I am constantly looking for self-motivated RAs to start and build our team together!
My current research interests include motion planning, trajectory prediction, car-following model, lane-change model, and intelligent transportation systems.
The paper "Are State-of-the-Art Deep Learning Traffic Prediction Models Truly Effective?" is accepted by and will be presented at TRB 2025. See you in DC!
The paper "Scenario-driven Algorithm Selection for Transportation Planning Problem" is presented at the 33rd European Conference on Operational Research.
The paper "The Fragile Nature of Road Transportation Systems" is accepted by hEART 2024 and presented with poster.
The paper "A time-varying shockwave speed model for reconstructing trajectories on freeways using Lagrangian and Eulerian observations" is published in the journal Expert Systems With Applications.
Before joining CityU-DG, I was a Postdoc Research Fellow at the Institute for Transport Planning and Systems of ETH Zürich. My major research interests lie in autonomous driving, motion planning, car-following model, lane-change model, and intelligent transportation systems. I completed my doctoral degree under the supervision of Prof. Jianping Wang at City University of Hong Kong in Summer 2022. My doctoral thesis focuses on Human Driving Behavior Modeling and Applications in Autonomous Driving.
I obtained my M.Eng. degree and B.Sc. degree from ENSIIE, France (2014-2017) and Xidian University, China (2011-2015), respectively.
Reviewer of Transportation Research Part C, IEEE Transactions on Intelligent Vehicles, IEEE Transactions on Intelligent Transportation Systems, IEEE Transactions on Parallel and Distributed Systems, Journal of Advanced Transportation, IROS 2024, TRB 2024, etc.
ICRMS 2022 Session Chair
NSL Newletter "Drive Forward: Revolutionizing Traffic with Advanced Vehicle Trajectory Reconstruction".
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