery, Springer. August, 2011. DOI: 10.1007\/s10618-011-0231-0.&nbsp;<a href=\"https:\/\/www.public.asu.edu\/%7Ehuanliu\/dmml.asu.edu\/users\/xufei\/Papers\/DMKD.pdf\">pdf<\/a><\/li>\n\n\n\n<li>Geoffrey Barbier, Lei Tang and Huan Liu.&nbsp;<a href=\"http:\/\/onlinelibrary.wiley.com\/doi\/10.1002\/widm.37\/full\">&#8220;Understanding Online Groups through Social Media&#8221;<\/a>. WIREs Data Mining and Knowledge Discovery, May 20, 2011.<\/li>\n\n\n\n<li>N. Yagnik, H. Liu, and H.J.S. Fernando. &#8220;Sensor Networks: Decentralized Monitoring and Subspace Classification of Events&#8221;, Special Issue on Novel Applications of Machine Learning, International Journal of General Systems, Taylor &amp; Francis, Volume 40 Issue 4, 457. May 4, 2011. doi:10.1080\/03081079.2010.544882<\/li>\n\n\n\n<li>Sai Moturu and Huan Liu.&nbsp;&#8220;Quantifying the Trustworthiness of Social Media Content&#8221;,<a href=\"http:\/\/www.springerlink.com\/content\/82294461043477rx\/\">&nbsp;Journal of Distributed and Parallel Databases<\/a>, Springer, Volume 29, January 4, 2011. DOI: 10.1007\/s10619-010-7077-0.<\/li>\n\n\n\n<li><a href=\"http:\/\/leitang.net\/\">Lei Tang<\/a>&nbsp;and Huan Liu. &#8220;Leveraging Social Media Networks for Classification&#8221;.&nbsp;<a href=\"http:\/\/www.springerlink.com\/content\/q436375238237967\/\">Journal of Data Mining and Knowledge Discovery<\/a>&nbsp;(DMKD), Springer, DOI: 10.1007\/s10618-010-0210-x, January 14, 2011.[50]<\/li>\n<\/ul>\n\n\n\n<p><strong>2010 and earlier<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><a href=\"http:\/\/leitang.net\/\">L. Tang<\/a>&nbsp;and H. Liu. &#8220;Toward Collective Behavior Prediction via Social Dimension Extraction&#8221;. IEEE Intelligent Systems, July\/August 2010 (vol. 25 no.4), pp. 19&#8211;25.&nbsp;<a href=\"https:\/\/www.public.asu.edu\/%7Ehuanliu\/papers\/IS10.pdf\">pdf<\/a>,&nbsp;<a href=\"http:\/\/leitang.net\/social_dimension.html\">data and code<\/a><\/li>\n\n\n\n<li>N. Agarwal, M. Galan, H. Liu, and S. Subramanya. &#8220;WisColl: Collective Wisdom based Blog Clustering&#8221;. Journal of Information Science: Special Issue on Collective Intelligence (INS-CI), 180(1):39-61. 2010.&nbsp;<a href=\"http:\/\/dx.doi.org\/10.1016\/j.ins.2009.07.010\">http:\/\/dx.doi.org\/10.1016\/j.ins.2009.07.010<\/a>.<\/li>\n\n\n\n<li>S. Moturu, W. Johnson, and H. Liu. &#8220;Predictive Risk Modeling for Forecasting High-Cost Patients: a Real-World Application<br>Using Medicaid Data&#8221;,&nbsp;<a href=\"http:\/\/www.inderscience.com\/\">International Journal of Biomedical Engineering and Technology<\/a>, Special Issue on Warehousing and Mining Complex Data: Applications to Biology, Medicine, Behavior, Health and Environment, 3(1-2): 114-132. 2009.&nbsp;<a href=\"https:\/\/www.public.asu.edu\/%7Ehuanliu\/papers\/IJBET3(1-2)Paper07.pdf\">pdf<\/a>.<\/li>\n\n\n\n<li>Z. Zhao and H. Liu. &#8220;Searching for Interacting Features in Subset Selection&#8221;, Intelligent Data Analysis &#8211; An International Journal, 13(2): 207 -228, 2009.&nbsp;<a href=\"http:\/\/iospress.metapress.com\/content\/w50254g3p2xw4107\/\">pdf<\/a><\/li>\n\n\n\n<li>S. Subramanya, Z. Wang, B. Li, and H. Liu. &#8220;Completing Missing Views for Multiple Sources of Web Media&#8221;, International Journal of Data Mining, Modeling and Management, 1(1):23-44, 2008. [45]<\/li>\n\n\n\n<li>N. Agarwal and H. Liu. &#8220;<a href=\"http:\/\/www.sigkdd.org\/explorations\/issues\/10-1-2008-07\/V10N1-Blogosphere.pdf\">Blogosphere: Research Issues, Applications, and Tools&#8221;<\/a>, SIGKDD Explorations, 10(1): 18-31, July 2008.&nbsp;<a href=\"http:\/\/videolectures.net\/kdd08_liu_briat\/\">related video lecture<\/a><\/li>\n\n\n\n<li>L. Tang, H. Liu, J. Zhang, N. Agarwal and J.J. Salerno. \u201cTopic Taxonomy Adaptation for Group Profiling\u201d, ACM Transactions on Knowledge Discovery from Data.&nbsp;<a href=\"http:\/\/www.informatik.uni-trier.de\/~ley\/db\/journals\/tkdd\/tkdd1.html#TangLZAS08\">TKDD 1<\/a>(4): 1&#8211;28 (2008).<\/li>\n\n\n\n<li>N. Agarwal, H. Liu, and J. Zhang. &#8220;Blocking Objectional Web Contents by Leveraging Multiple Information Sources&#8221;.&nbsp;<a href=\"http:\/\/www.acm.org\/sigkdd\/explorations\/\">SIGKDD Explorations<\/a>,&nbsp;<a href=\"https:\/\/www.public.asu.edu\/%7Ehuanliu\/papers\/SIGKDDExpl.pdf\">pdf<\/a>, 8(1):17 &#8211; 26, June, 2006.<\/li>\n\n\n\n<li>N. Agarwal, E. Haque, H. Liu, and L. Parsons. &#8220;A Subspace Clustering Framework for Research Group Collaboration&#8221;. International Journal of Information Technology and Web Engineering, 1(1),&nbsp;<a href=\"https:\/\/www.public.asu.edu\/%7Ehuanliu\/papers\/IJITWE06.pdf\">pdf<\/a>, pp 35 &#8211; 58, January &#8211; March, 2006<\/li>\n\n\n\n<li>K.S. Candan, J.W. Kim, H. Liu, and R. Suvarna. &#8220;Discovering Mappings in Hierarchical Data from Multiple Sources using the Inherent Structure&#8221;. The Knowledge and Information Systems Journal.&nbsp;&nbsp;<a href=\"https:\/\/www.public.asu.edu\/%7Ehuanliu\/papers\/kais06.pdf\">pdf<\/a>, 10(2): 185-210, August, 2006. [40]<\/li>\n\n\n\n<li>M. Berens, H. Liu, L. Parsons, L. Yu, and Z. Zhao. \u201cFostering Biological Relevance in Feature Selection for Microarray Data\u201d, Trends and Controversies,&nbsp;<a href=\"https:\/\/www.public.asu.edu\/%7Ehuanliu\/papers\/ieeeis05.pdf\">pdf<\/a>, pp 71 &#8211; 73. November\/December 2005, IEEE Intelligent Systems.<\/li>\n\n\n\n<li>H. Liu and L. Yu. &#8220;Toward Integrating Feature Selection Algorithms for Classification and Clustering&#8221;,&nbsp;<a href=\"http:\/\/csdl2.computer.org\/persagen\/DLAbsToc.jsp?resourcePath=\/dl\/trans\/tk\/&amp;toc=comp\/trans\/tk\/2005\/04\/k4toc.xml&amp;DOI=10.1109\/TKDE.2005.66\">IEEE Trans. on Knowledge and Data Engineering<\/a>,&nbsp;<a href=\"https:\/\/www.public.asu.edu\/%7Ehuanliu\/papers\/tkde05.pdf\">pdf<\/a>, 17(4), 491-502, 2005.<\/li>\n\n\n\n<li>L. Yu and H. Liu. &#8220;Efficient Feature Selection via Analysis of Relevance and Redundancy&#8221;,&nbsp;<a href=\"http:\/\/jmlr.csail.mit.edu\/\">Journal of Machine Learning Research<\/a>,&nbsp;<a href=\"http:\/\/jmlr.csail.mit.edu\/papers\/volume5\/yu04a\/yu04a.pdf\">pdf<\/a>, JMLR 5 (Oct): 1205&#8211;1224, 2004.<\/li>\n\n\n\n<li>H. Liu, H. Motoda, and L. Yu. &#8220;<a href=\"http:\/\/portal.acm.org\/citation.cfm?id=1039214&amp;jmp=cit&amp;coll=GUIDE&amp;dl=GUIDE&amp;CFID=36053439&amp;CFTOKEN=65993083#CIT\">A Selective Sampling Approach to Active Feature Selection<\/a>&#8220;, Artificial Intelligence, Elsevier, 159(1-2):49-74, 2004,&nbsp;<a href=\"https:\/\/www.public.asu.edu\/%7Ehuanliu\/papers\/aij04.pdf\">pdf<\/a>.<\/li>\n\n\n\n<li>P. Foschi and H. Liu. &#8220;Active Learning for Detecting a Spectrally Variable Subject in Color Infrared Imagery&#8221;, Pattern Recognition Letters, Elesevier,&nbsp;<a href=\"https:\/\/www.public.asu.edu\/%7Ehuanliu\/papers\/prl04.pdf\">pdf<\/a>,&nbsp; 25(13): 1509-1517, 2004. [35]<\/li>\n\n\n\n<li>L. Parson, E. Haque, and H. Liu. &#8220;Subspace Clustering for High Dimensional Data &#8211; A Review&#8221;,&nbsp;<a href=\"http:\/\/www.acm.org\/sigkdd\/explorations\/\">SIGKDD Explorations<\/a>,&nbsp;&nbsp;<a href=\"http:\/\/www.acm.org\/sigs\/sigkdd\/explorations\/issues\/6-1-2004-06\/parsons.pdf\">pdf<\/a>, 6(1): 90 &#8211; 105, June, 2004.<\/li>\n\n\n\n<li>M. Dash and H. Liu. &#8220;Consistency-Based Search in Feature Selection&#8221;, Artificial Intelligence. 151(1-2):155-176, December 2003,&nbsp;<a href=\"https:\/\/www.public.asu.edu\/%7Ehuanliu\/papers\/aij03.pdf\">pdf<\/a>.<\/li>\n\n\n\n<li>D. Makawita, K-L. Tan, and H. Liu. &#8220;Sampling from Databases Using B+Trees&#8221;, Intelligent Data Analysis, 6(4):359-377, 2002, IPO.<\/li>\n\n\n\n<li>M. Dash, H. Liu, P. Scheuermann, and K-L. Tan. &#8220;Fast Hierarchical Clustering and Its Validation&#8221;, Data and Knowledge Engineering, Elsevier Science. 44(1):111-140. Dec, 2002.<\/li>\n\n\n\n<li>Z. Chen, F. Lin, H. Liu, W.Y. Ma, Liu Wenyin. &#8220;User Intention Modelling in Web Applications Using Data Mining&#8221;,&nbsp;<a href=\"http:\/\/www.kluweronline.com\/issn\/1386-145X\">World Wide Web &#8211; Internet and Web Information Systems Journal<\/a>, Kluwer Academic Publishers. 5(3):181-192. 2002. [30]<\/li>\n\n\n\n<li>H. Liu, F. Hussain, C.L. Tan, and M. Dash. &#8220;Discretization: An Enabling Technique&#8221;, Journal of Data Mining and Knowledge Discovery 6(4): 393-423; Oct 2002.&nbsp;<a href=\"https:\/\/www.public.asu.edu\/%7Ehuanliu\/papers\/dmkd02.pdf\">pdf<\/a>.&nbsp;<a href=\"http:\/\/www.public.asu.edu\/%7Ehuanliu\/Discretization\/DISPACKAGE.tar.gz\">Software available<\/a>.<\/li>\n\n\n\n<li>H. Liu and H. Motoda, &#8220;On Issues of Instance Selection&#8221;, Journal of Data Mining and Knowledge Discovery. 6(2):115-130; Apr 2002.<\/li>\n\n\n\n<li>Z. Zhou, H. Liu, S.Z. Li, and C.S. Chua, &#8220;Rule Mining with Prior Knowledge &#8211; A Belief Networks Approach&#8221;, Intelligent Data Analysis, 5(2):95-110, 2001.&nbsp;<a href=\"https:\/\/www.public.asu.edu\/%7Ehuanliu\/papers\/ida01.ps\">postscript<\/a>,&nbsp;<a href=\"https:\/\/www.public.asu.edu\/%7Ehuanliu\/papers\/ida01.tar.gz\">tar.gz files<\/a>.<\/li>\n\n\n\n<li>K.S. Candan, H. Liu, and R. Suvarna, &#8220;Resource Description Framework: Metadata and Its Applications&#8221;, ACM SIGKDD Explorations, July 2001. 3(1):6-19.&nbsp;<a href=\"http:\/\/www.acm.org\/sigs\/sigkdd\/explorations\/issues\/3-1-2001-07\/candan.pdf\">pdf<\/a>.<\/li>\n\n\n\n<li>H. Liu,&nbsp;<a href=\"http:\/\/www.cs.ust.hk\/%7Eluhj\/\">H. Lu<\/a>, and&nbsp;<a href=\"http:\/\/www.comp.nus.edu.sg\/%7Eyao\">J. Yao<\/a>, &#8220;Towards Multidatabase Mining: Identifying Relevant Databases&#8221;, IEEE Transactions on Knowledge and Data Engineering. 