Zhenghao Peng

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 32

Top Topics

Natural Scene Images

Reinforcement Learning

Efficient Learning

Top Venues

Publications

Mingxin Huang, Dezhi Peng, Hongliang Li, Zhenghao Peng, Chongyu Liu, Dahua Lin, Yuliang Liu, Xiang Bai, Lianwen Jin
SwinTextSpotter v2: Towards Better Synergy for Scene Text Spotting. CoRR (2024)
Yunsong Zhou, Michael Simon, Zhenghao Peng, Sicheng Mo, Hongzi Zhu, Minyi Guo, Bolei Zhou
SimGen: Simulator-conditioned Driving Scene Generation. CoRR (2024)
Lan Feng, Quanyi Li, Zhenghao Peng, Shuhan Tan, Bolei Zhou
TrafficGen: Learning to Generate Diverse and Realistic Traffic Scenarios. ICRA (2023)
Quanyi Li, Zhenghao Peng, Lan Feng, Qihang Zhang, Zhenghai Xue, Bolei Zhou
MetaDrive: Composing Diverse Driving Scenarios for Generalizable Reinforcement Learning. IEEE Trans. Pattern Anal. Mach. Intell. 45 (3) (2023)
Linrui Zhang, Zhenghao Peng, Quanyi Li, Bolei Zhou
CAT: Closed-loop Adversarial Training for Safe End-to-End Driving. CoRL (2023)
Zhenghai Xue, Zhenghao Peng, Quanyi Li, Zhihan Liu, Bolei Zhou
Guarded Policy Optimization with Imperfect Online Demonstrations. ICLR (2023)
Linrui Zhang, Zhenghao Peng, Quanyi Li, Bolei Zhou
CAT: Closed-loop Adversarial Training for Safe End-to-End Driving. CoRR (2023)
Quanyi Li, Zhenghao Peng, Lan Feng, Zhizheng Liu, Chenda Duan, Wenjie Mo, Bolei Zhou
ScenarioNet: Open-Source Platform for Large-Scale Traffic Scenario Simulation and Modeling. CoRR (2023)
Zhenghai Xue, Zhenghao Peng, Quanyi Li, Zhihan Liu, Bolei Zhou
Guarded Policy Optimization with Imperfect Online Demonstrations. CoRR (2023)
Boli Fang, Zhenghao Peng, Hao Sun, Qin Zhang
Meta Proximal Policy Optimization for Cooperative Multi-Agent Continuous Control. IJCNN (2022)
Qihang Zhang, Zhenghao Peng, Bolei Zhou
Learning to Drive by Watching YouTube Videos: Action-Conditioned Contrastive Policy Pretraining. ECCV (26) (2022)
Quanyi Li, Zhenghao Peng, Haibin Wu, Lan Feng, Bolei Zhou
Human-AI Shared Control via Policy Dissection. NeurIPS (2022)
Mingxin Huang, Yuliang Liu, Zhenghao Peng, Chongyu Liu, Dahua Lin, Shenggao Zhu, Nicholas Yuan, Kai Ding, Lianwen Jin
SwinTextSpotter: Scene Text Spotting via Better Synergy between Text Detection and Text Recognition. CoRR (2022)
Quanyi Li, Zhenghao Peng, Haibin Wu, Lan Feng, Bolei Zhou
Human-AI Shared Control via Frequency-based Policy Dissection. CoRR (2022)
Quanyi Li, Zhenghao Peng, Bolei Zhou
Efficient Learning of Safe Driving Policy via Human-AI Copilot Optimization. CoRR (2022)
Lan Feng, Quanyi Li, Zhenghao Peng, Shuhan Tan, Bolei Zhou
TrafficGen: Learning to Generate Diverse and Realistic Traffic Scenarios. CoRR (2022)
Qihang Zhang, Zhenghao Peng, Bolei Zhou
Action-Conditioned Contrastive Policy Pretraining. CoRR (2022)
Mingxin Huang, Yuliang Liu, Zhenghao Peng, Chongyu Liu, Dahua Lin, Shenggao Zhu, Nicholas Yuan, Kai Ding, Lianwen Jin
SwinTextSpotter: Scene Text Spotting via Better Synergy between Text Detection and Text Recognition. CVPR (2022)
Quanyi Li, Zhenghao Peng, Bolei Zhou
Efficient Learning of Safe Driving Policy via Human-AI Copilot Optimization. ICLR (2022)
Zhenghao Peng, Quanyi Li, Ka-Ming Hui, Chunxiao Liu, Bolei Zhou
Learning to Simulate Self-Driven Particles System with Coordinated Policy Optimization. CoRR (2021)
Quanyi Li, Zhenghao Peng, Zhenghai Xue, Qihang Zhang, Bolei Zhou
MetaDrive: Composing Diverse Driving Scenarios for Generalizable Reinforcement Learning. CoRR (2021)
Zhenghao Peng, Quanyi Li, Chunxiao Liu, Bolei Zhou
Safe Driving via Expert Guided Policy Optimization. CoRL (2021)
Zhenghao Peng, Quanyi Li, Chunxiao Liu, Bolei Zhou
Safe Driving via Expert Guided Policy Optimization. CoRR (2021)
Zhenghao Peng, Quanyi Li, Ka-Ming Hui, Chunxiao Liu, Bolei Zhou
Learning to Simulate Self-driven Particles System with Coordinated Policy Optimization. NeurIPS (2021)
Hao Sun, Ziping Xu, Meng Fang, Zhenghao Peng, Jiadong Guo, Bo Dai, Bolei Zhou
Safe Exploration by Solving Early Terminated MDP. CoRR (2021)
Quanyi Li, Zhenghao Peng, Qihang Zhang, Cong Qiu, Chunxiao Liu, Bolei Zhou
Improving the Generalization of End-to-End Driving through Procedural Generation. CoRR (2020)
Zhenghao Peng, Hao Sun, Bolei Zhou
Non-local Policy Optimization via Diversity-regularized Collaborative Exploration. CoRR (2020)
Hao Sun, Zhenghao Peng, Bo Dai, Jian Guo, Dahua Lin, Bolei Zhou
Novel Policy Seeking with Constrained Optimization. CoRR (2020)
Zhuoran Song, Ru Wang, Dongyu Ru, Zhenghao Peng, Hongru Huang, Hai Zhao, Xiaoyao Liang, Li Jiang
Approximate Random Dropout for DNN training acceleration in GPGPU. DATE (2019)
Zhenghao Peng, Xuyang Chen, Chengwen Xu, Naifeng Jing, Xiaoyao Liang, Cewu Lu, Li Jiang
AXNet: approximate computing using an end-to-end trainable neural network. ICCAD (2018)
Zhuoran Song, Dongyu Ru, Ru Wang, Hongru Huang, Zhenghao Peng, Jing Ke, Xiaoyao Liang, Li Jiang
Approximate Random Dropout. CoRR (2018)
Zhenghao Peng, Xuyang Chen, Chengwen Xu, Naifeng Jing, Xiaoyao Liang, Cewu Lu, Li Jiang
AXNet: ApproXimate computing using an end-to-end trainable neural network. CoRR (2018)