Graduate Students





Huan Liu, Professor
Computer Science and Engineering

School of Computing, Informatics, and Decision Systems Engineering

Ira A. Fulton Schools of Engineering, Arizona State University
PO Box 878809, Tempe, AZ 85287-8809, U.S.A.

Brickyard Suite 553 (CIDSE), 699 South Mill Ave, Tempe, AZ 85281
for FedEx type mails

phone: 480-727-7349(voice) 480-965-2751(fax)
E-mail: huan.liu at; Calendar




Office Location and Office Hours

Brickyard 566
TThu 4:15 - 5:15PM
Other times by appointment only

Directions to CSE, SCIDSE

Professional Activities, Keynotes, & Invited Talks

Classes in Fall 2016

CSE691 Advanced Topics on Social Media Analysis
TTh 3:00PM - 4:15PM, BAC260
Line number: 92818, 8/18/2016 - 12/2/2016

CV        Short Bio

Research Interests                                    New Books:  Trust in Social Media, 2015; Twitter Data Analytics, 2014; New Survey: Signed Network Mining in Social Media, 2016; New Tech Report: Feature Selection: A Data Perspective

His 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  

Graduate Students, Visiting Scholars, and Research Projects                         DMML Group Pictures

Self motivated students looking for exciting projects can find more information here. We have our own wiki.

Weekly meeting schedules are in DMML private wiki.

Related News

Professional Memberships

AAAI, ACM (Distinguished Scientist), AAAS, ASEE, IEEE (Fellow), SIAM;

Software or Data Downloads

AAAI2017 Tutorial on Social Data Bias in Machine Learning: Impact, Evaluation, and Correction, February 4-5, 2017, San Francisco, CA.
SBP2016 Tutorial on Misinformation on Social Media: Diffusion, Detection, and Intervention, June 28, 2016, Washington DC. Blog on KDnuggets
ASONAM2015 Tutorial on Bot Detection in Social Media: Networks, Behavior, and Evaluation, August 25, 2015, Paris, France.

DragonStar Lecture 2015 in Guilin on Data Mining and Some Advanced Topics July 9 - July 14, 2015

WWW2015 Tutorial on LIKE and Recommendation in Social Media (slides available)

RecSys2014 Tutorial on Personalized Location Recommendation on Location Based Social Networks, slides
SIGKDD14 Tutorial on Recommendation in Social Media - Recent Advances and New Frontiers, slides
PAKDD2014 Tutorial on Mining Spammers in Social Media: Techniques and Applications, slides

WWW2014 Tutorial on Trust in Social Computing, slides
ICDM 2013 Tutorial on Social Media Mining: Fundamental Issues and Challenges, slides
INFORMS 2012 Tutorial on Mining Social Media - A Brief Introduction, slides
International Conference on Social Computing 2009 Tutorial on Community Detection and Behavior Prediction for Social Computing
, ppt

KDD08 Tutorial on Blogosphere: Research, Tools, and Applications, video

SIAM Data Mining SDM 2007 Tutorial on Dimensionality Reduction for Data Mining - Techniques, Applications, and Trends

AAAI 2005 Tutorial Notes on Downsizing Data for High Performance in Learning - Feature Selection Methods:

Call for Chapters, Papers, Nominations, or Tutorial/Workshop Proposals:

Last updated on 10/11/2016