Wanpeng Zhang - RankMe

32 papers A* 8C 1Misc 2Journal 19Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Being-H0.5: Scaling Human-Centric Robot Learning for Cross-Embodiment Generalization. CoRR Hao Luo, Ye Wang, Wanpeng Zhang, Sipeng Zheng, Ziheng Xi, Chaoyi Xu, Haiweng Xu, Haoqi Yuan, Chi Zhang, Yiqing Wang, Yicheng Feng, Zongqing Lu
2026	J	`jnl`	Conservative Offline Robot Policy Learning via Posterior-Transition Reweighting. CoRR Wanpeng Zhang, Hao Luo, Sipeng Zheng, Yicheng Feng, Haiweng Xu, Ziheng Xi, Chaoyi Xu, Haoqi Yuan, Zongqing Lu
2026	J	`jnl`	Joint-Aligned Latent Action: Towards Scalable VLA Pretraining in the Wild. CoRR Hao Luo, Ye Wang, Wanpeng Zhang, Haoqi Yuan, Yicheng Feng, Haiweng Xu, Sipeng Zheng, Zongqing Lu
2026	J	`jnl`	Rethinking Visual-Language-Action Model Scaling: Alignment, Mixture, and Regularization. CoRR Ye Wang, Sipeng Zheng, Hao Luo, Wanpeng Zhang, Haoqi Yuan, Chaoyi Xu, Haiweng Xu, Yicheng Feng, Mingyang Yu, Zhiyu Kang, Zongqing Lu, Qin Jin
2025	J	`jnl`	Being-H0: Vision-Language-Action Pretraining from Large-Scale Human Videos. CoRR Hao Luo, Yicheng Feng, Wanpeng Zhang, Sipeng Zheng, Ye Wang, Haoqi Yuan, Jiazheng Liu, Chaoyi Xu, Qin Jin, Zongqing Lu
2025	J	`jnl`	DiG-Flow: Discrepancy-Guided Flow Matching for Robust VLA Models. CoRR Wanpeng Zhang, Ye Wang, Hao Luo, Haoqi Yuan, Yicheng Feng, Sipeng Zheng, Qin Jin, Zongqing Lu
2025	J	`jnl`	EfficientLLM: Scalable Pruning-Aware Pretraining for Architecture-Agnostic Edge Language Models. CoRR Xingrun Xing, Zheng Liu, Shitao Xiao, Boyan Gao, Yiming Liang, Wanpeng Zhang, Haokun Lin, Guoqi Li, Jiajun Zhang
2025	A*	`conf`	From Pixels to Tokens: Byte-Pair Encoding on Quantized Visual Modalities. ICLR Wanpeng Zhang, Zilong Xie, Yicheng Feng, Yijiang Li, Xingrun Xing, Sipeng Zheng, Zongqing Lu
2025	—	`conf`	LLM-Based Explicit Models of Opponents for Multi-Agent Games. NAACL (Long Papers) Xiaopeng Yu, Wanpeng Zhang, Zongqing Lu
2025	J	`jnl`	Spatial-Aware VLA Pretraining through Visual-Physical Alignment from Human Videos. CoRR Yicheng Feng, Wanpeng Zhang, Ye Wang, Hao Luo, Haoqi Yuan, Sipeng Zheng, Zongqing Lu
2025	A*	`conf`	SpikeLLM: Scaling up Spiking Neural Network to Large Language Models via Saliency-based Spiking. ICLR Xingrun Xing, Boyan Gao, Zheng Liu, David A. Clifton, Shitao Xiao, Wanpeng Zhang, Li Du, Zheng Zhang, Guoqi Li, Jiajun Zhang
2025	J	`jnl`	Unified Multimodal Understanding via Byte-Pair Visual Encoding. CoRR Wanpeng Zhang, Yicheng Feng, Hao Luo, Yijiang Li, Zihao Yue, Sipeng Zheng, Zongqing Lu
2024	—	`conf`	AdaRefiner: Refining Decisions of Language Models with Adaptive Feedback. NAACL-HLT (Findings) Wanpeng Zhang, Zongqing Lu
2024	J	`jnl`	From Pixels to Tokens: Byte-Pair Encoding on Quantized Visual Modalities. CoRR Wanpeng Zhang, Zilong Xie, Yicheng Feng, Yijiang Li, Xingrun Xing, Sipeng Zheng, Zongqing Lu
2024	A*	`conf`	Tackling Non-Stationarity in Reinforcement Learning via Causal-Origin Representation. ICML Wanpeng Zhang, Yilin Li, Boyu Yang, Zongqing Lu
