School of Computer Science & Technology

     

Jian Yang, Professor (PhD)

School of Computer Science and Technology,

Nanjing University of Science and Technology,

Nanjing, 210094, P.R. China

Phone (Office): +86 25 8431 7297 Ext. 307

 

Email: csjyang@njust.edu.cn

Web: http://www.patternrecognition.cn/~jian/

 

 

Chinese Links:

计算机学院

研究生院

 

 
Education

Sep 1999 - Jun 2002   Ph.D. in Pattern Recognition and Intelligence System, Department of Computer Science,

                                    Nanjing University of Science and Technology.

Sep 1995 - Jun 1998   M.S. in Applied Mathematics, Department of Mathematics, Changsha Railway University.

Sep 1991 - Jul 1995   B.S. in Mathematics, Department of Mathematics, Xuzhou Normal University.

 

Employment

 

Sep 2007- Present        Professor, School of Computer Science and Technology, Nanjing University of Science and Technology

Apr 2011-Sep 2011     Visiting Associate, Computation and Neural Systems, California Institute of Technology

Nov 2009 – Dec 2009  Visiting Fellow, Department of Mathematics, National University of Singapore 

Nov 2006 - Sep 2007  Postdoctoral Fellow, Department of Computer Science, New Jersey Institute of Technology, USA

Apr 2004 – Nov 2006  Research Associate and Postdoctoral Fellow, Biometric Centre, Department of Computing, Hong Kong Polytechnic University

Jan 2004 - Dec 2005   Postdoctoral Researcher, Department of Computer Science, Nanjing University of Science and Technology

Jan 2003 - Dec 2003   Postdoctoral Researcher, Computer Vision Group, Aragon Institute of Engineering Research, University of Zaragoza, Spain

Sep 1998 - Dec 2002  Assistant Professor, Department of Applied Mathematics, Nanjing University of Science and Technology.

Academic Activities

Associate editor of  the following journals:

 IEEE Transactions on Neural Networks and Learning Systems, (2012-)

 Pattern Recognition Letters, (2008-)

 Neurocomputing, (2008-2011)

 

Activities in Academic Conferences:

Vision And Learning SEminar (VALSE 2013), Local Chair

Sino-foreign-interchange Workshop on Intelligence Science and Intelligent Data Engineering (IScIDE 2012), Program Chair

The first Asia Conference on Pattern Recognition (ACPR 2011), PC Member;

International Joint Conference on Biometrics (IJCB 2011), Program Committee (PC) Member;

2010 IEEE Fourth International Conference on Biometrics: Theory, Applications and Systems, Program Committee (PC) Member

2009 Chinese Conference on Pattern Recognition, Program Chair;

2008 Chinese Conference on Pattern Recognition, Program Committee (PC) Member;

2008 International Conference on Computational Intelligence and Security (CIS'08), PC Member

Research Interests

Statistical methods for pattern recognition and computer vision with emphases on discriminant analysis, feature extraction, dimensionality reduction (subspace learning), manifold learning, kernel methods and sparse representation;

Biometrics particularly on face recognition

 

Research Projects

 

1.     Pattern Recognition and Intelligent Systems, supported by the National Science Fund for Distinguished Young Scholars (Grant No. 61125305; Duration: Jan 2012-Dec 2015), Principal researcher

2.     Sparse theory based image feature extraction and classification methods, supported by National Science Foundation of China (Grant NO. 60973098; Duration: Jan 2010-Dec 2012), Principal researcher

3.     Discriminant analysis, dimensionality reduction and data fusion research, Supported by the Program for New Century Excellent Talents in University of China (Duration: Jan 2009-Dec 2011), Principal researcher

4.     Color images based face recognition methods, Supported by the NUST Outstanding Scholar Supporting Program (Duration: Jan 2009-Dec 2011), Principal researcher

5.     Theory and technologies of discriminant analysis for dealing with high-dimensional information (Key Program), supported by the National Natural Science Foundation of China (Grant No. 60632050Duration: Jan. 2007-Dec. 2010), Researcher

 

Awards

In 2010, I was granted SCOPUS Young Researcher Award of Information Science

In 2009, the co-fulfilled research project “Theory and algorithms for Feature Extraction” was granted the Second Prize of the National Science Award

In 2009, I was granted Youth Science and Technology Award of China

In 2008, the co-fulfilled research project “Feature Extraction: theory, algorithms and applications” was granted the First Prize of Progress in Science and Technology of Jiangsu Province

In 2007, my journal paper “Theory of Fisher linear discriminant analysis and its application” was awarded the Excellent Academic Paper by the Science and Technology Association of China

In 2004, my doctoral dissertation was nominated for “National Excellent Doctoral Dissertation of China”.

