江河 教授、博士生导师、 MBA导师

工作地点： 兴庆校区 南一楼 1821

邮箱：jiangsky2005@xjtu.edu.cn

教育经历：

2012.08-2015.05 （美国）佛罗里达州立大学        博士

2009.09-2012.06   兰州大学数学与统计学院           硕士

2005.09-2009.06   兰州大学数学与统计学院           学士

工作经历

2021.4-至今       西安交通大学经济与金融学院      教授

研究方向

能源经济预测理论与方法；高维数据的统计分析；深度学习与数据挖掘

科研论文：

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, http://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.

主持项目：

1.   国家自然科学基金面上项目，72371196，适应电力负荷特征挖掘的稳健概率预测与多维度评价体系研究，41万元，2024/01-2027/12，在研.

2.   国家自然科学基金青年项目，71901109，基于时空相关性的光伏功率稳健概率预测与评价体系研究，19万元，2020/01-2022/12, 已结题. 结题绩效评估为优秀

3.   国家自然科学基金地区项目，71861012，光伏并网发电系统中的短期功率预测与储能容量优化配置研究，29万元，2019/01-2022/12， 已结题. 结题绩效评估为优秀

4.   江西省“双千计划”科技创新高端人才项目，基于不确定性特征挖掘的光伏功率在线概率预测研究， 100万元，2020/01-2022/12, 已结题.

5.   江西省杰出青年基金项目，20212ACB211003，适应光伏功率不确定性的在线概率预测研究， 20万元，2021/01-2023/12, 已结题.

6.   第11批中国博士后特别资助，2018T110654，基于特征选取的短期光伏功率预测与储能容量优化研究，15万元，2019/01-2020/12，已结题.

7.   第62批中国博士后科学基金面上资助一等资助，2017M620277，适应复杂天气的光伏发电短期功率预测研究，8万元，2018/01-2019/12，已结题.

学术兼职：

• 中国双法研究会能源经济与管理研究分会理事

• Frontiers in Energy Research 客座主编

• Data Science and Management （DSM）青年编委

• 担任 Journal of the American Statistics Association (JASA), Statistica Sinica, European Journal of Operational Research, Energy Economics, 系统工程理论与实践，Computers and Electronics Agriculture, Information Sciences, Measurement the Journal of the International Measurement Confederation, Neurcomputing, Energy , Energy conversion and management, Technological Forecasting & Social Change, Journal of forecasting, Journal of cleaner production, Knowledge based Systems, Resources Policy, Expert system with application等期刊的审稿人