Zifeng Zhuang - RankMe

35 papers A* 8A 2B 1Journal 23Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	MMaDA-VLA: Large Diffusion Vision-Language-Action Model with Unified Multi-Modal Instruction and Generation. CoRR Yang Liu, Pengxiang Ding, Tengyue Jiang, Xudong Wang, Wenxuan Song, Minghui Lin, Han Zhao, Hongyin Zhang, Zifeng Zhuang, Wei Zhao, Siteng Huang, Jinkui Shi, Donglin Wang
2026	J	`jnl`	NFPO: Stabilized Policy Optimization of Normalizing Flow for Robotic Policy Learning. CoRR Diyuan Shi, Yiqi Tang, Zifeng Zhuang, Donglin Wang
2025	J	`jnl`	Boundary-to-Region Supervision for Offline Safe Reinforcement Learning. CoRR Huikang Su, Dengyun Peng, Zifeng Zhuang, Yuhan Liu, Qiguang Chen, Donglin Wang, Qinghe Liu
2025	J	`jnl`	Bridging Supervised and Temporal Difference Learning with CoRR Xing Lei, Zifeng Zhuang, Shentao Yang, Sheng Xu, Yunhao Luo, Fei Shen, Xuetao Zhang, Donglin Wang
2025	J	`jnl`	Efficient Online RL Fine Tuning with Offline Pre-trained Policy Only. CoRR Wei Xiao, Jiacheng Liu, Zifeng Zhuang, Runze Suo, Shangke Lyu, Donglin Wang
2025	J	`jnl`	HiF-VLA: Hindsight, Insight and Foresight through Motion Representation for Vision-Language-Action Models. CoRR Minghui Lin, Pengxiang Ding, Shu Wang, Zifeng Zhuang, Yang Liu, Xinyang Tong, Wenxuan Song, Shangke Lyu, Siteng Huang, Donglin Wang
2025	A*	`conf`	ReinboT: Amplifying Robot Visual-Language Manipulation with Reinforcement Learning. ICML Hongyin Zhang, Zifeng Zhuang, Han Zhao, Pengxiang Ding, Hongchao Lu, Donglin Wang
2025	J	`jnl`	ReinboT: Amplifying Robot Visual-Language Manipulation with Reinforcement Learning. CoRR Hongyin Zhang, Zifeng Zhuang, Han Zhao, Pengxiang Ding, Hongchao Lu, Donglin Wang
2025	A*	`conf`	Stay Hungry, Keep Learning: Sustainable Plasticity for Deep Reinforcement Learning. ICML Huaicheng Zhou, Zifeng Zhuang, Donglin Wang
2025	J	`jnl`	TDMPBC: Self-Imitative Reinforcement Learning for Humanoid Robot Control. CoRR Zifeng Zhuang, Diyuan Shi, Runze Suo, Xiao He, Hongyin Zhang, Ting Wang, Shangke Lyu, Donglin Wang
2025	J	`jnl`	VARD: Efficient and Dense Fine-Tuning for Diffusion Models with Value-based RL. CoRR Fengyuan Dai, Zifeng Zhuang, Yufei Huang, Siteng Huang, Bangyan Liao, Donglin Wang, Fajie Yuan
2024	J	`jnl`	ADR-BC: Adversarial Density Weighted Regression Behavior Cloning. CoRR Ziqi Zhang, Zifeng Zhuang, Donglin Wang, Jingzehua Xu, Miao Liu, Shuai Zhang
2024	A*	`conf`	Beyond OOD State Actions: Supported Cross-Domain Offline Reinforcement Learning. AAAI Jinxin Liu, Ziqi Zhang, Zhenyu Wei, Zifeng Zhuang, Yachen Kang, Sibo Gai, Donglin Wang
2024	J	`jnl`	Context-Former: Stitching via Latent Conditioned Sequence Modeling. CoRR Ziqi Zhang, Jingzehua Xu, Zifeng Zhuang, Jinxin Liu, Donglin Wang
2024	A*	`conf`	DIDI: Diffusion-Guided Diversity for Offline Behavioral Generation. ICML Jinxin Liu, Xinghong Guo, Zifeng Zhuang, Donglin Wang
2024	J	`jnl`	DIDI: Diffusion-Guided Diversity for Offline Behavioral Generation. CoRR Jinxin Liu, Xinghong Guo, Zifeng Zhuang, Donglin Wang
