个人简介
杨强,南京信息工程大学副教授(校聘教授),南京信息工程大学龙山学者,硕士生导师;分别于2014年和2019年在中山大学信息科学与工程学院和数据科学与计算机学院获得硕士和博士学位;主要从事计算智能算法及其应用研究,累计发表学术论文80余篇,其中在人工智能领域的国际顶级期刊IEEE Transactions系列期刊发表论文10余篇,累计Google Scholar引用2400余次,1篇论文入选ESI高被引论文,1篇论文获评IEEE SMC2022(CCF C类会议)最佳学生论文提名奖,1篇论文获评IEEE ICACI2023(计算智能领域旗舰会议)最佳论文奖;1篇论文获评IEEE MiTA2024(计算智能领域旗舰会议)最佳论文奖;授权发明专利8项,实用新型专利1项,软件著作权7项;2020年入选江苏省双创博士计划,2022年获评校五四青年奖章,2023年获评校首批十大青年科技之星,2024年入选江苏省第七期“333工程”第三层次人才计划,主持国家自然科学基金项目1项,江苏省自然科学基金项目1项,江苏省高等学校自然科学基金面上项目1项。
关于本人的详细信息,欢迎大家访问我的个人主页https://mmmyq2.wixsite.com/qiangyang
本人每年招收至多5名学术/工程硕士,具体要求请查看我们的GSR招生计划主页https://mmmyq2.wixsite.com/qiangyang/gsr,欢迎有意向的同学联系。
本人长期面向本科生(特别是大二及以上的本科生)招收想从事人工智能方面研究的团队成员,具体要求请查看我们的USR招生计划主页https://mmmyq2.wixsite.com/qiangyang/usr,欢迎有意向的同学联系。
代表性论文:(全部论文请参见https://mmmyq2.wixsite.com/qiangyang/publications)(*代表通讯作者)
Qiang Yang, Zhuo-Yin Qiao (Graduate Student), Pei-Lan Xu, Xin Lin, Xu-Dong Gao, Zi-Jia Wang, Zhen-Yu Lu, Sang-Woon Jeon, and Jun Zhang, "Triple Competitive Differential Evolution for Global Numerical Optimization", Swarm and Evolutionary Computations, vol. 84, p. 101450, 2024.
Qiang Yang*, Gong-Wei Song (Graduate Student), Wei-Neng Chen, Ya-Hui Jia, Xu-Dong Gao, Zhen-Yu Lu, Sang-Woon Jeon, and Jun Zhang, "Random Contrastive Interaction for Particle Swarm Optimization in High-Dimensional Environment", IEEE Transactions on Evolutionary Computation, vol. 28, no. 4, pp. 933-949, 2024.
Qiang Yang*, Jia-Wei Ji (Graduate Student), Xin Lin, Xiao-Min Hu, Xu-Dong Gao, Pei-Lan Xu, Hong Zhao, Zhen-Yu Lu, Sang-Woon Jeon, and Jun Zhang, "Bi-Directional Ensemble Differential Evolution for Global Optimization", Expert System with Applications, vol. 252(B), p. 124245, 2024.
En Zhang, Zi-Hao Nie (Graduate Student), Qiang Yang*, Yiqiao Wang, Dong Liu, Sang-Woon Jeon, and Jun Zhang, "Heterogeneous Cognitive Learning Particle Swarm Optimization for Large-Scale Optimization Problems", Information Sciences, vol. 633, pp. 321-342, 2023.
Junna Zhang, De-Gang Chen (Graduate Student), Qiang Yang*, Yiqiao Wang, Dong Liu, Sang-Woon Jeon, and Jun Zhang, "Proximity Ranking-Based Multimodal Differential Evolution", Swarm and Evolutionary Computation, vol. 78, p. 101277, 2023.
Dong Liu, Hao He (Graduate Student), Qiang Yang*, Yiqiao Wang, Sang-Woon Jeon, and Jun Zhang, "Function Value Ranking Aware Differential Evolution for Global Numerical Optimization", Swarm and Evolutionary Computation, vol. 78, p. 101282, 2023.
Qiang Yang*, Gong-Wei Song (Graduate Student), Xu-Dong Gao, Zhen-Yu Lu, Sang-Woon Jeon, and Jun Zhang, “A Random Elite Ensemble Learning Swarm Optimizer for Large-Scale Optimization”, Complex & Intelligent System, vol. 9, no. 5, pp. 5467-5500, 2023.
