高卫峰，教授，博士生导师，国家级青年人才，省部级人才，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、香港城市大学交流访问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，兼任中国运筹学会数学规划分会理事、中国仿真学会智能仿真优化与调度专委会常务委员、陕西省工业与应用数学学会常务理事、中国人工智能学会青年工作委员会委员等。

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；获省部级自然科学一等奖（3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：

在国际主流期刊上发表学术论文70余篇，被Google Scholar引用4200余次，多篇论文入选ESI热点论文和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，包括中国工程院院士、欧洲科学院院士、发展中国家科学院院士、10余位IEEE Fellow及IEEE 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、国家部委、军工企业、华为、九洲集团等20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（西北农林科技大学）、高富豪、卫志芳（山西大学）、张露露、李宝胜、令狐嘉乐、李广响

研究生

2023级：刘鑫、孙培旭、宗梦洁、谭婉蓉、李乐乐

2022级：谭孟豪、易于轩、马捷、颜明慧、王舒琦

2021级：王琼（中电39所）、王政均（深造）、曾令元（中电36所）

2020级：黄添琪（运城事业单位）、赵心怡（杭州字节跳动）、白利霞（北京联通在线信息科技有限公司）

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：

[19] Yangfei Yuan, Weifeng Gao*, Lingling Huang, Hong Li, Jin Xie, A two-phase constraint-handling technique for constrained optimization, IEEE Transactions on Systems, Man, and Cybernetics: Systems, 53(10), 6194-6203, 2023. (IF: 13.451)

[18] Genghui Li, Zhenkun Wang, Weifeng Gao, Ling Wang, Decoupling Constraint: Task Clone-Based Multi-Tasking Optimization for Constrained Multi-Objective Optimization, IEEE Transactions on Evolutionary Computation, DOI: 10.1109/TEVC.2024.3358854. (IF:16.497)

[17] Baosheng Li, Weifeng Gao*, Jin Xie, Maoguo Gong, Ling Wang, Hong Li, Prototype-based Decentralized Federated Learning for the Heterogeneous Time-varying IoT Systems, IEEE Internet of Things Journal, 11(4), 6916 – 6927, 2024. (IF:10.6)

[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次, 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次)

[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次)

[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次)

[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次, 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次, 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次, ESI高被引论文)