In 2004, my doctoral dissertation “Linear Projection Analysis: Theory, Algorithms, and Applications in Feature Extraction” was granted the “Excellent Doctoral Dissertation Award” by the Graduate School of Nanjing University of Science and Technology

 

Google Citations

 

http://scholar.google.com.hk/citations?user=6CIDtZQAAAAJ&hl=zh-CN&oi=ao

 

Publications

Selected International Journal Papers

 

In print:

1.      Jian Yang, Jianjun Qian, Lei Luo, Fanlong Zhang, Yicheng Gao, Nuclear Norm based Matrix Regression with Applications to Face Recognition with Occlusion and Illumination Changes, arXiv:1405.1207

2.      Jun Li, Wei Luo, Jian Yang, Xiaotong Yuan, Why does the unsupervised pretraining encourage moderate-sparseness? arXiv:1312.5813

Published or Accepted:

3.      Jielin Jiang, Lei Zhang, Jian Yang, Mixed Noise Removal by Weighted Encoding with Sparse Nonlocal Regularization, IEEE Trans. on Image Processing, to appear

4.      Yong Xu, Xiaozhao Fang, Xuelong Li, Jian Yang, et al. Data Uncertainty in Face Recognition, IEEE Trans. Systems, Man, and Cybernetics, Part B, to appear

5.      Guangwei Gao, Jian Yang, Jianjun Qian, Lin Zhang, Integration of multiple orientation and texture information for finger-knuckle-print verification, Neurocomputing, to appear

6.      Yong Xu, Xuelong Li, Jian Yang, Zhihui Lai and David Zhang, Integrating Conventional and Inverse Representation for Face Recognition, IEEE Trans. Systems, Man, and Cybernetics, Part B, to appear

7.      Zizhu Fan, Yong Xu, Wangmeng Zuo, Jian Yang, et al. Modified Principal Component Analysis (MPCA): An Integration of Multiple Similarity Subspace Models, IEEE Trans. Neural Networks and Learning Systems, to appear

8.      Zhihui Lai, Yong Xu, Qingcai Chen, Jian Yang, David Zhang, Multilinear Sparse Principal Component Analysis, IEEE Trans. Neural Networks and Learning Systems, to appear

9.      Jinhui Chen, Jian Yang, Robust Subspace Segmentation via Low-Rank Representation, IEEE Trans. Systems, Man, and Cybernetics, Part B, to appear

10.    Guangwei Gao, Jian Yang, A Novel Sparse Representation based Framework for Face Image Super-Resolution, Neurocomputing, to appear.

11.    Jianjun Qian, Jian Yang, Histogram of Visual Words based on Locally Adaptive Regression Kernels Descriptors for Image Feature Extraction, Neurocomputing, 129 (2014) 516 – 527.

12.    Fa Zhu, Jian Yang, Ning Ye, Cong Gao, Guobao Li, Tongmin Yin, Neighbors' distribution property and sample reduction for support vector machines, Applied Soft Computing, 2014, 16, 201-209

13.    Yong Xu, Xuelong Li, Jian Yang, David Zhang, Integrate the original face image and its mirror image for face recognition. Neurocomputing, 131 (2014) 191-199

14.    Jun Li, Jian Yang, Continuous Attractors of Higher-order Recurrent Neural Networks, Neurocomputing, 2014, vol. 131, 388396.

15.    Jian Zhang, Jian Yang, Linear Reconstruction Measure Steered Nearest Neighbor Classification Framework, Pattern Recognition, 47 (2014) 1709–1720.

16.    Su-Jing Wang, Shuicheng Yan, Jian Yang, Chun-Guang Zhou, A General Exponential Framework for Dimensionality Reduction, IEEE Trans. on Image Processing, 2014, 23(2), 920-930.

17.    Jie Xu, Jian Yang, Median-mean Line based Discriminant Analysis, Neurocomputing, 2014, vol. 123, 233-246.

18.    Hui Yan, Jian Yang, Joint Laplacian feature weights learning. Pattern Recognition, 2014, 47(3), 1425-1432.

19.    Yuting Tao, Jian Yang, Enhanced iterative projection for subclass discriminant analysis under EM alike framework, Pattern Recognition, 2014, 47(3), 1113-1125.

