施一帆 讲师  

   华南理工大学

   研究方向：机器学习，无监督学习，聚类集成，宽度学习

   所属部门：物联网工程系

   电子邮件：shiyifan@hqu.edu.cn

个人简历：

1、个人简介

本人长期从事机器学习、无监督学习、聚类集成和宽度学习等相关研究工作，已发表SCI论文4篇，EI论文2篇，其中包括IEEE Transactions系列国际顶级期刊（SCI-TOP，SCI-1区）论文3篇，授权发明专利1项。曾担任IEEE Transactions on Industrial Informatics、IEEE Transactions on Cybernetics、IEEE Transactions on Systems, Man, and Cybernetics: Systems等国际期刊审稿人。

2、主讲课程

《数据科学与大数据技术导论》

3、科研项目

[1]银河6163官方网站高层次人才科研启动费项目，面向复杂大数据的聚类集成研究，21BS128，2021-10-31至2024-11-01。

4、代表性论著

[1] Yifan Shi, Zhiwen Yu*, C. L. Philip Chen, Jane You, Hau-San Wong, Yide Wang and Jun Zhang, Transfer Clustering Ensemble Selection, IEEE Transactions on Cybernetics, 2020, 50(6): 2872-2885. (SCI-TOP, SCI-1区, 影响因子11.448)

[2] Yifan Shi, Zhiwen Yu*, Wenming Cao, C. L. Philip Chen, Hau-San Wong and Guoqiang Han, Fast and Effective Active Clustering Ensemble Based on Density Peak. IEEE Transactions on Neural Networks and Learning Systems, 2021, 32(8): 3593-3607. (SCI-TOP, SCI-1区, 影响因子10.451)

[3] Kaixiang Yang, Yifan Shi*, Zhiwen Yu, Qinmin Yang, Arun Kumar Sangaiah and Huanqiang Zeng, Stacked One-Class Broad Learning System for Intrusion Detection in Industry 4.0. IEEE Transactions on Industrial Informatics, 2022. Doi: 10.1109/TII.2022.3157727. (Early Access, SCI-TOP, SCI-1区, 影响因子10.215)

[4] Xibin Dong, Zhiwen Yu*, Wenming Cao, Yifan Shi and Qianli Ma, A Survey on Ensemble Learning. Frontiers of Computer Science, 2020, 14(2): 241-258. (SCI-2区, 影响因子2.061, 高被引)

[5] Zhihao Li, Zhiwen Yu, Kaixiang Yang*, Yifan Shi, Yuhong Xu, C.L. Philip Chen, Local Tangent Generative Adversarial Network for Imbalanced Data Classification, International Joint Conference on Neural Networks, 2021. (EI, CCF-C类)

5、发明专利

[1] 余志文, 麦文军, 张乙东, 郭丽娟, 郑洁纯, 施一帆. 一种基于特征交叉联合深度神经网络的广告推荐方法. 中国：ZL 201810433774.1, 2020-5-12.

6、学术兼职

无

7、奖励与荣誉

[1] 余志文, 陈俊龙, 马千里, 杨楷翔, 施一帆. 面向高维数据的集成学习算法, 中国计算机学会（CCF）科学技术奖自然科学二等奖, 2021.