Zhishuai Liu - RankMe

18 papers A* 3A 1Journal 14

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Return Augmented Decision Transformer for Off-Dynamics Reinforcement Learning. Trans. Mach. Learn. Res. Ruhan Wang, Yu Yang, Zhishuai Liu, Dongruo Zhou, Pan Xu
2025	J	`jnl`	A Differential Manifold Perspective and Universality Analysis of Continuous Attractors in Artificial Neural Networks. CoRR Shaoxin Tian, Hongkai Liu, Yuying Yang, Jiali Yu, Zizheng Miao, Xuming Huang, Zhishuai Liu, Zhang Yi
2025	J	`jnl`	How to Provably Improve Return Conditioned Supervised Learning? CoRR Zhishuai Liu, Yu Yang, Ruhan Wang, Pan Xu, Dongruo Zhou
2025	J	`jnl`	Linear Mixture Distributionally Robust Markov Decision Processes. CoRR Zhishuai Liu, Pan Xu
2025	J	`jnl`	Policy Regularized Distributionally Robust Markov Decision Processes with Linear Function Approximation. CoRR Jingwen Gu, Yiting He, Zhishuai Liu, Pan Xu
2025	A*	`conf`	Robust Offline Reinforcement Learning with Linearly Structured f-Divergence Regularization. ICML Cheng Tang, Zhishuai Liu, Pan Xu
2025	A*	`conf`	Sample Complexity of Distributionally Robust Off-Dynamics Reinforcement Learning with Online Interaction. ICML Yiting He, Zhishuai Liu, Weixin Wang, Pan Xu
2025	J	`jnl`	Sample Complexity of Distributionally Robust Off-Dynamics Reinforcement Learning with Online Interaction. CoRR Yiting He, Zhishuai Liu, Weixin Wang, Pan Xu
2024	A	`conf`	Distributionally Robust Off-Dynamics Reinforcement Learning: Provable Efficiency with Linear Function Approximation. AISTATS Zhishuai Liu, Pan Xu
2024	J	`jnl`	Distributionally Robust Off-Dynamics Reinforcement Learning: Provable Efficiency with Linear Function Approximation. CoRR Zhishuai Liu, Pan Xu
2024	A*	`conf`	Minimax Optimal and Computationally Efficient Algorithms for Distributionally Robust Offline Reinforcement Learning. NeurIPS Zhishuai Liu, Pan Xu
2024	J	`jnl`	Minimax Optimal and Computationally Efficient Algorithms for Distributionally Robust Offline Reinforcement Learning. CoRR Zhishuai Liu, Pan Xu
2024	J	`jnl`	Penalized regression analysis with individual-specific patterns of missing covariates. Commun. Stat. Simul. Comput. Zhishuai Liu, Zishu Zhan, Cunjie Lin
2024	J	`jnl`	Return Augmented Decision Transformer for Off-Dynamics Reinforcement Learning. CoRR Ruhan Wang, Yu Yang, Zhishuai Liu, Dongruo Zhou, Pan Xu
2024	J	`jnl`	Robust Offline Reinforcement Learning with Linearly Structured CoRR Cheng Tang, Zhishuai Liu, Pan Xu
2024	J	`jnl`	Upper and Lower Bounds for Distributionally Robust Off-Dynamics Reinforcement Learning. CoRR Zhishuai Liu, Weixin Wang, Pan Xu
2023	J	`jnl`	Convergence of Sign-based Random Reshuffling Algorithms for Nonconvex Optimization. CoRR Zhen Qin, Zhishuai Liu, Pan Xu
2020	J	`jnl`	Wavelet Scattering Transform for ECG Beat Classification. Comput. Math. Methods Medicine Zhishuai Liu, Guihua Yao, Qing Zhang, Junpu Zhang, Xueying Zeng