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个人简介

教育背景 1988.9-1991.7, 北京大学数学科学学院本科 1991.9-1994.7, 北京大学数学科学学院硕士 1997.9-2000.7,北京大学数学科学学院博士 工作经历 2017.12- 北京交通大学人工智能研究院常务副院长 2016.12- 二级教授 2013.5- 交通数据分析与挖掘北京市重点实验室主任 2008.11- 《北京交通大学学报》编委 2008.11-2009.5 TAMU,计算机科学系访问学者 2007.10-2017.12 北京交通大学计算机学院计算机科学系主任 2005.7- 北京交通大学计算机学院博士生导师 2004.12- 北京交通大学计算机学院教授 2004.6-2007.9 北京交通大学计算机学院计算机研究所所长 2004.3-2004.6 Queen Mary, University of London 计算机系访问学者 2002.7-2002.9 台湾新竹交通大学资讯工程系访问学者 2001.12-2004.11 北京(北方)交通大学计算机学院副教授 2000.11-2003.7 北方交通大学计算机学院计算机研究所人工智能与模式识别研究室主任 2000.7-2000.10 中国科学院声学所博士后 1998.5-2000.6 中国注册会计师, 北京兴中海会计师事务所 1994.8-1998.4 中国矿业大学北京研究生部讲师

研究领域

机器学习与认知计算 人工智能及应用 电子信息(专业学位) 计算机技术(专业学位) 软件工程(专业学位) 人工智能技术(专业学位)

科研项目 国家自然科学基金重点项目: 面向认知的多源数据学习理论与算法,2017-01-01--2021.12.31, 主持 基本科研业务费:高维数据子空间学习关键问题研究,2014-01-01--2015-12-31,8.0万元,参加 基本科研业务费:节点内容和链接相结合的社区发现方法研究,2014-01-01--2015-12-31,8.0万元,参加 基本科研业务费:动态网络的广义社区发现研究,2014-01-09--2015-01-01,5.0万元,参加 基本科研业务费:基于差分方程稳定性分析的划分聚类算法收敛性质分析,2014-01-09--2015-01-09,1.0万元,参加 北京市科委:基于大数据的交通计算若干问题研究,2013-11-01--2014-10-31,50.0万元,主持 教育部:“数字媒体信息处理” 教育部创新团队-子课题5,2013-01-01--2015-12-31,10.0万元,主持 北京交通大学:中移动大型数据中心土建造价模型,2013-10-01--2013-12-31,8.0万元,主持 国家自然科学基金“面上”:基于多标记学习的网络重叠社区发现模型及应用研究,2014-10-01--2017-12-31,77.0万元,主持 专项:临床研究支撑技术与临床科研一体化网络的研究,2009-12-31--2013-12-31,20.0万元,参加 基本科研业务费:动态社会网络社团演变分析与研究,2013-01-01--2013-12-31,1.0万元,参加 博士点基金:融合文本信息的图像语义理解关键技术研究,2013-01-01--2015-12-31,12.0万元,主持 专项:中医药临床医疗科研信息一体化,2012-01-01--2013-12-31,20.0万元,参加 北京交通大学:海航集团境外投资管理平台管理实时绩效技术服务,2011-11-30--2012-11-30,30.0万元,参加 科技部“863”:复杂装备运维服务专业化构件与系统开发,2012-03-10--2014-03-10,617.0万元,参加 专项:基于临床科研一体化技术平台的中风等疾病中医药临床诊疗研究,2010-10-08--2012-10-31,19.0万元,参加 北京市自然基金“面上”:复杂网络聚类分析及应用,2011-01-01--2013-12-31,11.0万元,主持 红果园:人机交互显控技术研究,2011-06-01--2011-12-31,100.0万元,参加 基本科研业务费:面向复杂网络的数据挖掘理论与应用技术研究,2011-07-01--2014-06-30,70.0万元,参加 国家重大专项(民口)-参加:中药新药临床试验示范研究,2009-03-30--2011-12-31,50.0万元,参加 国际科技合作计划:面向领域搜索的文本挖掘技术研究,2011-04-01--2013-03-31,60.0万元,参加 国家自然科学基金“重点”:基于认知模型的图像不变特征理论和关键技术,2011-01-01--2014-12-31,90.0万元,主持 北京交通大学:北京燃气信息统计系统维护项目,2011-01-25--2011-07-02,14.0万元,参加 北京市科委:名老中医经验适宜挖掘分析方法与技术研究,2009-11-01--2011-06-30,7.1万元,参加 国家自然科学基金:第五届粗糙集与知识技术国际学会,2010-10-01--2010-12-31,4.0万元,主持 国家重大专项(民口)-参加:冠心病血瘀证中药临床疗效评价关键技术的研究,2010-01-01--2011-12-31,25.0万元,主持 北京市科委:中医临床科研一体化完善与优化研究,2010-01-01--2010-12-31,9.0万元,参加 国家重大专项(民口)-参加:中医药防治艾滋病、病毒性肝炎等疾病临床科研一体化技术平台系构建及应用研究,2009-01-01--2010-12-31,100.0万元,参加 基本科研业务费:智能信息感知与状态识别,2009-12-01--2011-12-31,8.0万元,参加 基本科研业务费:智能信息感知与状态识别-机器学习先进理论与方法,2009-12-01--2011-12-31,8.0万元,主持 北京市科委:中医临床科研信息一体化技术体系及方法的完善与优化研究,2009-03-16--2010-03-16,9.0万元,参加 国家自然科学基金“面上”:基于相似性的认知模型与图像分析中的关键问题研究,2009-01-01--2011-12-31,50.0万元,主持 国家自然科学基金“面上”:近邻传播算法中的几个关键问题研究,2009-01-01--2011-12-31,28.0万元,主持 