博客來Vivian Cheng, Ph.D., is an applied scientist at Amazon. She earned her Ph.D. in Computer Science from UCLA in 2024. Her main research areas include graph and network mining as well as broader interests in data mining and machine learning. Dr. Cheng’s work has been featured in various prestigious conferences across multiple domains such as KDD, VLDB, WSDM, CIKM, AAAI, ICLR, EMNLP, and ACL.
Yizhou Sun, Ph.D., is a Professor in the Department of Computer Science at UCLA and Amazon Scholar. She received her Ph.D. in Computer Science from the University of Illinois at Urbana-Champaign in 2012. Her principal research interest is on mining graphs/networks and more generally in data mining, machine learning, and network science, with a focus on modeling novel problems and proposing scalable algorithms for large-scale, real-world applications. She is a pioneer researcher in mining heterogeneous information network, with a recent focus on deep learning on graphs and neuro-symbolic reasonings. Dr. Sun has over 180 publications in books, journals, and major conferences. Tutorials of her research have been given in many premier conferences. She is a recipient of multiple Best Paper Awards, ACM SIGKDD Doctoral Dissertation Award, Yahoo ACE (Academic Career Enhancement) Award, NSF CAREER Award, CS@ILLINOIS Distinguished Educator Award, Amazon Research Awards, Okawa Foundation Research Award, VLDB Test of Time Award, WSDM Test of Time Award, ACM Distinguished Member, IEEE AI’s 10 to Watch, and SDM/IBM faculty award. She was a general co-chair of SIGKDD 2023 and current PC co-chair of ICLR 2024 and SIGKDD 2025.
