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: huanliu at; Calendar




Office Location and Office Hours

Brickyard 566
MW 12:00 - 1:00PM
Other times by appointment only

Directions to CSE, SCIDSE

Professional Activities, Keynotes, & Invited Talks

Classes in Fall 2019

CSE472 Social Media Mining
MW 10:45AM - 12:00PM, CAVC359
Line number: 87681, 8/22/2019 - 12/6/2019

CV        Short Bio

Professional Memberships

ACM (Fellow)
AAAI (Fellow)
AAAS (Fellow)
IEEE (Fellow)

Research Interests                                    New Surveys: Learning Causality with Data: Problems and Methods 2018, Privacy in Social Media: Identification, Mitigation and Applications, 2018; New Book: Detecting Fake News in Social Media 2019; Frontiers in Big Data, Data Mining & Management

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; an affiliated faculty with Institute of Social Science Research at ASU

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

Self motivated students looking for exciting projects can find more information here. Weekly lab meetings are held on Fridays.

Related News

Software or Data Downloads

ACM SIGKDD2019 Tutorial on ``Fake News Research: Theories, Detection Strategies, and Open Problems", August, 2019, Anchorage, Alaska. pdf

ACM WSDM2019 Tutorial on Fake News: Fundamental Theories, Detection Strategies and Challenges, February 2019, Melbourne, Australia. pdf, media coverage

IEEE ICDM2017 Tutorial on Mining Misinformation in Social Media: Understanding Its Rampant Spread, Harm, and Intervention, November 21, 2017, New Orleans, Louisiana. Slides

SIGKDD2017 Tutorial on Recent Advances in Feature Selection: A Data Perspective, August 13, 2017, Halifax, Nova Scotia, Canada. pdf

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 Books, Chapters, Papers, or Nominations:

  • Frontiers in Big Data, Data Mining and Management, How to Submit
  • Call for Authors, Understanding AI: NLP, Causality, Fairness, and Ethics, A CRC Press book series
  • Call for Chapters, ``Fake News, Disinformation, and Misinformation in Social Media - Emerging Research Challenges and Opportunities", Lecture Notes in Social Networks, Springer. to appear in early 2020
  • Call for Papers, IEEE Intelligent Systems: Special Issue on Non-IID Outlier Detection in Complex Contexts, 2019 due, 2020 to appear
  • Call for Papers, ACM Journal DTRAP: Special Issue on Fake-News Research, 2019 due, 2020 to appear
  • ACM CIKM 2019 Workshop on BigScholar2019, Beijing, China, November 2019
  • SDM2019 Workshop on ``FEND: Data Mining for FakE News in Social Media: Propagation, Detection and Mitigation", CFP (cancelled)
  • IEEE Big Data 2018, CFP
  • SIGKDD2018 Workshop on BigScholar2018, London, UK, August 2018
  • WWW2017 Workshop on BigScholar, Perth, Australia, April 2017
  • Feature Engineering for Machine Learning and Data Analytics, CRC, pdf
  • Online Behavioral Analysis and Modeling, Janurary/February 2016, IEEE Intelligent Systems, Vol 31, Number 1
  • WWW2016 Workshop on BigScholar, Montreal, Canada, April 2016
  • BEAMS2015:  Behavior Analysis, Modeling, and Steering Workshop at ICDM2015, Call for Papers
  • ASONAM2015, Paris, France. Call for Papers
  • WWW2015 Workshop on BigScholar, Florence, Italy, 2015
  • SIGKDD2014 Doctoral Dissertation Award, Call for Nominations, deadline, April 30, 2014.
  • CIKM2014 Workshops, Call for Proposals, deadline, April 20, 2014.
  • WWW2014 Workshop on BigScholar, Call for Papers, Seoul, Korea. April 8, 2014.
  • IEEE/CIC ICCC2014, Symposium on Social Networks and Big Data, Call for Papers, Shanghai, China. October 13-15, 2014
  • Springer Social Network Analysis and Mining,  Special Issue on "Uncovering Deception in Social Media", CFP, new due date: July 15, 2013.
  • The 14th International Conference on Web-Age Information Management (WAIM'13), Beidaihe, China. June 14-16, 2013.
  • SIAM International Conference on Data Mining (SDM'12), Disney’s Paradise Pier Hotel, Anaheim, CA. April 26-28, 2012. Poster in pdf
  • SIAM International Conference on Data Mining (SDM'11), Mesa, Arizona. April 28 - 30, 2011. Photos and Blog by Dirk Van den Poel

Last updated on 10/22/2019