科技部“973”:心血管血栓性疾病“瘀毒”病因学的系统研究,2008-08-01--2011-12-01,3.0万元,参加 科技部“973”:辨证论治临床评价中的共性数据分析方法研究,2008-10-01--2010-09-01,10.0万元,参加 科技部“科技支撑”:应用马尔可夫决策过程模型、层次隐类模型、无尺度网络模型分析挖掘名老中医学术思想临证经验研究,2008-08-01--2010-12-31,10.0万元,参加 教育部“重点”:新闻事件话题识别、跟踪和观点分析的关键技术研究,2008-01-01--2011-01-01,10.0万元,参加 北京市科委:电动汽车电池信息远程监控软件界面的开发,2007-03-01--2007-12-31,2.0万元,参加 科技部“973”:非结构化数据的数学建模与机器学习,2007-07-01--2009-09-30,20.0万元,主持 科技部“973”:辨证论治临床评价中的共性数据分析方法研究,2007-06-01--2008-07-31,10.0万元,参加 北京交通大学:北京燃气统计信息化管理系统第二延伸合同,2007-10-01--2007-12-30,9.5万元,参加 北京交通大学:车辆管理系统,2007-11-01--2007-12-30,5.6万元,参加 教育部“新世纪优秀人才”:基于统计的聚类算法的性能评估与自动选择研究,2007-01-01--2009-12-31,50.0万元,主持 科技部“973”:可视媒体的交互与融合处理,2006-10-01--2011-10-31,384.0万元,参加 北京交通大学:统计信息管理系统延伸项目计划管理,2006-08-01--2007-08-31,10.0万元,参加 校科技基金:从不完整和小样本数据学习贝叶斯分类器,2006-01-01--2007-12-31,2.0万元,参加 北京交大科技发展中心:中国平凉门户网站建设,2005-11-20--2008-11-20,34.0万元,参加 北京交通大学:燃气公司统计信息系统,2005-07-01--2006-04-30,52.0万元,主持 博士点基金:机器学习中的教学间断理论,2006-01-01--2008-12-31,6.5万元,参加 其它部市:高新补充工程虚拟网络信息流生成软件,2004-07-01--2004-11-01,8.0万元,参加 北京交通大学:数字图书馆一卡通与网络配套系统,2004-01-31--2005-01-31,243.0万元,参加 国家自然科学基金:协同演化学习方法及其在数据挖掘中的应用,2004-01-01--2005-12-31,15.0万元,参加 北京交通大学:设备故障诊断专家系统软件,2004-04-30--2004-07-30,8.0万元,参加 校科技基金:计算智能及其在数据挖掘中的应用,2004-01-01--2006-12-31,10.0万元,参加 北京交通大学:辅助决策软件2,2004-01-01--2004-05-31,3.0万元,参加 国家自然科学基金:基于划分的一般聚类模型研究,2004-01-01--2006-12-31,26.0万元,主持 北京交通大学:石家庄信息工程职业学院数字图书馆,2003-09-12--2004-12-31,486.0万元,参加 北京交通大学:城市导航系统,2003-11-10--2004-01-20,4.0万元,参加 科技部:铁路运输信息化规划的研究—铁路基础信息管理的研究,2003-01-01--2003-12-31,30.0万元,参加 北京交大科技发展中心:高速铁路综合调度仿真系统,2003-09-01--2003-12-31,15.0万元,参加 校科技基金:网络安全中的若干智能技术研究,2002-11-01--2004-10-31,4.0万元,参加 北京交通大学:中铁集装箱统计分析系统,2002-10-12--2002-12-31,2.5万元,参加 北京交通大学:机务系统计划动态平衡关系管理与预测系统,2002-08-26--2002-12-26,18.0万元,参加 教育部:聚类算法中的参数选择理论,2002-01-01--2003-12-31,8.0万元,主持 铁道部科技司:铁路数据中心体系结构的研究与设计,2002-05-29--2003-10-31,50.0万元,参加 校科技基金:模糊聚类算法中的参数最优化研究,2002-04-21--2003-05-31,2.0万元,主持Rn国家自然科学基金“面上”:基于多标记学习的网络重叠社区发现模型及应用研究,2014-10-01--2017-12-31,77.0万元,主持

近期论文

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论文/期刊 (1) Ruisi He, Bo Ai, Andreas F. Molisch, Gordon L. Stüber, Qingyong Li, Zhangdui Zhong, Jian Yu: Clustering Enabled Wireless Channel Modeling Using Big Data Algorithms. IEEE Communications Magazine 56(5): 177-183 (2018) (2) Lixia Tian, Qizhuo Li, Chaomurilige Wang, Jian Yu: Changes in dynamic functional connections with aging. NeuroImage 172: 31-39 (2018) (3) Caiyan Jia, Matthew B. Carson, Xiaoyang Wang, Jian Yu: Concept decompositions for short text clustering by identifying word communities. Pattern Recognition 76: 691-703 (2018) (4) Bianfang Chai, Jinghong Wang, Jian Yu: A parameter selection method of the deterministic anti-annealing algorithm