Binrong Wu

11 papers Journal 11
YearRankTypeTitle / Venue / Authors
2026 J jnl
A Comprehensive Review for Agricultural Product Prices Forecasting: Architectural Diversity and Open Challenges.
Expert Syst. J. Knowl. Eng.
Binrong Wu, Jing Wang, Qilei Li, Deqian Fu, Lin Wang
2025 J jnl
A novel data-driven model for explainable hog price forecasting.
Appl. Intell.
Binrong Wu, Huanze Zeng, Huanling Hu, Lin Wang
2025 J jnl
Agricultural futures prices combination forecasting with whole-process interpretable method.
Appl. Soft Comput.
Binrong Wu, Ruiyu Gao, Xuerui Wang, Huanze Zeng
2025 J jnl
End-to-end multidimensional interpretable tourism demand combined forecasting model based on feature fusion.
Appl. Intell.
Binrong Wu, Jiacheng Lin, Sheng-Xiang Lv, Lin Wang
2024 J jnl
Interpretable Tourism Demand Forecasting with Two-Stage Decomposition and Temporal Fusion Transformers.
J. Syst. Sci. Complex.
Binrong Wu, Lin Wang, Yu-Rong Zeng
2024 J jnl
Interpretable short-term carbon dioxide emissions forecasting based on flexible two-stage decomposition and temporal fusion transformers.
Appl. Soft Comput.
Binrong Wu, Huanze Zeng, Zhongrui Wang, Lin Wang
2023 J jnl
A resource-efficient ECG diagnosis model for mobile health devices.
Inf. Sci.
Rui Tao, Lin Wang, Binrong Wu
2023 J jnl
Forecasting oil consumption with attention-based IndRNN optimized by adaptive differential evolution.
Appl. Intell.
Binrong Wu, Lin Wang, Sheng-Xiang Lv, Yu-Rong Zeng
2023 J jnl
Interpretable tourism demand forecasting with temporal fusion transformers amid COVID-19.
Appl. Intell.
Binrong Wu, Lin Wang, Yu-Rong Zeng
2023 J jnl
Interpretable tourism volume forecasting with multivariate time series under the impact of COVID-19.
Neural Comput. Appl.
Binrong Wu, Lin Wang, Rui Tao, Yu-Rong Zeng
2020 J jnl
Forecasting Monthly Tourism Demand Using Enhanced Backpropagation Neural Network.
Neural Process. Lett.
Lin Wang, Binrong Wu, Qing Zhu, Yu-Rong Zeng