Papers (2000-2022)
Papers in international journals

  1. Wang AndDong, Zhao QibBin, Jin Zhong, Li Chao, Zhou Guoxu. Robust tensor decomposition via orientation invariant tubal nuclear norms. Science China Technological Sciences, 2022, 65(6): 1300-1317, https://doi.org/10.1007/s11431-021-1976-2
  2. Xulin Song, Zhong Jin. Robust Label Rectifying with Consistent Contrastive-Learning for Domain Adaptive Person Re-identification. IEEE Transactions on Multimedia, 24: 3229-3239 (2022)
  3. Xulin Song, Jun Liu, Zhong Jin. Dual Prototype Contrastive learning with Fourier Generalization for Domain Adaptive Person Re-identification. Knowledge-Based Systems, 256: 109851 (2022)
  4. Xulin Song, Zhong Jin. Domain adaptive attention-based dropout for one-shot person re-identification. International Journal of Machine Learning and Cybernetics, 13(1): 255-268 (2022)
  5. Fei Yang, Franck Davoine, Huan Wang, Zhong Jin. Continuous conditional random field convolution for point cloud segmentation. Pattern Recognition, 122: 108357 (2022)
  6. Xing Jin, Zhihui Lai, Wenyun Sun, Zhong Jin. Facial Expression Recognition Based on Depth Fusion and Discriminative Association Learning. Neural Processing Letters, 54(3): 2025-2047 (2022)
  7. Xing Jin, Zhihui Lai, Zhong Jin. Learning Dynamic Relationships for Facial Expression Recognition Based on Graph Convolutional Network. IEEE Transactions on Image Processing, 30: 7143-7155 (2021)
  8. Xing Jin, Zhong Jin. MiniExpNet: A small and effective facial expression recognition network based on facial local regions. Neurocomputing 462: 353-364 (2021)
  9. Andong Wang, Guoxu Zhou, Zhong Jin, Qibin Zhao. Tensor Recovery via $*_L$-Spectral $k$-Support Norm. IEEE J. Sel. Top. Signal Process. 15(3): 522-534 (2021)
  10. Fei Yang, Huan Wang, Zhong Jin. A fusion network for road detection via spatial propagation and spatial transformation. Pattern Recognition,100: 107141 (2020)
  11. Andong Wang, Zhong Jin, Guoqing Tang. Robust tensor decomposition via t-SVD: Near-optimal statistical guarantee and scalable algorithms. Signal Processing, 167 (2020)
  12. Xiyin Wu, Dongxu Gao, David Borroni, Savita Madhusudhan, Zhong Jin, Yalin Zheng. Cooperative Low-Rank Models for Removing Stripe Noise From OCTA Images. IEEE J. Biomed. Health Informatics 24(12): 3480-3490 (2020)
  13. Andong Wang, Zhong Jin, Jing-yu Yang. A faster tensor robust PCA via tensor factorization. Int. J. Mach. Learn. Cybern. 11(12): 2771-2791 (2020)
  14. Xing Jin, Wenyun Sun, Zhong Jin. A discriminative deep association learning for facial expression recognition. International Journal of Machine Learning and Cybernetics, 11(4): 779-793 (2020)
  15. Wenyun Sun, Yu Song, Haitao Zhao, Zhong Jin. A Face Spoofing Detection Method Based on Domain Adaptation and Lossless Size Adaptation. IEEE Access, 8: 66553-66563 (2020)
  16. Xiyin Wu, Xiaodi Ma, Jinxia Zhang, Zhong Jin. Salient object detection via reliable boundary seeds and saliency refinement. IET Computer Vision, 13(3): 302-311 (2019)
  17. Andong Wang, Zhihui Lai, Zhong Jin. Noisy low-tubal-rank tensor completion. Neurocomputing, 330: 267-279 (2019)
  18. Wenyun Sun, Yu Song, Zhong Jin, Haitao Zhao, Changsheng Chen. Unsupervised Orthogonal Facial Representation Extraction via image reconstruction with correlation minimization. Neurocomputing, 337: 203-217 (2019)
  19. Wenyun Sun, Haitao Zhao, Zhong Jin. A facial expression recognition method based on ensemble of 3D convolutional neural networks. Neural Computing and Applications, 31(7): 2795-2812 (2019)
  20. Qing Liu, Franck Davoine, 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 Learn. Syst. 30(3): 803-817 (2019)
  21. Andong Wang, Dongxu Wei, Bo Wang, Zhong Jin. Noisy Low-Tubal-Rank Tensor Completion Through Iterative Singular Tube Thresholding. IEEE Access 6: 35112-35128 (2018)
  22. Wenyun Sun, Haitao Zhao, Zhong Jin. A visual attention based ROI detection method for facial expression recognition. Neurocomputing 296: 12-22 (2018)
  23. Wenyun Sun, Haitao Zhao, Zhong Jin. A complementary facial representation extracting method based on deep learning. Neurocomputing 306: 246-259 (2018)
