Contact Information
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

Professional Experience
    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 每 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 每 Nov 2006    Research Associate and Postdoctoral Fellow, Biometric Centre, Department of Computing, Hong Kong Polytechnic University
    Jan 2004 - Apr 2004    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

Research Interests
    Pattern recognition, computer vision and machine learning, in particular on dimensionality reduction (subspace learning), discriminant analysis, manifold learning, kernel methods, sparse and low-rank methods, and deep learning

Research Projects
  1. Active Environment Perception and Target Behavior Recognition for Service Robots (Key Project), supported by the National Natural Science Foundation of China (Grant No. U1713208, Duration: Jan. 2018-Dec. 2021), Principal Investigator
  2. Biologically Cognitive Mechanisms and Characteristics Inspired Vision Computing Models and Algorithms (Key Project), supported by the National Natural Science Foundation of China (Grant No. 91420201, Duration: Jan. 2015-Dec. 2017), Principal Investigator
  3. Representation Learning based Image Recovery and Recognition, supported by National Science Foundation of China (Grant No. 61472187; Duration: Jan 2015-Dec 2018), Principal Investigator
  4. Pattern Recognition and Intelligent Systems, supported by the National Science Fund for Distinguished Young Scholars (Grant No. 61125305; Duration: Jan 2012-Dec 2015), Principal Investigator
  5. 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 Investigator
  6. 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 Investigator
  7. Theory and technologies of discriminant analysis for dealing with high-dimensional information (Key Project), supported by the National Natural Science Foundation of China (Grant No. 60632050, Duration: Jan. 2007-Dec. 2010), Investigator

Professional Activities

   Associate editors of the following journals:
    Pattern Recognition (2017-)
    Pattern Recognition Letters (2008-)
    IEEE/CAA Journal of Automatica Sinica (2015-)
    IEEE Transactions on Neural Networks and Learning Systems (2012-2015)
    Neurocomputing (2008-2011)
   Guest Editor:
    Special Issue on Advances in Representation Learning
    Pattern Recognition
   Activities in Academic Conferences:
    2017 Asia Conference on Pattern Recognition (ACPR 2017), Program Chair
    2017 International Conference on Intelligence Science and Big Data Engineering (IScIDE 2017), Program Chair
    2016 Chinese Conference on Pattern Recognition (CCPR 2016), Program Chair
    2016 International Conference on Intelligence Science and Big Data Engineering (IScIDE 2016), Program Chair
    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
    International Conference on Biometrics 2006 (ICB 2006), Program Administrator
    The Ninth International Conference on Control, Automation, Robotics and Vision (ICARCV 2006), Session Chair: WP8 - Feature Extraction

Awards
    In 2017, the co-authored paper ※Learning Pairwise Similarity Guided Sparse Functional Connectivity Network for MCI Classification§ won the 2017 IAPR Asian Conference on Pattern Recognition (ACPR2017) Best Paper Award
    In 2016, I was elected as the IAPR Fellow by the International Association for Pattern Recognition
    In 2015, the co-authored paper ※Local Feature embedding for weakly supervised image classsification§ won ICIP 2015 ※Top 10%§ Paper Award
    In 2014, I was elected as 2013/2014 Chang-Jiang Professor by Chinese Ministry of Education
    In 2013, the co-authored paper ※Nuclear Norm Based 2DPCA§ won the 2013 IAPR Asian Conference on Pattern Recognition (ACPR2013) Best Student Paper Award
    In 2010, I won SCOPUS Young Researcher Award of Information Science of China
    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 won 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 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

Citations

Top 3 Most-cited Papers
  1. 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.
    [Google Scholar Citations: 3700+]
  2. 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.
    [Google Scholar Citations: 800+]
  3. Jian Yang, Jing-yu Yang, Why can LDA be performed in PCA transformed space? Pattern Recognition, 2003, 36(2), 563-566.
    [Google Scholar Citations: 600+]

Publications

   Selected Recent International Conference Papers
  1. Zhenyu Zhang, Zhen Cui, Zequn Jie, Xiang Li, Chunyan Xu, Jian Yang, Joint Task-Recursive Learning for Semantic Segmentation and Depth Estimation, European Conference on Computer Vision (ECCV), September 2018, Munich, Germany.
  2. Di Chen, Shanshan Zhang, Wanli Ouyang, Jian Yang, Ying Tai, Model Person Search via A Mask-guided Two-stream CNN, European Conference on Computer Vision (ECCV), September 2018, Munich, Germany.
  3. WenHai Wang, Xiang Li, Tong Lu, Jian Yang, Mixed Link Networks: A Bridge between ResNet and DenseNet, the 27th International Joint Conference on Artificial Intelligence (IJCAI), Stockholm, Sweden July 13-19, 2018.
  4. Shuo Chen, Chen Gong, Jian Yang, Adversarial Metric Learning, the 27th International Joint Conference on Artificial Intelligence (IJCAI), Stockholm, Sweden July 13-19, 2018.
