Jiliang Tang is a research scientist at Yahoo Labs. He received his Ph.D. in computer science at Arizona State University in 2014, and B.S./M.S. from Beijing Institute of Technology in 2008 and 2010, respectively. His research interests include trust/distrust computing, feature selection, social computing, data mining, and machine learning. He was awarded the Runner Up of SIGKDD Dissertation Award 2015, Dean’s Dissertation Award 2015, Outstanding Graduating Computer Science Ph.D. Student 2015, the 2014 ASU President’s Award for Innovation, Best Paper Shortlist in WSDM13, the 3rd Place Dedicated Task 2 Next Location Prediction of Nokia Mobile Data Challenge 2012, University Graduate Fellowship, and various Student Travel Awards and Scholarships. He co-presented three tutorials in KDD2014, WWW2014, and Recsys2014, and has published innovative works in highly ranked journals and top conference proceedings such as ACM Computing Survey, IEEE TKDE, ACM TKDD, DMKD, ACM SIGKDD, SIGIR, WWW, WSDM, SDM, ICDM, IJCAI, AAAI, and CIKM.
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. He is an IEEE Fellow.