13(4):541-553. July\/August 2001.&nbsp;<a href=\"https:\/\/www.public.asu.edu\/%7Ehuanliu\/papers\/tkde01.ps\">postscript<\/a>[25]<\/li>\n\n\n\n<li>K.S. Ng and H. Liu &#8220;Customer Retention via Data Mining&#8221;, Issues on the Application of Data Mining, Artificial Intelligence Review, Kluwer Academic Publishers. 14(6):569-590, December 2000.&nbsp;<a href=\"https:\/\/www.public.asu.edu\/%7Ehuanliu\/papers\/ai-review01.ps\">postscript<\/a><\/li>\n\n\n\n<li><a href=\"http:\/\/www.comp.nus.edu.sg\/%7Eyaojun\">J. Yao<\/a>,&nbsp;<a href=\"http:\/\/www.comp.nus.edu.sg\/%7Emanoranj\">M. Dash<\/a>, S.T. Tan and H. Liu, &#8220;Entropy-based Fuzzy Clustering and Fuzzy Modeling&#8221;,&nbsp;<a href=\"http:\/\/www.elsevier.com\/inca\/publications\/store\/5\/0\/5\/5\/4\/5\/\">Fuzzy Sets and Systems &#8211; International Journal of Soft Computing and Intelligence, Official Publication of the International Fuzzy System Association, Elsevier.<\/a>&nbsp;113(3):381-388, 2000.&nbsp;<a href=\"https:\/\/www.public.asu.edu\/%7Ehuanliu\/papers\/Yao_etal2000_FSS.pdf\">pdf&nbsp;<\/a>[20]<\/li>\n\n\n\n<li><a href=\"http:\/\/www.comp.nus.edu.sg\/%7Erudys\">R. Setiono<\/a>&nbsp;and H. Liu, &#8220;A Connectionist Approach to Generating Oblique Decision Trees&#8221;, IEEE Transactions on Systems, Man, and Cybernetics (Part B: Cybernetics), pp 440&#8211;444, Volume 29, Number 3, June 1999.<\/li>\n\n\n\n<li>H. Liu and&nbsp;<a href=\"http:\/\/www.comp.nus.edu.sg\/%7Erudys\">R. Setiono<\/a>, &#8220;Some Issues on Scalable Feature Selection&#8221;, Expert Systems with Application, 15 (1998) Elsevier. Pages 333-339.&nbsp;<a href=\"https:\/\/www.public.asu.edu\/%7Ehuanliu\/papers\/eswa98.ps\">postscript<\/a>.<\/li>\n\n\n\n<li>H. Liu and&nbsp;<a href=\"http:\/\/www.comp.nus.edu.sg\/%7Erudys\">R. Setiono<\/a>, &#8220;Incremental Feature Selection&#8221;, Applied Intelligence, Volume 9, Number 3, November\/December 1998. Kluwer Academic Publishers. Pages 217-230.&nbsp;<a href=\"https:\/\/www.public.asu.edu\/%7Ehuanliu\/papers\/appli98.ps\">postscript<\/a>.<\/li>\n\n\n\n<li>H. Liu and&nbsp;<a href=\"http:\/\/www-moto.sanken.osaka-u.ac.jp\/motodaeg.html\">H. Motoda<\/a>, &#8220;Feature Transformation and Subset Selection&#8221;, IEEE Intelligent Systems, March\/April 1998, Volume 13, Number 2, Pages 26-28.&nbsp;<a href=\"https:\/\/www.public.asu.edu\/%7Ehuanliu\/papers\/ieee98.ps\">postscript<\/a>.<\/li>\n\n\n\n<li><a href=\"http:\/\/www.comp.nus.edu.sg\/%7Erudys\">R. Setiono<\/a>&nbsp;and H. Liu, &#8220;Analysis of Hidden Representations by Greedy Clustering&#8221;, Connection Science, Vol. 10, No. 1, 1998. Carfax. pages 21-42.&nbsp;<a href=\"http:\/\/www.comp.nus.edu.sg\/%7Erudys\/nl.ps\">postscript<\/a>.<\/li>\n\n\n\n<li><a href=\"http:\/\/www.comp.nus.edu.sg\/%7Erudys\">R. Setiono<\/a>&nbsp;and H. Liu, &#8220;NeuroLinear: from Neural Networks to Oblique Decision Rules&#8221;, Neurocomputing, Elsevier, Vol. 17, No. 1, September 1997, pages 1-25.&nbsp;<a href=\"http:\/\/www.comp.nus.edu.sg\/%7Erudys\/nl.ps\">postscript<\/a>.<\/li>\n\n\n\n<li><a href=\"http:\/\/www.comp.nus.edu.sg\/%7Emanoranj\">M. Dash<\/a>&nbsp;and H. Liu, &#8220;Feature Selection for Classification&#8221;.&nbsp;<a href=\"http:\/\/www.elsevier.com\/locate\/ida\">Intelligent Data Analysis &#8211; An International Journal<\/a>, Elsevier, Vol. 1, No. 3, pages 131 &#8211; 156, 1997.&nbsp;<a href=\"https:\/\/www.public.asu.edu\/%7Ehuanliu\/papers\/ida97.ps\">postscript.<\/a><\/li>\n\n\n\n<li>H. Liu and&nbsp;<a href=\"http:\/\/www.comp.nus.edu.sg\/%7Erudys\">R. Setiono<\/a>, &#8220;Feature Selection via Discretization of Numeric Attributes&#8221;, IEEE Trans. on Knowledge and Data Engineering, VOL.9, NO. 4, July\/August 1997. pp. 642-645.&nbsp;<a href=\"https:\/\/www.public.asu.edu\/%7Ehuanliu\/papers\/tkde97.ps\">postscript<\/a>. [15]<\/li>\n\n\n\n<li><a href=\"http:\/\/www.comp.nus.edu.sg\/%7Erudys\">R. Setiono<\/a>&nbsp;and H. Liu, &#8220;Neural Network Feature Selector&#8221;, IEEE Trans. on Neural Networks, Vol. 8, No. 3, May 1997, pp. 654-662.&nbsp;<a href=\"http:\/\/www.comp.nus.edu.sg\/%7Erudys\/newfs.ps\">postscript<\/a>.<\/li>\n\n\n\n<li><a href=\"http:\/\/www.comp.nus.edu.sg\/%7Eluhj\">H. Lu<\/a>, R. Setiono and H. Liu, &#8220;Effective Data Mining Using Neural Networks&#8221;, IEEE Trans. on Knowledge and Data Engineering, Vol. 8, No. 6, Dec. 1996, pp. 957-961.&nbsp;<a href=\"http:\/\/www.comp.nus.edu.sg\/%7Erudys\/tkde1.ps\">postscript<\/a>.<\/li>\n\n\n\n<li>H. Liu, &#8220;Efficient Rule Induction from Noisy Data&#8221;, Expert Systems with Applications: An International Journal, Vol. 10, No. 2, 1996. Pergamon. pp. 275-280.&nbsp;<a href=\"https:\/\/www.public.asu.edu\/%7Ehuanliu\/papers\/noise.ps\">postscript<\/a>.<\/li>\n\n\n\n<li><a href=\"http:\/\/www.comp.nus.edu.sg\/%7Erudys\">R. Setiono<\/a>&nbsp;and H. Liu, &#8220;Symbolic Representation of Neural Networks&#8221;, the IEEE Computer, Mar. 1996, pp 71-77.&nbsp;<a href=\"https:\/\/www.public.asu.edu\/%7Ehuanliu\/papers\/symbol.ps\">postscript<\/a>.<\/li>\n\n\n\n<li>H. Liu and&nbsp;<a href=\"http:\/\/www.comp.nus.edu.sg\/%7Erudys\">R. Setiono<\/a>, &#8220;Dimensionality Reduction via Discretization&#8221;, Knowledge-Based Systems, Vol. 9, No. 1, Feb. 1996. Elsevier. pp. 67-72.&nbsp;<a href=\"https:\/\/www.public.asu.edu\/%7Ehuanliu\/papers\/kbs.ps\">postscript<\/a>. [10]<\/li>\n\n\n\n<li><a href=\"http:\/\/www.comp.nus.edu.sg\/%7Erudys\">R. Setiono<\/a>&nbsp;and H. Liu, &#8220;Improving Backpropagation Learning with Feature Selection&#8221;,&nbsp;<a href=\"http:\/\/pirates.cs.swt.edu\/isai\/iea-aie-97.html\">Applied Intelligence<\/a>, Vol. 6, Kluwer Academic Publishers, 1996, pp 129-139.&nbsp;<a href=\"http:\/\/www.comp.nus.edu.sg\/%7Erudys\/app-int.ps\">postscript<\/a>.<\/li>\n\n\n\n<li> W.X. Wen and H. Liu, &#8220;Supervised Learning for Self-Generating Neural Networks&#8221;, Australian Journal of Intelligent Information Processing Systems, Vol. 2, No. 2, Winter 1995, pp 12-19.&nbsp;<a href=\"https:\/\/www.public.asu.edu\/%7Ehuanliu\/papers\/sgnt.ps\">postscript<\/a>.<\/li>\n\n\n\n<li>H. Liu, C. Rowles and W. Wen, &#8220;Critics for Knowledge-Based Design Systems&#8221;, the IEEE Transactions on Knowledge and Data Engineering, Vol. 7, NO. 5, Oct. 1995, pp 740-750.&nbsp;<a href=\"https:\/\/www.public.asu.edu\/%7Ehuanliu\/papers\/critic.ps\">postscript<\/a>.<\/li>\n\n\n\n<li>H. Liu and W. Wen, &#8220;Joint Concept Formation&#8221;, International Journal of Knowledge Acquisition, Vol. 6, 1994, pp 75-87.&nbsp;<a href=\"https:\/\/www.public.asu.edu\/%7Ehuanliu\/papers\/cf.ps\">postscript<\/a>.<\/li>\n\n\n\n<li><a href=\"http:\/\/www.usc.edu\/dept\/robotics\/personal\/bekey\/home.html\">G.A. Bekey<\/a>, H. Liu, R. Tomovic and W.J. Karplus, &#8220;Knowledge-Based Control of Grasping in Robot Hands Using Heuristics from Human Motor Skills&#8221;, the IEEE Transactions on Robotics and Automation, Vol.9, No.6, Dec. 1993, pp 709-722. [5]<\/li>\n\n\n\n<li><a href=\"http:\/\/www.cse.rmit.edu.au\/%7Erdsajj\">A. Jennings<\/a>, H. Higuchi and H. Liu, &#8220;A Personal News Service based on a User Model Neural Network&#8221;, Australian Telecommunications Research, Vol. 27, No.1, 1993, pp 1-12.<\/li>\n\n\n\n<li><a href=\"http:\/\/www.cse.rmit.edu.au\/%7Erdsajj\">A. Jennings<\/a>, C.Rowles, C. Leckie and H. Liu, &#8220;AI Applications in Telecommunications&#8221;, Telecommunications Journal of&nbsp;Australia, Vol. 41, No. 1, 1991,&nbsp;Australia, pp 47-55.<\/li>\n\n\n\n<li>H. Liu, T. Iberall and G.A. Bekey, &#8220;Nerual network architecture for robot hand control&#8221;, the IEEE Control Systems, April 1989, pp 38-43.<\/li>\n\n\n\n<li>K. Rao, H. Liu, G. Medioni and G.A. Bekey, &#8220;Shape description and grasping for robot hand and eye coordination &#8221; the IEEE Control Systems, Feb. 1989, pp 22-29.<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\"><a>International Workshops&nbsp;<\/a>and Conference Special Sessions<\/h2>\n\n\n\n<p><a href=\"https:\/\/www.public.asu.edu\/%7Ehuanliu\/publications.html#conference\">Conference<\/a>&nbsp;<a href=\"https:\/\/www.public.asu.edu\/%7Ehuanliu\/publications.html#patent\">Patent<\/a>&nbsp;<a href=\"https:\/\/www.public.asu.edu\/%7Ehuanliu\/publications.html#journal\">Journal<\/a>&nbsp;<a href=\"https:\/\/www.public.asu.edu\/%7Ehuanliu\/publications.html#work\">Workshop<\/a>&nbsp;<a href=\"https:\/\/www.public.asu.edu\/%7Ehuanliu\/publications.html#book\">Book<\/a><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><a href=\"https:\/\/scholar.google.com\/citations?hl=en&amp;user=dHu5ehsAAAAJ\">Ahmet Kapki\u00e7<\/a>, Pratanu Mandal, Abhinav Gorantla, Shu Wan, Ertu\u011frul \u00c7oban, Huan Liu, and K. Sel\u00e7uk Candan. 2026. CausalBench+: Causal-Informed Machine Learning Benchmarking. In The Nineteenth ACM International Conference on Web Search and Data Mining (WSDM Companion\u201926), February 22\u201326, 2026, Boise, ID, USA.<\/li>\n\n\n\n<li><a href=\"https:\/\/scholar.google.com\/citations?user=yMV7JtIAAAAJ&amp;hl=en\">Zhen Tan<\/a>, Chengshuai Zhao, Raha Moraffah, Yifan Li, Yu Kong, Tianlong Chen, and Huan Liu. &#8220;<a href=\"https:\/\/arxiv.org\/html\/2402.14859v1\">The Wolf Within: Covert Injection of Malice into MLLM Societies via an MLLM Operative<\/a>&#8220;, CVPR2024, Responsible Generative AI Workshop (<a href=\"https:\/\/sites.google.com\/view\/cvpr-responsible-genai\">ReGenAI<\/a>), June 17-21, 2024. Seattle, WA.