  5. Chen Gong, Xiaojun Chang, Meng Fang, Jian Yang, Teaching Semi-Supervised Classifier via Generalized Distillation, the 27th International Joint Conference on Artificial Intelligence (IJCAI), Stockholm, Sweden July 13-19, 2018.
  6. Hong Shi, Shaojun Pan, Jian Yang, Chen Gong, Positive and Unlabeled Learning via Loss Decomposition and Centroid Estimation, the 27th International Joint Conference on Artificial Intelligence (IJCAI), Stockholm, Sweden July 13-19, 2018.
  7. Shanshan Zhang, Jian Yang, Bernt Schiele, Occluded Pedestrian Detection through Guided Attention in CNNs, IEEE International Conference on Computer Vision and Pattern Recognition (CVPR 2018).
  8. Jifeng Wang, Xiang Li, Jian Yang, Stacked Conditional Generative Adversarial Networks for Jointly Learning Shadow Detection and Shadow Removal, IEEE International Conference on Computer Vision and Pattern Recognition (CVPR 2018).
  9. Yu Chen, Ying Tai, Xiaoming Liu, Chunhua Shen, Jian Yang, FSRNet: End-to-End Learning Face Super-Resolution with Facial Priors, IEEE International Conference on Computer Vision and Pattern Recognition (CVPR 2018).
  10. Yigong Zhang, Jian Yang, Jean Ponce, Hui Kong, Dijkstra model for stereo-vision based road detection: A non-parametric method, 2018 IEEE International Conference on Robotics and Automation (ICRA 2018), Australia. (CCF B)
  11. Chaolong Li, Zhen Cui, Wenming Zheng, Chunyan Xu, Jian Yang, Spatio-Temporal Graph Convolution for Skeleton Based Action Recognition, The Thirty-Second AAAI Conference on Artificial Intelligence (AAAI 2018).
  12. Chen Gong, Hengmin Zhang, Jian Yang, and Dacheng Tao, Learning with Inadequate and Incorrect Supervision, International Conference on Data Mining (ICDM 2017), (CCF B)
  13. Chen Xiaobo, Han Zhang, Yu Zhang, Jian Yang and Dinggang Shen, Learning Pairwise Similarity Guided Sparse Functional Connectivity Network for MCI Classification, The 4th Conference on Pattern Recognition (ACPR 2017), Nanjing. [Best paper]
  14. Ying Tai, Jian Yang and Xiaoming Liu, Memnet: A persistent memory network for image restoration, International Conference on Computer Vision (ICCV 2017).
  15. Yu Chen, Chunhua Shen, Xiu-Shen Wei, Lingqiao Liu, Jian Yang, Adversarial PoseNet: A Structure-aware Convolutional Network for Human Pose Estimation, International Conference on Computer Vision (ICCV 2017).
  16. Bike Chen, Chen Gong, Jian Yang, Importance-Aware Semantic Segmentation for Autonomous Driving System, the 26th International Joint Conference on Artificial Intelligence (IJCAI 2017), Melbourne, August 2017.
  17. Ying Tai, Jian Yang and Xiaoming Liu, Image Super-Resolution via Deep Recursive Residual Network, IEEE International Conference on Computer Vision and Pattern Recognition (CVPR 2017).
  18. Liang Chen, Jian Yang, Hui Kong, Lidar-histogram for fast road and obstacle detection, IEEE International Conference on Robotics and Automation (ICRA 2017), May 29 - June 3, 2017, Marina Bay Sands Convention Centre, Singapore. (CCF B)
  19. Xiang Li, Tao Qin, Jian Yang, Tie-Yan Liu. LightRNN: Memory and Computation-efficient Recurrent Neural Networks, Neural Information Processing Systems 2016 (NIPS 2016), December 5-10, 2016, Barcelona, Spain.
  20. Ying Tai, Jian Yang, Fanlong Zhang, Yigong Zhang, Lei Luo, Jianjun Qian, Structural Orthogonal Procrustes Regression for Face Recognition with Pose Variations and Misalignment. SIAM International Conference on Data Mining (SDM 2016): 693-701. (CCF B)
  21. Jun Li, Jian Yang, Sparse Deep Stacking Network for Image Classification, The Twenty-Ninth AAAI Conference on Artificial Intelligence (AAAI-15), Jan. 25每29, 2015, Austin Texas, USA.
