李向华
发布时间:2016-04-28
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姓名: | 李向华 | 性别: | 女 | |
学历: | 博士 | 职称: | 讲师 | |
部门: | 软件工程系 | 电话: | ||
邮件地址: | ||||
研究方向: | 智能计算 | |||
个人简介 | ||||
2006-2009, 吉林大学计算机学院工学博士 2003-2006, 吉林大学计算机学院工学硕士 | ||||
教学情况 | ||||
软件工程 操作系统 | ||||
科研情况 | ||||
主持科研项目: 国家自然科学基金青年基金(61403315), 25万, 2015.01-2017.12 重庆市自然科学基金项目(cstc2013jcyjA40022), 5万, 2013.07-2016.07 部分检索论文: [1] Xianghua Li, et al. Modelling immune system: principles, models, analysis and perspectives. Journal of Bionic Engineering, 2009, 6 (1): 77-85 (SCI) [2] 李向华等. 基于混沌和免疫应答的增量聚类新算法. 自动化学报, 2010, 36(2): 202-208 (EI) [3] Xianghua Li, et al. A novel community detection algorithm based on clonal selection. Journal of Computational Information System, 2013,9(5): 1899-1906. (EI) [4] Xianghua Li, et al.. A dynamic clustering algorithm based on artificial immune system for analyzing 3D models. Proceedings of the 8th International Conference on Natural Computing (ICNC12), 2012: 854-858 ( EI) [5] Xianghua Li, et al. Algorithm for incremental data clustering based on immune response and optimization of clustering results. Journal of Information and Computational Science, 2010, 6 (4): 1275-1283 (EI) [6] Xianghua Li, et al. Two-phase incremental clustering algorithm based on immune response and ant colony. The 4th International Conference on Genetic and Evolutionary Computing (ICGEC10), 2010: 582-587 (EI) [7] Xianghua Li, et al. A dynamic algorithm based on immune response for unsupervised learning of incremental data. Journal of Information and Computational Science, 2009, 6 (2): 879-886 (EI) [8] Xianghua Li, et al.. ICAIS: a novel incremental clustering algorithm based on artificial immune systems. International Conference on Internet Computing in Science and Engineering (ICICSE08), 2008: 85-90 (EI) [9] Xianghua Li, et al.. Artistic fractal images for complex mapping F(z) and T(z). The10th IEEE International Conference on Computer Aided Design and Computer Graphics (CAD/Graphics07), 2007: 501-504 (EI) [10] 李向华等, 3x+1推广函数构造广义M集及其艺术分形图像, 计算机辅助设计与图形学学报, 2007, 19(4): 419-424 (EI) | ||||
获奖情况 | ||||
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