20.    Cun-lai Pu, Wei Cui, Jian Yang, Tunable path centrality: Quantifying the importance of paths in networks, Physica A, 405: 267-277, 2014.

21.    Xiaobo Chen, Jian Yang, Qirong Mao, Fei Han, Regularized least squares Fisher linear discriminant with applications to image recognition, Neurocomputing, 2013, vol. 122, 521-534.

22.    Shangbin Gao, Jian Yang, Saliency based localizing active contour for Automatic Natural Object Segmentation, IET Image Processing, 2013, 7(9), pp.787 – 794.

23.    Guangwei Gao, Lei Zhang, Jian Yang, Lin Zhang, David Zhang. Reconstruction based Finger-Knuckle-Print Verification with Score Level Adaptive Binary Fusion, IEEE Trans. on Image Processing, 2013, 22(12), 5050-5062.

24.    Zhihui Lai, Yong Xu, Jian Yang and David Zhang, Sparse Tensor Discriminant Analysis, IEEE Trans. on Image Processing, 2013, 22(10), 3904-3915.

25.    Jianjun Qian, Jian Yang, Yong Xu, Local Structure-based Image Decomposition for Feature Extraction with Applications to Face Recognition, IEEE Trans. on Image Processing, 2013, 22(9), 3591-3603

26.    Jianjun Qian, Jian Yang, Guangwei Gao, Discriminative Histograms of Local Dominant Orientation (D-HLDO) for Biometric Image Feature Extraction, Pattern Recognition, 2013, 46(10),2724-2739

27.    Yan Cui, Chunhou Zheng, Jian Yang, Sparse Maximum Margin Discriminant Analysis for Feature Extraction and Gene Selection on Gene Expression Data, Computers in Biology and Medicine, 43(7) (2013), pp. 933-941

28.    Jian Yang, Delin Chu, Lei Zhang, Yong Xu, Jingyu Yang, Sparse Representation Classifier Steered Discriminative Projection with Applications to Face Recognition, IEEE Transactions on Neural Networks and Learning Systems,24(7), 2013, 1023-1035.

29.    Jie Xu, Jian Yang, K-local Hyperplane Distance Nearest Neighbor Classifier Oriented Local Discriminant Analysis, Information Sciences, 2013, 232, 11-26.

30.    Nan Zhang, Jian Yang, Low-rank Representation based Discriminative Projection for Robust Feature Extraction, Neurocomputing, 2013, 111, 13-20.

31.    Meng Yang, Lei Zhang, Jian Yang and David Zhang, Regularized Robust Coding for Face Recognition, IEEE Trans. on Image Processing, 2013, 22(5), 1753-1766.

32.    Yan Cui, Chunhou Zheng, Jian Yang, Identifying Subspace Gene Clusters from Microarray Data Using Low-Rank Representation, PLOS ONE, 2013, 8(3): e59377.

33.    X. Chen, J. Yang, David Zhang, Complete Large Margin Linear Discriminant Analysis Using Mathematical Programming Approach, Pattern Recognition, 2013, 46(6): 1579-1594

34.    Yan Cui, Chunhou Zheng, Jian Yang, Dimensionality reduction for microarray data using local mean based discriminant analysis, Biotechnology Letters, 2013, 35(3): 331-336

35.    Jie Xu, Jian Yang, A nonnegative sparse representation based fuzzy similar neighbor classifier, Neurocomputing, 2013, 99(1), 76-86

36.    Zhenghong Gu, Jian Yang, Sparse margin-based discriminant analysis for feature extraction. Neural Computing and Applications, 2013, 23(6): 1523-1529.

37.    Cun-Lai Pu, Jian Yang, et al, Robustness analysis of static routing on networks, Physica A, 392(15):3293-3300, 2013.

38.    Dong-Jun Yu, Hong-Bin Shen, Xiao-Wei Wu, Jian Yang, et al. Enhancing Membrane Protein Subcellular Localization Prediction by Parallel Fusion of Multi-View Features, IEEE Transactions on Nanobioscience, 2012, 11(4), 375-385

39.    Xiao-Yuan Jing, Sheng Li, David Zhang, Jian Yang, and Jing-Yu Yang, Supervised and Unsupervised Parallel Subspace Learning for Large-scale Image Recognition, IEEE Transactions on Circuits and Systems for Video Technology, 2012, 22(10): 1497-1511.

