Wavelet Scattering Transform for ECG Beat Classification. - Zhishuai Liu; Guihua Yao; Qing Zhang 009; Junpu Zhang; Xueying Zeng (Comput. Math. Methods Medicine, 2020)

Convergence of Sign-based Random Reshuffling Algorithms for Nonconvex Optimization. - Zhen Qin; Zhishuai Liu; Pan Xu 002 (CoRR, 2023)

Distributionally Robust Off-Dynamics Reinforcement Learning: Provable Efficiency with Linear Function Approximation. - Zhishuai Liu; Pan Xu 002 (AISTATS, 2024)

Minimax Optimal and Computationally Efficient Algorithms for Distributionally Robust Offline Reinforcement Learning. - Zhishuai Liu; Pan Xu 002 (NeurIPS, 2024)

Upper and Lower Bounds for Distributionally Robust Off-Dynamics Reinforcement Learning. - Zhishuai Liu; Weixin Wang; Pan Xu 002 (CoRR, 2024)

Return Augmented Decision Transformer for Off-Dynamics Reinforcement Learning. - Ruhan Wang; Yu Yang 001; Zhishuai Liu; Dongruo Zhou; Pan Xu 002 (CoRR, 2024)

Robust Offline Reinforcement Learning with Linearly Structured f-Divergence Regularization. - Cheng Tang; Zhishuai Liu; Pan Xu 002 (CoRR, 2024)

Penalized regression analysis with individual-specific patterns of missing covariates. - Zhishuai Liu; Zishu Zhan; Cunjie Lin (Commun. Stat. Simul. Comput., 2024)

Linear Mixture Distributionally Robust Markov Decision Processes. - Zhishuai Liu; Pan Xu (CoRR, 2025)

How to Provably Improve Return Conditioned Supervised Learning? - Zhishuai Liu; Yu Yang 001; Ruhan Wang; Pan Xu 002; Dongruo Zhou (CoRR, 2025)