- Paper on 'Driving with Regulation: Trustworthy and Interpretable Decision-Making for Autonomous Driving with Retrieval-Augmented Reasoning' accepted by AAAI 2026 (Special Track AI for Social Impact)
- Paper on 'AutoVLA: A Vision-Language-Action Model for End-to-End Autonomous Driving with Adaptive Reasoning and Reinforcement Fine-Tuning' accepted by NeurIPS 2025
- Presented multiple papers at ICCV 2025, including 'V2XPnP' and 'TurboTrain'
- Paper on 'CooPre: Cooperative Pretraining for V2X Cooperative Perception' accepted by IROS 2025 as oral presentation, awarded Best Paper Award at CVPR 2025 DriveX Workshop
- Paper on 'WOMD-Reasoning: A Large-Scale Dataset for Interaction Reasoning in Driving' accepted by ICML 2025
- Paper on 'Towards Autonomous Micromobility through Scalable Urban Simulation' accepted by CVPR 2025 (Highlight)
- Paper on 'Pre-training on Synthetic Driving Data for Trajectory Prediction' accepted by IROS 2024
Awards:
- UCLA Mobility Lab secured the Tier 1 in the U.S.DOT Intersection Safety Challenge with a $750k award!
Research Experience
Research intern at Qualcomm and Honda Research Institute (HRI); currently a second-year Ph.D. student in Computer Science at UCLA.
Education
Ph.D. in Computer Science at UCLA, advised by Professor Bolei Zhou and Professor Jiaqi Ma; M.S. and B.A. in Computer Science at UC Berkeley, worked with Professor Masayoshi Tomizuka, Professor Allen Yang, and Professor Constance Chang-Hasnain.
Background
Research interests: End-to-End Autonomous Driving, Cooperative Driving, and World Modeling.