for network exploring. Neurocomputing 226: 192-199 (2017) (5) Jian Yu, Chaomurilige Wang, Miin-Shen Yang: On convergence and parameter selection of the EM and DA-EM algorithms for Gaussian mixtures. Pattern Recognition 77: 188-203 (2018) (6) Liu Yang, Liping Jing, Bo Liu, Jian Yu: Common latent space identification for heterogeneous co-transfer clustering. Neurocomputing 269: 29-39 (2017) (7) Chaomurilige, Jian Yu, Miin-Shen Yang: Deterministic annealing Gustafson-Kessel fuzzy clustering algorithm. Inf. Sci. 417: 435-453 (2017) (8) Jia Li, Chen-Yan Bai, Zhouchen Lin, Jian Yu: Automatic Design of High-Sensitivity Color Filter Arrays With Panchromatic Pixels. IEEE Trans. Image Processing 26(2): 870-883 (2017) (9) Jia Li, Chen-Yan Bai, Zhouchen Lin, Jian Yu: Optimized Color Filter Arrays for Sparse Representation-Based Demosaicking. IEEE Trans. Image Processing 26(5): 2381-2393 (2017) (10) Liping Jing, Chenyang Shen, Liu Yang, Jian Yu, Michael K. Ng: Multi-Label Classification by Semi-Supervised Singular Value Decomposition. IEEE Trans. Image Processing 26(10): 4612-4625 (2017) (11) Ruisi He, Qingyong Li, Bo Ai, Yang Li-Ao Geng, Andreas F. Molisch, Vinod Kristem, Zhangdui Zhong, Jian Yu: A Kernel-Power-Density-Based Algorithm for Channel Multipath Components Clustering. IEEE Trans. Wireless Communications 16(11): 7138-7151 (2017) (12) Bo Liu, Liping Jing, Jian Yu, Jia Li: Robust graph learning via constrained elastic-net regularization. Neurocomputing 171: 299-312 (2016) (13) Bojun Xie, Yi Liu, Hui Zhang, Jian Yu: A novel supervised approach to learning efficient kernel descriptors for high accuracy object recognition. Neurocomputing 182: 94-101 (2016) (14) Liu Yang, Liping Jing, Michael K. Ng, Jian Yu: A discriminative and sparse topic model for image classification and annotation. Image Vision Comput. 51: 22-35 (2016) (15) Chen-Yan Bai, Jia Li, Zhouchen Lin, Jian Yu: Automatic Design of Color Filter Arrays in the Frequency Domain. IEEE Trans. Image Processing 25(4): 1793-1807 (2016) (16) Liu Yang, Liping Jing, Jian Yu, Michael K. Ng: Learning Transferred Weights From Co-Occurrence Data for Heterogeneous Transfer Learning. IEEE Trans. Neural Netw. Learning Syst. 27(11): 2187-2200 (2016) (17) 于剑,语言与图灵测试,自动化学报, 2016, 42(5): 668-669 (18) Yu J. Generalized Categorization Axioms. arXiv preprint arXiv:1503.09082, 2015. (19) Yu J. Categorization Axioms for Clustering Results Axioms. arXiv preprint arXiv:1403.2065, 2015. (20) Yu J. Communication: Words and Conceptual Systems . arXiv preprint arXiv:1507.08073, 2015. (21) Chai B, Jia C, Yu J. An online expectation maximization algorithm for exploring general structure in massive networks. Physica A: Statistical