姓名：王帅

专业技术职务：讲师

任导师情况：硕士生导师

电子邮箱：vvs09061513@163.com

研究方向：金融风险管理；能源经济；机器学习

一、代表性学术论文(*表示通讯作者)

1. Shuai Wang, et al. Learning about tail risk: machine learning and combination with regularization in market risk management. Omega-International Journal of Management Science, 2024:103249.（SSCI一区TOP，ABS3*，IF=6.9，校A1类）

2. 王帅，王建州. 基于复杂多维场景生成的M-CVaR-高阶矩投资组合研究.统计研究, 2024,41(12):136-150（CSSCI，校A1类）

3. Jianzhou Wang, Shuai Wang*, Bo Zeng, et al. A novel ensemble probabilistic forecasting system for uncertainty in wind speed. Applied Energy, 2022,313:118796.（SCI一区TOP，ESI高被引论文，IF=12.2，校A1类）

4. Dongxue Zhang, Shuai Wang*, et al. A novel combined model for probabilistic load forecasting based on deep learning and improved optimizer. Energy, 2023,264:126172.（SCI一区TOP，IF=10.1，校A2类）

5. Jianzhou Wang, Shuai Wang*, et al. Forecasting VaR and ES by using deep quantile regression, GANs-based scenario generation, and heterogeneous market hypothesis. Financial Innovation, 2024,10(1):36.（SSCI一区TOP，FMS-B，IF=6.4，校B类）

6. Jianzhou Wang, Shuai Wang*, et al. Wind speed deterministic forecasting and probabilistic interval forecasting approach based on deep learning, modified tunicate swarm algorithm, and quantile regression. Renewable Energy, 2021,179:1246-1261.（SCI一区TOP，IF=9.1，校A2类）

7. Shuai Wang, et al. A novel combined model for wind speed prediction–Combination of linear model, shallow neural networks, and deep learning approaches. Energy,2021,234:121275.（SCI一区TOP，IF=10.1，校A2类）

二、科研项目

主持中国博士后科学基金面上项目、山东省自然科学基金青年项目。

参与国家社会科学基金重大项目、国家自然科学基金面上项目。

三、招生说明

欢迎对金融风险管理、能源经济、机器学习等方向感兴趣的同学（本科、硕士），共同开展科学研究。