  24. Fadi Dornaika, Libo Weng, Zhong Jin. Structured sparse graphs using manifold constraints for visual data analysis. Neurocomputing 315: 107-114 (2018)
  25. Xiyin Wu, Zhong Jin, Jingbo Zhou, Xiaodi Ma. Saliency propagation with perceptual cues and background-excluded seeds. J. Vis. Commun. Image Represent. 54: 51-62 (2018)
  26. Jun Ye, Zhong Jin. Hyper-graph regularized discriminative concept factorization for data representation. Soft Comput. 22(13): 4417-4429 (2018)
  27. Wenyun Sun, Haitao Zhao, Zhong Jin. An efficient unconstrained facial expression recognition algorithm based on Stack Binarized Auto-encoders and Binarized Neural Networks. Neurocomputing 267: 385-395 (2017)
  28. Hao Zheng, Jie Zhu, Zhongxue Yang, Zhong Jin. Effective micro-expression recognition using relaxed K-SVD algorithm. Int. J. Machine Learning & Cybernetics 8(6): 2043-2049 (2017)
  29. Jun Ye, Zhong Jin. Feature Selection for Adaptive Dual-Graph Regularized Concept Factorization for Data Representation. Neural Process. Lett. 45(2): 667-688 (2017)
  30. Jun Ye, Zhong Jin. Graph-Regularized Local Coordinate Concept Factorization for Image Representation. Neural Process. Lett. 46(2): 427-449 (2017)
  31. Zongwei Zhou, Zhong Jin. Two-dimension principal component analysis-based motion detection framework with subspace update of background. Iet Computer Vision, 10(6): 603-612, 2016.
  32. Hao Zheng, Xin Geng, Dacheng Tao, Zhong Jin. A multi-task model for simultaneous face identification and facial expression recognition. Neurocomputing 171: 515-523 (2016).
  33. Zongwei Zhou, Zhong Jin. Double nuclear norm-based robust principal component analysis for image disocclusion and object detection. Neurocomputing 205: 481-489 (2016).
  34. Libo Weng, Fadi Dornaika, Zhong Jin. Graph construction based on data self-representativeness and Laplacian smoothness. Neurocomputing 207: 476-487 (2016).
  35. Libo Weng, Fadi Dornaika, Zhong Jin. Flexible constrained sparsity preserving embedding. Pattern Recognition 60: 813-823 (2016).
  36. Qing Liu, Zhihui Lai, Zongwei Zhou, Fangjun Kuang, Zhong Jin. A Truncated Nuclear Norm Regularization Method Based on Weighted Residual Error for Matrix Completion. IEEE Trans. Image Processing 25(1): 316-330 (2016).
  37. Wei Huang, Xiaohui Wang, Yanbo Ma, Yuzheng Jiang, Yinghui Zhu, Zhong Jin. Robust kernel collaborative representation for face recognition. OPTICAL ENGINEERING, 54(5), 2015.
  38. Wei Huang, Xiaohui Wang, Zhong Jin, Jianzhong Li. Penalized collaborative representation based classification for face recognition. Appl. Intell. 43(4): 722-731 (2015).
  39. Wei Huang, Xiaohui Wang, Jianzhong Li, Zhong Jin. A Novel Feature Extraction Method Based on Collaborative Representation for Face Recognition. IJPRAI, 29(4),2015.[pdf]
  40. Ying Cui, Jian Zhang, Dongyan Guo, Zhong Jin. Robust facial landmark localization using classified random ferns and pose-based initialization. Signal Processing,110: 46-53，2015. [pdf]
  41. Yingjie Gu, Zhong Jin, and Steve C. Chiu. Active Learning Combining Uncertainty and Diversity for Multi-Class Image Classification. IET Computer Vision,2015 [pdf]
  42. Fangjun Kuang, Siyang Zhang, Zhong Jin, Weihong Xu. A novel SVM by combining kernel principal component analysis and chaotic particle swarm optimization for intrusion detection. Soft Computing, 19(5): 1187-1199，2015. [pdf]
  43. Jingbo Zhou, Shangbing Gao, Yunyang Yan, Zhong Jin. Saliency detection framework via linear neighbourhood propagation. IET Image Processing 8(12): 804-814 (2014)
  44. Zhihui Lai, Yong Xu, Zhong Jin, David Zhang. Human Gait Recognition via Sparse Discriminant Projection Learning. IEEE Transactions on Circuits and Systems for Video Technology. 24(10): 1651-1662, 2014. [pdf]
  45. Yan Cui, Zhong Jin, Jielin Jiang. A novel supervised feature extraction and classification fusion algorithm for land cover recognition of the off-land scenario. Neurocomputing, 140: 77-83, 2014. [pdf]
  46. Jun Ye, Zhong Jin. Dual-graph regularized concept factorization for clustering. Neurocomputing, 138:120-130, 2014. [pdf]
  47. Hao Zheng, Qiaolin Ye, Zhong Jin. A Novel Multiple Kernel Sparse Representation based Classification for Face Recognition. KSII Transactions on Internet and Information Systems, 8(4): 1463-1480, 2014. [pdf]
