教师主页移动版

更新日期：2021年7月7日 姓 名 詹志辉 性 别 男 出生年月 1984年2月 籍贯 广东吴川市 民 族 汉族 政治面貌 中国共产党党员 最后学历 博士研究生 最后学位 工学博士 技术职称 教授 导师类别 博、硕导 行政职务 Email zhanapollo@163.com 工作单位 华南理工大学计算机科学与工程学院 邮政编码 510006 通讯地址 大学城华工B3-515 单位电话 +8613826089486 个人主页 https://publons.com/researcher/2810486/zhi-hui-zhan 个人简介 詹志辉，博士，IEEE高级会员、ACM、CCF、CAAI会员，现任华南理工大学计算机科学与工程学院教授、博士生导师，IEEE计算智能学会杰出青年奖获得者、教育部“长江学者奖励计划”青年学者、国家优秀青年科学基金获得者、Elsevier计算机学科领域中国高被引学者入选者、国家自然科学基金委信息学部人工智能专家评审组成员、广东省首批“青年珠江学者”、广东省自然科学杰出青年科学基金获得者和广东特支高层次人才科技创新青年拔尖人才。曾获吴文俊人工智能优秀青年奖、IEEE计算智能学会（CIS）全球杰出博士学位论文奖和中国计算机学会（CCF）优秀博士学位论文奖获得者。现任广州计算机学会副理事长、ACM广州分会副主席、中国图学学会（CGN）图学大数据专业委员会副主任、中国计算机学会人工智能与模式识别专业委员会委员、中国人工智能学会（CAAI）机器学习专业委员会委员和中国自动化学会（CAA）自适应动态规划与强化学习专业委员会委员。    主要研究方向为人工智能、进化计算、群体智能、云计算和大数据。目前已在国际期刊和国际会议共发表（录用）论文150余篇，其中IEEE Transactions系列的计算机领域顶尖国际期刊论文40余篇。论文近被国际同行引用超过7000次（Google Scholar），其中包括SCI他人引用超过3000次。8篇论文入选ESI高被引论文，包括1篇ESI热点论文（2014年2月全球计算机领域ESI热点论文62篇）。获国家发明专利授权1项。    研究成果得到了国际同行的正面评价和应用推广。被包括蚁群算法创始人（Dorigo）、禁忌搜索的创始人（冯诺依曼理论奖获得者，Glover）、印度国家科学院和工程院两院院士（IEEE模糊系统先驱奖获得者，Pal）、加拿大国家首席教授（Pedrycz）、IEEE Fellow等著名学者评价为“令人鼓舞的成果（encouraging results）”；被IEEE计算智能学会作为“计算智能出版焦点”进行了推介；被航天科学家应用于罗塞塔号彗星探测器和欧-俄月神号探测器等航天器的质谱仪参数优化设计；同时也被国内外学者广泛应用于生物医学、物理光学、化工生产、图像处理、信号处理等众多领域的优化问题中，推动相关领域的发展。    詹教授担任担任国际学术期刊 IEEE Transactions on Evolutionary Computation（SCI，IF=11.554，JCR一区，进化计算领域的旗舰性顶尖国际期刊）副主编和JCR一区国际期刊Neurocomputing和Memetic Computing的编委，并获邀出任ICACI 2021、ICACI 2019的程序主席、ICICIP 2018和BIC-TA 2018的宣传主席以及ICICIP 2021、ICIST 2017和ICONIP 2018的Special Sessions主席等，AAAI 2018/2017、GECCO 2020/2017、ICSI 2016、TAAI 2015、SMCE 2015、ICSI 2015、ICSI 2014、APSCC 2014、TAAI 2014、TAEA 2013和CCDM 2014等国际/国内学术会议的程序委员会委员，是进化计算和群体智能领域权威国际会议IEEE Congress on Evolutionary Computation（CEC 2014/2016/2019）的Special Session Proposer。获邀在NCE 2019、DEOTA 2018、HCP 2018、IWIOSC 2017、BIC-TA 2016、ECOLE 2015等国内外学术会议和研讨会上作大会报告。【English】Dr. Zhi-Hui Zhan received the Bachelor’s degree and the Ph. D. degree in Computer Science from Sun Yat-Sen University (SYSU), Guangzhou, P. R. China in 2007 and in 2013, respectively. He was a Lecture with the School of Information Science and Techonlogy, SYSU, from 2013-2014, was an Associate Professor with the School of Advanced Computing, SYSU, from 2014-2015, and since 2016 is a Professor with the School of Computer Science and Engineering, South China University of Technology (SCUT).     His current research interests include particle swarm optimization, genetic algorithms, ant colony optimization, differential evolution, and other evolutionary computation algorithms and their applications. He has published over 100 papers in international journals and conference proceedings, including more than 30 IEEE Transactions papers. 1 of them is the Essential Science Indicator (ESI) Hot Paper, and 8 of them is the Essential Science Indicator (ESI) Highly Cited Paper. The “Adaptive Particle Swarm Optimization (APSO)”, the “Orthogonal Learning Particle Swarm Optimization (OLPSO)”, the “Multiple Populations for Multiple Objectives (MPMO)”, and some others are all listed as the Research Fronts of ESI. His published papers have been cited over 6000 times by the scholars all over the world, according to Google Scholar or Google Scholar (for Chinese).     