高卫峰

个人信息:Personal Information

教授 博士生导师 研究生导师

性别:男

毕业院校:西安电子科技大学

学历:博士研究生毕业

学位:理学博士学位

在职信息:在岗

所在单位:数学与统计学院

学科:应用数学

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个人简介:Personal Profile

高卫峰,教授,国家级青年人才,省部级高层次人才,博士生导师,分别于2008年、2013年获西安电子科技大学学士和博士学位,先后在美国俄克拉荷马州立大学、香港城市大学访问交流3年。2014年破格晋升副教授,2019年晋升教授。现任西电-九洲先进计算联合实验室主任,兼任中国人工智能学会青年工作委员会委员、中国仿真学会智能仿真优化与调度专委会委员、中国运筹学会数学规划分会委员、陕西省工业与应用数学学会常务理事等。

荣誉和奖励:

入选国家级青年人才、省部级人才、香江学者计划、陕西省高校科协青年人才托举计划;获陕西省自然科学一等奖(2次)、陕西青年科技奖(独立)、吴文俊人工智能自然科学二等奖(第一)、吴文俊人工智能优秀青年奖(独立)、中国仿真学会ISOS专委会青年科学家奖等。

科研工作:

IEEE Transactions等期刊上发表学术论文50余篇,以第一作者发表的论文被SCI他引1900余次,被Google Scholar引用3500余次,1篇一作论文入选ESI热点论文,4篇一作论文入选ESI高被引论文,3篇论文获Computers & Operations Research等期刊近5年“Most Cited Article”国际论文奖,得到了五十多个国家和地区的国际同行引用和正面评价,包括欧洲科学院院士、发展中国家科学院院士、10余位IEEE FellowIEEE Transactions系列期刊的主编和副主编等。

主持或参与国家自然基金委、军科委、装备部、空军、华为、九洲集团等十余项科研项目。

Google Scholar: https://xs.dailyheadlines.cc/citations?user=6hVUbUcAAAAJ&hl=zh-CN&oi=ao

研究方向:

计算智能、深度学习等人工智能算法

强化学习、分布式学习等机器学习方法

图像处理、目标识别

招生要求:

1. 积极主动、进取心强;

2. 有较好的数学基础、编程能力、英语水平者,录取时优先考虑。没有也无需担心,有兴趣和决心亦可;

3. 混学位的、不思进取的同学建议不要联系

组内成员:

博士生

党乾龙、高富豪、卫志芳、张露露

研究生

2021级:王琼、王政均、曾令元

2020级:黄添琪、赵心怡、白利霞

2019级:李瑜(中航618所)、徐伟(西安华为)、刘玲玲(九江银行)、程江丽(杭州海康威视)、王一鸣(天津中兴)

2018级:李川东(上海中通)、王淑芬(武汉培训机构)、原杨飞(西安中兴)

2017级:罗宇婷(西安重点中学)、卫志芳(课题组读博)

部分代表性论文:

[16] Zhifang Wei, Weifeng Gao*, Maoguo Gong, IEEE, and Gary G. Yen, A bi-objective evolutionary algorithm for multimodal multi-objective optimization, IEEE Transactions on Evolutionary Computation, DOI: 10.1109/TEVC.2022.3217258. (IF: 16.497)

[15] Zhifang Wei, Weifeng Gao*, Genghui Li, Qingfu Zhang, A penalty-based differential evolution for multimodal optimization, IEEE Transactions on Cybernetics, DOI:  10.1109/TCYB.2021.3117359, 2021. (IF: 11.448)

[14] Weifeng Gao, Zhifang Wei, Maogong Gong, Gary G. Yen, Solving expensive multimodal optimization problems by a decomposition differential evolution algorithm, IEEE Transactions on Cybernetics, DOI: 10.1109/TCYB.2021.3113575, 2021. (IF: 11.448)

[13] Weifeng Gao*, Yu Li, Solving a new test set of nonlinear equation systems by evolutionary algorithm, IEEE Transactions on Cybernetics, DOI:  10.1109/TCYB.2021.3108563, 2021. (IF: 11.448)

[12] Weifeng Gao*, Jiangli Cheng, Maoguo Gong , Hong Li, Jin Xie, Multiobjective multitasking optimization with subspace distribution alignment and decision variable transfer, IEEE Transactions on Emerging Topics in Computational Intelligence, DOI:10.1109/TETCI.2021.3115518, 2021.

[11] Genghui Li, Qingfu Zhang, Qiuzhen Lin, Weifeng Gao, A three-level radial basis function method for expensive optimization, IEEE Transactions on Cybernetics, DOI:  10.1109/TCYB.2021.3061420, 2021. (IF: 11.448)

[10] Weifeng Gao*, Genghui Li, Qingfu Zhang, YutingLuo, and Zhenkun Wang, Solving nonlinear equation systems by a two-phase evolutionary algorithm, IEEE Transactions on Systems, Man, and Cybernetics: Systems, 51(9), 5652-978, 2021. (IF: 13.451)

[9] Weifeng Gao*, Hailong Sheng, Jue Wang, and Shouyang Wang. Artificial bee colony algorithm based on novel mechanism for fuzzy portfolio selection, IEEE Transactions on Fuzzy Systems, 27(5), 966-978, 2019. (IF: 12.029)

[8] Weifeng Gao*, Sanyang Liu, Lingling Huang. A novel artificial bee colony algorithm based on modified search equation and orthogonal learning, IEEE Transactions on Cybernetics, 43 (3), 1011-1024, 2013. (IF: 11.448, 被引346, ESI高被引论文)

[7] Weifeng Gao*, Gary G. Yen, Sanyang Liu. A cluster-based differential evolution with self-adaptive strategy for multimodal optimization, IEEE Transactions on Cybernetics, 44 (4), 1314 -1327, 2014. (IF: 11.448, 被引110)

[6] Weifeng Gao*, Gary G. Yen, Sanyang Liu. A dual-population differential evolution with coevolution for constrained optimization, IEEE Transactions on Cybernetics, 45 (5), 1094-1107, 2015. (IF: 11.448, 被引85)

[5] Weifeng Gao*, Lingling Huang, Sanyang Liu, Cai Dai. Artificial bee colony algorithm based on information learning, IEEE Transactions on Cybernetics, 45(12), 2827-2839, 2015. (IF: 11.448, 被引112)

[4] Weifeng Gao*, Yiming Wang, Lingling Liu, Lingling Huang, A Gradient-Based Search Method for Multi-objective Optimization Problems, Information Sciences, 578, 129-146, 2021. (IF: 6.795)

[3] Weifeng Gao*, Sanyang Liu, Lingling Huang. A global best artificial bee colony algorithm for global optimization, Journal of Computational and Applied Mathematics, 236(11), 2741-2753, 2012. (IF: 2.621, 被引413, ESI热点论文和高被引论文)

[2] Weifeng Gao*, Sanyang Liu. A modified artificial bee colony algorithm, Computers & Operations Research, 39(3), 687-697, 2012. (IF: 4.008, 被引634, ESI高被引论文)

[1] Weifeng Gao*, Sanyang Liu. Improved artificial bee colony algorithm for global optimization, Information Processing Letters, 111(17), 871-882, 2011. (IF: 0.914, 被引382, ESI高被引论文)


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