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.

Research

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.

News

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
    PDF Code Video Website
  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
    PDF
  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
    PDF Code Video Website
  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
    PDF Code Video Website
  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
    PDF Code Talk Website
  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
    PDF Code Talk Website
  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
    PDF Code Poster Website
  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
    PDF Poster
  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
    PDF

Services

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