Zhenghao Peng - RankMe

50 papers A* 11A 2B 1Misc 2Journal 32Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	DiSCo: Diffusion Sequence Copilots for Shared Autonomy. HRI Andy Wang, Xu Yan, Brandon McMahan, Michael Zhou, Yuyang Yuan, Johannes Y. Lee, Ali Shreif, Matthew Li, Zhenghao Peng, Bolei Zhou, Yuchen Cui, Jonathan C. Kao
2026	J	`jnl`	DiSCo: Diffusion Sequence Copilots for Shared Autonomy. CoRR Andy Wang, Xu Yan, Brandon McMahan, Michael Zhou, Yuyang Yuan, Johannes Y. Lee, Ali Shreif, Matthew Li, Zhenghao Peng, Bolei Zhou, Yuchen Cui, Jonathan C. Kao
2025	J	`jnl`	Adv-BMT: Bidirectional Motion Transformer for Safety-Critical Traffic Scenario Generation. CoRR Yuxin Liu, Zhenghao Peng, Xuanhao Cui, Bolei Zhou
2025	A*	`conf`	Data-Efficient Learning from Human Interventions for Mobile Robots. ICRA Zhenghao Peng, Zhizheng Liu, Bolei Zhou
2025	J	`jnl`	Data-Efficient Learning from Human Interventions for Mobile Robots. CoRR Zhenghao Peng, Zhizheng Liu, Bolei Zhou
2025	A*	`conf`	Embodied Scene Understanding for Vision Language Models via MetaVQA. CVPR Weizhen Wang, Chenda Duan, Zhenghao Peng, Yuxin Liu, Bolei Zhou
2025	J	`jnl`	Embodied Scene Understanding for Vision Language Models via MetaVQA. CoRR Weizhen Wang, Chenda Duan, Zhenghao Peng, Yuxin Liu, Bolei Zhou
2025	J	`jnl`	InfGen: Scenario Generation as Next Token Group Prediction. CoRR Zhenghao Peng, Yuxin Liu, Bolei Zhou
2025	J	`jnl`	Learning from Active Human Involvement through Proxy Value Propagation. CoRR Zhenghao Peng, Wenjie Mo, Chenda Duan, Quanyi Li, Bolei Zhou
2025	J	`jnl`	Predictive Preference Learning from Human Interventions. CoRR Haoyuan Cai, Zhenghao Peng, Bolei Zhou
2025	A*	`conf`	Robot-Gated Interactive Imitation Learning with Adaptive Intervention Mechanism. ICML Haoyuan Cai, Zhenghao Peng, Bolei Zhou
2025	J	`jnl`	Robot-Gated Interactive Imitation Learning with Adaptive Intervention Mechanism. CoRR Haoyuan Cai, Zhenghao Peng, Bolei Zhou
2025	J	`jnl`	SwinTextSpotter v2: Towards Better Synergy for Scene Text Spotting. Int. J. Comput. Vis. Mingxin Huang, Dezhi Peng, Hongliang Li, Zhenghao Peng, Chongyu Liu, Dahua Lin, Yuliang Liu, Xiang Bai, Lianwen Jin
2025	A*	`conf`	Vid2Sim: Realistic and Interactive Simulation from Video for Urban Navigation. CVPR Ziyang Xie, Zhizheng Liu, Zhenghao Peng, Wayne Wu, Bolei Zhou
2025	J	`jnl`	Vid2Sim: Realistic and Interactive Simulation from Video for Urban Navigation. CoRR Ziyang Xie, Zhizheng Liu, Zhenghao Peng, Wayne Wu, Bolei Zhou
2024	—	`conf`	Improving Agent Behaviors with RL Fine-Tuning for Autonomous Driving. ECCV (25) Zhenghao Peng, Wenjie Luo, Yiren Lu, Tianyi Shen, Cole Gulino, Ari Seff, Justin Fu
