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 002 (ICCAD, 2018)

Approximate Random Dropout. - Zhuoran Song; Dongyu Ru; Ru Wang 002; Hongru Huang; Zhenghao Peng; Jing Ke; Xiaoyao Liang; Li Jiang 002 (CoRR, 2018)

Approximate Random Dropout for DNN training acceleration in GPGPU. - Zhuoran Song; Ru Wang 002; Dongyu Ru; Zhenghao Peng; Hongru Huang; Hai Zhao; Xiaoyao Liang; Li Jiang 002 (DATE, 2019)

Novel Policy Seeking with Constrained Optimization. - Hao Sun; Zhenghao Peng; Bo Dai 002; Jian Guo; Dahua Lin; Bolei Zhou (CoRR, 2020)

Non-local Policy Optimization via Diversity-regularized Collaborative Exploration. - Zhenghao Peng; Hao Sun; Bolei Zhou (CoRR, 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)

Safe Driving via Expert Guided Policy Optimization. - Zhenghao Peng; Quanyi Li; Chunxiao Liu; Bolei Zhou (CoRL, 2021)

Learning to Simulate Self-driven Particles System with Coordinated Policy Optimization. - Zhenghao Peng; Quanyi Li; Ka-Ming Hui; Chunxiao Liu; Bolei Zhou (NeurIPS, 2021)

Safe Exploration by Solving Early Terminated MDP. - Hao Sun; Ziping Xu; Meng Fang; Zhenghao Peng; Jiadong Guo; Bo Dai 002; Bolei Zhou (CoRR, 2021)

MetaDrive: Composing Diverse Driving Scenarios for Generalizable Reinforcement Learning. - Quanyi Li; Zhenghao Peng; Zhenghai Xue; Qihang Zhang; Bolei Zhou (CoRR, 2021)

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 009; Lianwen Jin (CVPR, 2022)

Learning to Drive by Watching YouTube Videos: Action-Conditioned Contrastive Policy Pretraining. - Qihang Zhang; Zhenghao Peng; Bolei Zhou (ECCV (26), 2022)

Efficient Learning of Safe Driving Policy via Human-AI Copilot Optimization. - Quanyi Li; Zhenghao Peng; Bolei Zhou (ICLR, 2022)

Meta Proximal Policy Optimization for Cooperative Multi-Agent Continuous Control. - Boli Fang; Zhenghao Peng; Hao Sun; Qin Zhang 001 (IJCNN, 2022)

Human-AI Shared Control via Policy Dissection. - Quanyi Li; Zhenghao Peng; Haibin Wu; Lan Feng; Bolei Zhou (NeurIPS, 2022)

Action-Conditioned Contrastive Policy Pretraining. - Qihang Zhang; Zhenghao Peng; Bolei Zhou (CoRR, 2022)

Human-AI Shared Control via Frequency-based Policy Dissection. - Quanyi Li; Zhenghao Peng; Haibin Wu; Lan Feng; Bolei Zhou (CoRR, 2022)

CAT: Closed-loop Adversarial Training for Safe End-to-End Driving. - Linrui Zhang; Zhenghao Peng; Quanyi Li; Bolei Zhou (CoRL, 2023)

Guarded Policy Optimization with Imperfect Online Demonstrations. - Zhenghai Xue; Zhenghao Peng; Quanyi Li; Zhihan Liu; Bolei Zhou (ICLR, 2023)

TrafficGen: Learning to Generate Diverse and Realistic Traffic Scenarios. - Lan Feng; Quanyi Li; Zhenghao Peng; Shuhan Tan; Bolei Zhou (ICRA, 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 002; Bolei Zhou (NeurIPS, 2023)

Learning from Active Human Involvement through Proxy Value Propagation. - Zhenghao Mark Peng; Wenjie Mo 002; Chenda Duan; Quanyi Li; Bolei Zhou (NeurIPS, 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., 2023)

Improving Agent Behaviors with RL Fine-Tuning for Autonomous Driving. - Zhenghao Peng; Wenjie Luo; Yiren Lu 001; Tianyi Shen; Cole Gulino; Ari Seff; Justin Fu (ECCV (25), 2024)

Shared Autonomy with IDA: Interventional Diffusion Assistance. - Brandon McMahan; Zhenghao Mark Peng; Bolei Zhou; Jonathan C. Kao (NeurIPS, 2024)

SimGen: Simulator-conditioned Driving Scene Generation. - Yunsong Zhou; Michael Simon; Zhenghao Mark Peng; Sicheng Mo; Hongzi Zhu; Minyi Guo; Bolei Zhou (NeurIPS, 2024)

Embodied Scene Understanding for Vision Language Models via MetaVQA. - Weizhen Wang; Chenda Duan; Zhenghao Peng; Yuxin Liu; Bolei Zhou (CVPR, 2025)

Vid2Sim: Realistic and Interactive Simulation from Video for Urban Navigation. - Ziyang Xie; Zhizheng Liu; Zhenghao Peng; Wayne Wu; Bolei Zhou (CVPR, 2025)

Data-Efficient Learning from Human Interventions for Mobile Robots. - Zhenghao Peng; Zhizheng Liu; Bolei Zhou (CoRR, 2025)

Robot-Gated Interactive Imitation Learning with Adaptive Intervention Mechanism. - Haoyuan Cai; Zhenghao Peng; Bolei Zhou (CoRR, 2025)

Adv-BMT: Bidirectional Motion Transformer for Safety-Critical Traffic Scenario Generation. - Yuxin Liu; Zhenghao Peng; Xuanhao Cui; Bolei Zhou (CoRR, 2025)

InfGen: Scenario Generation as Next Token Group Prediction. - Zhenghao Peng; Yuxin Liu; Bolei Zhou (CoRR, 2025)

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 (Int. J. Comput. Vis., 2025)