<\/li>\n\n\n\n<li><a href=\"https:\/\/scholar.google.com\/citations?user=hdXXMPwAAAAJ&amp;hl=en\">Amrita Bhattacharjee<\/a>, Raha Moraffah, Joshua Garland, and Huan Liu. &#8220;Towards LLM-guided Causal Explainability for Black-box Text Classifiers&#8221;, AAAI Workshop on Responsible Language Modes (<a href=\"https:\/\/sites.google.com\/vectorinstitute.ai\/relm2024\/home\">ReLM2024<\/a>), AAAI2024. February 26, 2024. Vancouver Canda<\/li>\n\n\n\n<li><a href=\"https:\/\/scholar.google.com\/citations?user=p6WZUWwAAAAJ&amp;hl=en\">Mansooreh Karami<\/a>, David Mosallanezhad, Paras Sheth, and Huan Liu. &#8220;Silence Speaks Volumes: Re-weighting Techniques for Under-Represented Users in Fake News Detection&#8221;, the&nbsp;<a href=\"https:\/\/data-centric-ai-dev.github.io\/ICDM\/\">DCAI workshop<\/a>&nbsp;(in conjunction with&nbsp;<a href=\"https:\/\/www.cloud-conf.net\/icdm2023\/\">IEEE ICDM 2023<\/a>), December 1 &#8211; 4, 2023. Shanghai, China.<\/li>\n\n\n\n<li><a href=\"https:\/\/scholar.google.com\/citations?user=Lqi_e8UAAAAJ&amp;hl=en\">Faisal Alatawi<\/a>, Paras Sheth and Huan Liu. &#8220;Inside Echo Chambers: An Exploration of Polarization and Topic Diversity on Social Media&#8221;, Working Paper Track, 16th International Conference on Social Computing, Behavioral-Cultural Modeling &amp; Prediction and Behavior Representation in Modeling and Simulation (<a href=\"https:\/\/sbp-brims.org\/2023\/\">SBP-BRiMS2023<\/a>), September 22-23, 2023. Pittsburgh, PA.<\/li>\n\n\n\n<li>Zeyad Alghamdi, Faisal Alatawi, Mansooreh Karami, Tharindu Kumarage, Ahmadreza Mosallanezhad and Huan Liu. &#8220;Code RED: Reactive Emotion Difference For Stress Detection on Social Media&#8221;, Working Paper Track, 16th International Conference on Social Computing, Behavioral-Cultural Modeling &amp; Prediction and Behavior Representation in Modeling and Simulation (<a href=\"https:\/\/sbp-brims.org\/2023\/\">SBP-BRiMS2023<\/a>), September 22-23, 2023. Pittsburgh, PA.<\/li>\n\n\n\n<li><a href=\"https:\/\/scholar.google.com\/citations?user=Pu3B4kIAAAAJ&amp;hl=en\">Paras Sheth<\/a>, Ting Liu, Durmus Doner, Yuhang Wei, Qi Deng, Rebecca Muenich, John Sabo, K. Selcuk Candan, and Huan Liu.&nbsp; &#8220;Causal Discovery for Feature Selection in Physical Process-Based Hydrological Systems&#8221;, Special Session on&nbsp;<a href=\"https:\/\/bigdataieee.org\/BigData2022\/SpecialSession.html#SpecialSession2\">MLBD<\/a>, IEEE International Conference on Big Data (<a href=\"https:\/\/bigdataieee.org\/BigData2022\/\">BigData<\/a>), Dec. 17 &#8211; 20, 2022, Osaka, Japan.<\/li>\n\n\n\n<li><a href=\"https:\/\/scholar.google.com\/citations?user=Pu3B4kIAAAAJ&amp;hl=en\">Paras Sheth<\/a>, Reepal Shah, John Sabo, K. Selcuk Candan, and Huan Liu. &#8220;STCD: A Spatio-Temporal Causal Discovery Framework for Hydrological Systems&#8221;, Special Session on&nbsp;<a href=\"https:\/\/bigdataieee.org\/BigData2022\/SpecialSession.html#SpecialSession2\">MLBD<\/a>, IEEE International Conference on Big Data (<a href=\"https:\/\/bigdataieee.org\/BigData2022\/\">BigData<\/a>), Dec. 17 &#8211; 20, 2022, Osaka, Japan.<\/li>\n\n\n\n<li><a href=\"https:\/\/scholar.google.com\/citations?user=6b8YRBQAAAAJ&amp;hl=en\">Anique Tahir,<\/a>&nbsp;Lu Cheng, Ruocheng Guo, and Huan Liu.&nbsp; &#8220;Distributional Shift Adaptation using Domain-Specific Features&#8221;, Special Session on&nbsp;<a href=\"https:\/\/bigdataieee.org\/BigData2022\/SpecialSession.html#SpecialSession2\">MLBD<\/a>, IEEE International Conference on Big Data (<a href=\"https:\/\/bigdataieee.org\/BigData2022\/\">BigData<\/a>), Dec. 17 &#8211; 20, 2022, Osaka, Japan.<\/li>\n\n\n\n<li><a href=\"https:\/\/scholar.google.com\/citations?user=PI3myr8AAAAJ&amp;hl=en\">Kaize Ding<\/a>, Jianling Wang, Jundong Li, James Caverlee, and Huan Liu. &#8220;Robust Graph Meta-learning for Weakly-supervised Few-shot Node Classification&#8221;, the the 1st Workshop on Trustworthy Learning on Graphs (<a href=\"https:\/\/trustlogworkshop.github.io\/\">TrustLOG<\/a>), co-located with the 31st ACM International Conference on Information and KnowledgeManagement (<strong><a href=\"https:\/\/www.cikm2022.org\/\">CIKM<\/a><\/strong>),&nbsp; October 17-21, 2022. Atlanta, Georgia.&nbsp;<strong>Best Paper Award<\/strong><\/li>\n\n\n\n<li><a href=\"https:\/\/scholar.google.com\/citations?user=PI3myr8AAAAJ&amp;hl=en\">Kaize Ding<\/a>, Kai Shu, Yichuan Li Amrita Bhattacharjee, and Huan Liu. \u201c<a href=\"https:\/\/arxiv.org\/abs\/2005.13691\">Challenges in Combating COVID-19 Infodemic &#8211; Data, Tools, and Ethics<\/a>\u201d, 5th International Workshop on MiningActionable Insights from Social Networks (MAISoN), co-located with 29th ACM International Conference on Information and KnowledgeManagement (<strong>CIKM<\/strong>), October 19-23, 2020. Galway, Ireland.<\/li>\n\n\n\n<li><a href=\"http:\/\/www.public.asu.edu\/~lcheng35\/\">Lu Cheng<\/a>, Ruocheng Guo, and Huan Liu. &#8220;Robust Cyberbullying Detection with Causal Interpretation&#8221;. In Proceedings of the WWW&#8217;19&nbsp;<a href=\"https:\/\/cybersafety2019.github.io\/\">CyberSafety<\/a>&nbsp;Workshop, May 13, San Francisco, CA.&nbsp;<a href=\"https:\/\/www.researchgate.net\/publication\/331556336_Robust_Cyberbullying_Detection_with_Causal_Interpretation\">pdf<\/a><\/li>\n\n\n\n<li><a href=\"http:\/\/www.public.asu.edu\/~gbeigi\/\">Ghazaleh Beigi<\/a>, Suhas Ranganath, and Huan Liu. &#8220;Signed Link Prediction with Sparse Data: The Role of Personality Information&#8221;, In the Proceedings of the WWW&#8217;19 Women in Web Data Science Workshop (<a href=\"https:\/\/sites.google.com\/view\/winds2019\">WinDS19<\/a>),&nbsp;May 13-17, San Francisco, CA.&nbsp;<a href=\"http:\/\/www.public.asu.edu\/~gbeigi\/files\/BeigiSignedPersonality.pdf\">pdf<\/a><\/li>\n\n\n\n<li>Kai Shu, Suhang Wang, and Huan Liu. Understanding User Profiles on Social Media for Fake News Detection. The First IEEE International Workshop on Fake MultiMedia (<a href=\"http:\/\/www.cs.albany.edu\/~patrey\/FakeMM\/\">FakeMM2018<\/a>), April 10-12, 2018. Miami, FL.<\/li>\n\n\n\n<li>Yafeng&nbsp;Lu, Xia Hu,&nbsp;Feng&nbsp;Wang, Shamanth Kumar, Huan Liu and Ross Maciejewski. Visualizing Social Media Sentiment in Disaster Scenarios. The&nbsp;<a href=\"http:\/\/www.www2015.it\/\">WWW2015&nbsp;<\/a>Workshop on Social Web for Disaster Management (<a href=\"https:\/\/sites.google.com\/site\/swdmwww15\/\">SWDM<\/a>), May 18, 2015. Florence, Italy.<\/li>\n\n\n\n<li>Dror&nbsp;Kenett, Fred Morstatter, Gene Stanley and Huan Liu. Extreme Event Detection in Online Social Media using Social Focus, The 2014 KDD Workshop on Learning about Emergencies from Social Information (<a href=\"https:\/\/sites.google.com\/site\/kddlesi2014\/\">KDD-LESI2014<\/a>), New York, NY. August 24, 2014.<\/li>\n\n\n\n<li>Fred Morstatter, Nichola Lubold, Heather Pon-Barry, J\u00fcrgen Pfeffer, Huan Liu. Finding Eyewitness Tweets During Crises,&nbsp;<a href=\"http:\/\/acl2014.org\/home.htm\">ACL<\/a>&nbsp;Workshop on Language Technology and Computational Social Science, June 2014. Baltimore, Maryland.<\/li>\n\n\n\n<li>Shamanth Kumar, Huan Liu, and Fred Morstatter.&nbsp;<a href=\"http:\/\/www.iscintelligence.com\/event.php?id=107\">Social Computing and Information in the New Information Age<\/a>, presentation, Intelligence in Science. Brussels, Belgium. October 8 -9, 2013<\/li>\n\n\n\n<li>Huiji Gao, Jiliang Tang, and Huan Liu. Mobile Location Prediction in a Spatio-Temporal Context. In&nbsp;<a href=\"http:\/\/pervasiveconference.org\/2012\/workshops.php#w1\">Workshop on Mobile Data Challenge by Nokia<\/a>,&nbsp;<a href=\"http:\/\/pervasiveconference.org\/2012\/workshops.php\">Pervasive 2012,<\/a>&nbsp;Newcastle, UK. June 18-22, 2012.&nbsp;<a href=\"http:\/\/research.nokia.com\/page\/12362\">Winning the 3rd Place Dedicated Task 2: Next Location Prediction<\/a>.<\/li>\n\n\n\n<li>Lei Tang, Huiji Gao, and Huan Liu. Network Quantification Despite Biased Labels. In Workshop on Mining and Learning with Graphs, KDD 2010.<\/li>\n\n\n\n<li>Lei Tang, Xufei Wang, Huan Liu and Lei Wang. A Multi-Resolution Approach to Learning with Overlapping Communities. In Workshop on Social Media Analytics, KDD 2010.&nbsp;<a href=\"http:\/\/www.public.asu.edu\/~hgao16\/papers\/quantification.pdf\">pdf<\/a><\/li>\n\n\n\n<li>Lei Tang and Huan Liu. Uncovering Cross-Dimension Group Structures in Multi-Dimensional Networks,&nbsp;<a href=\"http:\/\/compbio.cs.uic.edu\/adn-sdm09\/\">Workshop on Analysis of Dynamic Networks at the SIAM International Conference on Data Mining<\/a>, 2009.&nbsp;<a href=\"https:\/\/www.public.asu.edu\/%7Ehuanliu\/papers\/sdm-adn09.pdf\">pdf<\/a>.<\/li>\n\n\n\n<li>Zheng Zhao and Huan Liu. Multi-source feature selection via geometry-dependent covariance analysis. Journal of Machine Learning Research, Workshop and Conference Proceedings Volume 4: New challenges for feature selection in data mining and knowledge discovery, 4:36-47, 2008.&nbsp;<a href=\"http:\/\/jmlr.csail.mit.edu\/proceedings\/papers\/v4\/zhao08a\/zhao08a.pdf\">pdf<\/a><\/li>\n\n\n\n<li>Shankara Subramanya and Huan Liu. SocialTagger &#8211; Collaborative Tagging for Blogs in the Long Tail, Workshop on Search in Social Media, ACM 17th Conference on Information and Knowledge Management, October 26-30, 2008. Napa Valley, California.&nbsp;<a href=\"https:\/\/www.public.asu.edu\/%7Ehuanliu\/papers\/ssm12-subramanya.pdf\">pdf<\/a><\/li>\n\n\n\n<li>Payam Refaeilzadeh, Lei Tang, Huan Liu. \u201cOn Comparison of Feature Selection Algorithms\u201d, AAAI 2007 Workshop on Evaluation Methods for Machine Learning II, Vancouver, British Columbia, Canada. July 22, 2007. pdf.<\/li>\n\n\n\n<li>Prabhdeep Singh, Ravi Bhimavarapu, Hasan Davulcu, Chitta Baral, Seungchan Kim, Huan Liu, Mike Bittner, I.V. Ramakrishnan. &#8220;<a href=\"http:\/\/dx.doi.org\/10.1007\/11530084_4\">BioLog:<\/a>&nbsp;A Browser Based Collaboration and Resource Navigation Assistant for BioMedical Researchers&#8221;, 2nd International Workshop on Data Integration in the Life Sciences (<a href=\"http:\/\/www.sdsc.edu\/dils05\/\">DILS 2005<\/a>)&nbsp;University&nbsp;of&nbsp;California,&nbsp;San Diego&nbsp;July 20 &#8211; 22, 2005.