  48. Minghua Wan, Ming Li, Guowei Yang, Shan Gai, Zhong Jin. Feature extraction using two-dimensional maximum embedding difference. Information Sciences, 274: 55-69, 2014. [pdf]
  49. Yingjie Gu, Zhong Jin. Neighborhood preserving D-optimal design for active learning and its application to terrain classification. Neural Computing and Applications, 23(7-8): 2085-2092 (2013). [pdf]
  50. Zhihui Lai, Yajing Li, Minghua Wan, Zhong Jin. Local sparse representation projections for face recognition. Neural Computing and Applications, 23(7-8): 2231-2239 (2013). [pdf]
  51. Jingbo Zhou, Zhong Jin. A New Framework for Multiscale Saliency Detection Based on Image Patches. Neural Processing Letters, 38(3): 361-374 (2013). [pdf]
  52. Jun Ye, Zhong Jin. Non-negative matrix factorisation based on fuzzy K nearest neighbour graph and its applications. IET Computer Vision, 7(5): 346-353 (2013). [pdf]
  53. Yi Chen, Zhenzhen Li, Zhong Jin. Feature Extraction Based on Maximum Nearest Subspace Margin Criterion. Neural Processing Letters, 37(3): 355-375 (2013). [pdf]
  54. Gui-Fu Lu, Zhong Jin, Jian Zou. Face recognition using discriminant sparsity neighborhood preserving embedding. Knowl.-Based Syst. 31: 119-127 (2012). [pdf]
  55. Yi Chen, Zhong Jin. Reconstructive discriminant analysis: A feature extraction method induced from linear regression classification. Neurocomputing, 87: 41-50 (2012). [pdf]
  56. Jingbo Zhou, Shangbing Gao, Zhong Jin. A New Connected Coherence Tree Algorithm For Image Segmentation. KSII Transactiona on Internet and Informationation of System (TIIS), 6(4): 1188-1202 (2012). [pdf]
  57. Hao Zheng, Jianchun Xie, Zhong Jin. Heteroscedastic Sparse Representation Based Classification for Face Recognition. Neural Processing Letters, 35(3): 233-244 (2012). [pdf]
  58. Yi Chen, Jun Yin, Jie Zhu, Zhong Jin. Dimensionality Reduction via Locally Reconstructive Patch Alignment. Optical Engineering, 51(8): 077208, 2012. [pdf]
  59. Ying Cui, Zhong Jin, Wankou Yang. A Two Step Face Alignment Approach Using Statistical Models. International Journal of Advanced Robotic Systems, 2012. [pdf]
  60. Ying Cui, Zhong Jin. Facial Feature Points Tracking Based on AAM with Optical Flow Constrained Initialization. Journal of Pattern Recognition Research, 2012. [pdf]
  61. 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. [pdf]
  62. Zhihui Lai, Wai Keung 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. [pdf]
  63. Jun Yin, Zhong Jin. From NLDA to LDA/GSVD: a modified NLDA algorithm. Neural Computing and Applications, 21(7): 1575-1583 (2012) [pdf]
  64. Jun Yin, Zhonghua Liu, Zhong Jin, Wankou Yang. Kernel sparse representation based classification. Neurocomputing, 77(1): 120-128 (2012). [pdf]
  65. Jun Yin, Jingbo Zhou, Zhong Jin, Jian Yang. Weighted linear embedding: utilizing local and nonlocal information sufficiently. Neural Computing and Applications. 21(8): 1845-1853 (2012) [pdf]
  66. Minghua Wan, Ming Li, Zhihui Lai, Jun Yin, Zhong Jin: Feature extraction based on fuzzy class mean embedding (FCME) with its application to face and palm biometrics. Mach. Vis. Appl. 23(5): 985-997 (2012) [pdf]
  67. Zhihui Lai, Cairong Zhao, Yi Chen, Zhong Jin. Maximal local interclass embedding with application to face recognition. Machine Vision and Applications, 22(4): 619-627 (2011). [pdf]
  68. Zhihui Lai, Minghua Wan, Zhong Jin. Locality preserving embedding for face and handwriting digital recognition. Neural Computing and Applications 20(4): 565-573 (2011). [pdf]
  69. Zhihui Lai, Minghua Wan, Zhong Jin, Jian Yang. Sparse two-dimensional local discriminant projections for feature extraction. Neurocomputing, 2011, 74(4): 629-637. [pdf]
  70. Minghua Wan, Zhihui Lai, Zhong Jin. Locally Minimizing Embedding and Globally Maximizing Variance: Unsupervised Linear Difference Projection for Dimensionality Reduction. Neural Processing Letters 33(3): 267-282 (2011). [pdf]
  71. Minghua Wan, Zhihui Lai, Zhong Jin. Feature extraction using two-dimensional local graph embedding based on maximum margin criterion. Applied Mathematics and Computation 217(23): 9659-9668 (2011). [pdf]
