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Chengyue Wang


PhD Student



State Key Laboratory of Internet of Things for Smart City

University of Macau

Email: chengyue.wang at connect.um.edu.mo

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Short Bio

I am currently a Ph.D. student at State Key Laboratory of Internet of Things for Smart City (SKL-IOTSC), University of Macau, advised by Prof. Zhenning Li. Previously, I received my Bachelor's degree from Chang'an University and my Master's degree from the University of Illinois Urbana-Champaign (UIUC). Before joining UM, I was also fortunate to be mentored by Prof. Ruimin Ke and Prof. Ruey (Kelvin) Cheu.

My research broadly centers on AI for Transportation, with a particular emphasis on autonomous driving and transportation safety. On these topics, I have published over 20 papers in top-tier journals such as IEEE TPAMI, IEEE TITS, as well as at leading AI conferences such as ICCV, AAAI, with several selected for oral presentations.

We are looking for self-motivated RAs to join our HUMAN LAB!

Selected Publications

WAKE: Towards Robust and Physically Feasible Trajectory Prediction for Autonomous Vehicles with WAvelet and KinEmatics Synergy
Chengyue Wang, Haicheng Liao, Zhenning Li, Chengzhong Xu
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2025


NEST: A Neuromodulated Small-world Hypergraph Trajectory Prediction Model for Autonomous Driving
Chengyue Wang, Haicheng Liao, Bonan Wang, Yanchen Guan, Bin Rao, Ziyuan Pu, Zhiyong Cui, Chengzhong Xu, Zhenning Li
AAAI Conference on Artificial Intelligence (AAAI), 2025 Oral (600/12957 = 4.6%)


DEMO: A Dynamics-Enhanced Learning Model for Multi-Horizon Trajectory Prediction in Autonomous Vehicles
Chengyue Wang, Haicheng Liao, Kaiqun Zhu, Guohui Zhang, Zhenning Li
Information Fusion, 2025


Minds on the Move: Decoding Trajectory Prediction in Autonomous Driving with Cognitive Insights
Haicheng Liao, Chengyue Wang (Co-first Author), Kaiqun Zhu, Yilong Ren, Bolin Gao, Shengbo Eben Li, Chengzhong Xu, Zhenning Li
IEEE Transactions on Intelligent Transportation Systems (TITS), 2025


When, Where, and What? A Novel Benchmark for Accident Anticipation and Localization with Large Language Models
Haicheng Liao, Yongkang Li, Chengyue Wang, Yanchen Guan, KaHou Tam, Chunlin Tian, Li Li, Chengzhong Xu, Zhenning Li
ACM International Conference on Multimedia (MM), 2024 Oral (174/4385 = 3.9%)


Efficient and robust estimation of single-vehicle crash severity: A mixed logit model with heterogeneity in means and variances
Zhenning Li, Chengyue Wang (Co-first Author), Haicheng Liao, Guofa Li, Chengzhong Xu
Accident Analysis & Prevention (AAP), 2024


Physics-Informed Trajectory Prediction for Autonomous Driving under Missing Observation
Haicheng Liao, Chengyue Wang (Co-first Author), Zhenning Li, Yongkang Li, Bonan Wang, Guofa Li, Chengzhong Xu
International Joint Conference on Artificial Intelligence (IJCAI), 2024