2024	J	`jnl`	Improving Agent Behaviors with RL Fine-tuning for Autonomous Driving. CoRR Zhenghao Peng, Wenjie Luo, Yiren Lu, Tianyi Shen, Cole Gulino, Ari Seff, Justin Fu
2024	J	`jnl`	Shared Autonomy with IDA: Interventional Diffusion Assistance. CoRR Brandon McMahan, Zhenghao Peng, Bolei Zhou, Jonathan C. Kao
2024	J	`jnl`	SimGen: Simulator-conditioned Driving Scene Generation. CoRR Yunsong Zhou, Michael Simon, Zhenghao Peng, Sicheng Mo, Hongzi Zhu, Minyi Guo, Bolei Zhou
2024	J	`jnl`	SwinTextSpotter v2: Towards Better Synergy for Scene Text Spotting. CoRR Mingxin Huang, Dezhi Peng, Hongliang Li, Zhenghao Peng, Chongyu Liu, Dahua Lin, Yuliang Liu, Xiang Bai, Lianwen Jin
2023	Misc	`conf`	CAT: Closed-loop Adversarial Training for Safe End-to-End Driving. CoRL Linrui Zhang, Zhenghao Peng, Quanyi Li, Bolei Zhou
2023	J	`jnl`	CAT: Closed-loop Adversarial Training for Safe End-to-End Driving. CoRR Linrui Zhang, Zhenghao Peng, Quanyi Li, Bolei Zhou
2023	A*	`conf`	Guarded Policy Optimization with Imperfect Online Demonstrations. ICLR Zhenghai Xue, Zhenghao Peng, Quanyi Li, Zhihan Liu, Bolei Zhou
2023	J	`jnl`	Guarded Policy Optimization with Imperfect Online Demonstrations. CoRR Zhenghai Xue, Zhenghao Peng, Quanyi Li, Zhihan Liu, Bolei Zhou
2023	J	`jnl`	MetaDrive: Composing Diverse Driving Scenarios for Generalizable Reinforcement Learning. IEEE Trans. Pattern Anal. Mach. Intell. Quanyi Li, Zhenghao Peng, Lan Feng, Qihang Zhang, Zhenghai Xue, Bolei Zhou
2023	J	`jnl`	ScenarioNet: Open-Source Platform for Large-Scale Traffic Scenario Simulation and Modeling. CoRR Quanyi Li, Zhenghao Peng, Lan Feng, Zhizheng Liu, Chenda Duan, Wenjie Mo, Bolei Zhou
2023	A*	`conf`	TrafficGen: Learning to Generate Diverse and Realistic Traffic Scenarios. ICRA Lan Feng, Quanyi Li, Zhenghao Peng, Shuhan Tan, Bolei Zhou
2022	J	`jnl`	Action-Conditioned Contrastive Policy Pretraining. CoRR Qihang Zhang, Zhenghao Peng, Bolei Zhou
2022	A*	`conf`	Efficient Learning of Safe Driving Policy via Human-AI Copilot Optimization. ICLR Quanyi Li, Zhenghao Peng, Bolei Zhou
2022	J	`jnl`	Efficient Learning of Safe Driving Policy via Human-AI Copilot Optimization. CoRR Quanyi Li, Zhenghao Peng, Bolei Zhou
2022	J	`jnl`	Human-AI Shared Control via Frequency-based Policy Dissection. CoRR Quanyi Li, Zhenghao Peng, Haibin Wu, Lan Feng, Bolei Zhou
2022	A*	`conf`	Human-AI Shared Control via Policy Dissection. NeurIPS Quanyi Li, Zhenghao Peng, Haibin Wu, Lan Feng, Bolei Zhou
2022	—	`conf`	Learning to Drive by Watching YouTube Videos: Action-Conditioned Contrastive Policy Pretraining. ECCV (26) Qihang Zhang, Zhenghao Peng, Bolei Zhou
2022	B	`conf`	Meta Proximal Policy Optimization for Cooperative Multi-Agent Continuous Control. IJCNN Boli Fang, Zhenghao Peng, Hao Sun, Qin Zhang
