Research and application of local perceptron neural network in highway rectifier for time series forecasting. - Yunxuan Dong; Jianzhou Wang; Zhen-hai Guo (Appl. Soft Comput., 2018)

A novel sub-models selection algorithm based on max-relevance and min-redundancy neighborhood mutual information. - Ling Xiao; Chen Wang; Yunxuan Dong; Jianzhou Wang (Inf. Sci., 2019)

An estimating combination method for interval forecasting of electrical load time series. - Xuejiao Ma; Yunxuan Dong (Expert Syst. Appl., 2020)

A Spatial-temporal Model for Tourism Demand Forecasting. - Yunxuan Dong; Binggui Zhou; Guanghua Yang; Fen Hou; Shaodan Ma (HPCC/DSS/SmartCity/DependSys, 2021)

Electrical load forecasting: A deep learning approach based on K-nearest neighbors. - Yunxuan Dong; Xuejiao Ma; Tonglin Fu (Appl. Soft Comput., 2021)

A Combination Model Based Deep Long Term Model for Tourism Demand Forecasting. - Yunxuan Dong; Ling Xiao (ASSE, 2022)

A graph-attention based spatial-temporal learning framework for tourism demand forecasting. - Binggui Zhou; Yunxuan Dong; Guanghua Yang; Fen Hou; Zheng Hu 001; Suxiu Xu; Shaodan Ma (Knowl. Based Syst., 2023)

A time series attention mechanism based model for tourism demand forecasting. - Yunxuan Dong; Ling Xiao; Jiasheng Wang; Jujie Wang (Inf. Sci., 2023)

A novel model for tourism demand forecasting with spatial-temporal feature enhancement and image-driven method. - Yunxuan Dong; Binggui Zhou; Guanghua Yang; Fen Hou; Zheng Hu 001; Shaodan Ma (Neurocomputing, 2023)

Short-Term Forecasting of Photovoltaic Power Generation Based on Entropy during the Foggy Winter. - Xuan Yang; Yunxuan Dong; Thomas Wu 001 (CoRR, 2024)

A Tidal Current Speed Forecasting Model based on Multiple Periodicity Learning. - Tengfei Cheng; Yunxuan Dong; Yangdi Huang (CoRR, 2024)

Enhancing wind power generation prediction using relevance assessment-based transfer learning. - Yunxuan Dong; Ling Xiao (Knowl. Based Syst., 2024)

A novel forecasting framework combining virtual samples and enhanced Transformer models for tourism demand forecasting. - Tingting Diao; Xinzhang Wu; Lina Yang; Ling Xiao; Yunxuan Dong (CoRR, 2025)