Forecasting Monthly Tourism Demand Using Enhanced Backpropagation Neural Network. - Lin Wang 001; Binrong Wu; Qing Zhu; Yu-Rong Zeng (Neural Process. Lett., 2020)

Forecasting oil consumption with attention-based IndRNN optimized by adaptive differential evolution. - Binrong Wu; Lin Wang 001; Sheng-Xiang Lv; Yu-Rong Zeng (Appl. Intell., 2023)

Interpretable tourism volume forecasting with multivariate time series under the impact of COVID-19. - Binrong Wu; Lin Wang 001; Rui Tao; Yu-Rong Zeng (Neural Comput. Appl., 2023)

Interpretable tourism demand forecasting with temporal fusion transformers amid COVID-19. - Binrong Wu; Lin Wang 001; Yu-Rong Zeng (Appl. Intell., 2023)

A resource-efficient ECG diagnosis model for mobile health devices. - Rui Tao; Lin Wang 001; Binrong Wu (Inf. Sci., 2023)

Interpretable short-term carbon dioxide emissions forecasting based on flexible two-stage decomposition and temporal fusion transformers. - Binrong Wu; Huanze Zeng; Zhongrui Wang; Lin Wang 001 (Appl. Soft Comput., 2024)

Interpretable Tourism Demand Forecasting with Two-Stage Decomposition and Temporal Fusion Transformers. - Binrong Wu; Lin Wang 001; Yu-Rong Zeng (J. Syst. Sci. Complex., 2024)

A novel data-driven model for explainable hog price forecasting. - Binrong Wu; Huanze Zeng; Huanling Hu; Lin Wang 001 (Appl. Intell., 2025)

End-to-end multidimensional interpretable tourism demand combined forecasting model based on feature fusion. - Binrong Wu; Jiacheng Lin; Sheng-Xiang Lv; Lin Wang 001 (Appl. Intell., 2025)