研究方向
模式识别及应用、数据挖掘、图像处理、信息安全等
二．科研项目
1.河北省自然基金项目：基于核方法与半监督SVM的离群数据挖掘方法研究(2009-2011)，主持
2. 国家自然基金项目：不确定支持向量机及其应用(2011-2013)，主研
3. 国家自然基金项目：不确定统计学习理论研究(2008-2010)，主研
4. 国家自然基金项目：基于不确定性样本的统计学习理论(2006-2006)，主研
5. 河北省科技支撑项目：基于增量式半监督学习SVM的网络入侵检测系统(2007-2009)，主持人
6. 河北省自然基金项目：中文电子邮件作者识别理论及其方法研究(2006-2008，主研
7. 河北省自然基金项目：两阶段模糊随机优化理论及其应用(2005-2007)，主研
8. 河北省自然基金项目：模糊值属性特征子集的选取,2004-2003，主研
9. 河北省教育厅自然科学计划项目：基于核方法与半监督SVM的离群挖掘及应用2008-2010，主持人
10. 河北省科学技术学会：学会评估与管理系统(2009)(横向)，主持人
三．代表性论文
[1] Kunlun Li and Guoyan Zhang. Face recognition based on improved Retinex and sparse representation. Procedia Engineering, 2011, 15: 2010-2014.
[2] Kunlun Li and Jing Xie. Multi-class text categorization based on LDA and SVM. Procedia Engineering, 2011, 15: 1963-1967.
[3] Kunlun Li, Yinghui Ma and Yongmei Tian. Ensembles of LS-SVR for Time Series Prediction. Information-An International Interdisciplinary Journal. (To be appeared, 2012) (SCI
[4] Kunlun Li and Guoyan Zhang. Face Recognition Based on Total Variation and Sparse Representation. Information-An International Interdisciplinary Journal. (To be appeared, 2012) (SCI
[5] Kunlun Li, Miao Wang and Ming Liu. Improved level set method for lip contour detection. In Proceedings of International Conference on Information Processing (ICIP), 2010: 673-676.
[6] Kunlun Li, Zheng Cao, Liping Cao, Ming Liu. An Improved FCM Algorithm for Image Segmentation. Lecture Notes in Computer Science, 2010, 6401/2010(RSKT 2010): 551-556.
[7] Kunlun Li, Hongxia Yuan and Ming Liu. A Novel Preprocessing Algorithm of Knuckleprint. AICI 2010, 2010, Vol(2): 49-53.
[8] Kunlun Li, Xuerong Luo, Ming Jin. Semi-supervised Learning for SVM-KNN. Journal of Computers, 2010, 5(5): 671-678.
[9]李昆仑,曹铮,曹丽苹,张超,刘明.半监督聚类的若干新近展[J].模式识别与人工智能, 2009, 22(5): 735-742.
[10]李昆仑,张超,曹铮,刘明.基于Seed集的半监督核聚类.计算机工程与应用, 2009, 45(20): 154-157.
[11]李昆仑,张伟,代运娜.基于Tri-training的半监督SVM.计算机工程与应用, 2009, 45(22): 103-106.
[12]孙雪,李昆仑,赵瑞,胡夕坤.基于全局最优的半监督K-means算法.北京交通大学学报, 2009, 33(6): 106-109.
[13] Kunlun Li and Xiaoqian Meng. Multi-view learning for high dimensional data classification. In 21st Proceedings of Chinese Control and Decision Conference, 2009: 3766-3770.
[14] Kunlun Li and Yunna Dai. Ensemble Implementations on Diversified Support Vector Machines. In Proceedings of Fourth International Conference on Natural Computation, 2008, 3: 180-184.
[15] Rui Zhao, Kunlun Li, Ming Liu, Xue Sun. A Novel Approach of Personal Identification Based on Single Knuckleprint Image. In Proceeding of Asia-Pacific Conference on Information Processing, 2009(APCIP 2009), 2: 218 – 221.
[16]李昆仑,黄厚宽.模糊多类支持向量机及其在入侵检测中的应用.计算机学报, 2005, 28(2): 274-280.
[17] Kunlun Li. Unsupervised SVM Based on p-kernels for Anomaly Detection. In Proceedings of International Conference on Innovative Computing Information and Control, 2006: 59-62.
[18]李昆仑,黄厚宽,田盛丰.模糊多类SVM模型.电子学报, 2004, 32(5): 830-833.
[19]李昆仑,黄厚宽,田盛丰.一种基于有向无环图的多类SVM分类器.模式识别与人工智能, 2003, 16(2): 164-168.
[20]李昆仑,黄厚宽,田盛丰.基于SVM技术的入侵检测.信息与控制, 2003, 32(6): 495-500.
四．出版专著及教材