Mechanics and its Applications, 2015, 438: 454-468. (22) Li Y, Jia C, Yu J. A parameter-free community detection method based on centrality and dispersion of nodes in complex networks. Physica A: Statistical Mechanics and its Applications, 2015, 438: 321-334. (23) Chaomurilige C, Yu J, Yang M S. Analysis of Parameter Selection for Gustafson-Kessel Fuzzy Clustering Using Jacobian Matrix,IEEE Trans. on Fuzzy System,2015,23(6),2329-2342 (24) Liu B, Jing L, Yu J, et al. Robust graph learning via constrained elastic-net regularization. Neurocomputing, 2016, 171: 299-312. (25) Chenyan Bai, Jia Li, zhouchen Lin, Jian Yu, Yen-Wei Chen, Penrose demosaicking. IEEE Trans. on Image Processing. VOL. 24, NO. 5, MAY 2015 (26) Zhang H, Liu Y, Xie B, Yu J. Spatially constrained sparse coding scheme for natural scene categorization. Journal of Visual Communication and Image Representation, 2015, 28: 28-35. (27) Xie B, Liu Y, Zhang H, Yu J. Efficient image representation for object recognition via pivots selection. Frontiers of Computer Science, 2015: 1-9. (28) Zhu J, Yu J, Wang C, et al. Object recognition via contextual color attention. Journal of Visual Communication and Image Representation, 2015, 27: 44-56. (29) Liu Yang, Liping Jing, Jian Yu, and Michael K. Ng. Learning transferred weights from co-occurrence data for heterogeneous transfer learning, IEEE Transactions on Neural Networks and Learning Systems, (in press). (30) 杨柳, 于剑, 景丽萍. 一种异构直推式迁移学习算法, 软件学报, vol. 26, no. 11, pp. 2762-2780, 2015. (31) 谢博鋆,朱杰,于剑.基于Pivots选择的有效图像块描述子.软件学报,2015,26(11):2930-2938 (32) 柴变芳, 贾彩燕, 于剑,基于概率模型的大规模网络结构发现方法,软件学报, 2014, 25(12): 2753-2766. (33) 柴变芳, 于剑, 贾彩燕*, 一种基于随机块模型的快速广义社区发现算法, 软件学报,2013.12 (34) Jie Zhu, Jian Yu, Chaomurilige Wang et al. Colour combination attention for object recognition[J]. Image Processing, IET, 2014, 8(9): 539-547. (35) Liyan Ma, Jian Yu, Tieyong Zeng, Sparse representation prior and total variation based image deblurring under impulse noise, SIAM Journal on Image Sciences,2013, 6(4): 2258-2284 (36) Liyan Ma, Lionel Moisan, Jian Yu, Tieyong Zeng. A Dictionary learning approach for Poisson image deblurring, IEEE Trans. Medical Imaging, 32(7), pp. 1277-1289 ,2013 (14) (37) Bian-fang Chai, Jian Yu, et al, Combining a popularity-productivity stochastic block model and a discriminative content model for general structure detection, Physical Review E. 2013, 88(1): 012807 (38) Liyan Ma, Michael K. Ng, Jian Yu, Tieyong Zeng. Efficient box-constrained TV-type-l1 Algorithms for Restoring Images with Impulse Noise. Journal of Computational Mathematics, 31(3):249-270, 2013 (4) (39) Jian Yu, M.S. Yang, Pengwei Hao, Clustering construction on a multimodal probability model, Information