2022	A*	`conf`	SwinTextSpotter: Scene Text Spotting via Better Synergy between Text Detection and Text Recognition. CVPR Mingxin Huang, Yuliang Liu, Zhenghao Peng, Chongyu Liu, Dahua Lin, Shenggao Zhu, Nicholas Jing Yuan, Kai Ding, Lianwen Jin
2022	J	`jnl`	SwinTextSpotter: Scene Text Spotting via Better Synergy between Text Detection and Text Recognition. CoRR Mingxin Huang, Yuliang Liu, Zhenghao Peng, Chongyu Liu, Dahua Lin, Shenggao Zhu, Nicholas Jing Yuan, Kai Ding, Lianwen Jin
2022	J	`jnl`	TrafficGen: Learning to Generate Diverse and Realistic Traffic Scenarios. CoRR Lan Feng, Quanyi Li, Zhenghao Peng, Shuhan Tan, Bolei Zhou
2021	J	`jnl`	Learning to Simulate Self-Driven Particles System with Coordinated Policy Optimization. CoRR Zhenghao Peng, Quanyi Li, Ka-Ming Hui, Chunxiao Liu, Bolei Zhou
2021	A*	`conf`	Learning to Simulate Self-driven Particles System with Coordinated Policy Optimization. NeurIPS Zhenghao Peng, Quanyi Li, Ka-Ming Hui, Chunxiao Liu, Bolei Zhou
2021	J	`jnl`	MetaDrive: Composing Diverse Driving Scenarios for Generalizable Reinforcement Learning. CoRR Quanyi Li, Zhenghao Peng, Zhenghai Xue, Qihang Zhang, Bolei Zhou
2021	Misc	`conf`	Safe Driving via Expert Guided Policy Optimization. CoRL Zhenghao Peng, Quanyi Li, Chunxiao Liu, Bolei Zhou
2021	J	`jnl`	Safe Driving via Expert Guided Policy Optimization. CoRR Zhenghao Peng, Quanyi Li, Chunxiao Liu, Bolei Zhou
2021	J	`jnl`	Safe Exploration by Solving Early Terminated MDP. CoRR Hao Sun, Ziping Xu, Meng Fang, Zhenghao Peng, Jiadong Guo, Bo Dai, Bolei Zhou
2020	J	`jnl`	Improving the Generalization of End-to-End Driving through Procedural Generation. CoRR Quanyi Li, Zhenghao Peng, Qihang Zhang, Cong Qiu, Chunxiao Liu, Bolei Zhou
2020	J	`jnl`	Non-local Policy Optimization via Diversity-regularized Collaborative Exploration. CoRR Zhenghao Peng, Hao Sun, Bolei Zhou
2020	J	`jnl`	Novel Policy Seeking with Constrained Optimization. CoRR Hao Sun, Zhenghao Peng, Bo Dai, Jian Guo, Dahua Lin, Bolei Zhou
2019	A	`conf`	Approximate Random Dropout for DNN training acceleration in GPGPU. DATE Zhuoran Song, Ru Wang, Dongyu Ru, Zhenghao Peng, Hongru Huang, Hai Zhao, Xiaoyao Liang, Li Jiang
2018	J	`jnl`	AXNet: ApproXimate computing using an end-to-end trainable neural network. CoRR Zhenghao Peng, Xuyang Chen, Chengwen Xu, Naifeng Jing, Xiaoyao Liang, Cewu Lu, Li Jiang
2018	A	`conf`	AXNet: approximate computing using an end-to-end trainable neural network. ICCAD Zhenghao Peng, Xuyang Chen, Chengwen Xu, Naifeng Jing, Xiaoyao Liang, Cewu Lu, Li Jiang
2018	J	`jnl`	Approximate Random Dropout. CoRR Zhuoran Song, Dongyu Ru, Ru Wang, Hongru Huang, Zhenghao Peng, Jing Ke, Xiaoyao Liang, Li Jiang