Xi Xiong

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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. Before joining Tongji, I was a Postdoctoral Visiting 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

  • (January 5, 2025) We are presenting at the 104th TRB Annual Meeting in Washington, DC. Our presentation is titled “Reinforcement Learning from Human Feedback for Lane Changing of Autonomous Vehicles in Mixed Traffic.”

  • (Sep 24, 2024) We are presenting at the IEEE ITSC 2024 in Edmonton, Canada. Our presentation is titled “A Multi-Agent Rollout Approach for Highway Bottleneck Decongestion in Mixed Autonomy.”

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

  • (Sep 1, 2024) Welcome to Linjiang Cao, who joins our lab as a master's student.

  • (Jul 15, 2024) I attended the 6th Annual Learning for Dynamics & 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” has been 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” has been accepted by IEEE Transactions on Vehicular Technology. link

  • (Oct 5, 2023) We presented a poster at the 2023 INFORMS Annual Meeting in Phoenix, Arizona, titled “Coordinated Platooning and Adaptive Routing with Reinforcement Learning.”

  • (Sep 10, 2023) Welcome to Lu Liu, who joins our lab as a PhD student.

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