A New Method of Trust Inference Based on Markov Model for Peer-to-Peer Network. - Guangming Yang; Liangyu Zhang; Zhenhua Tan; Hainan Yu; Shuang Li (CIT, 2012)

The study of modelling problems of GLM for outstanding claims reserving based on prediction error of reserve. - Chun Yan; Yiwei Qiu; Liangyu Zhang; Wei Liu 051 (Int. J. Reason. based Intell. Syst., 2015)

Intervention Generative Adversarial Networks. - Jiadong Liang; Liangyu Zhang; Cheng Zhang; Zhihua Zhang (CoRR, 2020)

Semi-infinitely Constrained Markov Decision Processes. - Liangyu Zhang; Yang Peng; Wenhao Yang; Zhihua Zhang 004 (NeurIPS, 2022)

Human-computer interaction based health diagnostics using ResNet34 for tongue image classification. - Qingbin Zhuang; Senzhong Gan; Liangyu Zhang (Comput. Methods Programs Biomed., 2022)

Statistical Estimation of Confounded Linear MDPs: An Instrumental Variable Approach. - Miao Lu; Wenhao Yang; Liangyu Zhang; Zhihua Zhang (CoRR, 2022)

Distributed Fault-Tolerant Control of Connected Vehicle Platoon in A Zero-Trust Environment. - Liangyu Zhang; Darong Huang; Yuhong Na (SAFEPROCESS, 2023)

Semi-Infinitely Constrained Markov Decision Processes and Efficient Reinforcement Learning. - Liangyu Zhang; Yang Peng; Wenhao Yang; Zhihua Zhang 004 (CoRR, 2023)

Estimation and Inference in Distributional Reinforcement Learning. - Liangyu Zhang; Yang Peng; Jiadong Liang; Wenhao Yang; Zhihua Zhang 004 (CoRR, 2023)

A deep learning network based on CNN and sliding window LSTM for spike sorting. - Manqing Wang; Liangyu Zhang; Haixiang Yu; Siyu Chen; Xiaomeng Zhang; Yongqing Zhang; Dongrui Gao (Comput. Biol. Medicine, 2023)

Central Aortic Blood Pressure Waveform Estimation with a Temporal Convolutional Network. - Wenyan Liu 002; Shuo Du; Na Pang; Liangyu Zhang; Guozhe Sun; Hanguang Xiao; Qi Zhao; Lisheng Xu; Yudong Yao; Jordi Alastruey; Alberto Avolio (IEEE J. Biomed. Health Informatics, 2023)

Dynamic surface event-triggered control for unmanned sailboat path following based on adaptive tanh line-of-sight. - Zhipeng Shen; Liangyu Zhang; Yuchen Liu; Haomiao Yu (J. Syst. Control. Eng., 2023)

Statistical Efficiency of Distributional Temporal Difference Learning. - Yang Peng; Liangyu Zhang; Zhihua Zhang 004 (NeurIPS, 2024)

Near Minimax-Optimal Distributional Temporal Difference Algorithms and The Freedman Inequality in Hilbert Spaces. - Yang Peng; Liangyu Zhang; Zhihua Zhang 004 (CoRR, 2024)

Federated Reinforcement Learning with Constraint Heterogeneity. - Hao Jin; Liangyu Zhang; Zhihua Zhang (CoRR, 2024)

Federated Control in Markov Decision Processes. - Hao Jin; Yang Peng; Liangyu Zhang; Zhihua Zhang 004 (CoRR, 2024)

Semi-Infinitely Constrained Markov Decision Processes and Provably Efficient Reinforcement Learning. - Liangyu Zhang; Yang Peng; Wenhao Yang; Zhihua Zhang 004 (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Nonintrusive Industrial Load Monitoring Considering Load Power Characteristics and Timing Correlation. - Yi Zhang; Jintao Chen; Chuandong Li; Liangyu Zhang; Shouquan Sun (IEEE Trans. Instrum. Meas., 2025)

Finite Sample Analysis of Distributional TD Learning with Linear Function Approximation. - Yang Peng; Kaicheng Jin; Liangyu Zhang; Zhihua Zhang (CoRR, 2025)