Xi Xiong

Bio Picture 

Xi Xiong, Ph.D.

Research Professor
College of Transportation Engineering
Tongji University

4800 Caoan Road, Tongda Hall, Rm 303
Jiading, Shanghai 201804, China
Email: xi_xiong at tongji dot edu dot cn

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About Me

I am a Research Professor in Transportation Engineering at Tongji University and a Visiting Researcher in the Department of Engineering Science at the University of Oxford, hosted by Prof. Jakob Foerster. Previously, I am a Postdoctoral Fellow at the Harvard Kennedy School. I receive a Ph.D. in Transportation Engineering from New York University, an M.Sc. from Tsinghua University, and a B.Sc. from Jilin University.

Research Interests

  • Intelligent Systems

  • Reinforcement Learning

  • Generative AI

  • Dynamic programming

  • Optimal Control

  • Network Optimization

What's New

  • (Mar 8, 2026) Our paper “iLLM-TSC: Integration Reinforcement Learning and Large Language Model for Traffic Signal Control Policy Improvement” receives acceptance from IEEE Transactions on Vehicular Technology. arXiv

  • (Dec 8, 2025) I give a talk at the Stanford Intelligent Systems Laboratory, hosted by Prof. Mykel Kochenderfer, titled “Optimizing Mixed-Autonomy Traffic with Reinforcement Learning and Large Language Models.”

  • (Nov 18, 2025) We present two papers at IEEE ITSC 2025 in Gold Coast, Australia:
    “Multi-Armed Bandit for Stochastic Shortest Path in Mixed Autonomy.” arXiv
    “A Large Language Model-Enhanced Q-learning for Capacitated Vehicle Routing Problem with Time Windows.” arXiv

  • (Sep 1, 2025) We welcome Jiazhuo Li, who joins our lab as a master’s student.

  • (Jun 18, 2025) We present at the IFAC Workshop on Control of Systems Governed by Partial Differential Equations (CPDE 2025) in Beijing, China: “Dyna-Style Learning with a Macroscopic Model for Vehicle Platooning in Mixed-Autonomy Traffic.” link

  • (May 18, 2025) I begin my academic visit at the University of Oxford, hosted by Prof. Jakob Foerster in the Department of Engineering Science.

  • (Apr 22, 2025) I attend the 13th International Conference on Learning Representations (ICLR 2025) in Singapore.

  • (Jan 5, 2025) We present at the 104th TRB Annual Meeting in Washington, DC: “Reinforcement Learning from Human Feedback for Lane Changing of Autonomous Vehicles in Mixed Traffic.” arXiv

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