研究領(lǐng)域：進(jìn)化計(jì)算、機(jī)器學(xué)習(xí)、大數(shù)據(jù)挖掘
碩士招生方向：計(jì)算機(jī)科學(xué)與技術(shù),、電子信息
電子郵箱：[email protected]
個(gè)人簡(jiǎn)歷：
2009.09–2013.07 新疆大學(xué) 信息科學(xué)與工程學(xué)院 學(xué)士
2013.09–2016.07 河南師范大學(xué) 計(jì)算機(jī)與信息工程學(xué)院碩士
2016.09–2019.12 哈爾濱工程大學(xué) 計(jì)算機(jī)科學(xué)與技術(shù)學(xué)院博士
2020.03–至今 河南師范大學(xué) 計(jì)算機(jī)與信息工程學(xué)院
科研項(xiàng)目：
[1]國(guó)家自然科學(xué)基金青年項(xiàng)目：高維數(shù)據(jù)下的深度進(jìn)化多任務(wù)學(xué)習(xí)與優(yōu)化方法研究,，2025.01-2027.12，主持,。
[2]河南省科技攻關(guān)計(jì)劃項(xiàng)目：面向柔性車間生產(chǎn)資源調(diào)度問(wèn)題的新型進(jìn)化方法研究,，2024.01-2025.12，主持,。
[3]河南省高等學(xué)校重點(diǎn)科研項(xiàng)目基礎(chǔ)研究計(jì)劃：基于多任務(wù)多目標(biāo)優(yōu)化的柔性車間調(diào)度方法研究,，2025.01-2026.12，主持,。
[4]國(guó)家自然科學(xué)基金面上項(xiàng)目：面向深度神經(jīng)網(wǎng)絡(luò)的邊緣智能環(huán)境構(gòu)建及關(guān)鍵技術(shù)研究,，2025.01-2028.12，參與,。
[5]河南省自然科學(xué)基金優(yōu)秀青年科學(xué)基金：圖像隱寫檢測(cè)特征的快速和優(yōu)化選取,，2022.01-2024.12，參與,。
主要論文：
[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]李濤*, 高志剛, 管晟媛, 徐久成, 馬媛媛. 結(jié)合全局注意力機(jī)制的實(shí)時(shí)語(yǔ)義分割網(wǎng)絡(luò). 智能系統(tǒng)學(xué)報(bào), 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.