李涛(博士后)

研究领域：进化计算

电子邮箱：litao0116@163.com

个人简介：

李涛，男，1990年1月生，讲师，博士，硕士生导师，CCF会员，CAAI会员。研究方向包括：进化计算、多目标优化、大数据挖掘等，在国内外期刊或会议上发表学术论文10余篇。

主要论文：

1: Tao Li*, Zhihui 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.

2: Hongbin Dong, Tao Li*, Rui Ding, Jing Sun. A novel hybrid genetic algorithm with granular information for feature selection and optimization [J]. Applied Soft Computing, 2018, 65: 33-46.

3: Tao Li, Hongbin Dong*, Guisheng Yin, Yuhai Sha. An effective differential evolution with binary strategy for feature selection problem [C]. IEEE International Conference on Systems, Man, and Cybernetics, 2019: 158-163.

4: Tao Li, Jiucheng Xu, Meng Yuan and Zhigang Gao. A Hybrid Multi-objective Optimization Algorithm with Improved Neighborhood Rough Sets for Feature Selection [C]. The 12th International Conference on Intelligent Information Processing, 2022, 65-79.

5: 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[J].智能系统学报, 2023, 18(2): 282-292.