Bio: Hanghang Tong is currently an assistant professor at School of Computing, Informatics, and Decision Systems Engineering (CIDSE), Arizona State University since August 2014. Before that, he was an assistant professor at Computer Science Department, City College, City University of New York, a research staff member at IBM T.J. Watson Research Center and a Post-doctoral fellow in Carnegie Mellon University. He received his M.Sc and Ph.D. degree from Carnegie Mellon University in 2008 and 2009, both majored in Machine Learning. His research interest is in large scale data mining for graphs and multimedia. He has received several awards, including NSF CAREER award (2017), ICDM 2015 Highest-Impact Paper Award, four best paper awards (TUP14, CIKM12, SDM08, ICDM06), five bests of conference (KDD16, SDM15, ICDM15, SDM11 and ICDM10) and one best demo, honorable mention (SIGMOD17). He has published over 100 referred articles. He is an associated editor of SIGKDD Explorations (ACM), an action editor of Data Mining and Knowledge Discovery (Springer), and an associate editor of Neurocomping Journal (Elsevier); and has served as a program committee member in multiple data mining, databases and artificial intelligence venues (e.g., SIGKDD, SIGMOD, AAAI, WWW, CIKM, etc).