  72. Minghua Wan , Guowei Yang, Wei Huang, Zhong Jin. Class mean embedding for face recognition. Artificial Intelligence Review, 36(4): 285-297 , 2011. [pdf]
  73. Zhonghua Liu, Zhong Jin. Enhanced discriminative locality alignment and its kernel extension. Optical Engineering, 50(8), 087002 (2011). [pdf]
  74. Zhonghua Liu, Yuan Zhou, Zhong Jin. Dual-space neighborhood discriminant embedding for face recognition. Journal of Computational Information Systems, 2011, 7(4): 1100-1107. [pdf]
  75. Gui-Fu Lu, Zhong Lin, Zhong Jin. Orthogonal Complete Discriminant Locality Preserving Projections for Face Recognition. Neural Processing Letters 33(3): 235-250 (2011). [pdf]
  76. Gui-Fu Lu, Zhong Lin, Zhong Jin. Face recognition using regularized generalized discriminant locality preserving projections. IET Computer Vision, 2011,5(2) 107-116. [pdf]
  77. Yong Xu, David Zhang, Jian Yang, Zhong Jin, Jingyu Yang. Evaluate dissimilarity of samples in feature space for improving KPCA. International Journal of Information Technology & Decision Making, 2011, 10(3): 479-495. [pdf]
  78. Gui-Fu Lu, Zhong Lin, Zhong Jin. Face recognition using discriminant locality preserving projections based on maximum margin criterion. Pattern Recognition, 2010, 43 (10): 3572- 3579.
  79. Mingming Sun, ChuanCai Liu, Jian Yang, Zhong Jin, Jingyu Yang. A two-step framework for highly nonlinear data unfolding. Neurocomputing, 2010, 73(10-12): 1801-1807.
  80. Minghua Wan, Zhihui Lai, Zhong Jin, Jun Yin. Feature Extraction and Classification Using Fuzzy Linear Preserving Projections (FLPP). Journal of Computational Information Systems, 2010, 6(5): 1475-1482.
  81. Zhihui Lai, Zhong Jin. Local Maximal Margin Projections for Face Recognition. Journal of Computational Information Systems, 2010, 6(13): 4285-4293.
  82. Chuanbo Huang, Zhihui Lai, Minghua Wan, Zhong Jin. Incremental Semi-supervised Label Propagation in Image Retrieval. ICIC Express Letters,2010,4(1):263-268.
  83. Chuanbo Huang, Zhong Jin. Multiresolution Analysis based on Visual Attention for Image Retrieval. Journal of Computational Information Systems, 2010,6(13):4401-4408.
  84. Jun Yin, Zhong Jin, Jingbo Zhou. Normalized Direct Linear Discriminant Analysis with its Application to Face Recognition. International Journal of Digital Content Technology and its Applications, 2010, 4(9):242-251.
  85. Minghua Wan, Zhihui Lai, Jie Shao, Zhong Jin. Two-dimensional local graph embedding discriminant analysis (2DLGEDA) with its application to face and palm biometrics. Neurocomputing, Volume 73, Issues 1-3, December 2009, Pages 197-203.
  86. Zhong Jin, Zhen Lou, Jingyu Yang, Quansen Sun. Face detection using template matching and skin-color information. Neurocomputing, 2007, vol. 70, issues 4-6, pp. 794-800.
  87. Yong Xu, David Zhang, Fengxi Song, Jing-Yu Yang, Zhong Jin, Miao Li. A method for speeding up feature extraction based on KPCA. Neurocomputing, 2007, vol. 70, Issues 4-6, pp. 1056-1061
  88. Yong Xu, David Zhang, Zhong Jin, Miao Li, Jing-Yu Yang. A fast kernel-based nonlinear discriminant analysis for multi-class problems. Pattern Recognition, 39(6), 2006, 1026-1033.
  89. Yujie Zheng, Jing-yu Yang, Jian Yang, Xiaojun Wu, and Zhong Jin. Nearest neighbor line nonparametric discriminant analysis for feature extraction, IEE Electronic Letters, 42 (12): 679-680, JUN 8, 2006.
  90. Jian Yang, Alejandro F. Frangi, Jing-yu Yang, David Zhang, and Zhong Jin. KPCA plus LDA: A complete kernel Fisher discriminant framework for feature extraction and recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence, 27(2): 230-244, 2005.
  91. Jian Yang, Zhong Jin, Jingyu Yang, David Zhang, Alejandro F. Frangi. Essence of kernel Fisher discriminant: KPCA plus LDA. Pattern Recognition, 37(10): 2097-2100, 2004.
  92. Yong Xu, Jing-Yu Yang, Zhong Jin. A novel method for Fisher discriminant analysis. Pattern Recognition, 37(2): 381-384,2004.
  93. Irwin King, Zhong Jin. Integrated Probability Function and Its Application to Content-Based Image Retrieval By Relevance Feedback. Pattern Recognition, 36(9): 2177-2186, 2003.
