Shangtong Zhang
About
Shangtong Zhang is an Alf Weaver Assistant Professor in the Department of Computer Science at the University of Virginia, directing the Sequential Intelligence Lab (SIL). His research focuses on both theoretical and empirical aspects of reinforcement learning, resulting in multiple scholarly articles in major AI venues, e.g., JMLR, NeurIPS, ICML, and ICLR. He also regularly serves as Area Chair in major AI venues, e.g., NeurIPS, ICML, ICLR, Senior Area Chair in RL Conference, and panelists for major federal funding agencies, e.g., NSF. He and his research are recognized by multiple awards and honors, including best paper awards at ICML workshop and AAMAS, NSF CAREER Award, AAAI New Faculty Highlights, Rising Star in AI, and IFAAMAS Victor Lesser Dissertation Award. He obtained his DPhil at the University of Oxford, MSc at the University of Alberta, and BSc at Fudan University.
Research Performance Summary
First Recorded Paper
A deep neural network for modeling music
Year: 2015
Citations: 31
Venue: Proceedings of the 5th ACM on International Conference on Multimedia
Latest Recorded Paper
Multi-agent DRL-based Lane Change Decision Model for Cooperative Planning in Mixed Traffic
Year: 2026
Citations: 0
Venue: arXiv preprint arXiv:2601.11809
Last 10 Years Publication Activity
This timeline shows the professor's yearly publication activity.