HKU IDS Scholar
Professor Li is an Assistant Professor in HKU Musketeers Foundation Institute of Data Science and Research Scientist at OpenDriveLab, Shanghai AI Lab. His research focus is on autonomous driving and embodied AI. He led the end-to-end autonomous driving project, UniAD and won the IEEE CVPR 2023 Best Paper Award. UniAD has a large impact both in academia and industry, including the recent rollout to customers by Tesla in FSD V12. He proposed the bird’s-eye-view perception work, BEVFormer, that won Top 100 AI Papers in 2022 and was explicitly recognized by Jensen Huang, CEO of NVIDIA and Prof. Shashua, CEO of Mobileye at public keynotes. He served as Area Chair for CVPR 2023, 2024, NeurIPS 2023 (Notable AC), 2024, ACM MM 2024, ICLR 2025, referee for Nature Communications. He will serve as Workshop Chair for CVPR 2026. He is the Working Group Chair for IEEE Standards under Vehicular Technology Society and Senior Member of IEEE.
Building AGI in Embodied AI via foundation models, data pyramid and world engine. Towards a better end-to-end automated system. For more up-to-date status, please see https://opendrivelab.com
- Planning-Oriented Autonomous Driving, IEEE/CVF Computer Vision and Pattern Recognition (CVPR) 2023, Best Paper Award
- DriveLM: Driving with Graph Visual Question Answering, European Conference on Computer Vision (ECCV) 2024, Oral Paper
- BEVFormer: Learning Bird’s-Eye-View Representation From LiDAR-Camera Via Spatiotemporal Transformers, IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI) 2024, Most Influential ECCV Top Papers in 2022
- Learning Manipulation by Predicting Interaction, Robotics: Science and Systems (RSS) 2024
- Closed-Loop Visuomotor Control with Generative Expectation for Robotic Manipulation, Neural Information Processing Systems (NeurIPS) 2024