   Selected International Journal Papers
  1. Tao Wang, Jian Yang, Zexuan Ji, and Quansen Sun, Probabilistic Diffusion for Interactive Image Segmentation, IEEE Trans. Image Processing, minor revision
  2. Qing Liu, Davoine Franck, Jian Yang, Ying Cui, Zhong Jin, Fei Han, A Fast and Accurate Matrix Completion Method based on QR Decomposition and L(2,1) Norm Minimization,IEEE Trans. Neural Networks and Learning Systems, to appear
  3. Yang Wei, Jian Yang, Chen Gong, Shuo Chen, Jianjun Qian, Obstacle Detection by Fusing Point Clouds and Monocular Image, Neural Processing Letters, to appear
  4. Hengmin Zhang, Jian Yang, Fanhua Shang, Chen Gong, Zhenyu Zhang, LRR for Subspace Segmentation via Tractable Schatten-p Norm Minimization and Factorization, IEEE Transactions on Cybernetics, to appear
  5. Bike Chen, Chen Gong, Jian Yang, Importance-Aware Semantic Segmentation for Autonomous Vehicles, IEEE Trans. on Intelligent Transportation Systems, to appear
  6. Wei Zheng, Hui Yan, Jian Yang, Robust Unsupervised Feature Selection by Nonnegative Sparse Subspace Learning, Neurocomputing, minor revision
  7. Lei Luo, Jian Yang, Bob Zhang, Jielin Zhang, Heng Huang, Nonparametric Bayesian Correlated Group Regression with Applications to Image Classification,IEEE Trans. Neural Networks and Learning Systems, to appear
  8. Fa Zhu, Junbin Gao, Chunyan Xu, Jian Yang, Dacheng Tao, On Selecting Effective Patterns for Fast Support Vector Regression Training,IEEE Trans. Neural Networks and Learning Systems, accepted
  9. Jinhui Tang, Jie Lin, Zechao Li, Jian Yang, Discriminative Deep Quantization Hashing for Face Image Retrieval,IEEE Trans. Neural Networks and Learning Systems, to appear
  10. Shuo Gu, Tao Lu, Yigong Zhang; Jose Alvarez, Jian Yang, Hui Kong, 3D LiDAR + Monocular Camera: an Inverse-Depth Induced Fusion Framework for Urban Road Detection, IEEE Transactions on Intelligent Vehicles, to appear
  11. Chen Gong, Dacheng Tao, Xiaojun Chang, and Jian Yang, Ensemble Teaching For Hybrid Label Propagation, IEEE Transactions on Cybernetics, to appear
  12. Xiaozhao Fang, Na Han, Yong Xu, Jian Yang, David Zhang, Xuelong Li, Approximate Low-Rank Projection Learning for Feature Extraction,IEEE Trans. Neural Networks and Learning Systems, to appear
  13. Chunyan Xu, Jian Yang, Hanjiang Lai, Junbin Gao, Linlin Shem, Shuicheng Yan, UP-CNN: Un-pooling augmented convolutional neural network, Pattern Recognition Letters, to appear
  14. Chunyan Xu, Jian Yang, Junbin Gao, Coupled-learning convolutional neural networks for object recognition,Multimedia Tools and Applications, to appear
  15. Lei Luo, Qinghua Tu, Jian Yang, An Adaptive Line Search Scheme for Approximated Nuclear Norm Based Matrix Regression, Neurocomputing, 2018, vol. 289, 23-31.
  16. Di Chen, Chunyan Xu, Jian Yang, Jianjun Qian, Yuhui Zheng, Linlin Shen, Joint Bayesian guided metric learning for end-to-end face verification, Neurocomputing, 2018, 275, 31 Pages 560-567.
  17. Zhenyu Zhang, Chunyan Xu, Jian Yang, Ying Tai, Liang Chen, Deep Hierarchical Guidance and Regularization Learning for End-to-end Depth Estimation, Pattern Recognition, 2018, 83, 430-442.
  18. Zhenyu Zhang, Chunyan Xu, Jian Yang, Junbin Gao, Zhen Cui, Progressive Hard-mining Network for Monocular Depth Estimation, IEEE Trans. Image Processing, 2018, 27(8), 3691-3702.
  19. Yigong Zhang, Yingna Su, Jian Yang, Jean Ponce and Hui Kong, When Dijkstra meets vanishing point: a stereo vision approach for road detection, IEEE Trans. Image Processing, 2018, 27(5), 2176每2188.
  20. Zheng Zhang, Yong Xu, Ling Shao, Jian Yang, Discriminative Block-Diagonal Representation Learning for Image Recognition,IEEE Trans. Neural Networks and Learning Systems, 2018, 29(7), 3111-3125.
  21. Wei Luo, Jun Li, Jian Yang, and Wei Xu, Convolutional Sparse Autoencoders for Image Classification,IEEE Trans. Neural Networks and Learning Systems, 2018, 29(7), 3289-3294.
  22. Chen Gong, Tongliang Liu, Yuanyan Tang, Jian Yang, Dacheng Tao, Jie Yang, A Regularization Approach for Instance-based Superset Label Learning, IEEE Transactions on Cybernetics, 2018, 48(3), 967-978.
  23. Guojun Lin, Meng Yang, Jian Yang, Linlin Shen, Weicheng Xie, Robust, Discriminative and Comprehensive Dictionary Learning for Face Recognition, Pattern Recognition, 2018, Vol. 81, 341-356.
  24. Kaihua Zhang, Qingshan Liu, Jian Yang, Ming-Hsuan Yang, Visual Tracking via Boolean Map Representations, Pattern Recognition, 2018, Vol. 81, 147-160.