  94. Xiaoyuan Jing, David Zhang, Zhong Jin. UODV: improved algorithm and generalized theory. Pattern Recognition, 36(11): 2593-2602, 2003.
  95. Xiaoyuan Jing, David Zhang, Zhong Jin. Improvements on the uncorrelated optimal discriminant vectors. Pattern Recognition, 36(8): 1921-1923, 2003.
  96. Yong Xu, Jing-Yu Yang, Zhong Jin. Theory analysis on FSLDA and ULDA. Pattern Recognition, 36(12): 3031-3033, 2003.
  97. Zhong Jin, Jingyu Yang, Zhongshan Hu, Zhen Lou. Face recognition based on the uncorrelated discriminant transformation. Pattern Recognition, 2001, 34(7):1405-1416.
  98. Zhong Jin, Jingyu Yang, Zhenmin Tang, Zhongshan Hu. A theorem on the uncorrelated optimal discriminant vectors. Pattern Recognition, 2001, 34(10):2041-2047.
Papers in international conferences

  1. Fei Yang, Huan Wang, Zhong Jin. Adaptive GMM Convolution for Point Cloud Learning. The 32nd British Machine Vision Conference (BMVC), online, November 22-25, 2021
  2. Xiaobo Wang, Wenyun Sun, Zhong Jin. Facial Representation Extraction by Mutual Information Maximization and Correlation Minimization. 13th Asian Conference on Intelligent Information and Database Systems (ACIIDS), 811-823, Phuket, Thailand, April 7-10, 2021
  3. Andong Wang, Chao Li, Zhong Jin, Qibin Zhao. Robust Tensor Decomposition via Orientation Invariant Tubal Nuclear Norms. 34th AAAI Conference on Artificial Intelligence, 6102-6109, New York, USA, February 7-12, 2020
  4. Xulin Song, Jingyu Yang, Zhong Jin. Residual Attention Encoding Neural Network for Terrain Texture Classification. ACPR (2) 2019: 52-63
  5. Andong Wang, Zhong Jin, Jingyu Yang. A Factorization Strategy for Tensor Robust PCA. ACPR (1) 2019: 424-437
  6. Andong Wang, Xulin Song, Xiyin Wu, Zhihui Lai, Zhong Jin. Latent Schatten TT Norm for Tensor Completion. ICASSP 2019: 2922-2926
  7. Andong Wang, Xulin Song, Xiyin Wu, Zhihui Lai, Zhong Jin. Generalized Dantzig Selector for Low-tubal-rank Tensor Recovery. ICASSP 2019: 3427-3431
  8. Andong Wang, Xulin Song, Xiyin Wu, Zhihui Lai, Zhong Jin. Robust Low-tubal-rank Tensor Completion. ICASSP 2019: 3432-3436
  9. Xiyin Wu, Dongxu Gao, Bryan M. Williams, Amira Stylianides, Yalin Zheng, Zhong Jin. Joint Destriping and Segmentation of OCTA Images. MIUA 2019: 423-435
  10. Xiyin Wu, Xiaodi Ma, Jinxia Zhang, Andong Wang, Zhong Jin. Salient Object Detection Via Deformed Smoothness Constraint. ICIP 2018: 2815-2819
  11. Fei Yang, Jian Yang, Zhong Jin, Huan Wang. A Fusion Model for Road Detection based on Deep Learning and Fully Connected CRF. SoSE 2018: 29-36
  12. Andong Wang, Zhong Jin, Xiangrui Li. Coherent Low-tubal-Rank Tensor Completion. ACPR 2017: 518-523
  13. Xiaoling Xu, Zhong Jin. Facial Age Estimation via Label-Sensitive Supervised Neighborhood-Based Fisher Discriminant Analysis and Two-Steps Local Regression. ACPR 2017: 611-616
  14. Wei Jiang, Zhong Jin. Integrating Bidirectional LSTM with Inception for Text Classification. ACPR 2017: 870-875
  15. Andong Wang, Zhong Jin. Near-Optimal Noisy Low-Tubal-Rank Tensor Completion via Singular Tube Thresholding. ICDM Workshops 2017: 553-560
  16. Yu Chen, Jianjun Qian, Jian Yang, Zhong Jin. Face alignment with Cascaded Bidirectional LSTM Neural Networks. ICPR 2016: 313-318
  17. Wenyun Sun, Haitao Zhao, Zhong Jin. 3D Convolutional Neural Networks for Facial Expression Classification. ACCV Workshop, 2016.
  18. Yanping Yin, Zhong Jin. Document Sentiment Classification based on Word Embedding. The 5th International Conference on Computer Applications and Industrial Electronics (ICCAIE 2015), 2: 456-461, Chongqing, Nov.28-29, 2015.
  19. Yingjie Gu, Dawid Zydek, and Zhong Jin. Active Learning Based on Random Forest and Its Application to Terrain Classification. International Conference on Systems Engineering. 2015: 273-278. [pdf]
  20. Ying Tai, Jianjun Qian, Jian Yang, Zhong Jin. Face Recognition with Image Misalignment via Structure Constraint Coding. ACCV Workshop，3: 558-573， 2014.
