Biography

Professor Jiayang Li is an Assistant Professor in the Department of Data and Systems Engineering at The University of Hong Kong. Prof. Li earned his Ph.D. in transportation systems analysis from Northwestern University in 2024. Before that, he obtained his B.S. in mathematics from Tsinghua University in 2019. Prof. Li's research aims to bring together optimization, game theory, and machine learning to address operations research challenges, particularly within transportation and mobility systems. His work has been published across diverse fields, including premier transportation journals (Transportation Science and Transportation Research Part B) as well as leading machine learning conferences (NeurIPS and ICML).

Personal website: https://jiayangli-nu.github.io/

Research Topics

• Algorithmic Game Theory
• Bilevel Optimization
• Machine Learning
• Transportation Economics
• Transportation Systems Optimization

Opportunities for Research

Prof. Jiayang Li is looking for Ph.D. students and postdoctoral researchers to join his lab starting in Fall 2025. Prospective candidates are encouraged to contact Prof. Li directly via email at jiayangl@hku.hk. For more detailed information about the positions, please visit Prof. Li's personal website: https://jiayangli-nu.github.io/opening/.

Selected Publications

• J. Li, Z. Wang, & Y.M. Nie (2024). Wardrop Equilibrium Can Be Boundedly Rational: A New Behavioral Theory of Route Choice. Transportation Science (TS)
• J. Li, Q. Wang, L. Feng, J. Xie, & Y.M. Nie (2024). A Day-to-Day Dynamical Approach to the Most Likely User Equilibrium Route Flow Problem. Transportation Science (TS)
• J. Li, J. Yu, B. Liu, Q. Wang, Z. Wang, & Y.M. Nie (2024). Differentiable Bilevel Programming for Stackelberg Congestion Games. Under Revision at Operations Research (OR)
• T. Dai*, J. Li*, & Y.M. Nie (2023). Accessibility-Based Ethics-Aware Transit Design. Transportation Research Part B (TR-B, * denotes equal contribution)
• J. Li, J. Yu, B. Liu, Z. Wang, & Y.M. Nie (2023). Achieving Hierarchy-Free Approximation for Bilevel Programs with Equilibrium Constraints. In Proceedings of the 40th International Conference on Machine Learning (ICML 2023)
• B. Liu*, J. Li*, Z. Yang, H.T. Wai, M. Hong, Y.M. Nie, & Z. Wang (2022). Inducing Equilibria via Incentives: Simultaneous Design-and-Play Ensures Global Convergence. Advances in Neural Information Processing Systems 35 (NeurIPS 2022, * denotes equal contribution)
• J. Li, J. Yu, Y.M. Nie, & Z. Wang (2020). End-to-End Learning and Intervention in Games. Advances in Neural Information Processing Systems 33 (NeurIPS 2020)
• Full research profile: https://jiayangli-nu.github.io/publications/