研究领域:进化计算、机器学习、大数据挖掘
硕士招生方向:计算机科学与技术、电子信息
电子邮箱:litao0116@163.com
个人简历:
2009.09–2013.07 新疆大学 信息科学与工程学院 学士
2013.09–2016.07 澳门永利yl6776 计算机与信息工程学院硕士
2016.09–2019.12 哈尔滨工程大学 计算机科学与技术学院博士
2020.03–至今 澳门永利yl6776 计算机与信息工程学院
科研项目:
[1]国家自然科学基金青年项目:高维数据下的深度进化多任务学习与优化方法研究,2025.01-2027.12,主持。
[2]河南省科技攻关计划项目:面向柔性车间生产资源调度问题的新型进化方法研究,2024.01-2025.12,主持。
[3]河南省高等学校重点科研项目基础研究计划:基于多任务多目标优化的柔性车间调度方法研究,2025.01-2026.12,主持。
[4]国家自然科学基金面上项目:面向深度神经网络的边缘智能环境构建及关键技术研究,2025.01-2028.12,参与。
[5]河南省自然科学基金优秀青年科学基金:图像隐写检测特征的快速和优化选取,2022.01-2024.12,参与。
主要论文:
[1]Tao Li*, Yuhua Qian*, Feijiang Li, Xinyan Liang, Zhi-hui Zhan. Feature subspace learning-based binary differential evolution algorithm for unsupervised feature selection. IEEE Transactions on Big Data, 2025, 11(1):99-114.
[2]Tao Li*, Zhi-hui Zhan*, Jiucheng Xu, Qiang Yang, Yuanyuan Ma. A binary individual search strategy-based bi-objective evolutionary algorithm for high-dimensional feature selection. Information Sciences, 2022, 610: 651-673.
[3]Tao Li*, Jiexue Jia, Jianyu Li, Xianwei Xin, Jiucheng Xu. A novel random fast multi-label deep forest classification algorithm. Neurocomputing, 2025, 615: 128903.
[4]Tao Li*, Bingyang Li, Xianwei Xin, Yuanyuan Ma, Qiang Yang. A novel tree structure-based multi-prototype clustering algorithm. Journal of King Saud University-Computer and Information Sciences, 2024, 36(3):102002.
[5]Tao Li*, Shunxi Zhang, Qiang Yang. An adaptive dual-strategy constrained optimization-based coevolutionary optimizer for high-dimensional feature selection. Computers & Electrical Engineering, 2024,118: 109362.
[6]Tao Li*, Shunxi Zhang, Haoyue Ma, Jianyu Li, Jiucheng Xu. A Novel Co-evolutionary Particle Swarm Optimization Method for Biomarker Selection and Disease Classification.2024 IEEE International Conference on Bioinformatics and Biomedicine(BIBM2024), 2024:1563-1568.
[7]李涛*, 高志刚, 管晟媛, 徐久成, 马媛媛. 结合全局注意力机制的实时语义分割网络. 智能系统学报, 2023, 18(2): 282–292.
[8]Tao Li, Hongbin Dong*, Guisheng Yin, Yuhai Sha. An effective differential evolution with binary strategy for feature selection problem. IEEE International Conference on Systems, Man, and Cybernetics (SMC2019), 2019: 158-163.
[9]Tao Li*, Jiucheng Xu, Meng Yuan and Zhigang Gao. A hybrid multi-objective optimization algorithm with improved neighborhood rough sets for feature selection. The 12th International Conference on Intelligent Information Processing (IIP2022), 2022, 65-79.