Dr. Zhan’s doctoral dissertation was awarded the IEEE Computational Intelligence Society (CIS) Outstanding Ph. D. Dissertation in 2017, the China Computer Federation (CCF) Outstanding Ph. D. Dissertation in 2013, and Guangdong Province Outstanding Dissertation in 2014. He was a recipient of the Outstanding Youth Science Foundation from the National Natural Science Foundations of China (NSFC) in 2018, the Wu Wen Jun Artificial Intelligence Excellent Youth from the Chinese Association for Artificial Intelligence in 2017, and the Natural Science Foundation for Distinguished Young Scientists of Guangdong Province, China in 2014. He is the Changjiang Scholar Young Professor and the Pearl River Scholar Young Professor. Dr. Zhan is listed as one of the Elsevier Most Cited Chinese Researchers in Computer Science.     He serves as an Associate Editor of the IEEE Transactions on Evolutionary Computation (SCI, JCR-Q1, IF=8.508), the Neurocomputing (SCI, JCR-Q1, IF=3.241), and the International Journal of Swarm Intelligence Research (ESCI). He is the Lead Guest Editor of "Advances in Nature-inspired Algorithms and Applicatioins" in the International Journal of Swarm Intelligence Research. He is the regular reviewer of the journals of IEEE Transactions on Evolutionary Computation, IEEE Transactions on Cybernetics, IEEE Transactions on Industrial Electronics, IEEE Computational Intelligence Magazine, Information Sciences, Journal of Scheduling, Soft Computing, Natural Computing, Memetic Computing, and many other SCI international journals and Chinese journals. He is the Pragram Chair of The 11th International Conference on Advanced Computational Intelligence (ICACI 2019), the Speical Sessions Chair of The 7th International Conference on Information Science and Technology (ICIST 2017) and the Publicity Chair of the 9th International Conference on Intelligent Control and Information Processing (ICICIP 2018), the program committee (PC) member for GECCO 2020, ANTS 2020, SSCI 2019, SSCI 2017, AAAI 2017, ICSI 2016, TAAI 2015，SMCE 2015, ICSI 2015, BRCIS-CCI'2015, ICSI 2014, APSCC 2014, TAAI 2014, TAEA 2013, and CCML 2015, CCDM 2014/2011, the Special Session Organizer on “Brain Storm Optimization and Its Applications” of the 2014 IEEE World Congress on Computational Intelligence (WCCI 2014)，the Special Session Organizer on “Neural Networks: Model and Application in Real World Problems” and “Interactive Computational Intelligence for Industry 4.0” of WCCI 2016. 工作经历 2016年3月-现在                教授           华南理工大学2015年1月-2016年2月      副教授        中山大学2013年7月-2014年12月    讲师           中山大学Jan. 2016~Now Professor, School of Computer Science and Engineering, South China University of Technology Jan. 2015~Dec. 2015 Associate Professor, School of Advanced Computing, Sun Yat-sen University Jul. 2013~Dec. 2014 Lecturer, Department of Computer Science, Sun Yat-sen University 教育经历 2009年9月-2013年6月      中山大学      博士（硕博连读）2003年9月-2007年7月      中山大学      学士Sept. 