计算机系

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李磊军

发布时间:2017-09-15   浏览次数:0

教育背景:      
 博士,工学,哈尔滨工业大学,2010年9 月—2014年6月    
 硕士,理学,河北师范大学,2007年9 月—2010年6   月
 学士, 理学,河北师范大学,2003年9月 —2007年6月

工作经历:      
2014年7月至今,河北师范大学数学与信息科学学院
 
教学情况:        
主讲课程: 《智能信息处理》、、《离散数学》

科研情况:        
基金:  国家自然科学基金 (No. 61502144),2016-2018,主持人

代表性论文
1. Leijun Li, Bo Zou, Qinghua Hu, Xiangqian Wu, Daren Yu. Dynamic classifier ensemble using classification confidence. Neurocomputing, 2013, (99): 581–591.
2. Leijun Li, Qinghua Hu, Xiangqian Wu, Daren Yu. Exploration of classification confidence in ensemble learning. Pattern Recognition, 2014, 47(9): 3120–3131.
3. Leijun Li, Jusheng Mi, Bin Xie. Attribute reduction based on maximal rules in decision formal context, International Journal of Computational Intelligence Systems, 2014, 7(6): 1044-1053.
4. Leijun Li, Qinghua Hu, Xiangqian Wu, Daren Yu. Exploring Margin for Dynamic Ensemble Selection., Rough Sets and Knowledge Technology. Springer Berlin Heidelberg, 2013:178-187.
5. Qinghua Hu, Leijun Li, Xiangqian Wu, Gerald Schaefer, Daren Yu. Exploiting Diversity for Optimizing Margin Distribution in Ensemble Learning. Knowledge-Based Systems, 2014, (67) : 90-104.
6. Bin Xie, Leijun Li, Jusheng Mi, A novel approach for ranking in interval-valued information systems. Journal of Intelligent and Fuzzy Systems, 30 (2016) 523–534 .  
7. Jian Sun, Leijun Li, Qinghua Hu. Fault diagnosis based on pruned ensemble. International Conference on Machine Learning and Cybernetics. IEEE, 2012:35-40.
8. Leijun Li, Xiangqian Wu, Jusheng Mi, Qinghua Hu, Daren Yu. Covering Reduction with Application to Rule Learning, International Journal of Computer Science and Knowledge Engineering, 2012, 6(1):13-16
9. Leijun Li , Bin Xie, Jusheng Mi, Meizheng Li, On the use of cut set for attribute reduction in L-fuzzy concept lattice, International Conference on Machine Learning and Cybernetics. IEEE, 2017:323-330.
10. 李磊军, 李美争, 解滨, 米据生, 三支决策视角下概念格的分析和比较,模式识别与人工智能, 2016, 29(10): 951-960