  25. Chunyan Xu, Jian Yang, Junbin Gao, Hanjiang Lai, Shuicheng Yan, SRNN: Self-regularized neural network, Neurocomputing, 2018, Vol. 273, 260-270
  26. Qiaolin Ye, Jian Yang, Fan Liu, Chunxia Zhao, Ning Ye, Tongming Yin, L1-norm Distance Linear Discriminant Analysis Based on an Effective Iterative Algorithm, IEEE Transactions on Circuits and Systems for Video Technology, 2018,28(1): 114-129.
  27. Cunlai Pu, Wei Cui, Jiexin Wu, Jian Yang, Bufferless Transmission in Complex Networks, IEEE Transactions on Circuits and Systems II: Express Briefs, 2018, 65(7), 893-897.
  28. Jun Li, Heyou Chang, Jian Yang, Wei Luo, Yun Fu, Visual Representation and Classification by Learning Group Sparse Deep Stacking Network, IEEE Trans. Image Processing, 2018, 27(1), Pages: 464-476
  29. Lei Zhang, Jian Yang, and David Zhang, Domain Class Consistency based Transfer Learning for Image Classification Across Domains, Information Sciences, 2017, 418每419 (12), Pages 242-257
  30. Hui Kong, Jian Yang, and Zhihua Chen, Accurate and Efficient Inspection of Speckle and Scratch Defects on Surfaces of Planar Products, IEEE Transactions on Industrial Informatics, 2017, 13(4), Pages: 1855-1865.
  31. Guangwei Gao, Jian Yang, Xiao-Yuan Jing, Fumin Shen, Wankou Yang, Dong Yue, Learning Robust and Discriminative Low-rank Representations for Face Recognition with Occlusion, Pattern Recognition, 66(6) 2017, Pages 129-143
  32. Yong Xu, Zuofeng Zhong, Jian Yang, Jia You, David Zhang, A New Discriminative Sparse Representation Method for Robust Face Recognition via L2 Regularization,IEEE Trans. Neural Networks and Learning Systems, 2017,28 (10), 2233-2242.
  33. Zhihui Lai, Yong Xu, Jian Yang, Linlin Shen, David Zhang, Rotational invariant dimensionality reduction algorithms, IEEE Trans. Cybernetics, 2017ㄛ47(11), 3733 - 3746
  34. Bo Huang, MengChu Zhou, PeiYun Zhang, Jian Yang, Speedup Techniques for Multiobjective Integer Programs in Designing Optimal and Structurally Simple Supervisors of AMS, IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2018,48(1),77-88.
  35. Tiancheng Sun, Yulong Wang, Jian Yang, Xiaolin Hu, ※Convolutional neural networks with two pathways for image style recognition,§ IEEE Transactions on Image Processing, vol. 26, no. 9, pp. 4102-4113, 2017.
  36. Meng Yang, Heyou Chang, Weixin Luo, Jian Yang, Fisher discrimination dictionary pair learning for image classification, Neurocomputing, 2017, 269: 13-20.
  37. Guangwei Gao, Jian Yang, Zhihui Lai, et al. Nuclear Norm Regularized Coding with Local Position-Patch and Nonlocal Similarity for Face Hallucination, Digital Signal Processing, 2017, 64, 107-120.
  38. Zhengming Li, Zhihui Lai, Yong Xu, Jian Yang, David Zhang, A Locality-Constrained and Label Embedding Dictionary Learning Algorithm for Image Classification,IEEE Trans. Neural Networks and Learning Systems, 2017, 28(2), 278 - 293
  39. Shuo Chen, Jian Yang, Lei Luo, Yang Wei, Kaihua Zhang, Ying Tai, Low-Rank Latent Pattern Approximation with Applications to Robust Image Classification, IEEE Trans. Image Processing, 2017, 26(11) : 5519-5530.
  40. Hengmin Zhang, Jian Yang, Jianchun Xie, Jianjun Qian, Bob Zhang, Weighted Sparse Coding Regularized Nonconvex Matrix Regression for Robust Face Recognition, Information Sciences, 2017, Vol. 394每395(7), Pages 1-17.
  41. Ying Tai, Jian Yang, Kernel Orthogonal Procrustes Regression for Face Recognition across Pose, Neurocomputing, 239 (5) 2017, Pages 122-129
  42. Hengmin Zhang, Jian Yang, Nonconvex Relaxation based Matrix Regression for Face Recognition with Structural Noise and Mixed Noise, Neurocomputing, 2017, 269(12), Pages 188-198.
  43. Fa Zhu, Jian Yang, Junbin Gao, Chunyan Xu, Sheng Xu, Cong Gao, Finding the Samples near the Decision Plane for Support Vector Learning, Information Sciences, Vol. 382每383, March 2017, Pages 292-307
  44. Fa Zhu, Jian Yang, Sheng Xu, Cong Gao, Ning Ye, Tongming Yin, Incorporating Neighbors' Distribution Knowledge into Support Vector Machines, Soft Computing, 2017, 21(21), 6407-6420
  45. Jun Li, Tong Zhang, Wei Luo, Jian Yang, Xiaotong Yuan, Jian Zhang, Sparseness Analysis in the Pretraining of Deep Neural Networks,IEEE Trans. Neural Networks and Learning Systems, 2017, 28 (6), Pages: 1425-1438.