2024	J	`jnl`	VideoOrion: Tokenizing Object Dynamics in Videos. CoRR Yicheng Feng, Yijiang Li, Wanpeng Zhang, Sipeng Zheng, Zongqing Lu
2023	A*	`conf`	Entity Divider with Language Grounding in Multi-Agent Reinforcement Learning. ICML Ziluo Ding, Wanpeng Zhang, Junpeng Yue, Xiangjun Wang, Tiejun Huang, Zongqing Lu
2023	J	`jnl`	RLAdapter: Bridging Large Language Models to Reinforcement Learning in Open Worlds. CoRR Wanpeng Zhang, Zongqing Lu
2023	J	`jnl`	Tackling Non-Stationarity in Reinforcement Learning via Causal-Origin Representation. CoRR Wanpeng Zhang, Yilin Li, Boyu Yang, Zongqing Lu
2022	Misc	`conf`	Efficient and Stable Information Directed Exploration for Continuous Reinforcement Learning. ICASSP Mingzhe Chen, Xi Xiao, Wanpeng Zhang, Xiaotian Gao
2022	J	`jnl`	Entity Divider with Language Grounding in Multi-Agent Reinforcement Learning. CoRR Ziluo Ding, Wanpeng Zhang, Junpeng Yue, Xiangjun Wang, Tiejun Huang, Zongqing Lu
2022	A*	`conf`	Model-Based Opponent Modeling. NeurIPS Xiaopeng Yu, Jiechuan Jiang, Wanpeng Zhang, Haobin Jiang, Zongqing Lu
2022	A*	`conf`	iGrow: A Smart Agriculture Solution to Autonomous Greenhouse Control. AAAI Xiaoyan Cao, Yao Yao, Lanqing Li, Wanpeng Zhang, Zhicheng An, Zhong Zhang, Li Xiao, Shihui Guo, Xiaoyu Cao, Meihong Wu, Dijun Luo
2021	A*	`conf`	A Simulator-based Planning Framework for Optimizing Autonomous Greenhouse Control Strategy. ICAPS Zhicheng An, Xiaoyan Cao, Yao Yao, Wanpeng Zhang, Lanqing Li, Yue Wang, Shihui Guo, Dijun Luo
2021	J	`jnl`	IGrow: A Smart Agriculture Solution to Autonomous Greenhouse Control. CoRR Xiaoyan Cao, Yao Yao, Lanqing Li, Wanpeng Zhang, Zhicheng An, Zhong Zhang, Shihui Guo, Li Xiao, Xiaoyu Cao, Dijun Luo
2021	J	`jnl`	MBDP: A Model-based Approach to Achieve both Robustness and Sample Efficiency via Double Dropout Planning. CoRR Wanpeng Zhang, Xi Xiao, Yao Yao, Mingzhe Chen, Dijun Luo
2021	C	`conf`	Robust Model-based Reinforcement Learning for Autonomous Greenhouse Control. ACML Wanpeng Zhang, Xiaoyan Cao, Yao Yao, Zhicheng An, Xi Xiao, Dijun Luo
2021	J	`jnl`	Robust Model-based Reinforcement Learning for Autonomous Greenhouse Control. CoRR Wanpeng Zhang, Xiaoyan Cao, Yao Yao, Zhicheng An, Dijun Luo, Xi Xiao
2021	A*	`conf`	Sample Efficient Reinforcement Learning via Model-Ensemble Exploration and Exploitation. ICRA Yao Yao, Li Xiao, Zhicheng An, Wanpeng Zhang, Dijun Luo
2021	J	`jnl`	Sample Efficient Reinforcement Learning via Model-Ensemble Exploration and Exploitation. CoRR Yao Yao, Li Xiao, Zhicheng An, Wanpeng Zhang, Dijun Luo
2020	Misc	`conf`	Self-Paced Probabilistic Principal Component Analysis For Data With Outliers. ICASSP Bowen Zhao, Xi Xiao, Wanpeng Zhang, Bin Zhang, Guojun Gan, Shutao Xia
2019	J	`jnl`	Self-Paced Probabilistic Principal Component Analysis for Data with Outliers. CoRR Bowen Zhao, Xi Xiao, Wanpeng Zhang, Bin Zhang, Shutao Xia