  21. Hui Yan, Zhong Jin, Jian Yang. Sparse Representation Preserving for Unsupervised Feature Selection. ICPR，1574-1578，2014.
  22. Xiaobo Chen, Jian Yang, Zhong Jin. An Improved Linear Discriminant Analysis with L1-Norm for Robust Feature Extraction. ICPR， 1585-1590，2014.
  23. Fangjun Kuang, Zhong Jin, Weihong Xu, Siyang Zhang. A novel chaotic artificial bee colony algorithm based on Tent map. IEEE Congress on Evolutionary Computation (CEC), 235-241, July 6-11, 2014, Beijing, China [pdf]
  24. Yingjie Gu, Zhong Jin, and Steve C. Chiu. Active Learning with Maximum Density and Minimum Redundancy. International Conference on Neural Information Processing (ICONIP), 2014: 103-110. [pdf]
  25. Yingjie Gu, Zhong Jin, and Steve C. Chiu. Combining Active Learning and Semi-Supervised Learning Using Local and Global Consistency. International Conference on Neural Information Processing (ICONIP), 2014: 215-222. [pdf]
  26. Yan Cui, Xiaodong Cai, Zhong Jin. Semi-supervised classification using sparse representation for cancer recurrence prediction. 2013 IEEE International Workshop on Genomic Signal Processing and Statistics (GENSiPS 2013), pp. 102-105, November 17–19, 2013, Houston, Texas, USA.
  27. Jingbo Zhou, Zhong Jin, Jingyu Yang. Multiscale saliency detection using principle component analysis. IJCNN, 2012: 1-6. [pdf]
  28. Yan Cui, Zhong Jin. Feature extraction using fuzzy complete linear discriminant analysis. FUZZ-IEEE, 2012: 1-5. [pdf]
  29. Jun Ye, Zhong Jin. Nonnegative Matrix Factorization on Orthogonal Subspace with Smoothed L0 norm constrained. IScIDE, 2012, pp. 1-7. [pdf]
  30. Yin Liu, Ying Cui, Zhong Jin. Neighborhood-Preserving Estimation Algorithm for Facial Landmark Points. IScIDE, 2012, pp. 630-638. [pdf]
  31. Yan Shao, Zhong Jin. Trademark Image Retrieval Based On Improved Distance Measure of Moments. NCIS-CMSP, 2012. [pdf]
  32. Shenglan Ben, Zhong Jin, Jingyu Yang. Automatic fuzzy clustering based on mistake analysis. ICPR 2012: 2914-2917. []
  33. Yi Chen, Zhong Jin. Feature Extraction Using Class-oriented Regression Embedding. Asian Conference on Pattern Recognition, pp. 520-524, Nov. 28-30, 2011. Beijing, China. [pdf]
  34. Zhihui Lai, Qingcai Chen, Zhong Jin. Sparse bilinear preserving projections. Asian Conference on Pattern Recognition, pp. 372-376, Nov. 28-30, 2011. Beijing, China. [pdf]
  35. Shenglan Ben, Zhong Jin, Jingyu Yang. Guided fuzzy clustering with multi-prototypes. The 2011 International Joint Conference on Neural Networks (IJCNN), pp. 2430-2436, July 31 - Aug. 5, 2011, San Jose, CA, USA.
  36. Zhihui Lai, Zhong Jin, Jian Yang, W.K. Wong. Sparse Local Discriminant Projections for Face Feature Extraction. 20th International Conference on Pattern Recognition (ICPR 2010), Istanbul, Turkey, Aug. 23-26, 2010, pp. 926-929.
  37. Minghua Wan, Zhihui Lai, Zhong Jin. Feature Extraction Based on Class Mean Embedding (CME). 20th International Conference on Pattern Recognition (ICPR 2010), Istanbul, Turkey, Aug. 23-26, 2010, pp. 4174-4177.
  38. Zhonghua Liu,Jingbo Zhou, Zhong Jin. Face recognition based on illumination adaptive LDA. 20th International Conference on Pattern Recognition (ICPR 2010), Istanbul, Turkey, Aug. 23-26, 2010, pp. 894-897.
  39. Zhihui Lai, Zhong Jin, W.K. Wong. Tangent space discriminant analysis for feature extraction. In Proceedings of IEEE 17th International Conference on Image Processing (ICIP2010), Hong Kong, 2010, pp. 3793-3796.
  40. Jun Yin, Zhong Jin. A Modified NLDA Algorithm. In Proceedings of IEEE 17th International Conference on Image Processing (ICIP2010), Hong Kong. 26-29 Sept. 2010, pp. 4513-4516.