2024	J	`jnl`	Q-WSL: Optimizing Goal-Conditioned RL with Weighted Supervised Learning via Dynamic Programming. CoRR Xing Lei, Xuetao Zhang, Zifeng Zhuang, Donglin Wang
2024	A*	`conf`	Reinformer: Max-Return Sequence Modeling for Offline RL. ICML Zifeng Zhuang, Dengyun Peng, Jinxin Liu, Ziqi Zhang, Donglin Wang
2024	J	`jnl`	Reinformer: Max-Return Sequence Modeling for Offline RL. CoRR Zifeng Zhuang, Dengyun Peng, Jinxin Liu, Ziqi Zhang, Donglin Wang
2024	A	`conf`	RotoGBML: Towards Out-of-distribution Generalization for Gradient-based Meta-learning. ICME Min Zhang, Zifeng Zhuang, Zhitao Wang, Donglin Wang
2023	J	`jnl`	Adaptive Proximal Policy Optimization with Upper Confidence Bound. CoRR Ziqi Zhang, Jingzehua Xu, Zifeng Zhuang, Jinxin Liu, Donglin Wang
2023	A*	`conf`	Behavior Proximal Policy Optimization. ICLR Zifeng Zhuang, Kun Lei, Jinxin Liu, Donglin Wang, Yilang Guo
2023	J	`jnl`	Behavior Proximal Policy Optimization. CoRR Zifeng Zhuang, Kun Lei, Jinxin Liu, Donglin Wang, Yilang Guo
2023	J	`jnl`	Beyond OOD State Actions: Supported Cross-Domain Offline Reinforcement Learning. CoRR Jinxin Liu, Ziqi Zhang, Zhenyu Wei, Zifeng Zhuang, Yachen Kang, Sibo Gai, Donglin Wang
2023	A*	`conf`	CEIL: Generalized Contextual Imitation Learning. NeurIPS Jinxin Liu, Li He, Yachen Kang, Zifeng Zhuang, Donglin Wang, Huazhe Xu
2023	J	`jnl`	CEIL: Generalized Contextual Imitation Learning. CoRR Jinxin Liu, Li He, Yachen Kang, Zifeng Zhuang, Donglin Wang, Huazhe Xu
2023	A*	`conf`	Design from Policies: Conservative Test-Time Adaptation for Offline Policy Optimization. NeurIPS Jinxin Liu, Hongyin Zhang, Zifeng Zhuang, Yachen Kang, Donglin Wang, Bin Wang
2023	J	`jnl`	Design from Policies: Conservative Test-Time Adaptation for Offline Policy Optimization. CoRR Jinxin Liu, Hongyin Zhang, Zifeng Zhuang, Yachen Kang, Donglin Wang, Bin Wang
2023	J	`jnl`	RSG: Fast Learning Adaptive Skills for Quadruped Robots by Skill Graph. CoRR Hongyin Zhang, Diyuan Shi, Zifeng Zhuang, Han Zhao, Zhenyu Wei, Feng Zhao, Sibo Gai, Shangke Lyu, Donglin Wang
2023	J	`jnl`	RotoGBML: Towards Out-of-Distribution Generalization for Gradient-Based Meta-Learning. CoRR Min Zhang, Zifeng Zhuang, Zhitao Wang, Donglin Wang, Wenbin Li
2023	J	`jnl`	SERA: Sample Efficient Reward Augmentation in offline-to-online Reinforcement Learning. CoRR Ziqi Zhang, Xiao Xiong, Zifeng Zhuang, Jinxin Liu, Donglin Wang
2023	J	`jnl`	STRAPPER: Preference-based Reinforcement Learning via Self-training Augmentation and Peer Regularization. CoRR Yachen Kang, Li He, Jinxin Liu, Zifeng Zhuang, Donglin Wang
2022	—	`conf`	The Continuous Time Dynamical Analysis of Heart Rate Asymmetry. CECNet Yi-Horng Lai, Jiahan Yu, Kun Su, Lin Lan, Zexin Li, Zequn Zhang, Zifeng Zhuang
2021	B	`conf`	HINFShot: A Challenge Dataset for Few-Shot Node Classification in Heterogeneous Information Network. ICMR Zifeng Zhuang, Xintao Xiang, Siteng Huang, Donglin Wang
2020	A	`conf`	Homogenization with Explicit Semantics Preservation for Heterogeneous Information Network. CIKM Tiancheng Huang, Zifeng Zhuang, Shanshan Zhang, Donglin Wang