闫贺，男，南京林业大学信息科学技术学院、人工智能学院，工学博士、硕士生导师。博士毕业于南京理工大学，2019-2021年赴加拿大阿尔伯塔大学，电气与计算机工程系，公派联合培养。近年来在IEEE Transactions ITS、Pattern Recognition、Information Sciences、Machine Learning、Future Generation Computer Systems、Applied Mathematical Modelling等期刊发表学术论文十余篇，获得国家发明专利5项。担任IEEE T-ITS、IEEE TKDE、IEEE TNNLS、Pattern Recognition等期刊审稿人。

主持国家自然科学基金-青年项目1项、江苏省卓越博士后计划项目1项，参与国家重点研发计划政府间国际科技创新合作重点专项项目2项，国家自然科学基金-面上项目1项。

欢迎对相关研究方向感兴趣的同学与我联系（yanhe@njfu.edu.cn）。

部分研究成果：

[1] He Yan, Yong Qi, Dong-Jun Yu, et al. Robust least squares twin support vector regression with adaptive FOA and PSO for short-term traffic flow prediction [J]. IEEE Transactions on Intelligent Transportation Systems, 2022, 23 (9): 14542-14556.

[2] He Yan, Yong Qi, Dong-Jun Yu, et al. Robust distance metric optimization driven GEPSVM classifier for pattern classification [J]. Pattern Recognition, 2022, 129: 1-14.

[3] He Yan, Xia Yuan, Dong-Jun Yu, et al. Least squares twin bounded support vector machines based on L₁-norm distance metric for classification [J]. Pattern Recognition, 2018, 74: 434-447.

[4] He Yan, Dong-Jun Yu, Yong Qi, et al. Robust GEPSVM classifier: An efficient iterative optimization framework [J]. Information Sciences, 2023: 1-26.

[5] He Yan, Yong Qi, Dong-Jun Yu, et al. Robust ensemble method for short-term traffic flow prediction [J]. Future Generation Computer Systems, 2022, 133: 395-410.

[6] He Yan, Yong Qi, Dong-Jun Yu, et al. Short-term traffic flow prediction based on a hybrid optimization algorithm [J]. Applied Mathematical Modelling, 2021, 102: 385-404.

[7] He Yan, Dong-Jun Yu, Yong Qi, et al. Robust generalized canonical correlation analysis [J]. Applied Intelligence, 2023, 53: 21140-21155.

[8] He Yan, Dong-Jun Yu, et al. Efficient and robust TWSVM classification via a minimum L₁-norm distance metric criterion [J]. Machine Learning, 2019, 108 (6): 993-1018.

1. 国家自然科学基金，青年项目，主持，2024

2. 江苏省卓越博士后计划项目，主持，2023

3. 国家重点研发计划政府间国际科技创新合作重点专项项目，参与，2019

4. 国家自然科学基金，面上项目，参与，2024