  46. Lei Luo, Jian Yang, Jianjun Qian, and Ying Tai, Gui-Fu Lu, Robust Image Regression Based on the Extended Matrix Variate Power Exponential Distribution of Dependent Noise,IEEE Trans. Neural Networks and Learning Systems, 2017, 28 (9), 2168-2182.
  47. Yu Chen, Jian Yang, Jianjun Qian, Recurrent neural network for facial landmark detection, Neurocomputing, 2017, 219: 26-38.
  48. Jianchun Xie, Jian Yang, Jianjun Qian, Lei Luo, Bi-weighted Robust Matrix Regression for Face Recognition,Neurocomputing, 2017, Vol. 237, 375-387.
  49. Jianchun Xie, Jian Yang, Jianjun Qian, Ying Tai, and Hengmin Zhang, Robust Nuclear Norm-based Matrix Regression with Applications to Robust Face Recognition, IEEE Trans. on Image Processing, 2017, 26(5), 2286-2295.
  50. Lingzheng Dai, Jian Yang, Liang Chen, Junxia Li, Category-specific Object Segmentation via Unsupervised Discriminant Shape, Pattern Recognition, 2017, 64: 202-214.
  51. Jian Yang #, Lei Luo #, Jianjun Qian #, Ying Tai, Fanlong Zhang, Yong Xu, Nuclear Norm based Matrix Regression with Applications to Face Recognition with Occlusion and Illumination Changes, IEEE Transactions on Pattern analysis and machine intelligence, 2017, 39(1): 156-171. [# co-first author]
  52. Fa Zhu, Jian Yang, Junbin Gao, Chunyan Xu, Extended Nearest Neighbor Chain Induced Instance-Weights for SVMs, Pattern Recognition, 2016, 60: 863-874.
  53. Lei Luo, Liang Chen, Jian Yang, Jianjun Qian, and Bob Zhang, Tree-Structured Nuclear Norm Approximation with Applications to Robust Face Recognition, IEEE Trans. on Image Processing, 2016, 25(12), 5757-5767.
  54. Yu Chen, Jian Yang, Lei Luo, Hengmin Zhang, Jianjun Qian, Ying Tai, Jian Zhang, Adaptive Noise Dictionary Construction via IRRPCA for Face Recognition, Pattern Recognition, 2016, 59: 26-41.
  55. Chang Heyou, Lei Luo, Jian Yang, Meng Yang, Schatten p-norm based Principal Component Analysis, Neurocomputing, 2016, 207: 754-762.
  56. Fa Zhu, Jian Yang, Sheng Xu, Cong Gao, Ning Ye, Tongming Yin, Relative Density Degree Induced Boundary Detection for One-class SVM, Soft Computing, 2016, 20: 4473-4485
  57. Guangwei Gao, Jian Yang, Xiaoyuan Jin, et al. Robust Face Recognition via Multi-scale Patch-based Matrix Regression, PLOS ONE, 2016, 11(8): e0159945.
  58. Jianjun Qian, Jian Yang, et al. Exploring Deep Gradient Information for Biometric Image Feature Representation, Neurocomputing, 2016, 213:162-171.
  59. Junxia Li, Lei Luo, Fanlong Zhang, Jian Yang, Double Low Rank Matrix Recovery for Saliency Fusion, IEEE Trans. on Image Processing, 2016, 25(9): 4421-4432.
  60. Ying Tai, Jian Yang, Yigong Zhang, Lei Luo, Jianjun Qian and Yu Chen, Face Recognition with Pose Variations and Misalignment via Orthogonal Procrustes, IEEE Trans. on Image Processing, 2016, 25(6):2673-2683.
  61. Fa Zhu, Jian Yang, Cong Gao, Sheng Xu, Ning Ye, Tongming Yin, A weighted one-class support vector machine, Neurocomputing, 2016, 189: 1-10.
  62. Chang Heyou, Meng Yang, Jian Yang, Learning a Structure Adaptive Dictionary for Sparse Representation based Classification, Neurocomputing, 2016, 190: 124-131.
  63. Ying Tai, Jian Yang, Lei Luo and Jianjun Qian, Learning Discriminative Singular Value Decomposition Representation for Face Recognition, Pattern Recognition, 2016, vol. 50, 1每16.
  64. Jun Li, Yu Kong, Handong Zhao, Jian Yang and Yun Fu, Learning A Fast Low-rank Projection for Image Classification, IEEE Trans. on Image Processing, 2016, 25(10): 4803-4814.
  65. Zhihui Lai, W. K. Wong, Yong Xu, Jian Yang, David Zhang, Approximate orthogonal sparse embedding for dimensionality reduction,IEEE Trans. Neural Networks and Learning Systems, 2016, 27(4):723-35.
  66. Guangsheng Xia, Hui Yan, Jian Yang, Sparse preserving feature weights learning, Neurocomputing, 2016, 185: 45-52.
  67. Hui Yan, Jian Yang, Jing-yu Yang, Robust Joint Feature Weights Learning Framework, IEEE Trans. Knowledge and Data Engineering, 2016, 28(5): 1327-1339.