40.    Shangbin Gao, Jian Yang, A Local Modified Chan-Vese Model for Segmenting Inhomogeneous Multiphase Images, International Journal of Imaging Systems and Technology, 2012, 22(2), 103-113.

41.    X. Chen, J. Yang, J. Liang. A Flexible Support Vector Machine for Regression. Neural Computing and Applications, 2012, 21(8) 2005-2013.

42.    Zhihui Lai, Zhong Jin, Jian Yang, Mingming Sun, Dynamic transition embedding for image feature extraction and recognition, Neural Computing and Applications, 2012, 21(8) 1905-1915.

43.    Nan Zhang, Jian Yang, Jian-jun Qian, Component-based Global k-NN Classifier for Small Sample Size Problems, Pattern Recognition Letters, 2012, 33(13), 1689-1694

44.    Zhihui Lai, W. K. Wong, Zhong Jin, Jian Yang, and Yong Xu, Sparse Approximation to the Eigensubspace for Discrimination, IEEE Transactions on Neural Networks and Learning Systems, 2012, 23(12), 1948 - 1960

45.    Su-Jing Wang, Jian Yang, Ming-Fang Sun, Xu-Jun Peng, Ming-Ming Sun, and Chun-Guang Zhou, Sparse Tensor Discriminant Color Space for Face VerificationIEEE Transactions on Neural Networks and Learning Systems, 2012, 23(6): 876-888

46.    Jun Li, Jian Yang, Weigen Wu, Stability and periodicity of discrete Hopfield neural networks with column arbitrary-magnitude-dominant weight matrix, Neurocomputing, 82 (2012) pp. 52-61.

47.    Jian Yang, Lei Zhang, Yong Xu, Jing-Yu Yang, Beyond Sparsity: the Role of L1-optimizer in Pattern Classification, Pattern Recognition, 2012, 45(3), pp. 1104-1118.

48.    Xiaobo Chen, Jian Yang, Jun Liang, Qiaolin Ye, Recursive Robust Least Squares Support Vector Regression based on Maximum Correntropy Criterion, Neurocomputing, 2012, 97: 63-73.

49.    Xiaobo Chen, Jian Yang, Jun Liang, Qiaolin Ye, Smooth Twin Support Vector Regression, Neural Computing and Applications, 2012, 21(3) 505-513

50.    Yong Xu, Aini Zhong, Jian Yang, David Zhang, Bimodal biometrics based on a representation and recognition approach, Optical Engineering, 2011, 50(3), 037202.

51.    Jie Xu, Jian Yang, Mean representation based classifier with its applications, Electronic Letters, 2011, 47(18), 1024-1026.

52.    Yong Xu, David Zhang, Jian Yang, Jing-Yu Yang, A two-phase test sample sparse representation method for use with face recognition, IEEE Transactions on Circuits and Systems for Video Technology, 2011, 21(9), 1255 – 1262.

53.    Jian Yang, Lei Zhang, Jing-Yu Yang, David Zhang, From Classifiers to Discriminators: A Nearest Neighbor Rule Induced Discriminant Analysis, Pattern Recognition, 2011, 44(7), 1387-1402

54.    Su-Jing Wang, Jian Yang, Na Zhang, Chun-Guang Zhou, Tensor Discriminant Color Space for Face Recognition, IEEE Transactions on Image Processing, 2011, vol. 20, no. 9, pp. 2490-2501

55.    Xiaobo Chen, Jian Yang, Qiaolin Ye, Jun Liang, Recursive Projection Twin Support Vector Machine via Within-Class Variance Minimization, Pattern Recognition, 2011, 44(10-11), 2643-2655

56.    B. Peng, L. Zhang, D. Zhang and J. Yang, “Image Segmentation by Iterated Region Merging with Localized Graph Cuts”, Pattern Recognition, 2011, 44(10-11), 2527-2538.

57.    Xiaobo Chen, Jian Yang, Optimal Locality Regularized Least Squares Support Vector Machine via Alternating Optimization, Neural Processing Letters, 2011, vol. 33, no. 3, pp. 301-315

58.    Jian Yang, Kernel feature extraction methods observed from the viewpoint of generating-kernels, Frontiers of Electrical and Electronic Engineering in China (Invited paper), 2011, 6(1), 43-55

59.    Zhihui Lai, Minghua Wan, Zhong Jin, Jian Yang, Sparse two-dimensional local discriminant projections for feature extraction. Neurocomputing, 2011, 74(4): 629-637

60.    Hui Yan, Jian Yang, Jing-Yu Yang, Bimode model for face recognition and face representation, Neurocomputing, 2011, 74(5), 741-748

61.    Zuoyong Li,  Jian Yang, Guanghai Liu, Yong Cheng, Chuancai Liu, Unsupervised range-constrained thresholding, Pattern Recognition Letters, 2011, 32(16), 392-402.