<\/li>\n\n\n\n<li>K Selcuk Candan, Jong Wook Kim, Huan Liu, and Reshma Suvarna. &#8220;Stucture-based Mining of Hierarchical Media data, Metadata, and Ontologies&#8221;, Fifth International Workshop on Multimedia Data Mining (MDM\/KDD 2004), August 22 &#8211; 25, 2004,&nbsp;Seattle,&nbsp;WA,&nbsp;USA.&nbsp;<a href=\"http:\/\/www.public.asu.edu\/%7Ehuanliu\/papers\/mdm-kdd04.pdf\">pdf<\/a><\/li>\n\n\n\n<li>P. Foschi, G. Fields II, and H. Liu. &#8220;Detecting a Spectrally Variable Subject in Color Infrared Imagery Using Data-Mining and Knowledge-Engine Methods&#8221;.&nbsp;<a href=\"http:\/\/www.prrs.net\/\">3rd International workshop on Pattern Recognition in Remote Sensing<\/a>,&nbsp;Kingston&nbsp;University,&nbsp;Kingston&nbsp;upon&nbsp;Thames, August 27, 2004.&nbsp;<a href=\"http:\/\/www.public.asu.edu\/%7Ehuanliu\/papers\/prrs04.pdf\">pdf<\/a><\/li>\n\n\n\n<li>L. Parson, E. Haque, and H. Liu. &#8220;Evaluating Subspace Clustering Algorithms&#8221;,&nbsp;<a href=\"http:\/\/www.cs.utexas.edu\/users\/inderjit\/sdm04.html\">Workshop on Clustering High Dimensional Data and Its Applications<\/a>,&nbsp;<a href=\"http:\/\/www.siam.org\/meetings\/sdm04\/\">SIAM International Conference on Data Mining 2004<\/a>, April 24, 2004.&nbsp;Lake Buena Vista,&nbsp;Florida.&nbsp;<a href=\"http:\/\/www.public.asu.edu\/%7Ehuanliu\/papers\/siam-wk04.pdf\">pdf<\/a><\/li>\n\n\n\n<li>Y. Ding, H. Liu, A. Ramineni, A. Sen. &#8220;Detecting Hidden Messages in Images: A Comparative Study&#8221;,&nbsp;<a href=\"http:\/\/www.cis.syr.edu\/%7Ewedu\/ppdm2003\/\">2nd Workshop on Privacy Preserving Data Mining (PPDM)<\/a>,&nbsp;Melbourne,&nbsp;Florida,&nbsp;USA, November 19, 2003.&nbsp;<a href=\"http:\/\/www.cs.ualberta.ca\/%7Eoliveira\/psdm\/pub_by_year.html\">some related publications<\/a><\/li>\n\n\n\n<li>P. Foschi, D. Kolippakkam, H. Liu, A. Mandvikar, &#8220;Feature Extraction for Image Mining&#8221;,&nbsp;<a href=\"http:\/\/www.mis2002.org\/\">International Workshop on Multimedia Information Systems (MIS 2002)<\/a>, 10\/30\/02 &#8211; 11\/1\/02. p 103-109.&nbsp;Tempe,&nbsp;Arizona.&nbsp;<a href=\"http:\/\/www.public.asu.edu\/%7Ehuanliu\/papers\/mis02.pdf\">pdf<\/a>.<\/li>\n\n\n\n<li>P. Foschi and H. Liu, &#8220;Active Learning for Classifying a Spectrally Variable Subject&#8221;, the 2nd International Workshop on Pattern Recognition for Remote Sensing,&nbsp;<a href=\"http:\/\/www.ee.surrey.ac.uk\/Personal\/M.Petrou\/2nd.htm\">(PRRS 2002)<\/a>, August 16, 2002. p. 115-124.&nbsp;Niagara Falls,&nbsp;Canada.&nbsp;<a href=\"http:\/\/www.public.asu.edu\/%7Ehuanliu\/papers\/prrs02.pdf\">pdf<\/a>.<\/li>\n\n\n\n<li>B. Gu, B. Liu, F. Hu, and H. Liu, &#8220;Efficiently Determining Initial Sample Size for Progressive Sampling&#8221;, SIGMOD Data Mining and Knolwedge Discovery Workshop, (DMDK), May 20, 2001, Santa Barbra, USA.&nbsp;<a href=\"http:\/\/www.public.asu.edu\/%7Ehuanliu\/papers\/dmkd01.ps\">postscript<\/a>.<\/li>\n\n\n\n<li>D. Manoranjan and H. Liu, &#8220;Attribute Hierarchy: A Fast and Memory-Efficient Approach to Density-Based Clustering&#8221;, ACM SIGKDD Workshop on Distributed and Parallel Knowledge Discovery (DPKD-2000),&nbsp;Boston, August 2000.<\/li>\n\n\n\n<li>S.N. Ahmed, H. Liu and K.K. Sung &#8220;Incremental Learning with Support Vector Machines&#8221; International Joint Conference on Artificial Intelligence (IJCAI99), Workshop on Support Vector Machines, August 2, 1999,&nbsp;Stockholm,&nbsp;Sweden.&nbsp;<a href=\"https:\/\/www.public.asu.edu\/%7Ehuanliu\/papers\/ijcai99_svm_wksh.ps\">postscript<\/a>.<\/li>\n\n\n\n<li>M. Dash and H. Liu &#8220;Handling Large Unsupervised Data via Dimensionality Reduction&#8221;, SIGMOD Data Mining and Knolwedge Discovery Workshop, (DMDK), May 30, 1999,&nbsp;Philadelphia,&nbsp;USA.<\/li>\n\n\n\n<li>H. Liu, F. Hussain, and K. Ng &#8220;An Efficient Approach to Searching for Reliable Exceptions&#8221;, Pacific Rim International Conference on AI&#8217;98 Workshop on Data Mining, Nov. 1998,&nbsp;Singapore<\/li>\n\n\n\n<li>Ng, K. and H. Liu &#8220;A Belief-Based Approach to Knowledge Discovery in Databases&#8221;, PKAW-98 Pacific Knowledge Acquisition Workshop, Nov. 1998,&nbsp;Singapore<\/li>\n\n\n\n<li>Dash, M. and H. Liu &#8220;Similarity Detection among Data Files &#8211; A Machine Learning Approach&#8221;, IEEE KDEX-97 workshop, Nov. 1997,&nbsp;Newport Beach,&nbsp;California<\/li>\n\n\n\n<li>H. Lu, R. Setiono and H. Liu, &#8220;Towards Effective Classification Rule Extraction&#8221;, DOOD&#8217;95 workshop on Integration of Knowledge Discovery in Databases with Deductive and Object-Oriented Databases, Dec. 1995,&nbsp;Singapore.<\/li>\n\n\n\n<li>&#8220;Representation of Designs and Design Knowledge&#8221;, (with C.D. Rowles and C. Leckie), IJCAI&#8217;91 workshop on &#8220;AI in Design&#8221;, August, 1991,&nbsp;Sydney,&nbsp;Australia.<\/li>\n\n\n\n<li>&#8220;A Personal News Service Based on a User Model Neural Network&#8221;, (with A. Jennings and H. Higuchi), IJCAI&#8217;91 workshop on &#8220;Modeling for Intelligent Interaction&#8221;, ibid.<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\">Local Conferences<\/h2>\n\n\n\n<ul class=\"wp-block-list\">\n<li>&#8220;Making Use of Class Information in Self-Generating Neural Networks&#8221;, (with W.X. Wen), Proceedings of ACNN&#8217;94 (the 5th Australian Neural Network Conference), Jan. 31 &#8211; Feb. 2, 1994,&nbsp;Brisbane,&nbsp;Australia.<\/li>\n\n\n\n<li>&#8220;Some Performance Comparisons for SGNT&#8221;, (with W.X. Wen and A. Jennings), the 4th Australian National Conference on Artificial Intelligence, November 16-18, 1992,&nbsp;Hobart,&nbsp;Tasmania.<\/li>\n\n\n\n<li>&#8220;Critics in Knowledge-Based Design Systems&#8221;, (with C. Rowles and W.X. Wen), ibid.<\/li>\n\n\n\n<li>&#8220;Artificial Intelligence &#8211; Operational Perspective: the CANES Example&#8221;, (with C.D. Rowles, C. Leckie, and A. Jennings), National Technology in Government Conference, Feb. 1992,&nbsp;Canberra,&nbsp;Australia.<\/li>\n\n\n\n<li>&#8220;Acquisition of Grasping Heuristics for Robot Hand Control&#8221;, the 3rd Australian National Conference on Artificial Intelligence, Nov. 1990,&nbsp;Perth,&nbsp;Australia.<\/li>\n\n\n\n<li>&#8220;Machine Regeneration of Solver&#8217;s Problem Solving&#8221; (with H.A. Rowe), the First Annual Conference of Australasian Cognitive Science, Nov. 1990,&nbsp;University of New South Wales,&nbsp;Australia.<\/li>\n\n\n\n<li>&#8220;Knowledge-based Multifingered Robot Hand Grasping&#8221;, the 3rd Australian National Conference on Robotics, June, 1990,&nbsp;Melbourne,&nbsp;Australia.<\/li>\n\n\n\n<li>&#8220;Task analysis: a method of robot hand control&#8221;, Simulation&#8217;87, Society of Manufacturing Engineers, AI in Manufacturing, October, 1987, Long Beach, California.<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\"><a>Technical Reports&nbsp;<\/a>and Doctoral Consortia<\/h2>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Kaize Ding, Kai Shu, Yichuan Li, Amrita Bhattacharjee, and Huan Liu. &#8220;Challenges in Combating COVID-19 Infodemic &#8211; Data, Tools, and Ethics. May 2020.&nbsp;<a href=\"https:\/\/arxiv.org\/abs\/2005.13691\">https:\/\/arxiv.org\/abs\/2005.13691<\/a><\/li>\n\n\n\n<li><a href=\"http:\/\/www.public.asu.edu\/~lcheng35\/\">Lu Cheng<\/a>, Yasin N. Silva, Deborah Hall, and Huan Liu. &#8220;Personalized Learning for Cyberbullying Detection&#8221;, SBP-BRiMS Doctoral Consortium, 2018.&nbsp;<a href=\"http:\/\/www.public.asu.edu\/~ynsilva\/publications\/PersonalizedLearningCB2018.pdf\" target=\"_blank\" rel=\"noreferrer noopener\">pdf<\/a><\/li>\n\n\n\n<li>Jundong Li, Kewei Cheng, Suhang Wang, Fred, Morstatter, Rober P. Trevino, Jiliang Tang, and Huan Liu. &#8220;<a href=\"http:\/\/arxiv.org\/abs\/1601.07996\">Feature Selection: A Data Perspective<\/a>&#8220;, submitted on January 29, 2016. http:\/\/arxiv.org\/abs\/1601.07996<\/li>\n\n\n\n<li><a href=\"http:\/\/dmml.asu.edu\/users\/xufei\/\">Xufei Wang<\/a>,&nbsp;<a href=\"http:\/\/www.public.asu.edu\/~huanliu\/\">Huan Liu<\/a>, Peng Zhang and Baoxin Li. &#8220;<a href=\"http:\/\/dmml.asu.edu\/users\/xufei\/Papers\/TR-12-001.pdf\">Identifying Information Spreaders in Twitter Follower Networks<\/a>&#8220;, Technical Report, TR-12-001, School of Computing, Informatics, and Decision Systems Engineering, Arizona State University, Tempe, AZ 85287, 2012.<\/li>\n\n\n\n<li>Xia Hu and Huan Liu. &#8220;Social Status and Role Analysis of Palin&#8217;s Email Network&#8221;,&nbsp;<a href=\"http:\/\/engineering.asu.edu\/research\/programs\/cs\/working_papers\">ASUCIDSE-2011-007<\/a>, School of Computing, Informatics, and Decision Systems Engineering, Arizona State University, AZ 85287. Nov. 2011.<\/li>\n\n\n\n<li>Pritam Gundecha and Huan Liu. &#8220;Minimizing User Vulnerability and Retaining Social Utility in Social Media&#8221;,&nbsp;<a href=\"http:\/\/engineering.asu.edu\/research\/programs\/cs\/working_papers\">ASUCIDSE-2011-006<\/a>, School of Computing, Informatics, and Decision Systems Engineering, Arizona State University, AZ 85287. Nov. 2011.<\/li>\n\n\n\n<li>Jiliang Tang and Huna Liu. &#8220;Feature Selection with Linked Data in Social Media&#8221;,&nbsp;<a href=\"http:\/\/engineering.asu.edu\/research\/programs\/cs\/working_papers\">ASUCISE-2011-005<\/a>, School of Computing, Informatics, and Decision Systems Engineering, Arizona State University, AZ 85287. Nov. 2011.