Qiang Yang*, Jia-Qi Yan (Undergraduate Student), Xu-Dong Gao, Dong-Dong Xu, Zhen-Yu Lu, and Jun Zhang, "Random Neighbor Elite Guided Differential Evolution for Global Numerical Optimization", Information Sciences, vol. 607, pp. 1408-1438, 2022.
Zhen-Yu Lu, Shao-Yang Liang (Graduate Student), Qiang Yang*, and Bo Du, “Evolving Block-Based Convolutional Neural Network for Hyperspectral Image Classification”, IEEE Transactions on Geoscience and Remote Sensing, vol. 60: 5525921, pp. 1-21, 2022.
Qiang Yang, Wei-Neng Chen, Tianlong Gu, Hu Jin, Wentao Mao, and Jun Zhang. "An Adaptive Stochastic Dominant Learning Swarm Optimizer for High Dimensional Optimization", IEEE Transactions on Cybernetics, vol. 52, no. 3, pp. 1960-1976, 2022.
Feng-Feng Wei, Wei-Neng Chen*, Qiang Yang*, Jeremiah Da Deng, Xiao-Nan Luo, Hu Jin and Jun Zhang. "A Classifier-Assisted Level-Based Learning Swarm Optimizer for Expensive Optimization", IEEE Transactions on Evolutionary Computation, vol. 25, no. 2, pp. 219-233, 2021.
Qiang Yang, Wei-Neng Chen, Tianlong Gu, Huaxiang Zhang, Sam Kwong, and Jun Zhang. "A Distributed Swarm Optimizer with Adaptive Communication for Large Scale Optimization", IEEE Transactions on Cybernetics, vol. 50, no. 7, pp. 3393-3408, 2020.
Qiang Yang, Wei-Neng Chen, Jeremiah Da Deng, Yun Li, Tianlong Gu, and Jun Zhang. "A Level-based Learning Swarm Optimizer for Large Scale Optimization", IEEE Transactions on Evolutionary Computation, vol. 22, no. 4, pp. 578-594, 2018.
Qiang Yang, Wei-Neng Chen, Tianlong Gu, Huaxiang Zhang, Jeremiah D. Deng, Yun Li, and Jun Zhang. "Segment-based Predominant Learning Swarm Optimizer for Large Scale Optimization", IEEE Transactions on Cybernetics, vol. 47, no. 9, pp. 2896-2910, 2017.
Qiang Yang, Wei-Neng Chen, Zhengtao Yu, Tianlong Gu, Yun Li, Huaxiang Zhang, and Jun Zhang. "Adaptive Multimodal Continuous Ant Colony Optimization", IEEE Transactions on Evolutionary Computation, vol. 21, no. 2, pp. 191-205, 2017.
Qiang Yang, Wei-Neng Chen, Yun Li, C. L. Philip Chen, Xiang-Min Xu, and Jun Zhang. "Multimodal Estimation of Distribution Algorithms", IEEE Transactions on Cybernetics, vol. 47, no. 3, pp. 636-650, 2017.
- 研究方向
- 社会兼职
- 一直致力于人工智能、计算智能等方面的研究,围绕机器学习、信息检索、数据挖掘、进化计算在大规模环境下的有效性问题开展学术研究
- 教育经历
- 工作经历
-
2011.9-----2014.6
中山大学 | 计算机软件与理论 | 硕士研究生毕业 | 工学硕士
-
2014.9-----2019.6
中山大学 | 计算机科学与技术 | 博士研究生毕业 | 工学博士
团队成员
杨强
职务:校聘教授
主要任职:
个人信息
- 教师姓名: 杨强
- 性别: 男
- 电子邮箱: 003155@nuist.edu.cn
- 所在单位: 人工智能学院
- 职务: 校聘教授
- 办公地点:信息科技大楼A1804
- 学历: 博士研究生毕业
- 学位:工学博士学位
- 在职信息: 在岗
- 职称: 副教授
- 毕业院校:中山大学
- 学科:计算机软件与理论
计算机应用技术
其他联系方式
- 通讯/办公地址: 南京信息工程大学亚培楼W103
- 邮箱: qiang_yang@nuist.edu.cn