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)**

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
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

PDF ( Spotlight )
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

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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
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

PDF Code Website ( Spotlight )
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
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
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
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
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
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

PDF Poster
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

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