<\/li>\n\n\n\n<li>Huiji Gao, Xufei Wang, Jiliang Tang, and Huan Liu. &#8220;Network Denoising in Social Media&#8221;,&nbsp;<a href=\"http:\/\/engineering.asu.edu\/research\/programs\/cs\/working_papers\">TR-11-002<\/a>, School of Computing, Informatics, and Decision Systems Engineering, Arizona State University, AZ 85287, 2011.<\/li>\n\n\n\n<li>Pritam Gundecha, Geoffrey Barbier, and Huan Liu.&#8221;Exploiting Vulnerability to Secure User Privacy on Social Networking Sites&#8221;, TR-11-001, School of Computing, Informatics, and Decision Systems Engineering, Arizona State University, AZ 85287, 2011.<\/li>\n\n\n\n<li>Zheng Zhao,&nbsp;Jieping Yefont FACE=&#8221;CMR12&#8243;&gt;, Shipeng Yu, and Huan Liu. &#8220;Nonlinear Multiple Kernel Learning via Mixture of Probabilistic Kernel Discriminant Analysis&#8221;,&nbsp;<a href=\"https:\/\/www.public.asu.edu\/%7Ehuanliu\/papers\/tr-10-008.pdf\">TR-10-008<\/a>, School of Computing, Informatics, and Decision Systems Engineering, Arizona State University, Tempe, AZ 85287, 2010.<\/li>\n\n\n\n<li>Zheng Zhao,&nbsp;Fred Morstatter, Shashvata Sharma, Salem Alelyani, Aneeth Anand, and Huan Liu. &#8220;Advancing Feature Selection Research &#8211; ASU Feature Selection Repository&#8221;,&nbsp;<a href=\"https:\/\/www.public.asu.edu\/%7Ehuanliu\/papers\/tr-10-007.pdf\">TR-10-007<\/a>, School of Computing, Informatics, and Decision Systems Engineering, Arizona State University, Tempe, AZ 85287, 2010.<\/li>\n\n\n\n<li>Lei Tang, Xufei Wang, and Huan Liu. &#8220;Community Detection in Multi-Dimensional Networks&#8221;,&nbsp;<a href=\"https:\/\/www.public.asu.edu\/%7Ehuanliu\/papers\/tr-10-006.pdf\">TR-10-006<\/a>, School of Computing, Informatics, and Decision Systems Engineering, Arizona State University, Tempe, AZ 85287, 2010.<\/li>\n\n\n\n<li>Lei Tang, Xufei Wang, and Huan Liu. &#8220;Understanding Emerging Social Structures &#8211; A Group Profiling Approach&#8221;, Technical Report,&nbsp;<a href=\"https:\/\/www.public.asu.edu\/%7Ehuanliu\/papers\/groupprofiling.pdf\">TR-10-002<\/a>, School of Computing, Informatics, and Decision Systems Engineering, Arizona State University, Tempe, AZ 85287, 2010.<\/li>\n\n\n\n<li>Nitin Agarwal, Huan Liu, John Salerno, Shankar Subramanya, and Philip Yu. &#8220;Familiar Strangers: Connecting Dots on Blogosphere&#8221;, Technical Report, TR-08-005, School of Computing Informatics, Arizona State University, Tempe, AZ 85287, 2008.<\/li>\n\n\n\n<li>Nitin Agarwal, Magdiel Galan, Huan Liu, Shankar Subramanya. &#8220;Clustering with Collective Wisdom &#8211; A Comparative Study&#8221;, Technical Report, TR-08-004, School of Computing Informatics, Arizona State University, Tempe, AZ 85287, 2008.<\/li>\n\n\n\n<li>S. Subramanya, B. Li, C. Gries and H. Liu. \u201cSelecting Complementary Features from Multiple Data Sources for Information Integration\u201d, Technical Report, TR-07-009, School of Computing Informatics, Arizona State University, Tempe, AZ 85287, 2007.<\/li>\n\n\n\n<li>N. Agarwal, H. Liu, J. Salerno, P. Yu. &#8220;Searching for `Familiar Strangers&#8217; on Blogosphere: Problems and Challenges&#8221;, Technical Report, TR-07-008, CSE, School of Computing Informatics, Arizona State University, Tempe, AZ 85287, 2007.<\/li>\n\n\n\n<li>N. Agarwal, H. Liu, L. Tang. &#8220;Identifying the Influentials in Blogosphere\u201d, Technical Report, TR-07-004, CSE, School of Computing Informatics, Arizona State University, Tempe, AZ 85287, 2007.<\/li>\n\n\n\n<li>Z. Zhao and H. Liu. &#8220;Semi-supervised Feature Selection via Spectral Analysis&#8221;, Technical Report,&nbsp;<a href=\"http:\/\/www.public.asu.edu\/%7Ehuanliu\/papers\/ssfs.pdf\">TR-06-022<\/a>, Department of Computer Science and Engineering, Arizona State University, Tempe, AZ 85287, 2006.<\/li>\n\n\n\n<li>Y. Ye, L. Yu, and H. Liu.&nbsp; &#8220;Sparse Linear Discriminant Analysis&#8221;, Technical Report, TR-06-010, Department of Computer Science and Engineering, Arizona State University, Tempe, AZ 85287, 2006.<\/li>\n\n\n\n<li>L. Tang, J. Zhang, and H. Liu, &#8220;Acclimatizing Taxonomic Semantics for Hierarchical Content Classification&#8221;, Technical Report, TR-06-004, Department fo Computer&nbsp;Scienceand Engineering,&nbsp;Arizona&nbsp;State University,&nbsp;Tempe,&nbsp;AZ&nbsp;85287, 2006.<\/li>\n\n\n\n<li>L. Tang and H. Liu, &#8220;Bia Analysis in Text Classification for Highly Skewed Data&#8221;, Technical Report, TR-05-008, Department fo Computer Science and Engineering,&nbsp;Arizona&nbsp;State&nbsp;University,&nbsp;Tempe,&nbsp;AZ&nbsp;85287, 2005.<\/li>\n\n\n\n<li>L. Yu, J. Rennert, H. Liu, and M.E. Berens, &#8220;Exploiting Statistical Redundancy in Expression Microarray Data to Foster Biological Relevance&#8221;, Technical Report, TR-05-005, Department fo Computer Science and Engineering,&nbsp;Arizona&nbsp;State&nbsp;University,&nbsp;Tempe,&nbsp;AZ&nbsp;85287, 2005.<\/li>\n\n\n\n<li>D. Kolippakkam, H. Liu, A. Joy, C. Beaudry, M.E. Berens, &#8220;An Image Mining Approach for Measuring Intensity, Size and Geographical localization of Stained Bodies in Cultured Cells: Application in Apoptosis Detection&#8221;, Technical Report, TR-03-010, Department of Computer Science and Engineering, Arizona State University, Tempe, AZ 85287, 2003.&nbsp;<a href=\"http:\/\/www.public.asu.edu\/%7Ehuanliu\/papers\/TR-03-010.pdf\">pdf<\/a>.<\/li>\n\n\n\n<li>B. Gu, F. Hu, and H. Liu, &#8220;Sampling and Its Applications in Data Mining: A Survey&#8221;, School of Computing,&nbsp;National&nbsp;University&nbsp;of&nbsp;Singapore, Technical Report, TRA6-00, 2000.&nbsp;<a href=\"http:\/\/techrep.comp.nus.edu.sg\/techreports\/2000\/TRA6-00.asp\">available on-line<\/a>.<\/li>\n\n\n\n<li>F. Hussain, H. Liu, C.L. Tan, and M. Dash, &#8220;Discretization: An Enabling Technique&#8221;, Technical Report, TRC6\/99, School of Computing, National&nbsp;University&nbsp;of&nbsp;Singapore, June, 1999.&nbsp;<a href=\"http:\/\/techrep.comp.nus.edu.sg\/techreports\/1999\/TRC6-99.asp\">available on-line<\/a>.<\/li>\n\n\n\n<li>N.A. Syed, H. Liu and K.K. Sung, &#8220;From Incremental Learning to Model Independent Instance Selection &#8211; A Support Vector Machine Approach&#8221;, Technical Report, TRA9\/99, School of Computing, National&nbsp;University&nbsp;of&nbsp;Singapore, Setp, 1999.&nbsp;<a href=\"http:\/\/techrep.comp.nus.edu.sg\/techreports\/1999\/TRA9-99.asp\">available on-line<\/a>.<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\"><a>Books<\/a><\/h2>\n\n\n\n<p><a href=\"https:\/\/www.public.asu.edu\/%7Ehuanliu\/publications.html#conference\">Conference<\/a>&nbsp;<a href=\"https:\/\/www.public.asu.edu\/%7Ehuanliu\/publications.html#patent\">Patent<\/a>&nbsp;<a href=\"https:\/\/www.public.asu.edu\/%7Ehuanliu\/publications.html#journal\">Journal<\/a>&nbsp;<a href=\"https:\/\/www.public.asu.edu\/%7Ehuanliu\/publications.html#work\">Workshop<\/a>&nbsp;<a href=\"https:\/\/www.public.asu.edu\/%7Ehuanliu\/publications.html#book\">Book<\/a><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Raha Moraffah and Huan Liu. &#8220;Causality: Learning to Discover with Data&#8221;, Morgan &amp; Claypool Publishers, forthcoming<\/li>\n\n\n\n<li><a href=\"https:\/\/scholar.google.com\/citations?user=9rpkTSkAAAAJ&amp;hl=en\">Lu Cheng<\/a>&nbsp;and Huan Liu. &#8220;<a href=\"https:\/\/www.worldscientific.com\/worldscibooks\/10.1142\/13150#t=aboutBook\">Socially Responsible AI: Theories and Practice<\/a>&#8220;, World Scientific,&nbsp;<a href=\"https:\/\/doi.org\/10.1142\/13150\">https:\/\/doi.org\/10.1142\/13150<\/a>&nbsp;|&nbsp;March 2023<\/li>\n\n\n\n<li><a href=\"https:\/\/scholar.google.com\/citations?user=8Nuj8NwAAAAJ&amp;hl=en\">Ruocheng Guo<\/a>, Lu Cheng, Hao Liu, and Huan Liu.&nbsp; &#8220;Causal Inference and Machine Learning&#8221; in Chinese, Publishing House of Electronics Industry, January, 2023.<\/li>\n\n\n\n<li>Tanmoy Chakraborty,<a href=\"http:\/\/www.cs.iit.edu\/~kshu\/\">Kai Shu<\/a>, H. Russell Bernard, Huan Liu, and Md Shad Akhtar (Eds.). &#8220;Combating Online Hostile Posts in Regional Languages during Emergency Situation&#8221;, First International Workshop, CONSTRAINT 2021 Collocated with AAAI 2021Virtual Event, February 8, 2021, Revised Selected Papers. Communications in Computer and Information Science 1402, ISBN 978-3-030-73695-8<\/li>\n\n\n\n<li><a href=\"http:\/\/www.cs.iit.edu\/~kshu\/\">Kai Shu<\/a>, Suhang Wang, Dongwon Lee, and Huan Liu, Editors. &#8220;Disinformation, Misinformation, and Fake News in Social Media &#8211; Emerging Research Challenges and Opportunities&#8221;, Lectures Notes in Social Networks, Springer.&nbsp; 2020 DOI https:\/\/doi.org\/10.1007\/978-3-030-42699-6.<\/li>\n\n\n\n<li><a href=\"http:\/\/www.cs.iit.edu\/~kshu\/\">Kai Shu<\/a>&nbsp;and Huan Liu, &#8220;<a href=\"http:\/\/www.cs.iit.edu\/~kshu\/dfn\/\">Detecting Fake News on Social Media<\/a>&#8220;, Morgan &amp; Claypool Publishers, July, 2019. DOI:&nbsp;<a href=\"http:\/\/www.morganclaypool.com\/doi\/abs\/10.2200\/S00926ED1V01Y201906DMK018\">10.2200\/S00926ED1V01Y201906DMK018<\/a><\/li>\n\n\n\n<li><a href=\"http:\/\/cecs.wright.edu\/~gdong\/\">Guozhu Dong<\/a>&nbsp;and Huan Liu, Editors. &#8220;<a href=\"https:\/\/www.crcpress.com\/Feature-Engineering-for-Machine-Learning-and-Data-Analytics\/Dong-Liu\/p\/book\/9781138744387\">Feature Engineering for Machine Learning and Data Analytics<\/a>&#8220;, Chapman and Hall\/CRC Press, 2018.&nbsp;<a href=\"http:\/\/cecs.wright.edu\/~gdong\/FE_CFC.pdf\">CFP<\/a><\/li>\n\n\n\n<li><a href=\"http:\/\/www.jiliang.xyz\/\">Jiliang Tang<\/a>&nbsp;and Huan Liu. &#8220;<a href=\"http:\/\/www.morganclaypool.com\/doi\/10.2200\/S00657ED1V01Y201507SPT013\">Trust in Social Media<\/a>&#8220;, Morgan &amp; Claypool Publishers, September, 2015.