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 in DMML, please consider taking CSE472 Social Media Mining.

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
• ASU CSRankings

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