Quanyi Li

I am an incoming PhD student at CLeAR Lab in NUS. Prior to that, I was a Senior Applied Scientist at oxa working on end-to-end planning and agent simulation. I received my master degree from University of Edinburgh in 2023, and bachelor degree from Beijing University of Posts and Telecommunications (BUPT) in 2020.

I am broadly interested in data-driven control and its applications in both simulated and real-world.

Selected Publications

  1. IJCAI
    Task Reconstruction and Extrapolation for π0 using Text Latent
    Quanyi Li
    In International Joint Conference on Artificial Intelligence (IJCAI) , 2026
    PDF Code
  2. CoRL
    Learning h-infinity locomotion control
    Junfeng Long*, Wenye Yu*, Quanyi Li* , Zirui Wang, Dahua Lin, Jiangmiao Pang
    In Conference on Robot Learning (CoRL) , 2024
    PDF Code Website
  3. 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
    PDF Code Video Website gallery
  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
    PDF Code Video Website
  5. 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
    PDF Code Video Website
  6. 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
    PDF Code Video Website
  7. 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
    PDF Code Talk Website
  8. 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
    PDF Code Talk Website
  9. 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
    PDF Code Poster Website

Services

Conference Reviewer: ICML, NeurIPS, ICLR, CVPR, ICCV, CoRL, RSS.