|search externally:||Google Scholar, Springer, CiteSeer, Microsoft Academic Search, Scirus , DBlife|
Huan Liu is a 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. He was recognized for excellence in teaching and research in Computer Science and Engineering at Arizona State University. His research interests are in data mining, machine learning, social computing, and artificial intelligence, investigating 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 serves on journal editorial boards and numerous conference program committees, and is a founding organizer of the International Conference Series on Social Computing, Behavioral-Cultural Modeling, and Prediction (http://sbp.asu.edu/). He is an IEEE Fellow. All presenters are active researchers in social network analysis, social media mining, and data mining in recent years. They will present or presented tutorials on relevant topics in WWW14, ICDM13, WWW'13, WSDM'13, and KDD08. Their years’ research and extensive experience in recommendation and social media mining make them uniquely qualified to deliver this timely tutorial of recommendation in social media.
Blogosphere: Research Issues, Applications, and Tools
as author at 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), Las Vegas 2008,
together with: Nitin Agarwal,
Recommendation in Social Media
as author at 20th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), New York 2014,
together with: Jie Tang, Jiliang Tang,
Recent Advances in Feature Selection: A Data Perspective
as author at KDD 2017 Tutorials,
together with: Jundong Li, Jiliang Tang,
Big Data + Deep Learning = A Universal Solution?
as author at KDD 2017 Workshops,