62.    Zhenghong Gu, Jian Yang, Lei Zhang, Push-Pull marginal discriminant analysis for feature extraction, Pattern Recognition Letters, 2010, 31(15), 2345-2352.

63.    Yong Xu, Aini Zhong, Jian Yang, David Zhang, LPP solution schemes for use with face recognition, Pattern Recognition, 2010, 43(12), 4165-4176. 

64.    Ming-ming Sun, Jian Yang, Chuancai Liu, and Jing-yu Yang, Similarity Preserving Principal Curve: an Optimal 1-D Feature Extractor for Data Representation, IEEE Transactions on Neural Networks, 2010, 21(9), 1445-1456.

65.    Ming-ming Sun, Chuancai Liu, Jian Yang, and Jing-yu Yang, A two-step framework for highly nonlinear data unfolding, Neurocomputing, 2010, 73 (10-12), pp. 1801~1807.

66.    Zhiming Liu, Jian Yang, Chengjun Liu, Extracting Multiple Features in the CID Color Space for Face Recognition, IEEE Transactions on Image Processing, 2010, vol. 19, no. 9, pp. 2502-2509.

67.    Jian Yang, Chengjun Liu, Jing-Yu Yang, What kind of color spaces is suitable for color face recognition? Neurocomputing, 2010,73(10-12), pp. 2140-2146

68.    Yuting Tao, Jian Yang, Quotient vs. Difference: Comparison between the two discriminant criteria, Neurocomputing, 2010, 73 (10-12), pp. 1808-1817.

69.    Mingming Sun, Chuancai Liu, Jian Yang, Zhong Jin, Jingyu Yang, A Two-Step Framework for Highly Nonlinear Data Unfolding, Neurocomputing, 2010, 73 (10-12), pp.1801-1807.

70.    Jian Yang, Chengjun Liu, Lei Zhang, Color Space Normalization: Enhancing the Discriminating Power of Color Spaces for Face Recognition, Pattern Recognition, 2010, 43(4), 1454-1466.

71.    Chengjun Liu, Jian Yang, ICA Color Space for Pattern Recognition, IEEE Transactions on Neural Networks, 2009, 20(2), 248-257.

72.    Jian Yang, Chengjun Liu, Color Image Discriminant Models and Algorithms for Face Recognition, IEEE Transactions on Neural Networks, 2008, 19(12), 2088-2098.

73.    Yong Xu, David Zhang, Jian Yang, Jing-Yu Yang: An approach for directly extracting features from matrix data and its application in face recognition. Neurocomputing, 2008, 71(10-12): 1857-1865.

74.    Jian Yang, Jing-yu Yang, David Zhang, Median Fisher discriminator: A robust feature extraction method with applications to biometrics, Frontiers of Computer Science in China, 2008, 2(3), 295-305.

75.    Guiyu Feng, David Zhang, Jian Yang and Dewen Hu, A Theoretical Framework for Matrix-based Feature Extraction Algorithms with its Application to Image Recognition, International Journal of Image and Graphics, 2008, 8(1): 1-23.

76.    Jian Yang, David Zhang, Jing-yu Yang, Ben Niu, Globally Maximizing, Locally Minimizing: Unsupervised Discriminant Projection with Applications to Face and Palm Biometrics, IEEE Transactions on Pattern analysis and machine intelligence, 2007,29(4),650-664.

77.    Jian Yang, Chengjun Liu, Horizontal and Vertical 2DPCA-based Discriminant analysis for Face Verification on a Large-scale Database, IEEE Transactions on Information Forensics and Security, 2007,2(4),781-792.

78.    Jian Yang, David Zhang, Jing-yu Yang, Constructing PCA baseline algorithms to reevaluate ICA-based face-recognition performance, IEEE Trans. Systems, Man, and Cybernetics, Part B, 2007, 37 (4), pp. 1015-1021.

