Distributed reinforcement learning algorithm of operator service slice competition prediction based on zero-sum markov game. - Guomin Wu; Guoping Tan; Jinxin Deng; Defu Jiang (Neurocomputing, 2021)

Enhancing solar irradiance forecasting for hydrogen production: The MEMD-ALO-BiLSTM hybrid machine learning model. - Chaoyang Zhu; Mengxia Wang; Mengxing Guo; Jinxin Deng; Qipei Du; Wei Wei; Yunxiang Zhang (Comput. Electr. Eng., 2024)

Multi-Dimensional Fusion of Spectral and Polarimetric Images Followed by Pseudo-Color Algorithm Integration and Mapping in HSI Space. - Fengqi Guo; Jingping Zhu; Liqing Huang; Feng Li; Ning Zhang; Jinxin Deng; Haoxiang Li; Xiangzhe Zhang; Yuanchen Zhao; Huilin Jiang; Xun Hou (Remote. Sens., 2024)

Innovative approaches to solar energy forecasting: unveiling the power of hybrid models and machine learning algorithms for photovoltaic power optimization. - Chaoyang Zhu; Mengxia Wang; Mengxing Guo; Jinxin Deng; Qipei Du; Wei Wei; Yunxiang Zhang (J. Supercomput., 2025)

Application of Metaheuristic Algorithms with Supervised Machine Learning for Accurate Power Consumption Prediction. - Mengxia Wang; Chaoyang Zhu; Yunxiang Zhang; Jinxin Deng; Yiwei Cai; Wei Wei; Mengxing Guo (Cogn. Comput., 2025)