职 称： 教授
职 务： 系主任
学 历： 博士
办公电话： 86-10-51688291
办公邮箱： jianyu@
毕业学校： 北京大学
个人主页： http://cit./cit/teacher/TeacherLoad.action?id=85&action=read
个人简介：
目前研究兴趣包括: 机器学习，计算智能，图像分析和数据挖掘等。
论文情况：
(1) Jian YU, Caiyan Jia: Convergence Analysis of Affinity Propagation, KSEM
(2) Yan Zhu, Liping Jing, and Jian Yu, New Labeling Strategy for Semi-supervised Document Categorization, KSEM
(3) Jian Yu, Miin-Shen Yang, Pengwei Hao: A Novel Multimodal Probability Model for Cluster Analysis. RSKT : 397-404
(4) Jian Yu, Shuigeng Zhou, Lipo Wang, Jingsheng Lei, “Preface: Advances in Fuzzy Sets and Knowledge Discovery”, Computers and Mathematics with applications, 57(6): 865, Mar. .
(5) 肖 宇, 于 剑, “基于近邻传播算法的半监督聚类”, 软件学报，19(11): 2803-2813, 11月
(6) Miin-Shen Yang, Kuo-Lung Wu, June-Nan Hsieh and Jian Yu，“Alpha-Cut Implemented Fuzzy Clustering Algorithms and Switching Regressions”，IEEE Transactions on Systems, Man and Cybernetics-part B: Cybernetics，38(3): 588-603,
(7) Zhu, Yan; Yu, Jian , A Novel Method to Calculate Sample Weights for FCM Regression, 151-156, FSKD
(8) Jian Yu, Pengwei Hao, “The worse clustering performance analysis’”, Proc. Of GrC ,437-441
(9) Ding ZJ, Yu J, Zhang YQ, A new improved K-means algorithm with penalized term, Proc. Of GrC , 313-317
(10)Jian Yu, Minn-Shen Yang, “A Generalized Fuzzy Clustering Regularization Model with Optimality Tests and Model Complexity Analysis”, IEEE Transactions On Fuzzy Systems，15(5): 904-905, Oct.
(11)Jian Yu, “From the Guest Editor: Special Issue on fuzzy clustering and its applications”, International Journal of Fuzzy Systems, 9(4):187, December,
(12)于剑，“聚类算法的新进展：谱聚类综述”, 机器学习及其应用, 清华大学出版社， ，10
(13)Yan Li， Jian YU, Pengwei Hao, et al, “Clustering Ensembles based on Normalized Edges”, PAKDD , Nanjing University, May
(14)Jian Yu, Pengwei Hao, “A novel insight into learning theory: The gap between teaching and learning”, International Journal of Fuzzy Systems, 9(4): 212-219,December,
(15)Cuixia Li, Jian Yu, “A Novel Fuzzy C-means clustering algorithm”, LNAI 4062:510-515, July. . Chongqing, China
(16)Jian Yu, Cuixia Li, “A Novel cluster validity index for FCM algorithm”, Journal of Computer Science and Technology, 21(1), 137-140, Jan.
(17)邵超 黄厚宽 于剑, 基于进化规划的Markov随机场参数的估计, 模式识别与人工智能, 19卷 2期, 143-148
(18)Jian Yu, “General c-means clustering model ”, IEEE Transactions on Pattern Analysis and Machine Intelligence, 27(8), 1197-1211, Aug.
(19)Jian Yu, Minn-Shen Yang, “A Note on the ICS Algorithm with Corrections and Theoretical Analysis”, IEEE Trans. On Image Processing, 14(7), 973-978, July
(20)Jian Yu, Pengwei Hao, “Comments on ‘The Multisynapse Neural Network and its Application to Fuzzy Clustering’”, IEEE Transactions on Neural Networks, 16(3), 777-778, May,
(21)Jian Yu, Chao Shao, Youfang Lin, Houkuan Huang, “why m>1 in the FCM algorithm”, Chinese Journal of Electronics, 14(2): 215-219, April,
(22)K-L. Wu, J. Yu and M-S. Yang “A novel fuzzy clustering algorithm based on a fuzzy scatter matrix with optimality tests”, Pattern Recognition Letters, 26(5)：639-652，April,
(23)Jian Yu, Minn-Shen Yang, “Optimality Test for a Generalized FCM and Its Application to Parameter Selection”, IEEE Trans. On Fuzzy Systems, 13(1),164-176, Feb.
(24)李翠霞, 于剑,一种模糊聚类算法归类的研究, 北京交通大学学报, 第29卷 第02期: 17-21
(25)Ying Chen, Pengwei Hao and Jian Yu, "Shear-Resize Factorizations for Fast Multi-Modal Volume Registration", International Conference on Image Processing (ICIP) ,v.2: 1085-1088, Oct. 24-27, , Singapore
(26)Jian Yu, Houkuan Huang & Shengfeng Tian, “Cluster validity and stability of clustering algorithms”, JOINT IAPR INTERNATIONAL WORKSHOPS ON Syntactical and Structural Pattern Recognition (SSPR ) and Statistical Pattern Recognition (SPR ), Lisbon, Portugal, Lecture Notes in Computer Science, Springer-Verlag Heidelberg, no.3138, 957-965, August 18-20,
(27)Jian Yu, Pengwei Hao, “On soft learning vector quantization based on reformulation”, ISNN , Lecture Notes in Computer Science, Springer-Verlag Heidelberg,, no.3173,168-173, August 20-23, , Dalian
(28)Shengfeng Tian, Jian Yu, Chuanyuan Yin, “Anomaly Detection Using Support Vector Machines”, ISNN , Lecture Notes in Computer Science, Springer-Verlag Heidelberg,, no.3173, 592-597, August 20-23, , Dalian
(29)张敏, 于剑，“基于划分的模糊聚类算法”, 软件学报, ,15(6),858-868
(30)Jian Yu, Q. Cheng, Houkuan Huang, “Analysis of the weighting exponent in the FCM”, IEEE Transactions on Systems, Man and Cybernetics-part B: Cybernetics, 34(1), 634-639, Feb.
