Auteur: Hanghang Tong

Hanghang Tong is currently an associate professor at the Department of Computer Science at University of Illinois at Urbana-Champaign. Before that, he was an associate professor at the School of Computing, Informatics, and Decision Systems Engineering (CIDSE), Arizona State University. He received his M.Sc. and Ph.D. from Carnegie Mellon University in 2008 and 2009, respectively, both in Machine Learning. His research interest is in large-scale data mining for graphs and multimedia. He has received several awards, including SDM/IBM Early Career Data Mining Research award (2018), NSF CAREER award (2017), ICDM 10-Year Highest Impact Paper award (2015), four best paper awards (TUP’14, CIKM’12, SDM’08, ICDM’06), seven “bests of conference, ” one best demo, honorable mention (SIGMOD’17), and one best demo candidate, second place (CIKM’17). He has published over 100 refereed articles. He is the Editor-in-Chief of SIGKDD Explorations (ACM), an action editor of Data Mining and Knowledge Discovery (Springer), and an associate editor of Knowledge and Information Systems (Springer) and Neurocomputing Journal (Elsevier). He has served as a program committee member in multiple data mining, database, and artificial intelligence venues (e.g., SIGKDD, SIGMOD, AAAI, WWW, CIKM, etc.).