Welcome

Huan Liu

Regents Professor

School of Computing and Augmented Intelligence

• [email protected]
• 480-727-7349
• BYENG 566

Liu’s areas of expertise include Data Mining, Machine Learning, Feature Selection, Social Computing, Social Media Mining, and AI. He is a Fellow of ACM, AAAI, AAAS, and IEEE.

Calendar

If you’d like to volunteer to do research in DMML, please consider taking CSE472 Social Media Mining
(Graduate students can take this course as part of their degree programs).

https://www.public.asu.edu/~huanliu for those with ASU access

Textbooks

Social Media Mining: An Introduction
Cambridge University Press, 2014

Get the textbook

Chinese translation

Links

• Data Mining and Machine Learning Lab
• Social Computing Data
• Feature Selection, scikit-feature Python repository
• Social Computing, Behavioral-Cultural Modeling, and Prediction Series

Research Interests                                   

New Surveys:

1. Causal Inference for Time Series Analysis: Problems, Methods, and Evaluation,
2. Socially Responsible AI Algorithms: Issues, Purposes, and Challenges 2021,
3. Causal Interpretability for Machine Learning – Problems, Methods and Evaluation 2020,
4. Learning Causality with Data: Problems and Methods 2020,
5. Privacy in Social Media: Identification, Mitigation and Applications, 2020; Frontiers in Big Data, Data Mining & Management

My research focuses on developing computational methods for data mining, machine learning, and social computing, and designing efficient algorithms to enable effective problem solving ranging from basic research, text/Web mining, bioinformatics, image mining, to real-world applications. His work includes (i) dealing with high dimensional data via feature selection and feature discretization; (ii) social media mining/social computing, identifying the influentials in the blogosphere, group profiling and interaction; (iii) integrating multiple data sources to overcome ambiguity and uncertainty, (iv) employing domain knowledge for effective mining and information integration,  and (v) assisting human experts by developing effective methods of ensemble learning, and active learning with hierarchical classification, subspace clustering, and meta data. Detailed information can be obtained via his publications and professional activities. 

Associated with the AI lab at ASU; an affiliated faculty with Institute of Social Science Research at ASU

Huan Liu’s Short Bio Sketch

Dr. Huan Liu is a Regents Professor and Ira A. Fulton Professor of Computer Science and Engineering at Arizona State University. He obtained his Ph.D. in Computer Science at University of Southern California and B.Eng. in Computer Science and Electrical Engineering at Shanghai JiaoTong University. Before he joined ASU, he worked at Telecom Australia Research Labs and was on the faculty at National University of Singapore. At Arizona State University, he was recognized for excellence in teaching and research in Computer Science and Engineering and received the 2014 President’s Award for Innovation. He is the recipient of the ACM SIGKDD 2022 Innovation Award. His research interests are in data mining, machine learning, feature selection, social computing,  social media mining, and artificial intelligence, investigating interdisciplinary problems that arise in many real-world, data-intensive applications with high-dimensional data of disparate forms such as social media. His well-cited publications include books, book chapters, encyclopedia entries as well as conference and journal papers. He is a co-author of a text, Social Media Mining: An Introduction, Cambridge University Press. He is a founding organizer of the International Conference Series on Social Computing, Behavioral-Cultural Modeling, and Prediction, Editor in Chief of ACM TIST, and Field Chief Editor of Frontiers in Big Data  and its Specialty Chief Editor of Data Mining and Management. He is a Fellow of ACM, AAAI, AAAS, and IEEE.