论文/期刊

(1)于剑，图灵测试的明与暗，计算机研究与发展，57(5):906-911(2020)

(3)Dong Deng,Liping Jing, Jian Yu,Shaolong Sun,Michael K. Ng:
Sentiment Lexicon

Construction With Hierarchical Supervision Topic Model.IEEE/ACM Trans. Audio, Speech &

Language Processing 27(4): 704-718 (2019)

(4)Yafang Li,Caiyan Jia,Xiangnan Kong,Liu Yang, Jian Yu:
Locally Weighted Fusion of Structural and Attribute

Information in Graph Clustering.IEEE Trans. Cybernetics 49(1): 247-260 (2019)

(5)Jialin Hua, Jian Yu,

Miin-ShenYang, Fast clustering for signed graphs based on random walk gap, Social

Networks, in press (2018)

(6)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)

(7)Lixia Tian,Qizhuo Li,Chaomurilige Wang, Jian Yu:

Changes in dynamic functional connections with aging.NeuroImage 172: 31-39 (2018)

(8)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)

(9)Bianfang Chai,Jinghong Wang, Jian Yu: A parameter selection method of the

deterministic anti-annealing algorithm for network exploring.Neurocomputing 226: 192-199 (2017)

(10)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)

(11)Liu Yang,Liping Jing,Bo Liu, Jian Yu: Common latent space identification for heterogeneous

co-transfer clustering.Neurocomputing 269: 29-39 (2017)

(12)Chaomurilige, Jian Yu,Miin-Shen Yang: Deterministic annealing

Gustafson-Kessel fuzzy clustering algorithm.Inf. Sci. 417: 435-453 (2017)

(13)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)

(14)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)

(15)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)

(17) Bo Liu, Liping Jing, Jian Yu, Jia Li: Robust graph learning via constrained elastic-net regularization. Neurocomputing 171: 299-312 (2016)

(18) 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)

(19) 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)

(20) 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)

(21) 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)

(22) 于剑，语言与图灵测试，自动化学报， 2016，

42(5)： 668-669

(23) Yu J. Generalized Categorization Axioms. arXiv preprint arXiv:1503.09082,

2015.

(24) Yu J. Categorization Axioms for

Clustering Results Axioms. arXiv preprint arXiv:1403.2065, 2015.

(25) Yu J. Communication: Words

and Conceptual Systems . arXiv preprint arXiv:1507.08073, 2015.

(26) 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.

(27) 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.

(28) 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

(29) Liu B, Jing L, Yu J, et al.

Robust graph learning via constrained elastic-net regularization.

Neurocomputing, 2016, 171: 299-312.

(30) Chenyan Bai, Jia Li, zhouchen Lin, Jian

Yu, Yen-Wei Chen, Penrose demosaicking. IEEE Trans. on Image

Processing.  VOL. 24, NO. 5, MAY 2015

(31) 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.

(32) Xie B, Liu Y, Zhang H, Yu J.

Efficient image representation for object recognition via pivots selection.

Frontiers of Computer Science, 2015: 1-9.

(33) 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.

(34) 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).

(35) 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.

(36) 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

(37) 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.

(38) 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

(39) Jie Zhu, Jian Yu, Chaomurilige

Wang et al. Colour combination attention for object recognition[J]. Image

Processing, IET, 2014, 8(9): 539-547.

(40) 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 (5)

(41) 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)

(42) 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

(43) 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)

(44) Jian Yu, M.S. Yang, Pengwei Hao,

Clustering construction on a multimodal probability model, Information

Sciences, 237:211-220, March, 2013

(45) 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

(46) 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)

(47) 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

(48) 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

(49) 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

(50) Yu Xiao, Jian Yu, Partitive

clustering (K-means family), WIREs Data Mining and Knowledge Discovery,

2012,2(3):209-225. (6)

(51) 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)

(52) 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

(53) 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

(54) Jian Yu, Minn-Shen Yang, Pengwei

Hao, A Novel Multimodal Probability Model for Cluster Analysis, Fundamenta

Informaticae，111(1)：81-90，2011

(55) Jian Yu, Miin-Shen Yang, E.

Stanley Lee: Sample-weighted clustering methods. Computers & Mathematics

with Applications 62(5): 2200-2208 (2011)

)(3)

(56)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)

(57) 于剑，相似性的二值表示,《计算机研究与发展》, 47(12)：2117-2122， 2010, 12

(58) Liping Jing, Jiali Yun, Jian Yu, Houkuan Huang: Text Clustering via

Term Semantic Units. Web Intelligence 2010: 417-420

(59) 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.

(60) 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)

(61) 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)

(62) 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)

(63) Jian Yu, “From the Guest Editor:

Special Issue on fuzzy clustering and its applications”, International Journal

of Fuzzy Systems, 9(4):187, December, 2007

(64) 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

(65) 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

(66) 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)

(67) 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

(68) Jian Yu, “General c-means clustering model ”, IEEE Transactions on Pattern

Analysis and Machine Intelligence, 27(8), 1197-1211, Aug. 2005  (57)

(69) 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

(70) 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

(71) 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

(72) 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)

(73) 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)

(74) 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)

(75) 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)

(76) 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)

(77) 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

(78) 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)

(79) 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

(80) 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)

(81) Jian Yu, Houkuan Huang, “A weighting fuzzy c-means algorithm”, FUZZ-IEEE 2003,

v.2, 896-901, May, 2003

(82) Jian Yu, Houkuan Huang, “An efficient optimality test for the fuzzy c-means

algorithm”, FUZZ-IEEE 2002, v.1, 98-103, May, 2002 (19)

(83) 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)

(84) 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)

(85) 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

(86) Jian Yu, Qiansheng Cheng, “A note on rough set and non-measurable set”, Chinese

Science Bulletin, 45(16), 1456-1458, Aug. 2000

(87) 于剑,

程乾生, “粗集与不可测集”， 科学通报，45(7),686-688, 2000.4