Xi Xiong
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Xi Xiong, Ph.D. Research Professor 4800 Caoan Road, Tongda Hall, Rm 303 [CV] [Google Scholar] [ResearchGate] [LinkedIn] |
About Me
I am currently a Research Professor of Transportation Engineering at Tongji University. Before 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
(Jun 18, 2025) We will present at the IFAC Workshop on Control of Systems Governed by Partial Differential Equations (CPDE 2025) in Beijing, China. Our presentation is titled “Dyna-Style Learning with a Macroscopic Model for Vehicle Platooning in Mixed-Autonomy Traffic.”
(Apr 22, 2025) I will attend 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. Our talk was titled “Reinforcement Learning from Human Feedback for Lane Changing of Autonomous Vehicles in Mixed Traffic.”
(Sep 24, 2024) We presented at IEEE ITSC 2024 in Edmonton, Canada. Our presentation was 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” was accepted for publication in IEEE Transactions on Intelligent Transportation Systems.
(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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