  41. Jun Yin, Jingbo Zhou, Zhong Jin, Jian Yang. Weighted Linear Embedding and Its Applications to Finger-Knuckle-Print and Palmprint Recognition. In Proceedings of 2010 International Workshop on Emerging Techniques and Challenges for Hand-Based Biometrics (ETCHB2010), Istanbul, Turkey, 22 Aug. 2010, pp. 1-4
  42. Zhonghua Liu, Jingbo Zhou, Jun Yin, Zhong Jin. Face recognition based on the quotient image method and sparse representation. The sixth international conference on Natural Computation, Yantai, August 10-12, 2010, pp. 967-971.
  43. Chuan-Bo Huang, Zhong Jin. Semi-supervised Local Discriminant Embedding. In the Proceedings of ICIC2010, Lecture Notes in Computer Sciences(LNCS) 6215, pp. 415-422, Changsha, China, Aug. 18-21, 2010.
  44. Ying Cui, Zhong Jin. AAM-Based Face Modeling and Landmark Selection. In Proceedings of the Third International Conference on Information and Computing Science (ICIC2010), vol.2, pp. 281-284, June 4-6, 2010, Wuxi, China.
  45. Mingming Sun, Zhong Jin, Jian Yang, Jingyu Yang. Distance penalization embedding for unsupervised dimensionality reduction. In Proceedings of the Eighth International Conference on Machine Learning and Cybernetics, Baoding, 12-15 Joly, 2009, pp. 371-376.
  46. Zhihui Lai, Zhong Jin, Frank Davoine. Marginal and Nonlocal Discriminant Embedding for Face Recognition. In Proceedings of the 2009 Chinese Conference on Pattern Recognition (2009 CCPR) & the first CJK Joint Workshop on Pattern Recognition (CJKPR), vol.2, pp. 849-853, Nov. 4-6, 2009, Nanjing, China.
  47. Minghua Wan, Zhen Lou, Zhong Jin. Margin Maximum Embedding Discriminant (MMED) for Feature Extraction and Classification. In Proceedings of the 2009 Chinese Conference on Pattern Recognition (2009 CCPR) & the first CJK Joint Workshop on Pattern Recognition (CJKPR), vol.2, pp. 789-793, Nov. 4-6, 2009, Nanjing, China.
  48. Zhihui Lai, Minghua Wan, Zhong Jin. Locality preserving embedding. In Proceedings of International Conference on Information Science and Engineering, Dec. 26-28, 2009, Nanjing, China
  49. Minghua Wan, Zhihui Lai, Jie Shao, Chuanbo Huang, Zhong Jin. Fuzzy Local Discriminant Embedding (FLDE) For Face Recognition. In Proceedings of International Conference on Information Science and Engineering, Dec. 26-28, 2009, Nanjing, China.
  50. Zhen Lou, Zhong Jin. Integrated Probability Function On Local Mean Distance For Image Recognition. In Proceedings of the 19th International Conference on Pattern Recognition,Tampa, Florida, December 8-11, 2008.
  51. Zhen Lou, Jingyu Yang, Zhong Jin. Recognition and checkout of legal amounts on Chinese bank cheques. In Proceedings of the 2008 International Conference on Wavelet analysis and Pattern Recognition, pp. 395-400, Hong Kong, August 30-31, 2008.
  52. Zhen Lou, Zhong Jin, and Xuecheng Zhao. Correlation-based local mean classifier for pattern recognition. In Proceedings of 2008 International Pre-Olympic Congress on Computer Sciences, vol. I, pp. 187-192, Nanjing, China, August 5-7, 2008.
  53. Zhihui Lai, Cairong Zhao, Zhonghua Liu, Zhong Jin. Tri-direction based 2D-FDA for face recognition. In Proceedings of 2008 International Pre-Olympic Congress on Computer Sciences, vol. II, pp. 182-188, Nanjing, China, August 5-7, 2008.
  54. Jian Yang, Zhen Lou, Zhong Jin, and Jing-yu Yang, Minimal Local Reconstruction Error Measure Based Discriminant Feature Extraction and Classi.cation, IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), pp. 1-6, Alaska, June 23-28, 2008.
  55. Yong Xu, Zhong Jin. Down-sampling face images and low-resolution face recognition. In Proceedings of the 3rd International Conference on Innovative Computing Information and Control, pp. 392, Dalian, June 18-20, 2008.
  56. Yong Xu, Jing-Yu Yang, Zhong Jin, Chuancai Liu. A learning approach to derive sparse Kernel minimum square error model. 2007 IEEE International Conference on Control and Automation (ICCA2007), pp. 1278-1283, 2007.
  57. Yu-Wang Yang, Xiao-Yon Tu, Zhong Jin, Jing-Yu Yang. Interpolationfaces method and its applications for face recognition. Proceedings of the 2007 International Conference on Wavelet Analysis and Pattern Recognition (ICWAPR 2007), v2, p 636-640, 2007.
  58. Yingnan Zhao, Zhong Jin, Jingyu Yang, Chuancai Lium Xianquan Meng. Practical parameters design for Gabor filters with application to face recognition. In Proceedings of the Sixth International Conference on Machine Learning and Cybernetics, pp. 2229-2234, August 19-22, 2007, Hong Kong.
