Quanyi Li

I am an MRes student at IPAB, University of Edinburgh, advised by Prof. Ram Ramamoorthy. Previously, I was a research assistant at Multimedia Lab (MMLab), The Chinese University of Hong Kong, working with Prof. Bolei Zhou. I received my bachelor degree at Bejing University of Posts and Telecommunications under the supervision of Prof. Haipeng Yao in July 2020.

When I was a senior student, I did an internship at SenseTime and worked with Dr. Chunxiao Liu on autonomous driving. Now I am working with Dr. Jiangmiao Pang at Shanghai AI Lab.


I am interested in Embodied AI with its generalizability, safety, interpretability and interactivity. I have rich experience on building learning-based/data-driven controllers for autonomous vehicles, legged robots and drones.


Jan, 2023 TrafficGen and TS2C are accepted to ICRA and ICLR respectively!
Sep, 2022 Policy Dissection is to appear in NeurIPS22 :blush:
Mar, 2022 I am so happy that MetaDrive is finally accepted to TPAMI :sob:.

Publications (* indicates joint first author)

  1. ICRA
    TrafficGen: Learning to Generate Diverse and Realistic Traffic Scenarios
    Lan Feng*, Quanyi Li* , Zhenghao Peng*, Shuhan Tan, and Bolei Zhou
    In International Conference on Robotics and Automation (ICRA) , 2023
  2. ICLR
    Guarded Policy Optimization with Imperfect Online Demonstrations
    Zhenghai Xue, Zhenghao Peng, Quanyi Li , Zhihan Liu, and Bolei Zhou
    In International Conference on Learning Representations (ICLR) , 2023
  3. NeurIPS
    Human-AI Shared Control via Frequency-based Policy Dissection
    Quanyi Li , Zhenghao Peng, Haibin Wu, Lan Feng, and Bolei Zhou
    In Neural Information Processing Systems (NeurIPS) , 2022
  4. TPAMI
    MetaDrive: Composing Diverse Driving Scenarios for Generalizable Learning
    Quanyi Li* , Zhenghao Peng*, Lan Feng, Qihang Zhang, Zhenghai Xue, and Bolei Zhou
    In IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) , 2022
  5. ICLR
    Efficient Learning of Safe Driving Policy via Human-AI Copilot Optimization
    Quanyi Li* , Zhenghao Peng*, and Bolei Zhou
    In International Conference on Learning Representations (ICLR) , 2022
  6. NeurIPS
    Learning to Simulate Self-driven Particles System with Coordinated Policy Optimization
    Zhenghao Peng, Quanyi Li , Chunxiao Liu, and Bolei Zhou
    In Advances in Neural Information Processing Systems (NeurIPS) , 2021
  7. CoRL
    Safe Driving via Expert Guided Policy Optimization
    Zhenghao Peng*, Quanyi Li* , Chunxiao Liu, and Bolei Zhou
    In 5th Annual Conference on Robot Learning (CoRL) , 2021
  8. CVPR workshop
    Improving the Generalization of End-to-End Driving through Procedural Generation
    Quanyi Li* , Zhenghao Peng*, Qihang Zhang, Chunxiao Liu, and Bolei Zhou
    In CVPR embodied AI workshop (CVPR workshop) , 2021
  9. IoTJ
    Reinforcement-learning-and belief-learning-based double auction mechanism for edge computing resource allocation
    Quanyi Li , Haipeng Yao, Tianle Mai, Chunxiao Jiang, and Yan Zhang
    IEEE Internet of Things Journal (IoTJ) , 2019


Conference Reviewer: ICML 2022, NeurIPS 2022, CoRL 2022, ICRA 2023, ICML 2023