主要论文
1.Yao Dong, Kai Liu*, He Jiang, Yawei Dong, Jianzhou Wang, Power load forecasting using deep learning and reinforcement learning. Information Sciences. 2025, 122523. （FMS B类，CCF B类）
2. Yao Dong, He Jiang*, Sheng Pan, Jianzhou Wang. Graph-constrained quantile regression: unifying structured regularization and robust modeling for enhanced accuracy and interpretability. Information Sciences. 2025, 122530（通讯作者）.(FMS B类, CCF B类).
3.He Jiang, Yawei Dong*, Shaolong Sun, Shouyang Wang. How Uncertain are Oil Prices? Bayesian Regularized Distribution Neural Network for Forecasting Oil Prices. Applied Economics, 2025, //doi.org/10.1080/00036846.2025.2468937
4.He Jiang*, Xuxilu Zhang, Yao Dong, Jianzhou Wang. Data-Driven Predictive Modeling of Citywide Crowd Flow for Urban Safety Management. Journal of Forecasting. 2025,44（2），730-752. (SSCI一区，FMS C类, ABS二星) （通讯作者）.
5. He Jiang, Yawei Dong*,Yao Dong, Jianzhou Wang. Probabilistic electricity price forecasting by integrating interpretable model. Technological Forecasting and Social Change. 2025,210,123846. (SSCI 一区，FMS B类，ABS 三星， IF：12.9，top期刊)
6. He Jiang, Yawei Dong*,Yao Dong, Jianzhou Wang. Power load forecasting based on spatial-temporal fusion graph convolution network . Technological Forecasting and Social Change. 2024,204,123435. (SSCI 一区，FMS B类，ABS 三星， IF：12.9，top期刊)
7. He Jiang, Ye Yang*, Qiuying Wan, Yao Dong, Feature selection based on Dynamic Crow Search Algorithm for High-dimensional Data Classification. Expert System with Applications. 2024, 250,123871. (SCI一区，IF 8.5 top期刊).
8. Shaolong Sun, Yawei Dong, He Jiang*, Shouyang Wang. A novel Multistep Ahead PM2.5 Forecasting Approach using Spatial-Temporal Attention Network. IEEE Transactions on Industrial Informatics. 2024.20（7）,9761-9770（通讯作者）(SCI一区, IF:12.3, top期刊).
9. Yao Dong, He Jiang*, Yunting Guo, Jianzhou Wang. A novel crude oil price forecasting model using decomposition and deep learning networks. Engineering Applications of Artificial Intelligence. 2024,133，108111. （通讯作者）(SCI 一区, IF:8.0, top 期刊). （通讯作者）
10. He Jiang*, Yao Dong, Jianzhou Wang, Electricity price forecasting using quantile regression averaging with nonconvex regularization. Journal of Forecasting, 2024. 43（6）,1859-1879（通讯作者）(SSCI一区，FMS C类, ABS二星). （通讯作者）
11. He Jiang*, Sheng Pan, Yao Dong, Jianzhou Wang. Probabilistic electricity price forecasting based on penalized temporal fusion transformer. Journal of Forecasting, 2024. 43（5）, 1465-1491.（通讯作者）(SSCI一区，FMS C类, ABS二星).
12. He Jiang*. Forecasting global solar radiation using a robust regularization approach with mixture kernels. Journal of Forecasting, 2023, 42（8）,1989-2010. （通讯作者）(FMS C类, ABS二星).
13. He Jiang*. Robust forecasting in spatial autoregressive model with total variation regularization. Journal of Forecasting, 2023, 43（2）, 195-211. (FMS C类, ABS二星).
14. He Jiang, Weiqiang Hu*, Ling Xiao, Yao Dong, A decomposition ensemble based deep learning approach for crude oil price forecasting, Resources Policy,78,2022, 102855. (FMS C类, ABS 二星).
