Zejian Zhou

23 papers B 2C 1Journal 10Unranked 9
YearRankTypeTitle / Venue / Authors
2025 J jnl
Energy-Efficient Deep Reinforcement Learning with Spiking Transformers.
CoRR
Mohammad Irfan Uddin, Nishad Tasnim, Md Omor Faruk, Zejian Zhou
2025 J jnl
Sensory Substitution Device for Time Presentation: Spatial-Temporal Vibrotactile Encoding for Presenting Time on the Human Wrist.
IEEE Access
Naqash Afzal, Irfan Hussain, Zejian Zhou, Domenico Prattichizzo, Lakmal D. Seneviratne, Yuru Zhang, Dangxiao Wang
2024 B conf
Decentralized Multi-agent Reinforcement Learning for Large-scale Mobile Wireless Sensor Network Control Using Mean Field Games.
ICCCN
Zejian Zhou, Lijun Qian, Hao Xu
2023 J jnl
MateJam: Multi-Material Teeth-Clutching Layer Jamming Actuation for Soft Haptic Glove.
IEEE Trans. Haptics
Ziqi Wang, Xiangjie Zhou, Zejian Zhou, Yan Zhang, Yuru Zhang, Dangxiao Wang
2022 J jnl
A Novel Mean-Field-Game-Type Optimal Control for Very Large-Scale Multiagent Systems.
IEEE Trans. Cybern.
Zejian Zhou, Hao Xu
2022 J jnl
Decentralized optimal large scale multi-player pursuit-evasion strategies: A mean field game approach with reinforcement learning.
Neurocomputing
Zejian Zhou, Hao Xu
2022 J jnl
Large-Scale Multiagent System Tracking Control Using Mean Field Games.
IEEE Trans. Neural Networks Learn. Syst.
Zejian Zhou, Hao Xu
2021 J jnl
A Novel Transfer Learning-Based Intelligent Nonintrusive Load-Monitoring With Limited Measurements.
IEEE Trans. Instrum. Meas.
Zejian Zhou, Yingmeng Xiang, Hao Xu, Zhehan Yi, Di Shi, Zhiwei Wang
2021 J jnl
Decentralized Adaptive Optimal Tracking Control for Massive Autonomous Vehicle Systems With Heterogeneous Dynamics: A Stackelberg Game.
IEEE Trans. Neural Networks Learn. Syst.
Zejian Zhou, Hao Xu
2021 — conf
Decentralized Optimal Multi-agent System Tracking Control Using Mean Field Games with Heterogeneous Agent.
CCTA
Zejian Zhou, Hao Xu
2021 — conf
Decentralized Optimal Tracking Control for Large-scale Multi-Agent Systems under Complex Environment: A Constrained Mean Field Game with Reinforcement Learning Approach.
CCTA
Zejian Zhou, Hao Xu
2021 — —
Large-scale Multi-agent Decision-making Using Mean Field Game Theory and Reinforcement Learning.
Zejian Zhou
2021 B conf
Reinforcement Learning-based Decentralized Optimal Control for Large-Scale Multi-agent System by Using Neural Networks and Discrete-time Mean Field Games.
IJCNN
Zejian Zhou, Yuzhu Zhang, Hao Xu
2021 J jnl
Self-organizing probability neural network-based intelligent non-intrusive load monitoring with applications to low-cost residential measuring devices.
Trans. Inst. Meas. Control
Zejian Zhou, Yingmeng Xiang, Hao Xu, Yishen Wang, Di Shi, Zhiwei Wang
2020 — conf
Biologically Inspired Decentralized Adaptive Optimal Tracking Control For Large Scale Multi-Agent Systems with Input Constraint.
ICCA
Zejian Zhou, Hao Xu
2020 C conf
Mean Field Game and Decentralized Intelligent Adaptive Pursuit Evasion Strategy for Massive Multi-Agent System under Uncertain Environment.
ACC
Zejian Zhou, Hao Xu
2020 J jnl
Mean Field Game and Decentralized Intelligent Adaptive Pursuit Evasion Strategy for Massive Multi-Agent System under Uncertain Environment.
CoRR
Zejian Zhou, Hao Xu
2019 — conf
Decentralized Adaptive Optimal Control for Massive Multi-agent Systems Using Mean Field Game with Self-Organizing Neural Networks.
CDC
Zejian Zhou, Hao Xu
2019 — conf
Decentralized Adaptive Optimal Tracking Control for Massive Multi-Agent Systems with Input Constraint.
SSCI
Zejian Zhou, Hao Xu
2019 — conf
Decentralized Adaptive Optimal Tracking Control for Massive Multi-agent Systems: An Actor-Critic-Mass Algorithm.
CDC
Zejian Zhou, Hao Xu
2019 — conf
Deep Reinforcement Learning Based Intelligent Decision Making for Two-player Sequential Game with Uncertain Irrational Player.
SSCI
Zejian Zhou, Hao Xu
2019 — conf
Intelligent Decentralized Dynamic Power Allocation in MANET at Tactical Edge based on Mean-Field Game Theory.
MILCOM
Zejian Zhou, Lijun Qian, Hao Xu
2018 — conf
Switching Deep Reinforcement Learning based Intelligent Online Decision Making for Autonomous Systems under Uncertain Environment.
SSCI
Zejian Zhou, Hao Xu