Quanyi Li

I work at oxa as Senior Applied Scientist for scenario expansion. Before this, I received my master degree from University of Edinburgh in 2023 and my bachelor degree from Bejing 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.

News

Feb, 2024	I am so glad that Junfeng and Chen Xiao got their first paper accepted. cheers!
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!

Publications **(* indicates joint first author)**

CVPR

GenNBV: Generalizable Next-Best-View Policy for Active 3D Reconstruction

Xiao Chen, Quanyi Li , Tai Wang, Tianfan Xue, Jiangmiao Pang

In Conference on Computer Vision and Pattern Recognition (CVPR) , 2024

PDF Video Website
ICLR

Hybrid Internal Model: A Simple and Efficient Learner for Agile Legged Locomotion

Junfeng* Long, Zirui* Wang, Quanyi Li , Jiawei Gao, Liu Cao, Jiangmiao Pang

In International Conference on Learning Representations (ICLR) , 2024

PDF Code Website
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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