Quantum weighted long short-term memory neural network and its application in state degradation trend prediction of rotating machinery. - Feng Li; Wang Xiang; Jiaxu Wang; Xueming Zhou; Baoping Tang (Neural Networks, 2018)

Quantum recurrent encoder-decoder neural network for performance trend prediction of rotating machinery. - Yong Chen; Feng Li; Jiaxu Wang; Baoping Tang; Xueming Zhou (Knowl. Based Syst., 2020)

A Novel Multi-Objective Routing Scheme based on Cooperative Multi-Agent Reinforcement Learning for Metaverse Services in Fixed 6G. - Xueming Zhou; Bomin Mao; Jiajia Liu 001 (WOCC, 2023)

Digital Twin Satellite Networks Toward 6G: Motivations, Challenges, and Future Perspectives. - Bomin Mao; Xueming Zhou; Jiajia Liu 001; Nei Kato (IEEE Netw., 2024)

On an Intelligent Hierarchical Routing Strategy for Ultra-Dense Free Space Optical Low Earth Orbit Satellite Networks. - Bomin Mao; Xueming Zhou; Jiajia Liu 001; Nei Kato (IEEE J. Sel. Areas Commun., 2024)

On a Cooperative Deep Reinforcement Learning-Based Multi-Objective Routing Strategy for Diversified 6G Metaverse Services. - Bomin Mao; Xueming Zhou; Jiajia Liu 001; Nei Kato (IEEE Trans. Veh. Technol., 2024)

Intelligent Multi-Objective Routing for Future Ultra-Dense LEO Satellite Networks. - Xueming Zhou; Yuxuan Weng; Bomin Mao; Jiajia Liu 001; Nei Kato (IEEE Wirel. Commun., 2024)

Improving Electrical Distance Accuracy for Cable Fault Location Based on the Prony Method. - Xiang Ren; Zhiqiang Feng; Kai Zhou; Xueming Zhou; Jianjun Yuan; Yefei Xu; Li Zhang 056 (IEEE Access, 2025)

1-ohm Impedance Criterion for Diagnosis of Single-Phase Ground Fault of Transmission Line. - Xueming Zhou; Xiankang Wang; Yao Yao; Zhiqiang Feng; Zixuan Hu; Jianjin Fu; Zijian Li (IEEE Access, 2025)