  68. Hui Yan, Jian Yang, Sparse discriminative feature weights learning, Neurocomputing, 2016, 173(3), 1936每1942.
  69. Yong Xu, Zheng Zhang, Guangming Lu, Jian Yang, Approximately symmetrical face images for image preprocessing in face recognition and sparse representation based classification, Pattern Recognition, 54: 68-82 (2016).
  70. Qiaolin Ye, Jian Yang, Tongming Yin and Zhao Zhang, Can the Virtual Labels Obtained by Traditional LP Approaches be Well Encoded in WLR?,IEEE Trans. Neural Networks and Learning Systems, 2016, 27(7):1591-1598.
  71. Zheng Zhang, Yong Xu, Jian Yang, Xuelong Li, David Zhang, A Survey of Sparse Representation: Algorithms and Applications. IEEE Access 3: 490-530 (2015).
  72. Guangwei Gao, Jian Yang, Songsong Wu, Xiaoyuan Jing, Dong Yue, Bayesian sample steered discriminative regression for biometric image classification, Applied Soft Computing, 2015, vol. 37, 48-59.
  73. Jinhui Chen, Jian Yang, Lei Luo, Jianjun Qian, Wei Xu, Matrix Variate Distribution Induced Sparse Representation for Robust Image Classification,IEEE Trans. Neural Networks and Learning Systems, 2015, 26(10): 2291-2300.
  74. Fanlong Zhang, Jian Yang, Jianjun Qian, Yong Xu, Nuclear Norm Based 2DPCA for Extracting Features from Images,IEEE Trans. Neural Networks and Learning Systems, 2015, 26(10): 2247-2260.
  75. Jielin Jiang, Jian Yang, Yan Cui, Waikeung Wong, Zhihui Lai, Sparse Nonlocal Priors based Two-Phase Approach for Mixed Noise Removal, Signal Processing, 2015, vol.116, 101-111.
  76. Wei Luo, Jian Yang, Wei Xu and Jun Li, Higher-level Feature Combination via Multiple Kernel Learning for Image Classification, Neurocomputing, 2015, Vol. 167,209-217.
  77. Lei Luo, Jian Yang, Jianjun Qian, Ying Tai, Nuclear-L1 Norm Joint Regression for Face Reconstruction and Recognition with Mixed Noise, Pattern Recognition, 2015,48(12), 3811每3824.
  78. Jianjun Qian, Lei Luo, Jian Yang, Fanglong Zhang, Zhouchen Lin, Robust Nuclear Norm Regularized Regression for Face Recognition with Occlusion, Pattern Recognition, 2015, 48(10), 3145-3159.
  79. Lingzheng Dai, Jundi Ding, Jian Yang, Inhomogeneity-Embedded Active Contour for Natural Image, Pattern Recognition, 2015, 48(8), 2513-2529.
  80. Hui Yan, Jian Yang, Locality preserving score for joint feature weights learning. Neural Networks, 69, 2015, pp.126-134.
  81. Hui Yan, Jian Yang, Sparse Discriminative Feature Selection, Pattern Recognition, 2015, 48(5), 1827-1835.
  82. Fanlong Zhang, Jian Yang, Ying Tai, Jinhui Tang, Double Nuclear Norm Based Matrix Decomposition For Occluded Image Recovery and Background Modeling, IEEE Trans. on Image Processing, 2015, 24(6), 1596-1566.
  83. Wei Luo, Jian Yang, Wei Xu and Tao Fu, Locality-constrained Sparse Auto-Encoder for Image Classification, IEEE Signal Processing Letters, 2015, 22(8): 1070-1073.
  84. Jielin Jiang, Jian Yang, Yan Cui, Lei Luo, Mixed Noise Removal by Weighted Low Rank Model, Neurocomputing, Vol. 151, Part 2,. 2015, pp.817-826
  85. Jian Zhang, Jian Yang, Jianjun Qian, Nearest Orthogonal Matrix Representation for Face Recognition, Neurocomputing, Vol.151, Part 1, 2015, pp.471-480.
  86. Cunlai Pu, Siyuan Li, Jian Yang, Epidemic spreading driven by biased random walks, Physica A: Statistical Mechanics and its Applications, Volume 432, 2015, 230-239.
  87. Cunlai Pu, Siyuan Li, Andrew Michaelson, Jian Yang, Iterative path attacks on networks, Physics Letters A, Volume 379, Issues 28每29, 1633-1638
  88. Jianjun Qian, Jian Yang, Yong Xu, General Regression and Representation Model for Classification, PLOS ONE, 12/2014; 9(12): e115214.
  89. Xiaobo Chen, Jian Yang, Long Chen, An improved robust and sparse twin support vector regression via linear programming, Soft Computing, 2014, 18(12), 2335-2348.
  90. Zhihui Lai, Yong Xu, Qingcai Chen, Jian Yang, David Zhang, Multilinear Sparse Principal Component Analysis,IEEE Trans. Neural Networks and Learning Systems, 2014, 25(10), 1942-1950.