(31)Jian Yu, Hongbo Shi, Houkuan Huang, et al. “Counterexamples to convergence theorem of the maximum entropy clustering algorithm”, Science in China, series F, vol.46, no.5, 321-326,Oct.
(32)于剑, “论模糊c均值算法的模糊指数”, 计算机学报, vol.26 (8), 968-973,.8
(33)于剑,石洪波，黄厚宽等, “关于极大熵聚类算法的收敛性定理的反例”， 中国科学，E辑，33(6)， 531-536， .6
(34)于剑, “FCM算法中的权重指数m的一点注记”, 电子学报, 31(3), 478-480, .3
(35)Jian Yu, “General c-means clustering model and its applications”, IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), v.2, 122-127, June.
(36)Jian Yu, Houkuan Huang, “A weighting fuzzy c-means algorithm”, FUZZ-IEEE , v.2, 896-901, May,
(37)Jian Yu, Minn-Shen Yang, “A study on Generalized FCM ”, RSFDGrC', Lecture Notes in Artificial Intelligence, Springer-Verlag Heidelberg, no.2639,390-393, May,
(38)Jian Yu, Houkuan Huang, “An efficient optimality test for the fuzzy c-means algorithm”, FUZZ-IEEE 2002, v.1, 98-103, May, 2002
(39)于剑, 程乾生,“模糊聚类方法中的最佳聚类数的存在范围”，中国科学，E辑，32(2)，274-280， 2002.2
(40)Jian Yu, Qiansheng Cheng, “The upper bound of the optimal number of clusters in fuzzy clustering”, Science in China, series F, vol.44, no.2, pp.119-125, April 2001
(41)于剑, 程乾生, “关于聚类有效性函数FP(u,c)”, 电子学报, vol.29, no.7, pp.899-901, 2001.7
(42)Jian Yu, Qiansheng Cheng, “A note on rough set and non-measurable set”, Chinese Science Bulletin, 45(16), 1456-1458, Aug. 2000
(43)于剑, 程乾生, “粗集与不可测集”， 科学通报，45(7),686-688, 2000.4
著作情况：
Editor:Jun Ma. Yilong Yin, Jian Yu, Shuigeng Zhou, PROCEEDINGS of FIFTH INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS AND KNOWLEDGE DISCOVERY, , JInan
Editor:Jingsheng Lei, Jian Yu, Shuigeng Zhou, PROCEEDINGS of FOURTH INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS AND KNOWLEDGE DISCOVERY, , Haikou
获奖情况：
(1)独立完成的论文“一般c均值聚类模型”获得北京市科协主办的第八届北京青年优秀科技论文一等奖
(2)詹天佑铁道科技奖北京交通大学专项基金奖
项目科研情况：
(1) 国家自然科学基金重大项目面上基金，项目批准号：90820013 (项目负责人) (-20011): 基于相似性的认知模型与图像分析中的关键问题研究，
(2) 国家自然科学基金项目面上基金，项目批准号：60875031 (项目负责人) (-20011): 近邻传播算法中的几个关键问题研究，
(3) 973项目，项目批准号：CB311002 (5/16)(-)：非结构化数据的数学建模与机器学习
(4) 度教育部新世纪优秀人才支持计划，项目批准号：NCET-06-0078(项目负责人)，基于统计的聚类算法的性能评估与自动选择研究(-)
(5) 霍英东教育基金会第十届高等院校青年教师基金项目，项目批准号：101068(项目负责人)(-)： 机器学习中的教学间断现象研究，已经结题
(6) 教育部高等学校博士学科点专项科研基金，项目批准号：0004008(-)(主要参加人)：机器学习中的教学间断理论， 已经结题
(7) 教育部科学技术研究重点项目，项目批准号： 02031 (2002-) (项目负责人): 聚类算法中的参数选择理论, 已经结题，
(8) 国家自然科学基金项目面上基金，项目批准号：60303014 (项目负责人) (-): 基于划分的一般聚类模型研究，已经结题(优秀)
(9) 国家自然科学基金项目，项目批准号：60443003 (3/10) (-): 协同演化学习方法及其在数据挖掘中的应用，已经结题
授课情况：
指导研究生情况：
博士生：
朱岩，肖宇， 纳跃跃， 马丽艳， 姜雅文， 张辉
工作经历：
社会兼职情况：
中国计算机学会人工智能与模式识别专业委员会副主任委员兼秘书长，
中国人工智能学会理事，
中国计算机学会高级会员，
中国人工智能学会机器学习专业委员会常务委员,
International Journal of Fuzzy Systems编委,
The Open Artificial Intelligence Journal编委,
《计算机学报》编委
《北京交通大学学报》编委
