工作经历：      
2014年7月至今，william威廉亚洲官方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