<\/li>\n\n\n\n<li><a href=\"http:\/\/www.nini2yoyo.com\/\">Huiji Gao<\/a>&nbsp;and Huan Liu. &#8220;<a href=\"http:\/\/www.morganclaypool.com\/doi\/10.2200\/S00630ED1V01Y201502DMK011\">Mining Human Mobility in Location-Based Social Networks<\/a>&#8220;, Morgan &amp; Claypool Publishers, April, 2015.<\/li>\n\n\n\n<li>Reza Zafarani, Mohammad Ali Abbasi, and Huan Liu. &#8220;<a href=\"http:\/\/dmml.asu.edu\/smm\/\">Social Media Mining: An Introduction<\/a>&#8220;,&nbsp;<a href=\"http:\/\/www.cambridge.org\/ec\/academic\/subjects\/computer-science\/knowledge-management-databases-and-data-mining\/social-media-mining-introduction\">Cambridge University Press<\/a>, ISBN:&nbsp;9781107018853.&nbsp;May, 2014.<\/li>\n\n\n\n<li><a href=\"http:\/\/www.public.asu.edu\/~skumar34\">Shamanth Kumar<\/a>,&nbsp;<a href=\"http:\/\/www.public.asu.edu\/~fmorstat\/\">Fred Morstatter<\/a>, and Huan Liu. &#8220;T<a href=\"http:\/\/www.springer.com\/computer\/database+management+&amp;+information+retrieval\/book\/978-1-4614-9371-6\">witter Data Analytics<\/a>&#8220;,&nbsp;<a href=\"http:\/\/tweettracker.fulton.asu.edu\/tda\/\">preprint for free download with code<\/a>, Springer, January, 2014.<\/li>\n\n\n\n<li>Geoffrey Barbier, Zhuo Feng, Pritam Gundecha, and Huan Liu. &#8220;<a href=\"http:\/\/www.morganclaypool.com\/doi\/abs\/10.2200\/S00496ED1V01Y201304DMK007\">Provenance Data in Social Media<\/a>&#8220;, Morgan &amp; Claypool Publishers, May, 2013.<\/li>\n\n\n\n<li><a href=\"https:\/\/sites.google.com\/site\/alanzhao\/Home\">Zheng Alan Zhao<\/a>&nbsp;and Huan Liu. &#8220;<a href=\"http:\/\/dmml.asu.edu\/sfs\">Spectral Feature Selection for Data Mining<\/a>&#8220;,&nbsp;<a href=\"http:\/\/www.crcpress.com\/product\/isbn\/9781439862094\">Chapman and Hall\/CRC Press<\/a>, 2012.<\/li>\n\n\n\n<li><a href=\"http:\/\/leitang.net\/\">Lei Tang<\/a>&nbsp;and Huan Liu. &#8220;<a href=\"http:\/\/www.morganclaypool.com\/doi\/abs\/10.2200\/S00298ED1V01Y201009DMK003\">Community Detection and Mining in Social Media<\/a>&#8220;, Morgan &amp; Claypool Publishers, September 2010.&nbsp;<a href=\"http:\/\/dmml.asu.edu\/cdm\/\">Lecture Slides<\/a>&nbsp;available.&nbsp;<a href=\"http:\/\/hzbook.com\/Books\/6660.html\">Chinese Translation<\/a>&nbsp;published in 2012.<\/li>\n\n\n\n<li><a href=\"http:\/\/ualr.edu\/nxagarwal\/Homepage\/Welcome.html\">Nitin Agarwal<\/a>&nbsp;and Huan Liu. &#8220;<a href=\"http:\/\/www.morganclaypool.com\/doi\/abs\/10.2200\/S00213ED1V01Y200907DMK001\">Modeling and Data Mining in Blogosphere<\/a>&#8220;, Morgan &amp; Claypool Publishers, July 2009.<\/li>\n\n\n\n<li>Huan Liu and Hiroshi Motoda. &#8220;Feature Selection for Knowledge Discovery and Data Mining&#8221;, July 1998, ISBN 0-7923-8198-X, by&nbsp;<a href=\"http:\/\/www.wkap.nl\/book.htm\/0-7923-8198-X\">Kluwer Academic Publishers<\/a>.<\/li>\n\n\n\n<li>Huan Liu and Hiroshi Motoda, Editors.&nbsp;\u201cComputational Methods of Feature Selection\u201d, 2008, Chapman and Hall\/CRC Press.<\/li>\n\n\n\n<li>&#8220;Proceedings of the 2009 SIAM International Conference on Data Mining&#8221;,&nbsp;<a href=\"http:\/\/www.siam.org\/meetings\/sdm09\/\">SDM09<\/a>, edited, H. Park, P. Srinivasan, H. Liu, and Z. Obradovic, 2009, Society for Industrial and Applied Mathematics, USA.<\/li>\n\n\n\n<li>&#8220;Social Computing and Behavioral Modeling&#8221;,&nbsp;<a href=\"http:\/\/www.public.asu.edu\/~huanliu\/sbp09\">SBP09<\/a>, Huan Liu, John J. Salerno, Michael J. Young, editors, 2009, Springer.<\/li>\n\n\n\n<li>&#8220;Social Computing, Behavioral Modeling, and Prediction&#8221;,&nbsp;<a href=\"http:\/\/www.public.asu.edu\/~huanliu\/sbp08\">SBP08<\/a>, Huan Liu, John J. Salerno, Michael J. Young, editors, 2008, Springer.<\/li>\n\n\n\n<li>&#8220;Advances in Knowlegde Discovery and Data Mining&#8221;,&nbsp;&nbsp;9th Pacific-Asia Conference, PAKDD 2005,&nbsp;Hanoi,&nbsp;Vietnam, May 18-20, 2005, Proceedings. Series:&nbsp;<a href=\"http:\/\/www.springeronline.com\/sgw\/cda\/frontpage\/0,11855,4-147-69-1180994-0,00.html\">Lecture Notes in Computer Science<\/a>, Subseries:&nbsp;<a href=\"http:\/\/www.springeronline.com\/sgw\/cda\/frontpage\/0,11855,4-147-69-1181004-0,00.html\">Lecture Notes in Artificial Intelligence<\/a>, Vol. &nbsp;3518. Ho, Tu Bao; Cheung, David; Liu, Huan (Eds.)&nbsp;&nbsp;<a href=\"http:\/\/www.springeronline.com\/3-540-26076-5\">ISBN: 3-540-26076-5<\/a>. Springer.<\/li>\n\n\n\n<li>&#8220;Instance Selection and Construction for Data Mining&#8221;, Huan Liu and Hiroshi Motoda, editors, Feburary 2001, ISBN 0-7923-7209-3 by&nbsp;<a href=\"http:\/\/www.wkap.nl\/book.htm\/0-7923-7209-3\">Kluwer Academic Publishers<\/a>.<\/li>\n\n\n\n<li>&#8220;Knowledge Discovery and Data Mining &#8211; Current Issues and New Applications&#8221; &#8211; Proceedings of the 4th Pacific-Asia Conference, PAKDD 2000 (Takao Terano, Huan Liu, Arbee L.P. Chen), Kyoto, Japan, April 2000.&nbsp;<a href=\"http:\/\/www.springer.de\/comp\/lncs\">Springer<\/a>.<\/li>\n\n\n\n<li>&#8220;Feature Extraction, Construction and Selection: A Data Mining Perspective&#8221;, (with Hiroshi Motoda), July 1998 (2nd Printing, 2001), ISBN 0-7923-8196-3 by&nbsp;<a href=\"http:\/\/www.wkap.nl\/book.htm\/0-7923-8196-3\">Kluwer Academic Publishers<\/a>.<\/li>\n\n\n\n<li>&#8220;KDD: Techniques and Applications&#8221; &#8211; Proceedings of the 1st Pacific Asia Conference on Knowledge Discovery and Data Mining (PAKDD&#8217;97), (Hongjun Lu, Hiroshi Motoda, and Huan Liu), 23-24 Feburary, 1997,&nbsp;Singapore.&nbsp;<a href=\"http:\/\/wspc.com.sg\/\">World Scientific<\/a>.<\/li>\n\n\n\n<li>&#8220;AI&#8217;93&#8221;, Proceedings of the 6th Australian Joint Conference on Artificial Intelligence, (Chris Rowles, Huan Liu, and Norman Foo), 16-19 November, 1993,&nbsp;Melbourne,&nbsp;Australia.&nbsp;<a href=\"http:\/\/wspc.com.sg\/\">World Scientific<\/a>.<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\">Book Chapters and Encyclopedia Entries<\/h2>\n\n\n\n<ul class=\"wp-block-list\">\n<li><a href=\"https:\/\/scholar.google.com\/citations?user=-6bAV2cAAAAJ&amp;hl=en\">Kai Shu<\/a>,&nbsp; Ahmadreza Mosallanezhad, and Huan Liu. &#8220;<a href=\"https:\/\/link.springer.com\/chapter\/10.1007\/978-981-19-1524-6_9\">Cross-Domain Fake News Detection on Social Media: A Context-Aware Adversarial Approach<\/a>&#8220;, Chapter, in&nbsp;Frontiers&nbsp;in&nbsp;Fake&nbsp;Media&nbsp;Generation&nbsp;and&nbsp;Detection, Springer, pp 215-232, May 2022. DOI: 10.1007\/978-981-19-1524-6_9<\/li>\n\n\n\n<li>Walaa Alnasser, Ghazaleh Beigi, and Huan Liu. &#8220;<a href=\"https:\/\/www.igi-global.com\/chapter\/an-overview-on-protecting-user-private-attribute-information-on-social-networks\/261726\">An Overview on Protecting User Private-Attribute Information on Social Networks<\/a>&#8220;, Handbook of Research on Cyber Crime and Information Privacy, 102-117, 2021<\/li>\n\n\n\n<li><a href=\"https:\/\/scholar.google.com\/citations?user=-6bAV2cAAAAJ&amp;hl=en\">Kai Shu<\/a>, Suhang Wang, Dongwon Lee, and Huan Liu, &nbsp;&#8220;Mining Disinformation and Fake News: Concepts, Methods, and Recent Advancements&#8221;, Chapter, in Disinformation, Misinformation, and Fake News in Social Media &#8211; Emerging Research Challenges and Opportunities, Lecture Notes in Social Networks, Springer. Editors: Kai Shu, Suhang Wang, Dongwon Lee, and Huan Liu. 2020&nbsp;&nbsp;<a href=\"https:\/\/arxiv.org\/pdf\/2001.00623.pdf\">pdf<\/a><\/li>\n\n\n\n<li>Nur Shazwani Kamarudin, Ghazaleh Beigi, Lydia Manikonda, and Huan Liu. &#8220;Social Media for Mental Health: Data, Methods, and Findings&#8221;, in Open Source Intelligence and Security Informatics, Editors: Mohammad A. Tayebi, Uwe Glaesser, and David Skillicorn. First online August 2020.<\/li>\n\n\n\n<li><a href=\"http:\/\/www.public.asu.edu\/~skai2\/\">Kai Shu<\/a>, H. Russell Bernard, and Huan Liu. &#8220;<a href=\"https:\/\/arxiv.org\/abs\/1804.10233\">Studying Fake News via Network Analysis: Detection and Mitigation<\/a>&#8220;,&nbsp;&nbsp;<a href=\"https:\/\/www.springer.com\/us\/book\/9783319941042\">Emerging Resesarch Challenges and Opportunities in Computational Social Network Anaysis and Mining<\/a>, Editors: Nitin Agarwal, Nima Dokoohaki, and Serpil Tokdemir. Lecture Notes in Social Networks (LNSN), Springer. 2019. &nbsp;<\/li>\n\n\n\n<li><a href=\"http:\/\/www.public.asu.edu\/~swang187\/\">Suhang Wang<\/a>&nbsp;and Huan Liu. &#8220;<a href=\"http:\/\/www.public.asu.edu\/~swang187\/publications\/DeepLearningFeatureRepresentation.pdf\">Deep Learning for Feature Representation<\/a>&#8220;, Chapter 11, Feature Engineering for Machine Learning and Data Analytics, Editors: Guozhu Dong and Huan Liu. Chapman and Hall\/CRC Press, 2018.<\/li>\n\n\n\n<li><a href=\"https:\/\/scholar.google.com\/citations?user=oq_AneQAAAAJ&amp;hl=en\">Vineeth Rakesh<\/a>, Lei Tang, and Huan Liu. &#8220;Feature Learning from Social Graphs&#8221;, Encyclopedia of Big Data Technologies, edited by Shrif Sakr and Albert Y. Zomaya. Springer Switzerland. First ONline: 13 Feb 2018. DOI:&nbsp;https:\/\/doi.org\/10.1007\/978-3-319-63962-8_273-1<\/li>\n\n\n\n<li><a href=\"http:\/\/ualr.edu\/nxagarwal\/Homepage\/Welcome.html\">Nitin Agarwal<\/a>&nbsp;and Huan Liu, &#8220;Trust in Blogosphere&#8221;, In Encyclopedia of Database Systems, August 2, 2017. Editors: Ling Liu and&nbsp;<a href=\"https:\/\/link.springer.com\/search?facet-creator=%22Prof.+M.+Tamer+%C3%96zsu%22\">M. Tamer \u00d6zsu<\/a>. doi:&nbsp;<a href=\"https:\/\/meteor.springer.com\/springerlink\/publication.jsf?isbn=978-1-4899-7993-3&amp;chapter=438&amp;version=2\">10.1007\/978-1-4899-7993-3_438-2<\/a>.<\/li>\n\n\n\n<li><a href=\"http:\/\/ualr.edu\/nxagarwal\/Homepage\/Welcome.html\">Nitin Agarwal<\/a>&nbsp;and Huan Liu, &#8220;Time- and Event-Driven Modeling of Blogger Influence&#8221;, In Encyclopedia of Social Network Analysis and Mining, June 16, 2017. Editors:&nbsp;Reda Alhajj and Jon&nbsp;Rokne.