李凌杰，博士，助理教授，2023年6月毕业于深圳大学计算机与软件学院，获计算机科学与技术专业工学博士学位。主要研究方向为智能优化决策、进化强化学习、LLMs4Algorithms、云计算、图像处理与计算机视觉等。获2024年度广东省计算机学会科技进步一等奖。

【科研概述】

近年来，在IEEE Transactions on Evolutionary Computation、IEEE Transactions on Cybernetics、IEEE Transactions on Systems, Man, and Cybernetics: Systems、IEEE Transactions on Services Computing、IEEE Transactions on Consumer Electronics等国际权威期刊和会议累计发表学术论文30+篇。谷歌学术引用累计340余次（h-index：10）。Google Scholar Homepage: https://scholar.google.com/citations?user=0SatikoAAAAJ&hl=en.

【学术活动】

1） 曾担任计算智能旗舰顶级国际会议 International Conference On Intelligent Computing (ICIC 2024) “Nature-Inspired Intelligent Computing, Optimization and Applications” Special Session Organizer；

2） 曾担任计算智能旗舰顶级国际会议IEEE World Congress on Computational Intelligence (WCCI 2024) “Evolutionary Optimization in Digital Economy Applications” Special Session Organizer；

3） 长期担任AAAI、、IJCAI、NeurIPS、ICLR等人工智能领域顶会审稿专家。长期担任IEEE TEVC、IEEE TCYB、IEEE TSMC、IEEE TETCI、INS、Swarm等人工智能领域顶刊审稿专家。

【学术合作】

与清华大学、英国兰卡斯特大学、英国埃克塞特大学、香港科技大学、香港理工大学、香港城市大学、深圳大学、墨西哥皇家理工学院、中国地质大学（北京）、江南大学等国内外多位专家和课题组保持长期良好的合作关系。

【人才培养与招聘】

每年拟招聘3-4名硕士研究生，长期招聘科研助理、博士后，欢迎感兴趣的同学或者博士联系. 也特别欢迎对人工智能科研和实践项目抱有浓厚兴趣的本科生（非计算机专业也可）联系，并加入课题组科研学习。

-基本要求：1）较强的英语能力（包括英语阅读和写作能力）；2）较强的代码编程能力（Python/Java/C等）；3）兴趣驱动，性格开朗，态度端正、积极乐观的学生。

-联系方式：lilingjie@sztu.edu.cn；办公地址：suncitygroup太阳官方网站C1-1616.

（长期有效，随时可联系）

【部分科研成果】

[1] Lingjie Li, Manlin Xuan, Qiuzhen Lin*, Min Jiang, Zhong Ming*, and Kay Chen Tan, An evolutionary multitasking algorithm with multiple filtering for high-dimensional feature selection IEEE Transactions on Evolutionary Computation, vol. 27, no. 4, pp. 802-816, Aug. 2023, doi: 10.1109/TEVC.2023.3254155. （中科院1区顶级期刊，IF：14.3）

[2] Lingjie Li, Yuze Zhang, Qiuzhen Lin*, Zhong Ming, Carlos A. Coello Coello, and Victor C. M. Leung, Superpixel segmentation based evolutionary multitasking algorithm for feature selection of hyperspectral images, IEEE Transactions on Evolutionary Computation,Early Access, Apr. 2024, DOI: 10.1109/TEVC.2024.3392749. （中科院1区顶级期刊，IF：14.3）

[3]LingjieLi, YongfengLi, QiuzhenLin*, Songbai Liu, Junwei Zhou, Zhong Ming*, and Carlos A. Coello Coello, Neural net-enhanced competitive swarm optimizer for large-scale multiobjective optimization, IEEE Transactions on Cybernetics, vol. 54, no. 6, pp. 3502-3515, Jul, 2023, doi: 10.1109/TCYB.2023.3287596. （中科院1区顶级期刊，IF：11.8）

[4] Lingjie Li, QiuzhenLin*, Zhong Ming*, Ka-Chun Wong, Maoguo Gong and CarlosA.Coello Coello, An immune-Inspired resource allocation strategy for many-objective optimization, IEEE Transactions on Systems, Man, and Cybernetics: Systems, vol. 53, no. 6, pp. 3284-3297, June 2023, doi: 10.1109/TSMC.2022.3221466. （中科院1区顶级期刊，IF：8.7）

[5] Lngjie Li, Qijie Qiu, Zhijiao Xiao*, Qiuzhen Lin, Jiongjiong Gu, and Zhong Ming*, A two-stage hybrid multi-objective optimization evolutionary algorithm for computing offloading in sustainable edge computing, IEEE Transactions on Consumer Electronics, vol. 70, no. 1, pp. 735-746, Feb, 2024, DOI: 10.1109/TCE.2024.3376930. （中科院2区期刊，IF：4.3）

[6] Lingjie Li, Qiuzhen Lin, Ke Li, Zhong Ming*, Vertical distance-based clonal selection mechanism for the multiobjective immune algorithm. Swarm and Evolutionary Computation, 2021, 63: 100886. （中科院1区顶级期刊，IF：10.0）

[7] Lingjie Li, QiuzhenLin*, and Zhong Ming*, Multi-objective optimization using self-organizing decomposition and its application to crashworthiness design, Applied Soft Computing, 2021, 101:107002. （中科院1区顶级期刊，IF：8.7）

[8] Lingjie Li, QiuzhenLin*, Songbai Liu, Dunwei Gong, Carlos A. Coello Coell, and Zhong Ming*, Multi-objective optimization using self-organizing decomposition and its application to crashworthiness design, Applied Soft Computing, 2019, 101:105490. （中科院1区顶级期刊，IF：8.7）

[9] Lingjie Li, Yongfeng Li, QiuzhenLin*, Zhong Ming*, and Carlos A. Coello Coello, A convergence and diversity guided leader selection strategy for many-objective particle swarm optimization, Engineering Applications and Artificial Intelligence, 2022, 81:105249. （中科院小类1区期刊，IF：8.0）

[10] Zhijiao Xiao, Qijie Qiu, Lngjie Li*(唯一通讯作者), Yuhong Feng, Qiuzhen Lin, and Zhong Ming, An efficient service-aware virtual machine scheduling approach based on multi-objective evolutionary algorithm, IEEE Transactions on Services Computing, vol. 17, no. 5, pp. 2027-2040, Dec, 2023, doi: 10.1109/TSC.2023.3341842. （CCF-A类期刊，IF：8.1）

[11] Wenhong Wei, Manlin Xuan,Lingjie Li*(唯一通讯作者), Qiuzhen Lin, Zhong Ming, and C. A. C. Coello, Multiobjective optimization algorithm with dynamic operator selection for feature selection in high-dimensional classification, Applied Soft Computing, 2023, 143, 110360. （中科院1区顶级期刊，IF：8.7）

[12] Yuze Zhang, Lingjie Li*(唯一通讯作者), Qiuzhen Lin, Jianqiang Li, Zhong Ming, and Victor. C.M. Leung, Evolutionary multitasking with adaptive cross-dataset knowledge transfer for band selection of hyperspectral images, IEEE Transactions on Emerging Topics in Computational Intelligence, Early Access, Aug. 2024, DOI: 10.1109/TETCI.2024.3442859. （中科院3区、计算智能旗舰期刊，IF：5.3）