Sciences, 237:211-220, March, 2013 (40) Zhu Yan, Liping Jing, Jian Yu, A novel semi-supervised learning framework with simultaneous text representing, Knowledge and Information Systems, 34(3):547-562, March, 2013 (41) Jiang Y, Jia C, Yu J. An efficient community detection method based on rank centrality. Physica A: Statistical Mechanics and its Applications, 392 (2013) 2182–2194 (7) (42) 肖宇,于剑,加权的自适应相似度度量,计算机研究与发展, 50(9):1876-1882, 2013.9 (43) 杨柳,于剑,景丽萍, 一种自适应的大间隔近邻分类方法,计算机研究与发展, 50(11):2269-2277, 2013.11 (44) 柴变芳;于剑,贾彩燕,王静红,一种基于随机块模型的快速广义社区发现算法,软件学报,2013,24(11):2699-2709 2013 (45) Yu Xiao, Jian Yu, Partitive clustering (K-means family), WIREs Data Mining and Knowledge Discovery, 2012,2(3):209-225. (6) (46) Congyan Lang, Guangcan Liu, Jian Yu, Shuicheng Yan, Saliency Detection by Multitask Sparsity Pursuit, IEEE Trans. On Image Processing, 2012,21(3):1327-1338 (51) (47) J. Yun, Liping Jing, J. Yu and H. Huang, A multi-layer text classification framework based on two-level representation model, Expert systems with applications, 2012, 39 (2):2035-2046 (48) Wen-Liang Hung, Miin-Shen Yang, Jian Yu, Chao-Ming Hwang, Feature-Weighted Mountain Method with Its Application to Color Image Segmentation,International Journal of Computational Intelligence Systems, 4-5,1002 - 1011, 2011 (49) Jian Yu, Minn-Shen Yang, Pengwei Hao, A Novel Multimodal Probability Model for Cluster Analysis, Fundamenta Informaticae,111(1):81-90,2011 (50) Jian Yu, Miin-Shen Yang, E. Stanley Lee: Sample-weighted clustering methods. Computers & Mathematics with Applications 62(5): 2200-2208 (2011) )(3) (51) Yu Xiao, Tieyong Zeng, Jian Yu, Michael K. Ng: Restoration of images corrupted by mixed Gaussian-impulse noise via l1-l0 minimization. Pattern Recognition 44(8): 1708-1720 (2011) (48) (52) 于剑,相似性的二值表示,《计算机研究与发展》, 47(12):2117-2122, 2010, 12 (53) Liping Jing, Jiali Yun, Jian Yu, Houkuan Huang: Text Clustering via Term Semantic Units. Web Intelligence 2010: 417-420 (54) 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. 2009. (55) 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, 2008年11月 (30) (56) 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, 2008 (28) (57) 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. 2007 (26) (58) Jian Yu, “From the Guest Editor: Special Issue on fuzzy clustering and its applications”, International Journal of Fuzzy Systems, 9(4):187, December, 2007 (59) 于剑,“聚类算法的新进展:谱聚类综述”, 机器学习及其应用2007, 清华大学出版社, 2007,10 (60) 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, 2007 (61) Jian Yu, Cuixia Li, “A Novel cluster validity index for FCM algorithm”, Journal of Computer Science and Technology, 21(1), 137-140, Jan. 2006 (9) (62) 