<a href=\"http:\/\/link.springer.com\/referenceworkentry\/10.1007\/978-1-4614-7163-9_378-1\" target=\"_blank\" rel=\"noreferrer noopener\">&nbsp;doi:10.1007\/978-1-4614-7163-9_378-1<\/a>,<a href=\"https:\/\/link.springer.com\/referenceworkentry\/10.1007\/978-1-4614-7163-9_378-1\">&nbsp;download<\/a><\/li>\n\n\n\n<li><a href=\"http:\/\/www.public.asu.edu\/~liangwu1\/\">Liang Wu<\/a>&nbsp;and Huan Liu, &#8220;<a href=\"https:\/\/link.springer.com\/referenceworkentry\/10.1007\/978-1-4614-7163-9_110196-1\">Detecting Crowdturfing in Social Media<\/a>&#8220;, in Encyclopedia of Social Network Analysis and Mining. June 6, 2017.&nbsp;<a href=\"http:\/\/link.springer.com\/referenceworkentry\/10.1007\/978-1-4614-7163-9_110196-1\" target=\"_blank\" rel=\"noreferrer noopener\">doi:10.1007\/978-1-4614-7163-9_110196-1<\/a>,&nbsp;<a href=\"https:\/\/link.springer.com\/referenceworkentry\/10.1007\/978-1-4614-7163-9_110196-1\">download<\/a><\/li>\n\n\n\n<li>Suhang Wang,&nbsp;Jiliang Tang, and Huan Liu. &#8221;Feature Selection&#8221;,&nbsp;<a href=\"http:\/\/link.springer.com\/referencework\/10.1007\/978-1-4899-7502-7\">Encyclopedia of Machine Learning and Data Mining<\/a>, Springer.&nbsp;pp503-511. Springer 2017, ISBN 978-1-4899-7685-7.&nbsp;<a href=\"http:\/\/www.cse.msu.edu\/~tangjili\/publication\/Feature_Selection.pdf\">a preprint<\/a>&nbsp;&nbsp;<\/li>\n\n\n\n<li><a href=\"http:\/\/www.public.asu.edu\/~liangwu1\/\">Liang Wu<\/a>, Fred Morstatter, Xia Hu, Huan Liu,&nbsp;&#8220;Mining Misinformation in Social Media&#8221;, in Big Data in Complex and Social Networks. Chapter 5, pages123-152. Edited by&nbsp;My T.Thai, WeiliWu and HuiXiong. Boca Raton, FL CRC Press 2016.&nbsp;<a href=\"http:\/\/www.public.asu.edu\/~liangwu1\/LiangMisinfoBookChapter.pdf\">pdf<\/a><\/li>\n\n\n\n<li><a href=\"http:\/\/www.public.asu.edu\/~gbeigi\/\">Ghazaleh Beigi<\/a>, Xia Hu, Ross Maciejewski, and Huan Liu. &#8220;An Overview of Sentiment Analysis in Social Media and Its Applications in Disaster Relief&#8221;, in Sentiment Analysis and Ontology Engineering: An Environment of Computational Intelligence. Springer. Editors: Shyi-Ming Chen and Witold Pedrycz. Studies in Computational Intelligence 639, Springer Switzerland 2016. DOI 10.1007\/978-3-319-30319-2.&nbsp;<a href=\"http:\/\/www.public.asu.edu\/~gbeigi\/files\/BeigiSentimentChapter.pdf\">pdf<\/a><\/li>\n\n\n\n<li><a href=\"http:\/\/www.public.asu.edu\/~swang187\/\">Suhang Wang<\/a>, Jiliang Tang, and Huan Liu. &#8220;Feature Selection&#8221;, Encyclopedia of Machine Learning and Data Mining DOI:10.1007\/978-1-4899-7502-7_101-1, 2016.&nbsp;<a href=\"http:\/\/www.public.asu.edu\/~swang187\/publications\/Feature_Selection.pdf\">pdf<\/a><\/li>\n\n\n\n<li><a href=\"http:\/\/www.nini2yoyo.com\/\">Huiji Gao<\/a>&nbsp;and Huan Liu. &#8220;Time-Aware Personalized Location Recommendation&#8221;, Encyclopedia of GIS, 2nd Edition, Springer. Editors: Shashi Shekhar and Hui Xiong. pp 1-11. 2016. DOI&nbsp;<a href=\"http:\/\/link.springer.com\/referenceworkentry\/10.1007\/978-3-319-23519-6_1581-1\">10.1007\/978-3-319-23519-6_1581-1<\/a>.<\/li>\n\n\n\n<li>Isaac Jones, Lei Tang, and Huan Liu. &#8220;Community Discovery in Muti-Mode Networks&#8221;, in&nbsp;<a href=\"http:\/\/www.springer.com\/us\/book\/9783319238340\">User Community Discovery<\/a>. Human-Computer Interaction Series, Springer. Editors: Georgios Paliouras, Symeon Papadopoulos, Dimitrios Vogiatzis, and Yiannis Kompatsiaris. December, 2015. DOI 10.1007\/978-3-319-23835-7<\/li>\n\n\n\n<li><a href=\"http:\/\/www.public.asu.edu\/~skumar34\">Shamanth Kumar<\/a>,&nbsp;<a href=\"http:\/\/www.public.asu.edu\/~fmorstat\/\">Fred Morstatter<\/a>&nbsp;and Huan Liu. &#8220;Analyzing Twitter data&#8221;, in&nbsp;<a href=\"http:\/\/www.cambridge.org\/ae\/academic\/subjects\/computer-science\/computing-and-society\/twitter-digital-socioscope\">Twitter: A Digital Socioscope<\/a>, Cambridge University Press. Editors: Yelena Mejova, Ingmar Weber, and Michael W. Macy. May, 2015.&nbsp;<a href=\"http:\/\/www.public.asu.edu\/~fmorstat\/paperpdfs\/socioscope_book_chapter.pdf\">pdf<\/a><\/li>\n\n\n\n<li>Xia Hu and Huan Liu. &#8220;Mining and Profiling in Social media&#8221;,&nbsp;<a href=\"http:\/\/onlinelibrary.wiley.com\/book\/10.1002\/9781118767771\">International Encyclopedia of Digital Communication and Society<\/a>, Blackwell-Wiley in association with the International Communication Association. Editors: Robin Mansell and Peng Hwa Ang. DOI:&nbsp;10.1002\/9781118767771. February 9th, 2015. pdf<\/li>\n\n\n\n<li>Mohammad Ali Abbasi, Jiliang Tang, and Huan Liu. &#8220;Trust Aware Recommender Systems&#8221;, in&nbsp;<a href=\"https:\/\/www.crcpress.com\/Computational-Trust-Models-and-Machine-Learning\/Liu-Datta-Lim\/9781482226669\">Machine Learning based Computational Trust,<\/a>&nbsp;Editors: Xin Liu, Anwitaman Datta, and Ee-Peng Lim.&nbsp;Chapman &amp; Hall\/CRC Press. October 29, 2014.&nbsp;<a href=\"http:\/\/www.public.asu.edu\/~mabbasi2\/papers\/2014-TARS\/Trust-aware_Recommended_Systems,Abbasi-Tang-Liu,2014.pdf\">pdf<\/a><\/li>\n\n\n\n<li><a href=\"https:\/\/profiles.ualr.edu\/na10\/\">Nitin Agarwal<\/a>, Debanjan Mahata, and Huan Liu. &#8220;Time and Event Driven Modeling of Blogger Influence&#8221;,&nbsp;<a href=\"http:\/\/www.springer.com\/computer\/communication+networks\/book\/978-1-4614-6169-2\">Encyclopedia of Social Network Analysis and Mining<\/a>&nbsp;(ESNAM), Springer. Editors: Reda Alhajj and Jon&nbsp;Rokne,&nbsp;2014.&nbsp;<\/li>\n\n\n\n<li>Jiliang Tang, Salem Alelyani, and Huan Liu. &#8220;Feature Selection for Classification: A Review&#8221;, in&nbsp;<a href=\"http:\/\/www.crcpress.com\/product\/isbn\/9781466586741\">Data Classification: Algorithms and Applications<\/a>, Editor: Charu Aggarwal. CRC Press, 2014.&nbsp;<a href=\"http:\/\/www.cse.msu.edu\/~tangjili\/publication\/feature_selection_for_classification.pdf\">pdf<\/a><\/li>\n\n\n\n<li>Zhuo Feng, Pritam Gundecha, and Huan Liu. &#8220;Social Provenance&#8221;,&nbsp;<a href=\"http:\/\/www.springer.com\/computer\/communication+networks\/book\/978-1-4614-6169-2\">Encyclopedia of Social Network Analysis and Mining<\/a>&nbsp;(ESNAM), Springer. Editors: Reda Alhajj and Jon&nbsp;Rokne,&nbsp;2014.<\/li>\n\n\n\n<li><a href=\"http:\/\/www.nini2yoyo.com\/\">Huiji Gao<\/a>&nbsp;and Huan Liu. &#8220;Data Analysis on Location-Based Social Networks&#8221; in&nbsp;<a href=\"http:\/\/www.springer.com\/physics\/complexity\/book\/978-1-4614-8578-0\">Mobile Social Networking: An Innovative Approach<\/a>, Editors: Alvin Chin and Daqing Zhang, Springer, 2014.&nbsp;<a href=\"http:\/\/www.public.asu.edu\/~hgao16\/Publications.html\">pdf<\/a><\/li>\n\n\n\n<li>Salem Alelyani, Jiliang Tang, and Huan Liu. &#8220;Feature Selection for Clustering: A Review&#8221;, in<a href=\"http:\/\/www.crcpress.com\/product\/isbn\/9781466558212\">&nbsp;Data Clustering: Algorithms and Applications<\/a>, Editors: Charu Aggarwal and Chandan Reddy. CRC Press, 2013.&nbsp;<a href=\"http:\/\/www.public.asu.edu\/~salelyan\/MyPub\/FS4clustering_chapter.pdf\">pdf.<\/a><\/li>\n\n\n\n<li>Pritam Gundecha and Huan Liu. &#8220;Mining Social Media: A Brief Introduction&#8221;, Tutorials in Operations Research &#8211; New Directions in Informatics, Optimization, Logistics, and Production, pp 1 &#8211; 17. Edior: Pitu B. Mirchandani, INFORMS, 2012.&nbsp;<a href=\"http:\/\/www.public.asu.edu\/~pgundech\/book_chapter\/smmSlides.pdf\">slides<\/a><\/li>\n\n\n\n<li>Xia Hu and Huan Liu. &#8220;Text Analytics in Social Media&#8221; in&nbsp;<a href=\"http:\/\/www.springer.com\/computer\/database+management+&amp;+information+retrieval\/book\/978-1-4614-3222-7\">Mining Text Data,<\/a>&nbsp;Editor: Charu C. Aggawal and Chengxiang Zhai , Springer. pp 385 &#8211; 414. March, 2012.<\/li>\n\n\n\n<li>Geoffrey Barbier and Huan Liu. &#8220;Data Mining in Social Media&#8221; in&nbsp;<a href=\"http:\/\/www.springer.com\/computer\/database+management+&amp;+information+retrieval\/book\/978-1-4419-8461-6\">Social Network Data Analytics<\/a>, Editor: Charu C. Aggawal, Springer, Boston\/Dordrecht\/London, pp 327 -352. March, 2011.<\/li>\n\n\n\n<li>L. Tang and H. Liu. &#8220;Understanding Group Structures and Properties in Social Media&#8221;, in Link Mining: Models, Algorithms and Applications, Editors: Philip Yu, Jiawei Han, and Christos Faloutsos. Springer. pp 163 &#8211; 185. 2010.<\/li>\n\n\n\n<li>L. Tang and H. Liu. &#8220;Graph Mining and Applications to Social Network Analysis&#8221;, in Managing and Mining Graph Data, Editors: Charu Aggarwal and Haixun Wang. Springer. February, 2010.<\/li>\n\n\n\n<li>H. Liu. &#8220;Feature Selection: An Overview&#8221;, in Encyclopedia of Machine Learning, Claude Sammut and Geoffrey I. Webb (Ed.), Springer. September, 2010<\/li>\n\n\n\n<li>H. Liu and Z. Zhao. &#8220;Manipulating Data and Dimensionality Reduc-tion Methods: Feature Selection&#8221;, in Encyclopedia of Complexity and Systems Science, Robert Meyers (Ed.), Springer.&nbsp;Part 13, pp 5348 &#8211; 5359. Springer. 2009.&nbsp;DOI:&nbsp;10.1007\/978-0-387-30440-3_317.<\/li>\n\n\n\n<li>N. Agarwal and H. Liu. &#8220;Trust in Blogosphere&#8221;, in Encyclopedia of Database Systems (EDBS). Part 20, pp. 3187-3191. Editors: Ling Liu and M. Tamer \u00d6zsu. SpringerLink. 2009.&nbsp;<a href=\"doi:10.1007\/978-0387-39940-9_348\">DOI:10.1007\/978-0387-39940-9_348<\/a>.<\/li>\n\n\n\n<li>N. Agarwal, H. Liu, J. Zhang. &#8220;A Study of Friendship Networks and Blogosphere&#8221;, Handbook of Research on Text and Web Mining Technologies, Editors: M. Song and Y. Wu . Information Science Reference (an imprint of IGI Global). pp. 646-669, 2009.<\/li>\n\n\n\n<li>P.