Switching Deep Reinforcement Learning based Intelligent Online Decision Making for Autonomous Systems under Uncertain Environment. - Zejian Zhou; Hao Xu 002 (SSCI, 2018)

Decentralized Adaptive Optimal Control for Massive Multi-agent Systems Using Mean Field Game with Self-Organizing Neural Networks. - Zejian Zhou; Hao Xu 002 (CDC, 2019)

Decentralized Adaptive Optimal Tracking Control for Massive Multi-agent Systems: An Actor-Critic-Mass Algorithm. - Zejian Zhou; Hao Xu 002 (CDC, 2019)

Intelligent Decentralized Dynamic Power Allocation in MANET at Tactical Edge based on Mean-Field Game Theory. - Zejian Zhou; Lijun Qian; Hao Xu 002 (MILCOM, 2019)

Decentralized Adaptive Optimal Tracking Control for Massive Multi-Agent Systems with Input Constraint. - Zejian Zhou; Hao Xu 002 (SSCI, 2019)

Deep Reinforcement Learning Based Intelligent Decision Making for Two-player Sequential Game with Uncertain Irrational Player. - Zejian Zhou; Hao Xu 002 (SSCI, 2019)

Mean Field Game and Decentralized Intelligent Adaptive Pursuit Evasion Strategy for Massive Multi-Agent System under Uncertain Environment. - Zejian Zhou; Hao Xu 002 (ACC, 2020)

Biologically Inspired Decentralized Adaptive Optimal Tracking Control For Large Scale Multi-Agent Systems with Input Constraint. - Zejian Zhou; Hao Xu 002 (ICCA, 2020)

Decentralized Optimal Multi-agent System Tracking Control Using Mean Field Games with Heterogeneous Agent. - Zejian Zhou; Hao Xu 002 (CCTA, 2021)

Decentralized Optimal Tracking Control for Large-scale Multi-Agent Systems under Complex Environment: A Constrained Mean Field Game with Reinforcement Learning Approach. - Zejian Zhou; Hao Xu 002 (CCTA, 2021)

Reinforcement Learning-based Decentralized Optimal Control for Large-Scale Multi-agent System by Using Neural Networks and Discrete-time Mean Field Games. - Zejian Zhou; Yuzhu Zhang; Hao Xu 002 (IJCNN, 2021)

A Novel Transfer Learning-Based Intelligent Nonintrusive Load-Monitoring With Limited Measurements. - Zejian Zhou; Yingmeng Xiang; Hao Xu 002; Zhehan Yi; Di Shi; Zhiwei Wang 004 (IEEE Trans. Instrum. Meas., 2021)

Self-organizing probability neural network-based intelligent non-intrusive load monitoring with applications to low-cost residential measuring devices. - Zejian Zhou; Yingmeng Xiang; Hao Xu 002; Yishen Wang; Di Shi; Zhiwei Wang 004 (Trans. Inst. Meas. Control, 2021)

Decentralized Adaptive Optimal Tracking Control for Massive Autonomous Vehicle Systems With Heterogeneous Dynamics: A Stackelberg Game. - Zejian Zhou; Hao Xu 002 (IEEE Trans. Neural Networks Learn. Syst., 2021)

Large-scale Multi-agent Decision-making Using Mean Field Game Theory and Reinforcement Learning. - Zejian Zhou (2021)

Decentralized optimal large scale multi-player pursuit-evasion strategies: A mean field game approach with reinforcement learning. - Zejian Zhou; Hao Xu 002 (Neurocomputing, 2022)

A Novel Mean-Field-Game-Type Optimal Control for Very Large-Scale Multiagent Systems. - Zejian Zhou; Hao Xu 002 (IEEE Trans. Cybern., 2022)

Large-Scale Multiagent System Tracking Control Using Mean Field Games. - Zejian Zhou; Hao Xu 002 (IEEE Trans. Neural Networks Learn. Syst., 2022)

MateJam: Multi-Material Teeth-Clutching Layer Jamming Actuation for Soft Haptic Glove. - Ziqi Wang 012; Xiangjie Zhou; Zejian Zhou; Yan Zhang; Yuru Zhang; Dangxiao Wang (IEEE Trans. Haptics, 2023)

Decentralized Multi-agent Reinforcement Learning for Large-scale Mobile Wireless Sensor Network Control Using Mean Field Games. - Zejian Zhou; Lijun Qian; Hao Xu 002 (ICCCN, 2024)

Sensory Substitution Device for Time Presentation: Spatial-Temporal Vibrotactile Encoding for Presenting Time on the Human Wrist. - Naqash Afzal; Irfan Hussain; Zejian Zhou; Domenico Prattichizzo; Lakmal D. Seneviratne; Yuru Zhang; Dangxiao Wang (IEEE Access, 2025)

Energy-Efficient Deep Reinforcement Learning with Spiking Transformers. - Mohammad Irfan Uddin; Nishad Tasnim; Md Omor Faruk; Zejian Zhou (CoRR, 2025)