2007~Jun. 2013 Ph. D of Computer Science, Computer Application Technology, Sun Yat-sen University Sept. 2003~Jul. 2007 Bachelor of Science, Computer Science and Technology, Sun Yat-sen University 获奖、荣誉称号 IEEE计算智能学会杰出青年奖获得者教育部长江学者奖励计划青年学者国家优秀青年科学基金获得者吴文俊人工智能优秀青年奖Elsevier中国高被引学者基金委信息学部会评专家 广东特支青年拔尖人才广东省青年珠江学者广东省杰青获得者IEEE CIS全球优博CCF优博获得者广东省优博 社会、学会及学术兼职 2017-现在        广州计算机学会                            副理事长2018-现在        IEEE广州分会学生活动委员会          主席2018-现在        ACM广州分会                               副主席2018-现在        IEEE新兴技术委员会                      委员2019-现在        中国图学学会图学大数据专业委员会   副主任2015-现在        中国计算机学会人工智能与模式识别专业委员会    委员2015-现在        中国人工智能学会机器学习专业委员会                委员2018-现在        中国自动化学会自适应动态规划与强化学习专业委员会   委员Chair, Guangzhou Computer Society 2017-NowChair, IEEE Guangzhou Section, Student Activity Committee 2018-NowVice-Chair, ACM Guangzhou Chapter 2016-NowMember, IEEE Emergent Technologies Technical Committee 2018-NowVice-Director, CGN Graphic Big Data Committee   2019-NowMember, CCF Artificial Intelligence and Pattern Recognition Committee 2015-NowMember, CAAI Machine Learning Committee 2015-NowMember, CAA Adaptive Dynamic Programming and Reinforcement Learning Committee 2018-Now 研究领域 人工智能、进化计算、群体智能、粒子群优化、云计算、大数据Computation Intelligence：Particle Swarm Optimization (PSO), Ant Colony Optimization (ACO), Genetic Algorithm (GA), Differential Evolution (DE), Brain Storm Optimization (BSO)Cloud Computing and Big Data：Large Scale Resources Scheduling and Management, Multiobjective Optimization, Dynamic OptimizationIntelligent Application：Wireless Sensor Network, Scheduling and Control, Intelligent Systems 科研项目 2019-2021，国家优秀青年科学基金2018-2021，国家自然科学基金面上项目2015-2017，国家自然科学基金青年项目2019-2021，国家重点研发项目课题负责人2014-2018，广东省杰出青年科学基金2019-2021, Outstanding Youth Science Foundation PI, 1,300,000RMB2018-2021, National Natural Science Foundations of China (NSFC) PI, 600,000RMB2015-2017, National Natural Science Foundations of China (NSFC) PI, 270,000RMB2019-2021, National Key Research and Development Program of China PI, 2,430,000RMB2014-2018, NSF of Guangdong Province for Distinguished Young Scholars PI, 1,000,000RMB2017-2018, Fundamental Research Funds for the Central Universities PI, 500,000RMB2015-2016, Fundamental Research Funds for the Central Universities PI, 300,000RMB2013-2015, National High-Tech. Res.h and Dev. Program (863) of China   Co-PI, 26,800,000RMB 发表论文 代表性论文Zhi-Hui Zhan (詹志辉), et. al., “Adaptive particle swarm optimization,” IEEE Transactions on Systems, Man, and Cybernetics--Part B, vol. 39, no. 6, pp. 1362-1381, Dec. 2009.【ESI Highly Cited Paper，ESI高被引论文，该期刊近10年来（2009至今）所有论文被引次数排名第2的论文】 Zhi-Hui Zhan (詹志辉), et. al., “Orthogonal learning particle swarm optimization,” IEEE Transactions on Evolutionary Computation, vol. 15, no. 6, pp. 832-847, Dec. 2011.