79.    Ming-ming Sun, Jian Yang, and Jing-yu Yang, Topology Description for Data Distributions Using Topology Graph with Divide-and-Combine Learning Strategy, IEEE Trans. Systems, Man, and Cybernetics, Part B, 2006, 36(6), pp. 1296-1305

80.    Wangmeng Zuo, David Zhang, Jian Yang, and Kuanquan Wang, BDPCA plus LDA: a novel fast feature extraction technique for face recognition, IEEE Trans. Systems, Man, and Cybernetics, Part B, 2006, 36 (4), 946-953 

81.    Jian Yang, David Zhang, Jing-yu Yang, Locally Principal Component Learning for Face Representation and Recognition, Neurocomputing, 2006, 69 (13-15), 1697-1701.

82.    Yujie Zheng, Jing-yu Yang, Jian Yang, Xiaojun Wu, and Zhong Jin, Nearest neighbour line nonparametric discriminant analysis for feature extraction, IEE Electronic Letters 42 (12): 679-680, JUN 8, 2006.

83.    Yujie Zheng, Jian Yang, Jing-yu Yang, and Xiaojun Wu, A reformative kernel Fisher discriminant algorithm and its application, Neurocomputing, 2006, 69 (13-15), 1806-1810.

84.    Jian Yang, Xiumei Gao, David Zhang, Jing-yu Yang, Kernel ICA: an Alternative Formulation and Its Application to Face Recognition, Pattern Recognition, 2005, 38(10), 1784-1787.

85.    Jian Yang, David Zhang, Xu Yong, and Jing-yu Yang, Two-dimensional Discriminant Transform for Face Recognition, Pattern Recognition, 2005, 38(7), 1125-1129.

86.    Jian Yang, Alejandro F. Frangi, Jing-yu Yang, David Zhang, Jin Zhong, KPCA plus LDA: a Complete Kernel Fisher Discriminant Framework for Feature Extraction and Recognition, IEEE Transactions on Pattern analysis and machine intelligence, 2005, 27(2), 230-244.

87.    Jian Yang, Zhong Jin, Jing-yu Yang, David Zhang, Alejandro F. Frangi, Essence of Kernel Fisher Discriminant: KPCA plus LDA, Pattern Recognition, 2004, 37(10), 2097-2100.

88.    Jian Yang, David Zhang, Alejandro F. Frangi, Jing-yu Yang, Two-Dimensional PCA: a New Approach to Face Representation and Recognition, IEEE Transactions on Pattern analysis and machine intelligence, 2004, 26(1), 131-137.

89.    Yong Xu, Jing-yu Yang, Jian Yang, A Reformative Kernel Fisher Discriminant Analysis, Pattern Recognition, 2004, 37 (6), 1299-1302.

90.    Jian Yang, Hui Ye, Jing-yu Yang, David Zhang, A New LDA-KL Combined Method for Feature Extraction and Its Generalisation, Pattern Analysis and Application, 2004, 7(1), 40-50.

91.    Jian Yang, Alejandro F. Frangi, Jing-yu Yang, A New Kernel Fisher Discriminant Algorithm with Application to Face Recognition, Neurocomputing, 2004, vol.56, 415-421.

92.    Jian Yang, Jing-yu Yang, Alejandro F. Frangi, David Zhang, Uncorrelated Projection Discriminant Analysis and Its Application to Face Image Feature Extraction, International Journal of Pattern Recognition and Artificial Intelligence, 2003, 17(8), 1325-1347.

93.    Jian Yang, Jing-yu Yang, Alejandro F. Frangi, Combined Fisherfaces framework, Image and Vision Computing, 2003, 21(12), 1037-1044.

94.    Jian Yang, Jing-yu Yang, David Zhang, J. F. Lu, Feature fusion: parallel strategy vs. serial strategy, Pattern Recognition, 2003, 36 (6), 1369-1381.

95.    Jian Yang, Jing-yu Yang, Why can LDA be performed in PCA transformed space? Pattern Recognition, 2003, 36(2), 563-566.

96.    Jian Yang, David Zhang, Jing-yu Yang, A generalized K-L Expansion method which can deal with small sample size and high-dimensional problems, Pattern Analysis and Application, 2003, 6(1), 47-54.

97.    Jian Yang, Jing-yu Yang, David Zhang, What’s wrong with Fisher criterion? Pattern Recognition, 2002, 35(11), pp. 2665-2668.

98.    Jian Yang, Jing-yu Yang, From image vector to matrix: a straightforward image projection technique-IMPCA vs. PCA, Pattern Recognition, 2002, 35(9), pp. 1997-1999.

99.    Jian Yang, Jing-yu Yang, Generalized K-L transform based combined feature extraction, Pattern Recognition, 2002, 35(1), pp. 295-297.