Zhenghao Peng

According to our database, Zhenghao Peng authored at least 27 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Shared Autonomy with IDA: Interventional Diffusion Assistance.

Brandon McMahan, Zhenghao Peng, Bolei Zhou, Jonathan C. Kao

CoRR, 2024

SimGen: Simulator-conditioned Driving Scene Generation.

Yunsong Zhou, Michael Simon, Zhenghao Peng, Sicheng Mo, Hongzi Zhu, Minyi Guo, Bolei Zhou

CoRR, 2024

SwinTextSpotter v2: Towards Better Synergy for Scene Text Spotting.

Mingxin Huang, Dezhi Peng, Hongliang Li, Zhenghao Peng, Chongyu Liu, Dahua Lin, Yuliang Liu, Xiang Bai, Lianwen Jin

CoRR, 2024

Improving Agent Behaviors with RL Fine-Tuning for Autonomous Driving.

Zhenghao Peng, Wenjie Luo, Yiren Lu, Tianyi Shen, Cole Gulino, Ari Seff, Justin Fu

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

MetaDrive: Composing Diverse Driving Scenarios for Generalizable Reinforcement Learning.

Quanyi Li, Zhenghao Peng, Lan Feng, Qihang Zhang, Zhenghai Xue, Bolei Zhou

IEEE Trans. Pattern Anal. Mach. Intell., March, 2023

Learning from Active Human Involvement through Proxy Value Propagation.

Zhenghao Mark Peng, Wenjie Mo, Chenda Duan, Quanyi Li, Bolei Zhou

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

ScenarioNet: Open-Source Platform for Large-Scale Traffic Scenario Simulation and Modeling.

Quanyi Li, Zhenghao Mark Peng, Lan Feng, Zhizheng Liu, Chenda Duan, Wenjie Mo, Bolei Zhou

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

TrafficGen: Learning to Generate Diverse and Realistic Traffic Scenarios.

Lan Feng, Quanyi Li, Zhenghao Peng, Shuhan Tan, Bolei Zhou

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Guarded Policy Optimization with Imperfect Online Demonstrations.

Zhenghai Xue, Zhenghao Peng, Quanyi Li, Zhihan Liu, Bolei Zhou

Proceedings of the Eleventh International Conference on Learning Representations, 2023

CAT: Closed-loop Adversarial Training for Safe End-to-End Driving.

Linrui Zhang, Zhenghao Peng, Quanyi Li, Bolei Zhou

Proceedings of the Conference on Robot Learning, 2023

2022

Human-AI Shared Control via Frequency-based Policy Dissection.

Quanyi Li, Zhenghao Peng, Haibin Wu, Lan Feng, Bolei Zhou

CoRR, 2022

Action-Conditioned Contrastive Policy Pretraining.

Qihang Zhang, Zhenghao Peng, Bolei Zhou

CoRR, 2022

Human-AI Shared Control via Policy Dissection.

Quanyi Li, Zhenghao Peng, Haibin Wu, Lan Feng, Bolei Zhou

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Meta Proximal Policy Optimization for Cooperative Multi-Agent Continuous Control.

Boli Fang, Zhenghao Peng, Hao Sun, Qin Zhang

Proceedings of the International Joint Conference on Neural Networks, 2022

Efficient Learning of Safe Driving Policy via Human-AI Copilot Optimization.

Quanyi Li, Zhenghao Peng, Bolei Zhou

Proceedings of the Tenth International Conference on Learning Representations, 2022

Learning to Drive by Watching YouTube Videos: Action-Conditioned Contrastive Policy Pretraining.

Qihang Zhang, Zhenghao Peng, Bolei Zhou

Proceedings of the Computer Vision - ECCV 2022, 2022

SwinTextSpotter: Scene Text Spotting via Better Synergy between Text Detection and Text Recognition.

Mingxin Huang, Yuliang Liu, Zhenghao Peng, Chongyu Liu, Dahua Lin, Shenggao Zhu, Nicholas Jing Yuan, Kai Ding, Lianwen Jin

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

MetaDrive: Composing Diverse Driving Scenarios for Generalizable Reinforcement Learning.

Quanyi Li, Zhenghao Peng, Zhenghai Xue, Qihang Zhang, Bolei Zhou

CoRR, 2021

Safe Exploration by Solving Early Terminated MDP.

Hao Sun, Ziping Xu, Meng Fang, Zhenghao Peng, Jiadong Guo, Bo Dai, Bolei Zhou

CoRR, 2021

Learning to Simulate Self-driven Particles System with Coordinated Policy Optimization.

Zhenghao Peng, Quanyi Li, Ka-Ming Hui, Chunxiao Liu, Bolei Zhou

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Safe Driving via Expert Guided Policy Optimization.

Zhenghao Peng, Quanyi Li, Chunxiao Liu, Bolei Zhou

Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

2020

Improving the Generalization of End-to-End Driving through Procedural Generation.

Quanyi Li, Zhenghao Peng, Qihang Zhang, Cong Qiu, Chunxiao Liu, Bolei Zhou

CoRR, 2020

Non-local Policy Optimization via Diversity-regularized Collaborative Exploration.

Zhenghao Peng, Hao Sun, Bolei Zhou

CoRR, 2020

Novel Policy Seeking with Constrained Optimization.

Hao Sun, Zhenghao Peng, Bo Dai, Jian Guo, Dahua Lin, Bolei Zhou

CoRR, 2020

2019

Approximate Random Dropout for DNN training acceleration in GPGPU.

Zhuoran Song, Ru Wang, Dongyu Ru, Zhenghao Peng, Hongru Huang, Hai Zhao, Xiaoyao Liang, Li Jiang

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2019

2018

Approximate Random Dropout.

Zhuoran Song, Dongyu Ru, Ru Wang, Hongru Huang, Zhenghao Peng, Jing Ke, Xiaoyao Liang, Li Jiang

CoRR, 2018

AXNet: approximate computing using an end-to-end trainable neural network.

Zhenghao Peng, Xuyang Chen, Chengwen Xu, Naifeng Jing, Xiaoyao Liang, Cewu Lu, Li Jiang

Proceedings of the International Conference on Computer-Aided Design, 2018