【ESI Highly Cited Paper，ESI高被引论文】Zhi-Hui Zhan (詹志辉), et. al., “Multiple populations for multiple objectives: A coevolutionary technique for solving multiobjective optimization problems,” IEEE Transactions on Cybernetics, vol. 43, no. 2, pp. 445-463, April. 2013.【ESI Highly Cited Paper，ESI高被引论文】Zhi-Hui Zhan (詹志辉), et. al., “Cloud computing resource scheduling and a survey of its evolutionary approaches,” ACM Computing Surveys, vol. 47, no. 4, Article 63, pp. 1-33, Jul. 2015.学生IEEE Transactions论文刘晓芳，2015级直博生，5篇IEEE TransactionsX. F. Liu(Student), Zhi-Hui Zhan(詹志辉)(Corresponding Author), et. al., “Coevolutionary particle swarm optimization with bottleneck objective learning strategy for many-objective optimization,” IEEE Transactions on Evolutionary Computation, vol. 23, no. 4, pp. 587-602, Aug. 2019.X. F. Liu(Student), Zhi-Hui Zhan(詹志辉)(Corresponding Author), et. al., “An energy efficient ant colony system for virtual machine placement in cloud computing,” IEEE Transactions on Evolutionary Computation, vol. 22, no. 1, pp. 113-128, Feb. 2018.X. F. Liu(Student), Zhi-Hui Zhan(詹志辉)(Corresponding Author), et. al., “Neural network-based information transfer for dynamic optimization,” IEEE Transactions on Neural Networks and Learning Systems, DOI:10.1109/TNNLS.2019.2920887, Jun. 2019.X. F. Liu(Student), Zhi-Hui Zhan(詹志辉)(Corresponding Author), et. al., “Historical and heuristic-based adaptive differential evolution,” IEEE Transactions on Systems, Man, and Cybernetics: Systems, vol. 49, no. 12, pp. 2623-2635, Dec. 2019.Zhi-Hui Zhan(詹志辉), X. F. Liu(Student), et. al., “Cloudde: A heterogeneous differential evolution algorithm and its distributed cloud version,” IEEE Transactions on Parallel and Distributed Systems, vol. 28, no. 3, pp. 704-716, March. 2017.王子佳，2015级直博生，4篇IEEE TransactionsZ. J. Wang(Student), Zhi-Hui Zhan(詹志辉)(Corresponding Author), et. al., “Automatic niching differential evolution with contour prediction approach for multimodal optimization problems,” IEEE Transactions on Evolutionary Computation, DOI:10.1109/TEVC.2019.2910721. 2019.Z. J. Wang(Student), Zhi-Hui Zhan(詹志辉)(Corresponding Author), et. al., “Dual-strategy differential evolution with affinity propagation clustering for multimodal optimization problems,” IEEE Transactions on Evolutionary Computation, vol. 22, no. 6, pp. 894-908, Dec. 2018.Z. J. Wang(Student), Zhi-Hui Zhan(詹志辉)(Corresponding Author), et. al., “Dynamic group learning distributed particle swarm optimization for large-scale optimization and its application in cloud workflow scheduling,” IEEE Transactions on Cybernetics, DOI: 10.1109/TCYB.2019.2933499, Aug. 2019.Zhi-Hui Zhan(詹志辉), Z. J. Wang(Student), et. al., “Adaptive distributed differential evolution,” IEEE Transactions on Cybernetics, DOI: 10.1109/TCYB.2019.2944873, Oct. 2019.