姓名：李寒
性别：男
职称：讲师，硕导
学位：博士
电子邮件： h_li@fzu.edu.cn
个人简介
李寒，1996 年 4 月生，中共党员。福州大学电气工程与自动化学院讲师，主要研究方向为演化计算、动态多目标优化技术等。近年来，以第一/共一作者身份在IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on Fuzzy Systems, Neurocomputing等国际期刊发表SCI收录论文9篇，含中科院1区top文章3篇，并入选ESI高被引论文1篇。已授权发明专利 5 项，实用新型专利 1 项。
教育工作经历
2025.2~至今，福州大学，电气工程与自动化学院，讲师
2018.9~2024.6 厦门大学，测试计量技术及仪器，博士（硕博连读）
2014.9~2018.6 厦门大学，测控技术与仪器，学士
主要科研经历
1) 福州大学引进人员科研启动项目：时空信息联合驱动的进化迁移优化算法研究，2025-03至2027-03，10万元，在研，主持
2) 福建省科技厅, 福建省杰出青年科学基金：复杂场景中不完善数据的智能分析方法及在涡轮表面缺陷检测的应用, 2023-08至2026-08, 30万元，在研，参与
3) 工业和信息化部，国家科技重大专项：XXX多学科设计优化理论与方法研究，2021-01至2024-12，300万元，结题，参与
代表性论文
[1] H. Li, Z. Wang, N. Zeng*, P. Wu and Y. Li, “Promoting objective knowledge transfer: A cascaded fuzzy system for solving dynamic multiobjective optimization problems”, IEEE Transactions on Fuzzy Systems, vol. 32, no. 11, pp. 6199-6213, 2024.
[2] H. Li, Z. Wang, C. Lan, P. Wu and N. Zeng*, “A novel dynamic multiobjective optimization algorithm with hierarchical response system”, IEEE Transactions on Computational Social Systems, vol. 11, no. 2, pp. 2494-2512, 2024.
[3] H. Li, Z. Wang, C. Lan, P. Wu and N. Zeng*, “A novel dynamic multi-objective optimization algorithm with non-inductive transfer learning based on multi-strategy adaptive selection”, IEEE Transactions on Neural Networks and Learning Systems, vol. 35, no. 11, pp. 16533-16547, 2024.
[4] H. Li, H. Liu, C. Lan, Y. Yin, P. Wu, C. Yan* and N. Zeng*, “SMWO/D: a decomposition-based switching multi-objective whale optimiser for structural optimisation of Turbine disk in aero-engines”, International Journal of Systems Science, vol. 54, no. 8, pp. 1713-1728, 2023.
[5] H. Li, J. Li, P. Wu, Y. You and N. Zeng*, “A ranking-system-based switching particle swarm optimizer with dynamic learning strategies”, Neurocomputing, vol. 494, pp. 356-367, 2022.
[6] H. Li, Z. Fang, L. Hu, H. Liu, P. Wu, N. Zeng. A novel population robustness-based switching response framework for solving dynamic multi-objective problems. Neurocomputing, 2024, 583.
[7] H. Li, N. Zeng*, P. Wu and K. Clawson, “Cov-Net: A computer-aided diagnosis method for recognizing COVID-19 from Chest X-ray images via machine vision”, Expert Systems With Applications, vol. 207, article no. 118029, 2022. (ESI高被引)
[8] H. Li, P. Wu, Z. Wang, J. Mao, Fuad E. Alsaadi and N. Zeng*, “A generalized framework of feature learning enhanced Convolutional neural network for pathology-image-oriented Cancer diagnosis”, Computers in Biology and Medicine, vol. 151, article no. 106265, 2022.
[9] H. Li, P. Wu, N. Zeng*, Y. Liu and Fuad E. Alsaadi, “A survey on parameter identification, state estimation and data analytics for lateral flow immunoassay: from systems science perspective”, International Journal of Systems Science, vol. 53, no. 16, pp. 3556-3576, 2022.
获奖情况
1. 2024年，厦门大学优秀毕业生
2. 2023年，厦门市科技进步二等奖（第八完成人）
3. 2023年，博士研究生国家奖学金
4. 2023年，厦门大学黄希烈校级奖学金
5. 2016年，第八届全国大学生数学竞赛（非数学类）一等奖
学术兼职
担任Neurocomputing, Systems Science and Control Engineering, Applied Intelligence, Evolutionary Intelligence, 6th Asian Conference on Artificial Intelligence Technology (ACAIT 2022), China Automation Congress (CAC 2023) 等期刊和会议审稿人。
