π I am a PhD student in the UCLA Mobility Lab of the University of California, Los Angeles (UCLA), advised by Prof. Jiaqi Ma. I received my masterβs degree from Tongji University with the honor of Shanghai Outstanding Graduate, and conducted research at the Institute of Intelligent Vehicles (TJU-IIV) directed by Prof. Yanjun Huang and Prof. Zhuoping Yu.
My research focuses on the scene understanding and reasoning of autonomous systems, which enables vehicles/robots to intelligently interact and cooperate with others.
π₯ News
- 2025.01: Β π Our team secured the Tier 1 in the U.S.DOT Intersection Safety Challenge with a $750k award!
- 2024.12: Β π Our V2XPnP paper on cooperative perception and prediction has been released. Enjoy it!
- 2024.09: Β π€ Our three papers have been submitted to ICRA 2025. Fingers crossed!
- 2024.08: Β π Our survey paper on trajectory prediction has been awarded as Best Paper Award for Outstanding Survey of IEEE T-IV!
- 2024.07: Β π Our V2X-Real paper on multi-agents and multi-modal cooperative perception has been accepted by ECCV 2024.
- 2023.06: Β π Shanghai Outstanding Graduate Honor!
- 2022.03: Β π Our paper on speed prediction in transportation systems has been accepted by iScience (Cell Press)οΌ
- 2021.12: Β π€ Our multiple automated guided vehicles (AGVs) passed through field testing and could coordinate movements with each other, providing a valet experience.
π Publications
V2XPnP: Vehicle-to-Everything Spatio-Temporal Fusion for Multi-Agent Perception and Prediction
Zewei Zhou, Hao Xiang, Zhaoliang Zheng, Seth Z Zhao, Mingyue Lei, Yun Zhang, Tianhui Cai, Xinyi Liu, Johnson Liu, Maheswari Bajji, Jacob Pham, Xin Xia, Zhiyu Huang, Bolei Zhou, Jiaqi Ma
V2XPnP includes the first open-source V2X spatio-temporal fusion framework for cooperative perception and prediction and the first real-world V2X sequential dataset featuring all V2X collaboration modes (VC, IC, V2V, I2I).
arXiv, 2024 | 
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V2X-Real: a Large-Scale Dataset for Vehicle-to-Everything Cooperative Perception
Hao Xiang, Zhaoliang Zheng, Xin Xia, Runsheng Xu, Letian Gao, Zewei Zhou, Xu Han, Xinkai Ji, Mingxi Li, Zonglin Meng, Jin Li, Mingyue Lei, Zhaoyang Ma, Zihang He, Haoxuan Ma, Yunshuang Yuan, Yingqian Zhao, Jiaqi Ma
V2X-Real is the first large-scale, real-world, multi-modal dataset for Vehicle-to-Everything (V2X) perception.
ECCV, 2024 | | |
A Comprehensive Study of Speed Prediction in Transportation System: From Vehicle to Traffic
Zewei Zhou, Ziru Yang, Yuanjian Zhang, Yanjun Huang, Hong Chen, Zhuoping Yu
A complete picture of speed prediction and comprehensive analysis on speed prediction in transportation system at three levels, i.e. macro traffic, micro vehicles, and meso lane.
iScience (Cell Press), 2022 |
A Survey on Trajectory-Prediction Methods for Autonomous Driving
Yanjun Huang, Jiatong Du, Ziru Yang, Zewei Zhou, Lin Zhang, Hong Chen
A comparative review and analysis of trajectory-prediction methods for autonomous driving and elaborate the popular methods based on physics, classic machine learning, deep learning, and reinforcement learning.
IEEE Transactions on Intelligent Vehicles, 2022 |
Best Paper Award for Outstanding Survey
π¬ Project
Automated Parking System with Automated Guided Vehicles (AGV)
Institute of Intelligent Vehicles, Tongji University, 2020.10 - 2021.12
Student Researcher
Design an A*-based global motion planner for the given park and propose a cooperative planning and control framework for the four AGVs groups to coordinate their movement and guide them to move a bus to its destination.
The system is tested in a real AGVs platform and can provide a valet experience.
π Educations
- 2023.09 - Now, Ph.D., Transportation Engineering,
University of California, Los Angeles (UCLA), U.S. - 2020.09 - 2023.06, M.S., Automotive Engineering,
Tongji University (Tongji), Shanghai, China (Test Waiver Admission) - 2016.09 - 2020.06, B.Eng., Automotive Engineering,
Chongqing University (CQU), Chongqing, China (Outstanding Graduate,Top 1%)
π Honors and Awards
- 2025.01 Β Tier 1 Winner of U.S. DOT Intersection Safety Challenge with a $750k award
- 2024.08 Β Best Paper Award for Outstanding Survey of IEEE T-IV
- 2023.06 Β Shanghai Outstanding Graduate (Top 1%)
- 2022.11 Β Weichai Scholarship (Top 2%)
- 2021.09 Β Tongji Outstanding Masterβs Scholarship
- 2019.09 Β Gratitude to Scientists Scholarship (Highest scholarship in CQU, Top 0.2%)
- 2018.09 Β National Scholarship, China (Top 1%)
- 2018-2019 Β CQU First-class Scholarship (Four times, Top 2 %)
π Academic Services
Workshop Organizer:
- Organizer of DriveX Workshop on Foundation Models for V2X-Based Cooperative Autonomous Driving in CVPR 2025.
Conference Reviewer:
- IEEE / CVF Computer Vision and Pattern Recognition | CVPR 2025
- IEEE International Conference on Robotics and Automation | ICRA 2025
- IEEE Intelligent Vehicles Symposium | IV 2024
- IEEE Intelligent Transportation Systems Conference | ITSC 2023-2024
Journal Reviewer:
- IEEE Transactions on Intelligent Transportation Systems | T-ITS
- IEEE Transactions on Intelligent Vehicles | T-IV
- IEEE Open Journal of Intelligent Transportation Systems | OJ-ITS
π Miscellaneous
- I am a big fan of guitar, especially Fingerstyle. My favorite acoustic guitarist is Satoshi Gogo. I also enjoy playing ping pong and badminton.
- I enjoy graphic design, and designed the logo for the Joint Lab SFVGL of Tongji University and University of Cambridge.