Bio: Hanghang Tong is currently a Professor and a University Scholar at Siebel School of Computing and Data Science, University of Illinois Urbana-Champaign. Before that, he worked at Arizona State University as an associate professor, at City University of New York (City College) as an assistant professor and at IBM T. J. Watson Research Center as a Research Staff Member. He received his Ph.D. from the Machine Learning Department of School of Computer Science at Carnegie Mellon University in 2009. His major research interest lies in large-scale data mining for graphs and multimedia. In the past, He has published 300+ papers at these areas, and his research has received several awards, including SDM/IBM 2018 early career data mining research award, two ‘test of time’ awards (ICDM 2015 & 2022 10-Year Highest Impact Paper award), ICDM Tao Li award (2019), NSF CAREER award, and several best paper awards. He was Editor-in-Chief of ACM SIGKDD Explorations (2018 - 2022) and is co-Editor-in-Chief of ACM Computing Surveys (CSUR). He is a fellow of ACM (2025), a fellow of IEEE (2022), a senior member of AAAI (2025), and a university scholar of UIUC (2024).