  91. Yong Xu, Xiaozhao Fang, Xuelong Li, Jian Yang, et al. Data Uncertainty in Face Recognition, IEEE Trans. Cybernetics, 2014, 44(10), 1950-1961.
  92. Yong Xu, Xuelong Li, Jian Yang, Zhihui Lai and David Zhang, Integrating Conventional and Inverse Representation for Face Recognition, IEEE Trans. Cybernetics,, 2014, 44(10), 1938-1946.
  93. Zizhu Fan, Yong Xu, Wangmeng Zuo, Jian Yang, et al. Modified Principal Component Analysis: An Integration of Multiple Similarity Subspace Models,IEEE Trans. Neural Networks and Learning Systems, 2014, 25(8),1538-1552.
  94. Jinhui Chen, Jian Yang, Robust Subspace Segmentation via Low-Rank Representation, IEEE Trans. Cybernetics, 2014, 44(8):1432-1445.
  95. Jielin Jiang, Lei Zhang, Jian Yang, Mixed Noise Removal by Weighted Encoding with Sparse Nonlocal Regularization, IEEE Trans. on Image Processing, 2014ㄛ23(6), pp. 2651-2662
  96. Guangwei Gao, Jian Yang, Jianjun Qian, Lin Zhang, Integration of multiple orientation and texture information for finger-knuckle-print verification, Neurocomputing, 135 (2014) 180-191.
  97. Guangwei Gao, Jian Yang, A Novel Sparse Representation based Framework for Face Image Super-Resolution, Neurocomputing, 134 (2014) 92-99.
  98. Jianjun Qian, Jian Yang, Histogram of Visual Words based on Locally Adaptive Regression Kernels Descriptors for Image Feature Extraction, Neurocomputing, 129 (2014) 516 每 527.
  99. 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
  100. 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
  101. Jun Li, Jian Yang, Continuous attractors of higher-order recurrent neural networks with infinite neurons, Neurocomputing, 2014, vol. 131, 388每396.
  102. Jian Zhang, Jian Yang, Linear Reconstruction Measure Steered Nearest Neighbor Classification Framework, Pattern Recognition, 47 (2014) 1709每1720.
  103. 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.
  104. Jie Xu, Jian Yang, Median-mean Line based Discriminant Analysis, Neurocomputing, 2014, vol. 123, 233-246.
  105. Hui Yan, Jian Yang, Joint Laplacian feature weights learning. Pattern Recognition, 2014, 47(3), 1425-1432.
  106. Yuting Tao, Jian Yang, Enhanced iterative projection for subclass discriminant analysis under EM alike framework, Pattern Recognition, 2014, 47(3), 1113-1125.
  107. Shangbing Gao, Jian Yang, Yunyang Yan. A novel multiphase active contour model for inhomogeneous image segmentation. Multimedia Tools and Applications, 2014, 72(3), 2321-2337.
  108. Cun-lai Pu, Wei Cui, Jian Yang, Tunable path centrality: Quantifying the importance of paths in networks, Physica A, 405: 267-277, 2014.
  109. 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.
  110. Shangbin Gao, Jian Yang, Saliency based localizing active contour for Automatic Natural Object Segmentation, IET Image Processing, 2013, 7(9), pp.787 每 794.
  111. 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.
  112. Zhihui Lai, Yong Xu, Jian Yang and David Zhang, Sparse Tensor Discriminant Analysis, IEEE Trans. on Image Processing, 2013, 22(10), 3904-3915.
  113. 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
  114. 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
  115. 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
  116. 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.
  117. Jie Xu, Jian Yang, K-local Hyperplane Distance Nearest Neighbor Classifier Oriented Local Discriminant Analysis, Information Sciences, 2013, 232, 11-26.
  118. Nan Zhang, Jian Yang, Low-rank Representation based Discriminative Projection for Robust Feature Extraction, Neurocomputing, 2013, 111, 13-20.
  119. 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.
  120. Yan Cui, Chunhou Zheng, Jian Yang, Identifying Subspace Gene Clusters from Microarray Data Using Low-Rank Representation, PLOS ONE, 2013, 8(3): e59377.
  121. X. Chen, J. Yang, David Zhang, Complete Large Margin Linear Discriminant Analysis Using Mathematical Programming Approach, Pattern Recognition, 2013, 46(6): 1579-1594
  122. Yan Cui, Chunhou Zheng, Jian Yang, Dimensionality reduction for microarray data using local mean based discriminant analysis, Biotechnology Letters, 2013, 35(3): 331-336
  123. Jie Xu, Jian Yang, A nonnegative sparse representation based fuzzy similar neighbor classifier, Neurocomputing, 2013, 99(1), 76-86.
  124. Zhenghong Gu, Jian Yang, Sparse margin-based discriminant analysis for feature extraction. Neural Computing and Applications, 2013, 23(6): 1523-1529.
  125. Cun-Lai Pu, Jian Yang, et al, Robustness analysis of static routing on networks, Physica A, 392(15):3293-3300, 2013.
