A Federated Deep Reinforcement Learning-based Approach to Secure Resource Allocation in Power Communication Networks. - Zhengxiong Mao; Hang Zhang; Hui Li; Zuyuan Huang; Yuan Tian; Xiaoping Zhao (AIIPCC, 2022)

Knowledge Graph-Based Approach to Unstructured Multi-Source Data Fusion. - Zhengxiong Mao; Tao Chuan; Jing Zhou; Wenwei Su; Yingjun He; Donghui Mei; Chenglin Li (CAIBDA, 2023)

Communication-Efficient Federated Learning for Power Load Forecasting in Electric IoTs. - Zhengxiong Mao; Hui Li; Zuyuan Huang; Chuanxu Yang; Yanan Li; Zihao Zhou (IEEE Access, 2023)

Full Data-Processing Power Load Forecasting Based on Vertical Federated Learning. - Zhengxiong Mao; Hui Li; Zuyuan Huang; Yuan Tian; Peng Zhao 001; Yanan Li 004 (J. Electr. Comput. Eng., 2023)

Generation of Smoke Dataset for Power Equipment and Study of Image Semantic Segmentation. - Rong Chang 002; Zhengxiong Mao; Jian Hu; Haicheng Bai; Anning Pan; Yang Yang 032; Shan Gao (J. Electr. Comput. Eng., 2024)