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, 2006年 19卷 2期, 143-148 (63) Jian Yu, “General c-means clustering model ”, IEEE Transactions on Pattern Analysis and Machine Intelligence, 27(8), 1197-1211, Aug. 2005 (57) (64) 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 2005 (65) 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, 2005 (66) Jian Yu, Chao Shao, Youfang Lin, Houkuan Huang, “why m>1 in the FCM algorithm”, Chinese Journal of Electronics, 14(2): 215-219, April, 2005 (67) 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, 2005 (32) (68) 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.2005 (56) (69) 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,2005年 第29卷 第02期: 17-21 (16) (70) 张敏, 于剑,“基于划分的模糊聚类算法”, 软件学报, 2004,15(6),858-868 (127) (71) 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.2004 (103) (72) 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.2003 (73) 于剑, “论模糊c均值算法的模糊指数”, 计算机学报, vol.26 (8), 968-973,2003.8 (52) (74) 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, 2003.6 (75) 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, 2003.3 (24) (76) Jian Yu, Houkuan Huang, “A weighting fuzzy c-means algorithm”, FUZZ-IEEE 2003, v.2, 896-901, May, 2003 (77) Jian Yu, Houkuan Huang, “An efficient optimality test for the fuzzy c-means algorithm”, FUZZ-IEEE 2002, v.1, 98-103, May, 2002 (19) (78) 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 (78) (79) 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(19) (80) 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 (81) Jian Yu, Qiansheng Cheng, “A note on rough set and non-measurable set”, Chinese Science Bulletin, 45(16), 1456-1458, Aug. 2000 (82) 于剑, 程乾生, “粗集与不可测集”, 科学通报,45(7),686-688, 2000.4 会议论文: (83) Liping Jing, Liu Yang, Jian Yu, Michael K. Ng. Semi-supervised low-rank mapping learning for multi-label classification, in the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015, pp. 1483-1491. (84) Liu Yang, Liping Jing, and Jian Yu. Common latent space identification for heterogeneous co-transfer clustering, in the 2015 International Conference of Intelligence Science and Big Data Engineering (ISCIDE), 2015. (EI, best student paper award) (85) Jing L, Deng D, Yu J. Weighting Exponent Selection of Fuzzy C-Means via Jacobian Matrix[M]//Knowledge Science, Engineering and Management. Springer International Publishing, 2014: 115-126. (86) Liu Yang, Liping Jing, and Jian Yu. Heterogeneous co-transfer spectral clustering, in the 9th International Conference on Rough Sets and Knowledge Technology (RSKT), 2014, pp. 352-363. (87) Hui Zhang, Yi Liu, Bojun Xie, Jian Yu, A Boosting Approach To Learning Receptive Fields For Scene Categorization, 20th IEEE International