  59. Ting-Kai Sun, Song-Can Chen, Zhong Jin, Jing-Yu Yang. Kernelized discriminative canonical correlation analysis. In Proceedings of the 2007 International Conference on Wavelet Analysis and Pattern Recognition, Volume 3, pp. 1283-1287, Beijing, China, 2-4 Nov. 2007.
  60. Zhen Lou and Zhong Jin. Novel Adaptive Nearest Neighbor Classifiers Based On Hit-Distance. In Proceedings of the 18th International Conference on Pattern Recognition (ICPR 2006), Vol. 3, pages 87-90. Aug. 20-24, 2006.
  61. Jian Yang, David Zhang, Zhong Jin, Jing-yu Yang. Unsupervised Discriminant Projection Analysis for Feature Extraction, In Proceedings of the 18th International Conference on Pattern Recognition (ICPR 2006), Vol. 1, pages 904-907. Aug. 20-24, 2006.
  62. Quan-Sen Sun, Zhong Jin, Pheng-Ann Heng and De-Shen Xia. An Indirect and Efficient Approach for Solving Uncorrelated Optimal Discriminant Vectors. Volume 4114 of LNCS, Pages 1204-1209. Special Session on Intelligence Computation and Its Application, 2006.
  63. Yong Xu, David Zhang, Jing-Yu Yang, Zhong Jing, Miao Li, Efficient KPCA-based Feature Extraction: A novel algorithm and experiments, in D.-S. Huang, K. Li. and G. W. Irwin (Eds): International Conference on Intelligent Computing 2006, Lecture Notes in Control and Information Science, pp.220-229, August 16-19, 2006. Kunming, China.
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  65. Yong Xu, Bin Sun, Chong-Yang Zhang, Zhong Jin, Chuan-Cai Liu, Jing-Yu Yang. An implementation framework for kernel methods with high-dimensional patterns. Proceedings of the 2006 International Conference on Machine Learning and Cybernetics, pp. 3271-3276, 2006.
  66. Zhong Jin, Franck Davoine, Zhen Lou and Jingyu Yang. A novel PCA-based Bayes classifier and face analysis. Lecture Notes in Computer Science, volume 3832, pages 144-150, Hong Kong, January 5-7, 2006. Springer.
  67. Quan-sen Sun, Zhong Jin, Pheng-ann Heng, and De-shen Xia. A novel feature fusion method based on partial least squares regression. Lecture Notes in Computer Science, volume 3686, pages 268-277, Bath, United Kingdom, August 22-25, 2005. Springer.
  68. Quan-sen Sun, Pheng-ann Heng, Zhong Jin, and De-shen Xia. Face recognition based on generalized canonical correlation analysis. Lecture Notes in Computer Science, volume 3645, pages 958-967, Hefei China, August 23-28, 2005. Springer.
  69. Zhong Jin, Zhen Lou, Jingyu Yang, and Quansen Sun. Face detection using template matching and skin color information. In International Conference on Intelligent Computing (CD-ROM), pages 636-645, August 23-26, 2005. Hefei, China.
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  71. Zhong Jin, Franck Davoine. Orthogonal ICA representation of images. In 8th International Conference on Control, Automation, Robotics and Vision, pp369-374, Kunming, China, 6-9th December 2004.
  72. Zhong Jin, Franck Davoine, Zhen Lou. An effective EM algorithm for PCA mixture model. In Structural, Syntactic and Statistical Pattern Recognition, volume 3138 of Lecture Notes in Computer Science, pages 626-634, Lisbon, Portugal, August 18-20, 2004. Springer.
  73. Zhong Jin, Franck Davoine, Zhen Lou. Facial expression analysis by using KPCA. IEEE International Conference on Robotics, Intelligent Systems and Signal Processing (IEEE RISSP 2003), vol. 2, pp736-741, October 8-13, 2003, Changsha, Hunan, China.
  74. Hai-tao, Zhao, Dong-jun Yu, Zhong Jin, Jing-yu Yang. Shape and Texture Based Face Recognition. Third International Symopsium on Multispectral Image Processing and Pattern Recognition. Proceedings of SPIE Vol.5286, pp. 907-910, Beijing, Oct. 20-22,2003.
  75. Irwin King, Zhong Jin. Relevance feedback content-based image retrieval using query distribution estimation based on maximum entropy principle. In Proceedings to the International Conference on Neural Information Processing (ICONIP2001), vol. 2: 699--704, Shanghai, China, Nov. 14-18, 2001.
  76. Zhong Jin, Irwin King, Xuequn Li. Content-based image retrieval by relevance feedback. In Lecture Notes in Computer Science, vol. 1929: 521-529, Lyon, France, Nov. 2-4, 2000.
  77. Irwin King, Zhong Jin, David Yuk-Ming Chan. Chinese cursive script character image retrieval based on an integrated probability function. In Lecture Notes in Computer Science, vol. 1929: 530-539, Lyon, France, Nov. 2-4, 2000.