  126. Xiaobo Chen, Jian Yang, Qirong Mao, Regularized least squares fisher linear discriminant with applications to image recognition, Neurocomputing, 2013, 122, 521-534
  127. 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
  128. 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.
  129. 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.
  130. X. Chen, J. Yang, J. Liang. A Flexible Support Vector Machine for Regression. Neural Computing and Applications, 2012, 21(8) 2005-2013.
  131. 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.
  132. 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
  133. 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
  134. 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 VerificationㄛIEEE Transactions on Neural Networks and Learning Systems, 2012, 23(6): 876-888
  135. 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.
  136. Jian Yang, Lei Zhang, Yong Xu, Jing-Yu Yang, Beyond Sparsity: the Role of L-1-optimizer in Pattern Classification, Pattern Recognition, 2012, 45(3), pp. 1104-1118.
  137. 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.
  138. Xiaobo Chen, Jian Yang, Jun Liang, Qiaolin Ye, Smooth Twin Support Vector Regression, Neural Computing and Applications, 2012, 21(3) 505-513
  139. Yong Xu, Aini Zhong, Jian Yang, David Zhang, Bimodal biometrics based on a representation and recognition approach, Optical Engineering, 2011, 50(3), 037202.
  140. Jie Xu, Jian Yang, Mean representation based classifier with its applications, Electronic Letters, 2011, 47(18), 1024-1026.
  141. 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 每 1262.
  142. 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
  143. 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
  144. 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
  145. 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.
  146. 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
  147. 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
  148. Zhihui Lai, Minghua Wan, Zhong Jin, Jian Yang, Sparse two-dimensional local discriminant projections for feature extraction. Neurocomputing, 2011, 74(4): 629-637
  149. Hui Yan, Jian Yang, Jing-Yu Yang, Bimode model for face recognition and face representation, Neurocomputing, 2011, 74(5), 741-748
  150. Zuoyong Li, Jian Yang, Guanghai Liu, Yong Cheng, Chuancai Liu, Unsupervised range-constrained thresholding, Pattern Recognition Letters, 2011, 32(16), 392-402.
  151. Zhenghong Gu, Jian Yang, Lei Zhang, Push-Pull marginal discriminant analysis for feature extraction, Pattern Recognition Letters, 2010, 31(15), 2345-2352.
  152. Yong Xu, Aini Zhong, Jian Yang, David Zhang, LPP solution schemes for use with face recognition, Pattern Recognition, 2010, 43(12), 4165-4176.
  153. 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.
  154. 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.
  155. 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.
  156. 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
  157. Yuting Tao, Jian Yang, Quotient vs. Difference: Comparison between the two discriminant criteria, Neurocomputing, 2010, 73 (10-12), pp. 1808-1817.
  158. 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.
  159. 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.
  160. Chengjun Liu, Jian Yang, ICA Color Space for Pattern Recognition, IEEE Transactions on Neural Networks , 2009, 20(2), 248-257.
  161. Jian Yang, Chengjun Liu, Color Image Discriminant Models and Algorithms for Face Recognition, IEEE Transactions on Neural Networks , 2008, 19(12), 2088-2098.
  162. 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.
  163. 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.
  164. 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.
  165. 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.
  166. 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.
  167. 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.
  168. 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
  169. 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
  170. Jian Yang, David Zhang, Jing-yu Yang, Locally Principal Component Learning for Face Representation and Recognition, Neurocomputing, 2006, 69 (13-15), 1697-1701.
  171. 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.
  172. 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.
  173. 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.
  174. Jian Yang, David Zhang, Yong Xu, and Jing-yu Yang, Two-dimensional Discriminant Transform for Face Recognition, Pattern Recognition, 2005, 38(7), 1125-1129.
  175. 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.
  176. 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.
  177. 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.
  178. Yong Xu, Jing-yu Yang, Jian Yang, A Reformative Kernel Fisher Discriminant Analysis, Pattern Recognition, 2004, 37 (6), 1299-1302.
  179. 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.
  180. 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.
  181. 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.
  182. Jian Yang, Jing-yu Yang, Alejandro F. Frangi, Combined Fisherfaces framework, Image and Vision Computing, 2003, 21(12), 1037-1044.
  183. Jian Yang, Jing-yu Yang, David Zhang, J. F. Lu, Feature fusion: parallel strategy vs. serial strategy, Pattern Recognition, 2003, 36 (6), 1369-1381.
  184. Jian Yang, Jing-yu Yang, Why can LDA be performed in PCA transformed space? Pattern Recognition, 2003, 36(2), 563-566.
  185. Jian Yang, David Zhang, Jing-yu Yang, A generalised K-L Expansion method which can deal with small sample size and high-dimensional problems, Pattern Analysis and Application, 2003, 6(1), 47-54.
  186. Jian Yang, Jing-yu Yang, David Zhang, What*s wrong with Fisher criterion? Pattern Recognition, 2002, 35(11), pp. 2665-2668.
  187. 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.
  188. Jian Yang, Jing-yu Yang, Generalized K-L transform based combined feature extraction, Pattern Recognition, 2002, 35(1), pp. 295-297.