Conference on Image Processing (ICIP), 2013, pp 265-269 (88) Bojun Xie, Yi Liu, Hui Zhang, Jian Yu, Efficient Kernel Descriptor For Image Categorization Via Pivots Selection, 20th IEEE International Conference on Image Processing (ICIP), 2013, pp 3479-3483 (89) Yan Zhu, Liping Jing, Yu Jian, Text Clustering via Constrained Nonnegative Matrix Factorization,ICDM 2011 (90) Liyan Ma, Jian Yu, Texture Segmentation Based on Local Feature Histograms, ICIP 2011 (91) J. Yu and Caiyan Jia, Data Clustering by Scaled Adjacency Matrix, accepted by KSEM 2011. (92) Liping Jing and J. Yu, Text clustering based on Granular computing and Wikipedia, Accepted by RSKT2011. (93) J. Yu and Liping Jing, Least absolute deviation cut, Accepted, RSKT2011. (94) Jiali Yun, Liping Jing, Jian Yu, Houkuan Huang: Unsupervised Feature Weighting Based on Local Feature Relatedness. PAKDD (1) 2011: 38-49 (95) Liping Jing, Jiali Yun, Jian Yu, Joshua Zhexue Huang: High-Order Co-clustering Text Data on Semantics-Based Representation Model. PAKDD (1) 2011: 171-182 (96) Jian Yu, Salvatore Greco, Pawan Lingras, Guoyin Wang, Andrzej Skowron: Rough Set and Knowledge Technology - 5th International Conference, RSKT 2010, Beijing, China, October 15-17, 2010. Proceedings Springer 2010 (97) 张尚超,于剑, 一种基于连通性的聚类有效性指标, CCPR 2010 (98) Jiali Yun, Liping Jing, Jian Yu, Houkuan Huang: Semantics-Based Representation Model for Multi-layer Text Classification. KES (2) 2010: 1-10 (99) Wen-Liang Hung, Miin-Shen Yang, Jian Yu, Chao-Ming Hwang: Feature-Weighted Mountain Method with Its Application to Color Image Segmentation. RSKT 2010: 537-544 (100) Y. Xiao, J. Yu, Data clustering based on family resemblance, In 3rd International Congress on Image and Signal Processing, 3: 1373-1377, 2010 (101) Ma, J. Yu, A new fast active contour method for noise image segmentation, In 3rd International Congress on Image and Signal Processing, 3: 1278-1281, 2010 (102) L. Ma, J. Yu. An Unconstrained Hybrid Active Contour Model for Image Segmentation. In 10th international conference on signal processing, 2:1098-1101, 2010 (103) Caiyan Jia, Yawen Jiang, Jian Yu: Affinity Propagation on Identifying Communities in Social and Biological Networks. KSEM 2010: 597-602 (104) Jian Yu Caiyan Jia: Convergence Analysis of Affinity Propagation, KSEM 2009 (105) Yan Zhu, Liping Jing, and Jian Yu, New Labeling Strategy for Semi-supervised Document Categorization, KSEM 2009 (106) Jian Yu, Miin-Shen Yang, Pengwei Hao: A Novel Multimodal Probability Model for Cluster Analysis. RSKT 2009: 397-404 (107) 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, 2008 (28) (108) Zhu, Yan; Yu, Jian , A Novel Method to Calculate Sample Weights for FCM Regression, 