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. I was also a research intern at Qualcomm and Honda Research Institute (HRI) before.

My current research interest focuses on End-to-End Autonomous Driving, Cooperative Driving, and World Modeling.

News

Oct 01, 2025 Check out our research activities at ICCV 2025 in Hawaii: (1) present two main conference papers, V2XPnP and TurboTrain; (2) co-organize Tutorial on Beyond Self-Driving: Exploring Three Levels of Driving Automation.
Aug 15, 2025 Invited talk on Towards Efficient and Scalable Multi-Agent Autonomous Driving Systems at Qualcomm PhD Lecture Series.
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.
Jun 12, 2025 Oral presentation on CooPre: Cooperative Pretraining for V2X Cooperative Perception 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 10, 2025 Invited talk on UCLA Smart Intersection for Vehicle-to-Everything Application at 1st UCLA-UCB Joint Workshop: Towards Next Generation of Open-Source Simulator for Embodied AI and Autonomous Driving.
Feb 01, 2025 Paper on Towards Autonomous Micromobility through Scalable Urban Simulation has been accepted by CVPR 2025 (Highlight).
Jan 01, 2025 Our team of UCLA Mobility Lab 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. Preprint
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    QuantV2X: A Fully Quantized Multi-Agent System for Cooperative Perception
    Seth Z. Zhao*, Huizhi Zhang*, Zhaowei Li, Juntong Peng, Anthony Chui, Zewei Zhou, Zonglin Meng, Hao Xiang, Zhiyu Huang, Fujia Wang, Ran Tian, Chenfeng Xu, Bolei Zhou, and Jiaqi Ma
    2025
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  2. 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
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  3. 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
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  4. 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
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