陈宗淦，2016级直博生，2篇IEEE TransactionsZ. G. Chen(Student), Zhi-Hui Zhan(詹志辉)(Corresponding Author), et. al., “Distributed individuals for multiple peaks: A novel differential evolution for multimodal optimization problems,” IEEE Transactions on Evolutionary Computation, DOI: 10.1109/TEVC.2019.2944180, Oct. 2019.Z. G. Chen(Student), Zhi-Hui Zhan(詹志辉)(Corresponding Author), et. al., “Multiobjective cloud workflow scheduling: A multiple populations ant colony system approach,” IEEE Transactions on Cybernetics, vol. 49, no. 8, pp. 2912-2926, Aug. 2019.张欣，2017级博士生，1篇IEEE Transactions，1篇在投X. Zhang(Student), Zhi-Hui Zhan(詹志辉)(Corresponding Author), et. al., “Cooperative co-evolutionary bare-bones particle swarm optimization with function independent decomposition for large-scale supply chain network design with uncertainties,” IEEE Transactions on Cybernetics, DOI: 10.1109/TCYB.2019.2937565, Aug. 2019.赵宏，2017级博士生，1篇IEEE Transactions，1篇在投H. Zhao(Student), Zhi-Hui Zhan(詹志辉)(Corresponding Author), et. al.,“Local binary pattern-based adaptive differential evolution for multimodal optimization problems,” IEEE Transactions on Cybernetics, DOI: 10.1109/TCYB.2019.2927780, Aug. 2019.葛勇锋，2018级博士生，1篇IEEE Transactions，1篇在投Y. F. Ge(Student), Zhi-Hui Zhan(詹志辉), et. al., “Distributed differential evolution based on adaptive mergence and split for large-scale optimization,” IEEE Transactions on Cybernetics, vol. 48, no. 7, pp. 2166-2180, Jul. 2018.梁迪，2018级硕士生，1篇IEEE TransactionsD. Liang(Student), Zhi-Hui Zhan(詹志辉)(Corresponding Author), et. al., “An efficient ant colony system approach for new energy vehicle dispatch problem,” IEEE Transactions on Intelligent Transportation Systems, DOI:10.1109/TITS.2019.2946711, Oct. 2019. 出版专著和教材 Book Chapter: Zhi-Hui Zhan (詹志辉) and J. Zhang, “Bio-Inspired Computation for Solving the Optimal Coverage Problem in Wireless Sensor Networks: A Binary Particle Swarm Optimization Approach,” Bio-Inspired Computation in Telecommunications, Morgan Kaufmann, pp. 263-285, Feb. 2015. [PDF] J. Zhang, Zhi-Hui Zhan, W. N. Chen, J. H. Zhong, N. Chen, Y. J. Gong, R. T. Xu, and Z. Guan, Computation Intelligence, Tsinghua University Press, November, 2009.张军（导师）, 詹志辉，陈伟能，钟竞辉，陈霓，龚月姣，许瑞填，官兆 编著，《计算智能》，清华大学出版社，2009年11月。J. Zhang, W. N. Chen, X. M. Hu, Y. Lin, W. L. Zhong, Zhi-Hui Zhan, and T. Huang, Numerical Computing，Tsinghua University Press, July, 2008.张军（导师）, 陈伟能，胡晓敏，林盈，钟文亮，詹志辉，黄韬 编著，《数值计算》，清华大学出版社，2008 年7月。 科研创新 J. Zhang (supervisor), and Zhi-Hui Zhan (詹志辉), Multicast Approach Based on Particle Swarm Optimization (基于粒子群算法的多播路由方法), Chinese Patent No. ZL200810220650.1. 教学活动 博士生课程：《高级智能算法》本科生课程：《人工智能》、《智能算法及应用》、《数学建模》、《最优化方法》 指导学生情况  指导学生发表IEEE Transactions论文10余篇。    教学过程中启发和引导学生将课程知识与学术前沿进行结合，并设置相关小课题吸引学生的兴趣，指导本科生“大学生创新训练计划项目”等近10项。 指导学生刘晓芳、张梦丹、黎海灏、陈宗淦、张戈弋、石琳、吴丽娇、李悦新等人本科阶段在GECCO、CEC、SSCI等计算智能领域的权威国际会议上发表学术论文10余篇。 指导本科生黎海灏等人和谢嘉雯等人获得2015年美国大学生数学建模竞赛国际一等奖（Meritorious Winner）2项。 指导本科生陈宗淦等人的“基于群体智能算法的云计算资源调度研究”项目获得2015年大学生挑战杯竞赛广东省一等奖。    指导本科生梁迪同学的团队作品“基于自适应蚁群系统的公用自行车调度优化”获2018年全国高校云计算应用大赛一等奖。 指导本科生王子佳的毕业论文“一种改进的综合学习粒子群优化算法”获得校级优秀本科毕业论文奖。 我的团队 已毕业博士：刘晓芳、王子佳、陈宗淦、张欣、赵宏已毕业硕士：刘润东、周淑姿、梁迪、郭宇在读博士生：王荣、葛勇锋、石琳、黎建宇、邬晟豪、蒋怿、罗鎏玥、杨奇特在读硕士生：简俊荣、邓壮杰、吴丽娇、刘思晨、汪叶群、高敏、王宏锐、杨家权、张弛、介思佳、朱佩瑶本科生：吴丽娇、刘思晨、谭晟、张桂江、文毅鸿、叶锐智、林安然、霍晓阳、邵寒、袁宜晨、李悦新、李明阳、韦玮、陈骏川、黎弈江、罗沁子等