研究方向
模式識别及應用、數據挖掘、圖像處理、信息安全等
二．科研項目
1.河北省自然基金項目：基于核方法與半監督SVM的離群數據挖掘方法研究(2009-2011)，主持
2. 國家自然基金項目：不确定支持向量機及其應用(2011-2013)，主研
3. 國家自然基金項目：不确定統計學習理論研究(2008-2010)，主研
4. 國家自然基金項目：基于不确定性樣本的統計學習理論(2006-2006)，主研
5. 河北省科技支撐項目：基于增量式半監督學習SVM的網絡入侵檢測系統(2007-2009)，主持人
6. 河北省自然基金項目：中文電子郵件作者識别理論及其方法研究(2006-2008，主研
7. 河北省自然基金項目：兩階段模糊随機優化理論及其應用(2005-2007)，主研
8. 河北省自然基金項目：模糊值屬性特征子集的選取,2004-2003，主研
9. 河北省教育廳自然科學計劃項目：基于核方法與半監督SVM的離群挖掘及應用2008-2010，主持人
10. 河北省科學技術學會：學會評估與管理系統(2009)(橫向)，主持人
三．代表性論文
[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]李昆侖,曹铮,曹麗蘋,張超,劉明.半監督聚類的若幹新近展[J].模式識别與人工智能, 2009, 22(5): 735-742.
[10]李昆侖,張超,曹铮,劉明.基于Seed集的半監督核聚類.計算機工程與應用, 2009, 45(20): 154-157.
[11]李昆侖,張偉,代運娜.基于Tri-training的半監督SVM.計算機工程與應用, 2009, 45(22): 103-106.
[12]孫雪,李昆侖,趙瑞,胡夕坤.基于全局最優的半監督K-means算法.北京交通大學學報, 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]李昆侖,黃厚寬.模糊多類支持向量機及其在入侵檢測中的應用.計算機學報, 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]李昆侖,黃厚寬,田盛豐.模糊多類SVM模型.電子學報, 2004, 32(5): 830-833.
[19]李昆侖,黃厚寬,田盛豐.一種基于有向無環圖的多類SVM分類器.模式識别與人工智能, 2003, 16(2): 164-168.
[20]李昆侖,黃厚寬,田盛豐.基于SVM技術的入侵檢測.信息與控制, 2003, 32(6): 495-500.
四．出版專著及教材
