Seth Z. Zhao

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I am a second-year Computer Science PhD student at UCLA, advised by Professor Bolei Zhou and Professor Jiaqi Ma.

Previously, I received my M.S. and B.A. in Computer Science at UC Berkeley where I was fortunate to work with Professor Masayoshi Tomizuka, Professor Allen Yang, and Professor Constance Chang-Hasnain.

My research interest focuses on Cooperative Intelligence, Transportation and Mobility, and Autonomous Driving.

news

Jun 26, 2025 Two papers have been accepted by ICCV 2025! Check out V2XPnP: Vehicle-to-Everything Spatio-Temporal Fusion for Multi-Agent Perception and Prediction and TurboTrain: Towards Efficient and Balanced Multi-Task Learning for Multi-Agent Perception and Prediction.
Jun 16, 2025 Paper on CooPre: Cooperative Pretraining for V2X Cooperative Perception has been accepted by IROS 2025 as oral presentation. This paper has been awarded with Best Paper Award at the CVPR 2025 DriveX Workshop.
May 01, 2025 Paper on WOMD-Reasoning: A Large-Scale Dataset for Interaction Reasoning in Driving has been accepted by ICML 2025.
Feb 01, 2025 Paper on Scalable Urban Simulator has been accepted by CVPR 2025 (Highlight).
Jan 01, 2025 Our team secured the Tier 1 in the U.S.DOT Intersection Safety Challenge with a $750k award!
Jul 01, 2024 Paper on Pre-training on Synthetic Driving Data for Trajectory Prediction has been accepted by IROS 2024.

Selected Publications

  1. ICCV 2025
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    TurboTrain: Towards Efficient and Balanced Multi-Task Learning for Multi-Agent Perception and Prediction
    Zewei Zhou*, Seth Z. Zhao*, Tianhui Cai, Zhiyu Huang, Bolei Zhou, and Jiaqi Ma
    In ICCV, 2025
  2. IROS 2025 Oral
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    CooPre: Cooperative Pretraining for V2X Cooperative Perception
    Seth Z. Zhao, Hao Xiang, Chenfeng Xu, Xin Xia, Bolei Zhou, and Jiaqi Ma
    In IROS Oral, 2025
  3. IROS 2024
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    Pre-training on Synthetic Driving Data for Trajectory Prediction
    Yiheng Li*, Seth Z. Zhao*, Chenfeng Xu, Chen Tang, Chenran Li, Mingyu Ding, Masayoshi Tomizuka, and Wei Zhan
    In IROS, 2024