&nbsp;Refaeilzadeh, L. Tang, and H. Liu. &#8220;Cross Validation&#8221;, in&nbsp;Encyclopedia of Database Systems (EDBS), Editors: Ling Liu and M. Tamer \u00d6zsu. Springer, pp6. 2009..<\/li>\n\n\n\n<li>N. Agarwal, H. Liu, J.J. Salerno, P.S. Yu. &#8220;Searching for `Familiar Strangers&#8217; on Blogosphere&#8221;,Next Generation of Data Mining, Editors: Hillol Kargupta, Jiawei Han, Philip Yu, RajeevMotwani, Vipin Kumar, Chapman &amp; Hall\/CRC Press, pp 295 &#8211; 315, 2009.<\/li>\n\n\n\n<li>M. Dash and H. Liu. &#8220;Dimensionality Reduction&#8221;, in Encyclopedia of Computer Science and Engineering, John Wiley &amp; Sons, Inc. Volume 2, pages 958-966. The ISBN for the 5-Volume set is 978-0-471-38393-2. Benjamin W. Wah, Editor, published in Hoboken, NJ, January 2009.&nbsp;<a href=\"https:\/\/www.public.asu.edu\/%7Ehuanliu\/papers\/dm07.pdf\">draft pdf<\/a><\/li>\n\n\n\n<li>Sai Moturu, Lance Parsons, Zheng Zhao, and Huan Liu.&#8221;Integrative Data Analysis for Biological Discovery&#8221;, in Encyclopedia of Data Warehousing and Mining, 2nd Edition, Editor: John Wang. Idea Group, Inc. pp 1058 &#8212; 1065, September, 2008.<\/li>\n\n\n\n<li>Z. Zhao and H. Liu. &#8220;On Interacting Features in Subset Selection&#8221;, in Encyclopedia of Data Warehousing and Mining, 2nd Edition, Editor: John Wang. Idea Group, Inc. pp 1079 &#8212; 1084, September, 2008.<\/li>\n\n\n\n<li>L. Tang, H. Liu, and J. Zhang. &#8220;Taxonomy Adaptation for Hierarchical Content Categorization&#8221;, in Encyclopedia of Data Warehousing and Mining, 2nd Edition, Editor: John Wang. Idea Group, Inc. pp 178 &#8212; 182, September, 2008.&nbsp;<\/li>\n\n\n\n<li>K. Selcuk Candan, Jong Wook Kim, Huan Liu, Reshma Suvarna, and Nitin Agarwal. &#8220;Spatial Transformations for Identifying Mappings in Hierarchical Media Data&#8221;, in Multimedia Data Mining and Knowledge Discovery, Editors: Valery A. Petrushin and Latifur Khan, Springer, 2006.<\/li>\n\n\n\n<li>L. Yu and H. Liu. &#8220;Data Mining Methods for Microarray Data Analysis&#8221;, in&nbsp;<a href=\"http:\/\/www.idea-group.com\/encyclopedia\/details.asp?ID=4465\">Encyclopedia of Data Warehousing and Mining<\/a>, Editor:&nbsp;<a href=\"http:\/\/frontpage.montclair.edu\/wangj\/\">John Wang<\/a>, Idea Group Inc. 2005.<\/li>\n\n\n\n<li>H. Liu and L. Yu, &#8220;Instance Selection&#8221;, in&nbsp;<a href=\"http:\/\/www.idea-group.com\/encyclopedia\/details.asp?ID=4465\">Encyclopedia of Data Warehousing and Mining<\/a>, Editor:&nbsp;<a href=\"http:\/\/frontpage.montclair.edu\/wangj\/\">John Wang<\/a>, Idea Group Inc. 2005. 2nd Edition, pp 1041 &#8212; 1045, September 2008.<\/li>\n\n\n\n<li>H. Liu, A. Mandvikar, and P.G. Foschi, &#8220;An Active Learning Approach to Egeria densa Detection in Digital Imagery&#8221;,&nbsp; in New Generation of Data Mining Applciations,&nbsp;<a href=\"http:\/\/www.public.asu.edu\/%7Ehuanliu\/papers\/ieeeChapt05.pdf\">pdf<\/a>, IEEE, Feb. 2005.<\/li>\n\n\n\n<li>H. Liu, H. Motoda, and L. Yu, &#8220;Feature Extraction, Selection, and Construction&#8221;,&nbsp; in The Handbook of Data Mining, Lawrence Erlbaum Associates, Inc. Publishers. Editor: N. Ye. PP 409 &#8211; 423. 2003.<\/li>\n\n\n\n<li>H. Motoda and H. Liu, &#8220;Feature Selection&#8221;,&nbsp; section contribution to Handbook of Data Mining and Knowledge Discovery, Oxford University Press, New York. Editors: W. Kl\u00f6sgenh and J. Zytkow. PP 208 &#8211; 213, 2002.<\/li>\n\n\n\n<li>H. Motoda and H. Liu, &#8220;Feature Aggregation&#8221;,&nbsp; section contribution to Handbook of Data Mining and Knowledge Discovery, Oxford University Press, New York. Editors: W. Kl\u00f6sgenj and . Zytkow. PP 214 &#8211; 2172002.<\/li>\n\n\n\n<li>H. Liu and H. Motoda, &#8220;Data Reduction via Instance Selection&#8221;,&nbsp; in Instance Selection and Construction for Data Mining, Editors: H. Liu and H. Motoda, Kluwer Academic Publishers, Boston, USA, February 2001. pp 3&#8211;20.<\/li>\n\n\n\n<li>B. Gu, F. Hu, and H. Liu, &#8220;Sampling: Knowing Whole from Its Part&#8221;,&nbsp; in Instance Selection and Construction for Data Mining, Editors: H. Liu and H. Motoda, Kluwer Academic Publishers,&nbsp;Boston,&nbsp;USA, February 2001. pp 21&#8211;38.<\/li>\n\n\n\n<li>M. Dash and H. Liu, &#8220;Unsupervised Feature Ranking and Selection&#8221;,&nbsp; in Knowledge Discovery for Business Information Systems. Editors: W. Abramowicz and J. Zurada, Kluwer Academic Publishers,&nbsp;Boston,&nbsp;USA, Dec. 2000. pp 67&#8211;88.<\/li>\n\n\n\n<li>H. Liu and H. Motoda, &#8220;Less Is More&#8221;,&nbsp; in Feature Extraction, Construction and Selection: A Data Mining Perspective,&nbsp;<a href=\"http:\/\/www.wkap.nl\/book.htm\/0-7923-8196-3\">Kluwer Academic Publishers<\/a>. Pages: 3 &#8211; 12. Editors: H. Liu and H. Motoda. July 1998.<\/li>\n\n\n\n<li>R. Setiono and H. Liu, &#8220;Feature Extraction via Neural Networks&#8221;,&nbsp; in Feature Extraction, Construction and Selection: A Data Mining Perspective,&nbsp;<a href=\"http:\/\/www.wkap.nl\/book.htm\/0-7923-8196-3\">Kluwer Academic Publishers<\/a>. Pages: 191 &#8211; 204. Editors: H. Liu and H. Motoda. July 1998.<\/li>\n\n\n\n<li>H. Liu, &#8220;A Family of Efficient Rule Generators&#8221;, Encyclopedia of Computer Science and Technology, Volume 39, Marcel Dekker, Inc.,&nbsp;New York. Pages: 15 &#8211; 28. Editors: Allen Kent and James G. Williams. 1998.&nbsp;<a href=\"http:\/\/www.public.asu.edu\/%7Ehuanliu\/papers\/erg.ps\">postscript<\/a>.<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\">Book Review<\/h2>\n\n\n\n<ul class=\"wp-block-list\">\n<li>&#8220;Machine Learning, Neural and Statistical Classification&#8221; edited by D. Michie, D.J. Spielhalter and C.C. Taylor. SIGART BULLETIN, &#8211; A Quarterly Publication of ACM, vol.7 no.1. (January 1996):16.<\/li>\n\n\n\n<li>&#8220;Neural Networks for Statistical Modeling&#8221; by M. Smith. The Australian Computer Journal, vol. 25, no. 4 (November 1993): 165.<\/li>\n\n\n\n<li>&#8220;AI in Engineering Design&#8221; edited by C. Tsong and D. Sriram. The Australian Computer Journal, vol. 25, no. 4 (November 1993): 163.<\/li>\n<\/ul>\n\n\n\n<p><a href=\"https:\/\/www.public.asu.edu\/%7Ehuanliu\/publications.html#conference\">Conference<\/a>&nbsp;<a href=\"https:\/\/www.public.asu.edu\/%7Ehuanliu\/publications.html#patent\">Patent<\/a>&nbsp;<a href=\"https:\/\/www.public.asu.edu\/%7Ehuanliu\/publications.html#journal\">Journal<\/a>&nbsp;<a href=\"https:\/\/www.public.asu.edu\/%7Ehuanliu\/publications.html#work\">Workshop<\/a>&nbsp;<a href=\"https:\/\/www.public.asu.edu\/%7Ehuanliu\/publications.html#book\">Book<\/a><br><em>Latest revision: 7\/18\/2023<\/em><\/p>\n<\/div>\n\n\n\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\" style=\"flex-basis:33.33%\">\n<div class=\"wp-block-group has-gray-2-background-color has-background is-layout-constrained wp-container-core-group-is-layout-656e9d28 wp-block-group-is-layout-constrained\" style=\"padding-top:var(--wp--preset--spacing--uds-size-4);padding-right:var(--wp--preset--spacing--uds-size-4);padding-bottom:var(--wp--preset--spacing--uds-size-4);padding-left:var(--wp--preset--spacing--uds-size-4)\">\n<p>Additional bibliographic information can be found at&nbsp;<a href=\"http:\/\/dblp.uni-trier.de\/pers\/hd\/l\/Liu_0001:Huan\">DBLP<\/a>&nbsp;ID: 92\/309-1 (don&#8217;t know how to curate this list).<\/p>\n\n\n\n<p>Semantic Scholar ID:&nbsp;<a href=\"https:\/\/www.semanticscholar.org\/author\/Huan-Liu\/38746648\">38746648<\/a>&nbsp;(don&#8217;t know how to add\/delete)<\/p>\n\n\n\n<p>Download some papers via&nbsp;<a href=\"http:\/\/dl.acm.org\/author_page.cfm?id=81367594306\">ACM Digital Library<\/a>; ORCID:&nbsp;<a href=\"https:\/\/orcid.org\/0000-0002-3264-7904\" target=\"_blank\" rel=\"noreferrer noopener\">0000-0002-3264-7904<\/a><\/p>\n\n\n\n<p>Google Scholar&nbsp;<a href=\"http:\/\/scholar.google.com\/citations?user=Dzf46C8AAAAJ&amp;hl=en\">Profile<\/a>&nbsp;ID: Dzf46C8AAAAJ (regularly curated).<\/p>\n<\/div>\n<\/div>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p class=\"mb-2\">International Conference Recent Publications at https:\/\/scholar.google.com\/citations?hl=en&amp;user=Dzf46C8AAAAJ&amp;view_op=list_works&amp;sortby=pubdate 2026 2025 For the papers published this year, please see the first author&#8217;s Google Scholar page (-&gt; Their Homepage)Zeyad Alghamdi, Alimohammad Beigi. Ujun Jeong, Bohan Jiang, Ahmet Kapki\u00e7, Tharindu Kumarage, Dawei Li, Paras Sheth, Zhen Tan, Lo Pang-Yun Ting (Teila), Saketh Vishnubhatla, Shu Wan, Chengshuai Zhao Lo Pang-Yun Ting&#8230;<\/p>\n","protected":false},"author":3,"featured_media":0,"parent":0,"menu_order":5,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"footnotes":""},"class_list":["post-5","page","type-page","status-publish","hentry"],"acf":[],"_links":{"self":[{"href":"https:\/\/faculty.engineering.asu.edu\/huanliu\/wp-json\/wp\/v2\/pages\/5","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/faculty.engineering.asu.edu\/huanliu\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/faculty.engineering.asu.edu\/huanliu\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/faculty.engineering.asu.edu\/huanliu\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/faculty.engineering.asu.edu\/huanliu\/wp-json\/wp\/v2\/comments?post=5"}],"version-history":[{"count":10,"href":"https:\/\/faculty.engineering.asu.edu\/huanliu\/wp-json\/wp\/v2\/pages\/5\/revisions"}],"predecessor-version":[{"id":419,"href":"https:\/\/faculty.engineering.asu.edu\/huanliu\/wp-json\/wp\/v2\/pages\/5\/revisions\/419"}],"wp:attachment":[{"href":"https:\/\/faculty.engineering.asu.edu\/huanliu\/wp-json\/wp\/v2\/media?parent=5"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}