教育经历：
2012.08-2015.05（美国）佛罗里达州立大学 博士
2009.9-2012.06 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
2023.12-至今 西安交通大学经济与金融学院 教授
研究方向
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.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).
2.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)..
3.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).
4.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).
5.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).
6.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).
7.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).
8.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).
9. 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)
10. He Jiang, Weihua Zheng*, Liangqing Luo, Yao Dong, A two-stage minimax concave penalty based method in pruned Adaboost ensemble.Applied Soft Computing2019; 83: 105674;
11.He Jiang*, Yao Dong, Structural regularization in quadratic logistic regression model.Knowledge-Based Systems2019; 163: 842-857.（通讯作者）. (FMS C类，JCR Q1, IF: 5.101)
12.He Jiang, Sparse estimation based on square root nonconvex optimization in high dimensional data.Neurocomputing2018;282: 122-135.
13. He Jiang, Model forecasting based on two-stage feature selection procedure using orthogonal greedy algorithm.Applied Soft Computing2018; 63: 110-123.
14.He Jiang*, Yao Dong; Dimension reduction based on a penalized kernel support vector machine model.Knowledge-Based Systems2017; 138:79-90（通讯作者）. (FMS C类，JCR Q1, IF: 8.139)
15.He Jiang, A novel approach for forecasting global horizontal irradiance based on sparse quadratic RBF neural network.Energy Conversion and Management2017;152:266-280.
16.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 Management2017;142:307-321.
17.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.Energy2017;133:270-283.
18.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 Management2017;137:142-154.
19.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 Management2016;126:991-1002.
20.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 EnergyReviews2015;50:1304-1319.
21.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 Management2015;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.
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.
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
SCI期刊Frontiers in Energy Research客座主编
SCI期刊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
