1. Zeng H, Chen* A. Multivariate multi-layer classifier[J]. Pattern Recognition, 2022, 131: 108896. (中科院SCI一区Top,CCF B,人工智能/模式识别领域顶级期刊)
2. Zeng H, Chen* A. Binary multi-layer classifier[J]. Information Sciences, 2021, 562: 220-239. (中科院SCI二区,CCF B,FMS B)
3. Zeng H, Wu* B, Fang H, Lin J. Interpretable wind speed forecasting through two-stage decomposition with comprehensive relative importance analysis[J]. Applied Energy, 2025, 392: 126015. (中科院SCI一区Top,能源领域权威期刊)
4. Zeng H, Shi C, Fang H, Wu* B.Interpretable multivariate wind speed forecasting using sliding masked window-based decomposition and deep autoregressive networks[J]. Energy, 2025, 341: 139395. (中科院SCI一区Top)
5. Wu B, Zeng H, Wang* Z, Wang L. Interpretable short-term carbon dioxide emissions forecasting based on flexible two-stage decomposition and temporal fusion transformers[J]. Applied Soft Computing, 2024, 159: 111639. (中科院SCI二区Top)
6. Wu B, Zeng H, Hu* H, Wang L. A novel data-driven model for explainable hog price forecasting[J]. Applied Intelligence, 2025, 55(6): 444. (中科院SCI三区,CCF C)
7. Xu R, Fang H, Zeng* H, Wu B. A novel interpretable wind speed forecasting based on the multivariate variational mode decomposition and temporal fusion transformer[J]. Energy, 2025, 331: 136497. (中科院SCI一区Top)
8. Fang H, Xu R, Zeng* H, Wu B. A novel interpretable deep learning-based wind speed and power generation forecasting using multi-scale attention and post-hoc feature importance mechanism[J]. Journal of Forecasting, 2026, 45(2): 699-732.(中科院SSCI三区,ABS 2星,FMS C,预测科学领域著名期刊)
9. Wu B, Gao R, Wang X, Zeng* H. Agricultural futures prices combination forecasting with whole-process interpretable method[J]. Applied Soft Computing, 2025, 185, 114049.(中科院SCI二区Top)
10. Lin J, Wu B, Gao R, Zeng* H Interpretable hydropower forecasting method using two-stage decomposition and its management applications[J]. Data Science and Management, 2026, 100191. DOI:10.1016/j.dsm.2026.100191.(EI期刊论文)
11. Zeng H, Chen* A. Classification tree with hybrid splitting mechanism[C]//2019 IEEE 17th International Symposium on Intelligent Systems and Informatics (SISY). IEEE, 2019: 61-66.(EI会议论文)
12. Zeng H, Wu* B, Fang H. Interpretable tree-based cascade ensemble model for breast cancer grading prediction[C]//45th International Symposium on Forecasting (ISF),2025.(预测科学领域顶级会议)