Li Chen

(陈立)

Intro

I am currently pursuing a PhD at the University of Hong Kong (HKU), while also conducting research at OpenDriveLab. I work under the supervision of Prof. Ping LUO and Prof. Hongyang LI. I earned my Master's in Robotics from the Robotics Institute at the University of Michigan, Ann Arbor, in 2020, after a Bachelor's degree in Mechanical Engineering from Shanghai Jiao Tong University in 2019.

My research interests primarily focus on robotics, encompassing areas such as autonomous driving, robot learning, and robotic systems. Representative projects are highlighted below.

Research

(*: Equal contribution. †: Project lead.)

Selected Publications (See all here.)

End-to-end Autonomous Driving: Challenges and Frontiers
Li Chen, Penghao Wu, Kashyap Chitta, Bernhard Jaeger, Andreas Geiger, Hongyang Li.
IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 2024
[page] [paper]

Closed-Loop Visuomotor Control with Generative Expectation for Robotic Manipulation
Qingwen Bu*, Jia Zeng*, Li Chen*, Yanchao Yang, Guyue Zhou, Junchi Yan, Ping Luo, Heming Cui, Yi Ma, Hongyang Li.
Advances in Neural Information Processing Systems (NeurIPS), 2024
[paper] [code]

Visual Point Cloud Forecasting enables Scalable Autonomous Driving
Zetong Yang, Li Chen, Yanan Sun, Hongyang Li.
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024
Highlight (11.9%)
[paper] [code]

Generalized Predictive Model for Autonomous Driving
Jiazhi Yang*, Shenyuan Gao*, Yihang Qiu*, Li Chen, Tianyu Li, Bo Dai, Kashyap Chitta, Penghao Wu, Jia Zeng, Ping Luo, Jun Zhang, Andreas Geiger, Yu Qiao, Hongyang Li.
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024
Highlight (11.9%)
[paper] [dataset]

Plannning-oriented Autonomous Driving
Yihan Hu*, Jiazhi Yang*, Li Chen*, Keyu Li*, Chonghao Sima, Xizhou Zhu, Siqi Chai, Senyao Du, Tianwei Lin, Wenhai Wang, Lewei Lu, Xiaosong Jia, Qiang Liu, Jifeng Dai, Yu Qiao, Hongyang Li.
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023
Best Paper (2/9155)
[paper] [code]

Policy Pre-training for Autonomous Driving via Self-supervised Geometric Modeling
Penghao Wu, Li Chen, Hongyang Li, Xiaosong Jia, Junchi Yan, Yu Qiao.
International Conference on Learning Representations (ICLR), 2023
[paper] [code]

Trajectory-guided Control Prediction for End-to-end Autonomous Driving: A Simple yet Strong Baseline
Penghao Wu*, Xiaosong Jia*, Li Chen*, Junchi Yan, Hongyang Li, Yu Qiao.
Advances in Neural Information Processing Systems (NeurIPS), 2022
[paper] [code]

ST-P3: End-to-End Vision-Based Autonomous Driving via Spatial-Temporal Feature Learning
Shengchao Hu, Li Chen, Penghao Wu, Hongyang Li, Junchi Yan, Dacheng Tao.
European Conference on Computer Vision (ECCV), 2022
[paper] [code]

PersFormer: 3D Lane Detection via Perspective Transformer and the OpenLane Benchmark
Li Chen*, Chonghao Sima*, Yang Li*, Zehan Zheng, Jiajie Xu, Xiangwei Geng, Hongyang Li, Conghui He, Jianping Shi, Yu Qiao, Junchi Yan.
European Conference on Computer Vision (ECCV), 2022
Oral Presentation (2.7%)
[paper] [code] [dataset]

Preprint

Graph-based Topology Reasoning for Driving Scenes
Tianyu Li*, Li Chen*, Huijie Wang, Yang Li, Jiazhi Yang, Xiangwei Geng, Shengyin Jiang, Yuting Wang, Hang Xu, Chunjing Xu, Junchi Yan, Ping Luo, Hongyang Li.
arXiv preprint, 2023
[paper] [code] [dataset]

Level 2 Autonomous Driving on a Single Device: Diving into the Devils of Openpilot
Li Chen*, Tutian Tang*, Zhitian Cai*, Yang Li*, Penghao Wu, Hongyang Li, Jianping Shi, Junchi Yan, Yu Qiao.
Tech report, 2022
[page] [paper] [code]

Activity

Honors

  • Outstanding/Top Reviewer: CVPR'23, NeurIPS'23
  • The World Artificial Intelligence Conference (WAIC) Yunfun Award, 2023
  • HKU Presidential PhD Scholar (HKU-PS), 2023
  • Outstanding Graduate of Shanghai, 2019