15. He Jiang*. A novel robust structural quadratic forecasting model and applications. Journal of Forecasting, 2022, 41（6）,1156-1180. (FMS C类, ABS二星).
16. He Jiang, Weihua Zheng*, Deep learning with regularized robust long and short-term memory network for probabilistic short-term load forecasting. Journal of Forecasting, 2022, 41（6）,1047-1313. (FMS C类, ABS二星).
17. He Jiang*, Weihua Zheng, Yao Dong. Sparse and robust estimation with ridge minimax concave penalty. Information Sciences, 2021;571: 154-174（通讯作者） (FMS B类，CCF B类，JCR Q1，top期刊).
18. He Jiang, Changqi Tao*, Yao Dong, Ren Xiong. Robust Low-rank Multiple Kernel Learning with Compound Regularization. European Journal of Operational Research, 2021;295（2），634-647. (FMS A类，ABS四星，管理学top期刊).
19. He Jiang, Shihua Luo*, Yao Dong. Simultaneous feature selection and clustering based on square root optimization. European Journal of Operational Research, 2021; 289（1）: 214-231. (FMS A类，ABS四星，管理学top期刊).
20. Yiyuan She*, Zhifeng Wang, He Jiang. Group regularized estimation under structural hierarchy. Journal of the American Statistical Association (JASA). 2018; 113 (521); 445-454. (FMS A类，统计学 top期刊, IF:2.123)
21. He Jiang, Weihua Zheng*, Liangqing Luo, Yao Dong, A two-stage minimax concave penalty based method in pruned Adaboost ensemble. Applied Soft Computing 2019; 83: 105674;
22. He Jiang*, Yao Dong, Structural regularization in quadratic logistic regression model. Knowledge-Based Systems 2019; 163: 842-857.（通讯作者）. (FMS C类，JCR Q1, IF: 5.101)
23. He Jiang, Sparse estimation based on square root nonconvex optimization in high dimensional data. Neurocomputing 2018;282: 122-135.
24. He Jiang, Model forecasting based on two-stage feature selection procedure using orthogonal greedy algorithm. Applied Soft Computing 2018; 63: 110-123.
25. He Jiang*, Yao Dong; Dimension reduction based on a penalized kernel support vector machine model. Knowledge-Based Systems 2017; 138:79-90 （通讯作者）. (FMS C类，JCR Q1, IF: 8.139)
26. He Jiang, A novel approach for forecasting global horizontal irradiance based on sparse quadratic RBF neural network. Energy Conversion and Management 2017;152:266-280.
27. He Jiang, Yao Dong*, Forecast of hourly global horizontal irradiance based on Structured Kernel Support Vector Machine: A case study of Tibet area in China. Energy Conversion and Management 2017;142:307-321.
28. He Jiang, Yao Dong*, Global horizontal radiation forecast using forward regression on a quadratic kernel support vector machine: Case study of the Tibet Autonomous Region in China. Energy 2017;133:270-283.
29. He Jiang, Yao Dong*, Ling Xiao. A multi-stage intelligent approach based on an ensemble of two-way Interaction Model for forecasting the global horizontal radiation of India. Energy Conversion and Management 2017;137:142-154.
30. He Jiang, Yao Dong*. A nonlinear support vector machine model with hard penalty function based on glowworm swarm optimization for forecasting daily global solar radiation. Energy Conversion and Management 2016;126:991-1002.
31. He Jiang, Jianzhou Wang*, Yao Dong, Haiyan Lu. Comprehensive assessment of wind resources and low-carbon economy policies: An empirical study in Alxa and Xilin Gol League of Inner Mongolia, China. Renewable & Sustainable Energy Reviews 2015;50:1304-1319.
32. He Jiang, Yao Dong, Jianzhou Wang, Quqin Li. Haiyan Lu. Intelligent optimization models based on hard-ridge penalty and RBF for forecasting global solar radiation. Energy Conversion and Management 2015;95:42-58.
