◆ 讲师, 2020.09-今，公司

◆ 博士, 2015.08-2020.06，中山大学，计算机科学与技术

◆ 学士, 2011.09-2015.06，中山大学，计算机科学与技术

      刘晓芳，现为真实赌博软网站(中国)有限公司讲师，硕士生导师，主要研究领域是群体智能、进化计算、机器学习及其应用。具体研究方向包括：（1）面向动态、多目标、大规模等复杂优化问题的进化算法、群体智能、机器学习算法研究及其应用（资源调度、多机器人协同等）；（2）深度学习在磁共振全周期成像中的应用研究，包括：图像采集、图像重建、图像处理和疾病诊断。

      目前已发表国际期刊SCI论文以及EI会议论文20余篇，包括IEEE Transactions论文9篇（一作8篇），中科院SCI一区Top期刊论文9篇；ESI高被引论文2篇，成果近5年被同行引用1400余次(截止于2023年2月)。2020年入选真实赌博软网站(中国)有限公司“学科振兴计划”，获得谷歌Anita Borg奖学金。

正在招收硕士研究生，非常欢迎校内外保研、考研、对相关研究感兴趣的同学联系我（liuxiaofang@nankai.edu.cn）；也欢迎想提前进入实验室参与科研训练的本科生咨询，一起朝同一个梦想前进。

主持国家自然科学青年基金和天津市自然科学青年基金

代表性期刊论文

[1] Xiao-Fang Liu (刘晓芳), Xin-Xin Xu, Zhi-Hui Zhan, Yongchun Fang, Jun Zhang, “Interaction-based prediction for dynamic multiobjective optimization,” IEEE Transactions on Evolutionary Computation, 2023, accepted, DOI: 10.1109/TEVC.2023.3234113. (中科院SCI一区Top期刊, IF=16.497)

[2] Xiao-Fang Liu (刘晓芳), Yongchun Fang, Zhi-Hui Zhan, Jun Zhang, “Strength learning particle swarm optimization for multiobjective multirobot task scheduling,” IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2023, accpeted, DOI: 10.1109/TSMC.2023.3239953. (中科院SCI一区Top期刊, IF=11.471)

[3] Xiao-Fang Liu (刘晓芳), Jun Zhang, and Jun Wang, “Cooperative particle swarm optimization with a bilevel resource allocation mechanism for large-scale dynamic optimization,” IEEE Transactions on Cybernetics, vol. 53, no. 2, pp. 1000-1011, 2023. (中科院SCI一区Top期刊, IF=19.118)

[4] Xiao-Fang Liu (刘晓芳), Zhi-Hui Zhan, et al., “Resource-aware distributed differential evolution for training expensive neural-network-based controller in power electronic circuit,” IEEE Transactions on Neural Networks and Learning Systems, vol. 33, no. 1, pp. 6286-6296, 2022.(中科院SCI一区Top期刊，IF=14.255)

[5] Xiao-Fang Liu (刘晓芳), Zhi-Hui Zhan, et al., “Neural network-based information transfer for dynamic optimization,” IEEE Transactions on Neural Networks and Learning Systems, vol. 31, no. 5, pp. 1557-1570, 2020.(中科院SCI一区Top期刊，IF=14.255)

[6] Xiao-Fang Liu(刘晓芳), Zhi-Hui Zhan, 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, 2019. (中科院SCI一区Top期刊，IF=16.497)

[7] Xiao Fang Liu(刘晓芳), Zhi-Hui Zhan, 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, 2018. (ESI高被引论文,中科院SCI一区Top期刊，IF=16.497)

[8] Xiao-Fang Liu(刘晓芳), Zhi-Hui Zhan, et al., “Historical and heuristic-based adaptive differential evolution,” IEEE Transactions on Systems, Man, and Cybernetics: Systems, vol. 49, no. 12, pp. 2623-2635, 2019. (中科院SCI一区Top期刊，IF=11.471)

[9] Zhi-Hui Zhan, Xiao-Fang Liu(刘晓芳), 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, 2017. (CCF A类期刊)

[10] Zhi-Hui Zhan, Xiao-Fang Liu(刘晓芳), et al., “Cloud computing resource scheduling and a survey of its evolutionary approaches,” ACM Computing Surveys, vol. 47, no. 4, 63, pp. 1-33, 2015. (ESI高被引论文，中科院SCI一区Top期刊)

◆ 机器视觉技术（本科生）

◆ 离散数学（本科生）

◆ IEEE Transactions on Evolutionary Computation、IEEE Transactions on Neural Networks and Learning System、IEEE Transactions on Cybernetics等多个期刊和会议审稿人

◆ IEEE会员