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 currently a Research Professor of Transportation Engineering at Tongji University. I am also a Visiting Researcher in the Department of Engineering Science at the University of Oxford. Prior to joining Tongji, I was a Postdoctoral Fellow at the Harvard Kennedy School. I hold a Ph.D. in Transportation Engineering from New York University, an M.Sc. from Tsinghua University, and a B.Sc. from Jilin University. My research focuses on the intersection of control, optimization, and machine learning for societal systems transformation.

What's New

  • (Nov 18, 2025) We will 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) Welcome to Jiazhuo Li, who joined our lab as a master’s student!

  • (Jun 18, 2025) We presented 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.” arXiv

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

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

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

  • (Sep 24, 2024) We presented at IEEE ITSC 2024 in Edmonton, Canada: “A Multi-Agent Rollout Approach for Highway Bottleneck Decongestion in Mixed Autonomy.” link

  • (Sep 2, 2024) Our paper “Traffic Signal Cycle Control with Centralized Critic and Decentralized Actors under Varying Intervention Frequencies” was accepted for publication in IEEE Transactions on Intelligent Transportation Systems. link

  • (Sep 1, 2024) Welcome to Linjiang Cao, who joined our lab as a master’s student!

  • (Jul 15, 2024) I attended the 6th Annual Learning for Dynamics and Control Conference (L4DC 2024) at the University of Oxford.

  • (Jun 3, 2024) Our paper “An Approximate Dynamic Programming Approach to Vehicle Platooning Coordination in Networks” was accepted by IEEE Transactions on Intelligent Transportation Systems. link

  • (May 18, 2024) Our paper “UniTSA: A Universal Reinforcement Learning Framework for V2X Traffic Signal Control” was accepted by IEEE Transactions on Vehicular Technology. link

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