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 in July 2020.

When I was a senior student, I did an internship at SenseTime, working with Dr. Chunxiao Liu. Now I do part-time collaboration with Dr. Jiangmiao Pang at Shanghai AI Lab.


News

Sep, 2023 Got 3 papers accepted to NeurIPS and CoRL! Many thanks to my collaborators.
Jul, 2023 We released ScenarioNet for simulating large-scale traffic scenarios. Browse scenario gallery here!
Jan, 2023 TrafficGen and TS2C are accepted to ICRA and ICLR respectively!

Publications (* indicates joint first author)

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

Services

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