Mixed Iterative Adaptive Dynamic Programming Based Sensor Scheduling for Target Tracking in Energy Harvesting Wireless Sensor Networks. - Fen Liu; Shuai Chen; Chengpeng Jiang; Wendong Xiao (ICCSIP (2), 2018)

Adaptive Dynamic Programming-Based Multi-Sensor Scheduling for Collaborative Target Tracking in Energy Harvesting Wireless Sensor Networks. - Fen Liu; Wendong Xiao; Shuai Chen; Chengpeng Jiang (Sensors, 2018)

Adaptive Dynamic Programming Based optimization Scheduling for Wireless Mobile Charging. - Chengpeng Jiang; Fen Liu; Shuai Chen; Wendong Xiao (ICCA, 2019)

Improved Deep Q-Network for User-Side Battery Energy Storage Charging and Discharging Strategy in Industrial Parks. - Shuai Chen; Chengpeng Jiang; Jinglin Li; Jinwei Xiang; Wendong Xiao (Entropy, 2021)

Multistep Prediction-Based Adaptive Dynamic Programming Sensor Scheduling Approach for Collaborative Target Tracking in Energy Harvesting Wireless Sensor Networks. - Fen Liu; Chengpeng Jiang; Wendong Xiao (IEEE Trans Autom. Sci. Eng., 2021)

Optimal Energy-Storage Configuration for Microgrids Based on SOH Estimation and Deep Q-Network. - Shuai Chen; Jinglin Li; Chengpeng Jiang; Wendong Xiao (Entropy, 2022)

Attention-Shared Multi-Agent Actor-Critic-Based Deep Reinforcement Learning Approach for Mobile Charging Dynamic Scheduling in Wireless Rechargeable Sensor Networks. - Chengpeng Jiang; Ziyang Wang; Shuai Chen; Jinglin Li; Haoran Wang; Jinwei Xiang; Wendong Xiao (Entropy, 2022)

Two-dimensional molybdenum disulfide artificial synapse with high sensitivity. - Hao Huang; Lu Liu; Chengpeng Jiang; Jiangdong Gong; Yao Ni; Zhipeng Xu; Huanhuan Wei; Haiyang Yu; Wentao Xu (Neuromorph. Comput. Eng., 2022)

An improved deep Q-network approach for charging sequence scheduling with optimal mobile charging cost and charging efficiency in wireless rechargeable sensor networks. - Chengpeng Jiang; Wencong Chen; Jing Wang; Ziyang Wang; Wendong Xiao (Ad Hoc Networks, 2024)

A deep reinforcement learning approach for online mobile charging scheduling with optimal quality of sensing coverage in wireless rechargeable sensor networks. - Jinglin Li; Haoran Wang; Chengpeng Jiang; Wendong Xiao (Ad Hoc Networks, 2024)

Deep reinforcement learning approach with hybrid action space for mobile charging in wireless rechargeable sensor networks. - Chengpeng Jiang; Wencong Chen; Xingcan Chen; Sen Zhang 001; Wendong Xiao (Expert Syst. Appl., 2024)

A bioinspired neuromuscular system enabled by flexible electro-optical N2200 nanowire synaptic transistor. - Jiahe Hu; Shangda Qu; Honghuan Xu; Lin Sun; Chengpeng Jiang; Lu Yang; Yi Du; Wentao Xu (Neuromorph. Comput. Eng., 2024)

WiPhase: A Human Activity Recognition Approach by Fusing of Reconstructed WiFi CSI Phase Features. - Xingcan Chen; Chenglin Li; Chengpeng Jiang; Wei Meng 002; Wendong Xiao (IEEE Trans. Mob. Comput., 2025)