151-156, FSKD 2008 (109) Jian Yu, Pengwei Hao, “The worse clustering performance analysis’”, Proc. Of GrC 2007,437-441 (110) Ding ZJ, Yu J, Zhang YQ, A new improved K-means algorithm with penalized term, Proc. Of GrC 2007, 313-317 (111) Yan Li, Jian Yu, Pengwei Hao, et al, “Clustering Ensembles based on Normalized Edges”, PAKDD 2007, Nanjing University, May 2007 (112) Cuixia Li, Jian Yu, “A Novel Fuzzy C-means clustering algorithm”, LNAI 4062:510-515, July. 2006. Chongqing, China (113) Jian Yu, Houkuan Huang & Shengfeng Tian, “Cluster validity and stability of clustering algorithms”, JOINT IAPR INTERNATIONAL WORKSHOPS ON Syntactical and Structural Pattern Recognition (SSPR 2004) and Statistical Pattern Recognition (SPR 2004), Lisbon, Portugal, Lecture Notes in Computer Science, Springer-Verlag Heidelberg, no.3138, 957-965, August 18-20, 2004 (114) Jian Yu, Pengwei Hao, “On soft learning vector quantization based on reformulation”, ISNN 2004, Lecture Notes in Computer Science, Springer-Verlag Heidelberg,, no.3173,168-173, August 20-23, 2004, Dalian (115) Shengfeng Tian, Jian Yu, Chuanyuan Yin, “Anomaly Detection Using Support Vector Machines”, ISNN 2004, Lecture Notes in Computer Science, Springer-Verlag Heidelberg,, no.3173, 592-597, August 20-23, 2004, Dalian (116) Ying Chen, Pengwei Hao and Jian Yu, "Shear-Resize Factorizations for Fast Multi-Modal Volume Registration", International Conference on Image Processing (ICIP) 2004,v.2: 1085-1088, Oct. 24-27, 2004, Singapore (117) Jian Yu, “General c-means clustering model and its applications”, IEEE Computer Society Conference on Computer Vision and Pattern Recognition 2003 (CVPR2003), v.2, 122-127, June. 2003 (70) (118) Jian Yu, Minn-Shen Yang, “A study on Generalized FCM ”, RSFDGrC'2003, Lecture Notes in Artificial Intelligence, Springer-Verlag Heidelberg, no.2639,390-393, May, 2003 专著/译著 于剑著,《机器学习:从公理到算法》,清华大学出版社,2017年7月出版 李德毅(主编)、于剑(执行主编):《人工智能导论》,中国科学技术出版社,2018年8月

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2020.01-2023.12 中国计算机学会人工智能与模式识别专委会主任 2019.10- 中国人工智能学会副秘书长兼常务理事 2019.10-2022 教育部高等学校计算机类专业教学指导委员会人工智能专家委员会委员 2018.12- 智能计算与信息处理教育部重点实验室学术委员 2018.08- Chinese Journal of Electronics 编委 2018.03- 高等教育出版社“新一代人工智能教材编委会”编委 2018.01- 中国计算机学会会士(CCF 会士) 2017.08- 《模式识别与人工智能》编委 2017.01- 智能交通数据安全与隐私保护技术北京市重点实验室学术委员 2016.12- 山西大学计算智能与中文信息处理教育部重点实验室学术委员 2016.01-2019.12 中国计算机学会人工智能与模式识别专委会秘书长 2015.8- 计算机研究与发展编委 2012.8- 计算机学报编委 2012.4- 软件学报编委 2012.2- 计算机科学编委 2012.2- 计算机科学与探索编委 2011.3- 《中国科技论文在线》电子与信息(卷)编委 2010.12- 数字出版技术国家重点实验室学术委员会委员 2010.8- 中国人工智能学会机器学习专业委员会副主任委员 2008.4- 中国计算机学会理事 2008.4-2015.12 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

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