Songcan Chen

Xuesong Yin, Songcan Chen, Enliang Hu: Regularized soft K-means for discriminant analysis. Neurocomputing 103: 29-42 (2013)

Yunyun Wang, Songcan Chen: Soft large margin clustering. Inf. Sci. 232: 116-129 (2013)

Bo Wang, Jie Tang, Wei Fan, Songcan Chen, Chenhao Tan, Zi Yang: Query-dependent cross-domain ranking in heterogeneous network. Knowl. Inf. Syst. 34(1): 109-145 (2013)

Zhe Wang, Wenbo Jie, Songcan Chen, Daqi Gao: Random projection ensemble learning with multiple empirical kernels. Knowl.-Based Syst. 37: 388-393 (2013)

Xudong Zhou, Xiaohong Chen, Songcan Chen: Neighborhood Correlation Analysis for Semi-paired Two-View Data. Neural Processing Letters 37(3): 335-354 (2013)

Zhe Wang, Changming Zhu, Daqi Gao, Songcan Chen: Three-fold structured classifier design based on matrix pattern. Pattern Recognition 46(6): 1532-1555 (2013)

Zhonggui Sun, Songcan Chen: Analysis of Non-Local Euclidean Medians and Its Improvement. IEEE Signal Process. Lett. 20(4): 303-306 (2013)

Yun Li, Shasha Huang, Songcan Chen, Jennie Si: Stable L2-Regularized Ensemble Feature Weighting. MCS 2013: 167-178

Liping Wang, Songcan Chen: $l_{2,p}$ Matrix Norm and Its Application in Feature Selection. CoRR abs/1303.3987 (2013)

Yunyun Wang, Songcan Chen, Hui Xue: Can under-exploited structure of original-classes help ECOC-based multi-class classification? Neurocomputing 89: 158-167 (2012)

Zhe Wang, Jin Xu, Songcan Chen, Daqi Gao: Regularized multi-view learning machine based on response surface technique. Neurocomputing 97: 201-213 (2012)

Xubing Yang, Songcan Chen, Bin Chen: Plane-Gaussian artificial neural network. Neural Computing and Applications 21(2): 305-317 (2012)

Limei Zhang, Songcan Chen, Lishan Qiao: Graph optimization for dimensionality reduction with sparsity constraints. Pattern Recognition 45(3): 1205-1210 (2012)

Xiaohong Chen, Songcan Chen, Hui Xue, Xudong Zhou: A unified dimensionality reduction framework for semi-paired and semi-supervised multi-view data. Pattern Recognition 45(5): 2005-2018 (2012)

Qiang Qian, Songcan Chen, Weiling Cai: Simultaneous clustering and classification over cluster structure representation. Pattern Recognition 45(6): 2227-2236 (2012)

Yunyun Wang, Songcan Chen, Zhi-Hua Zhou: New Semi-Supervised Classification Method Based on Modified Cluster Assumption. IEEE Trans. Neural Netw. Learning Syst. 23(5): 689-702 (2012)

Jingjing Gu, Songcan Chen: Manifold-based canonical correlation analysis for wireless sensor network localization. Wireless Communications and Mobile Computing 12(15): 1389-1404 (2012)

Yun Li, Su-Yan Gao, Songcan Chen: Ensemble Feature Weighting Based on Local Learning and Diversity. AAAI 2012

Fengyi Song, Xiaoyang Tan, Songcan Chen: Exploiting relationship between attributes for improved face verification. BMVC 2012: 1-11

Hui Xue, Songcan Chen, Jijian Huang: Discriminative indefinite kernel classifier from pairwise constraints and unlabeled data. ICPR 2012: 497-500

Xue Liu, Xiaoyang Tan, Songcan Chen: Eyes Closeness Detection Using Appearance Based Methods. Intelligent Information Processing 2012: 398-408

Mingxia Liu, Songcan Chen, Daoqiang Zhang: Learning Attribute Relation in Attribute-Based Zero-Shot Classification. IScIDE 2012: 514-521

Qiang Qian, Songcan Chen: Metric Learning across Heterogeneous Domains by Respectively Aligning Both Priors and Posteriors. CoRR abs/1208.1829 (2012)

Guangxu Guo, Songcan Chen: Margin Distribution Controlled Boosting. CoRR abs/1208.1846 (2012)

Xiaohong Chen, Songcan Chen, Hui Xue: Large correlation analysis. Applied Mathematics and Computation 217(22): 9041-9052 (2011)

Zhe Wang, Songcan Chen, Daqi Gao: A novel multi-view classifier based on Nyström approximation. Expert Syst. Appl. 38(9): 11193-11200 (2011)

Yunyun Wang, Songcan Chen, Hui Xue: Support Vector Machine incorporated with feature discrimination. Expert Syst. Appl. 38(10): 12506-12513 (2011)

Enliang Hu, Songcan Chen, Jiankun Yu, Lishan Qiao: Two-stage nonparametric kernel leaning: From label propagation to kernel propagation. Neurocomputing 74(17): 2725-2733 (2011)

Zhipeng Xie, Songcan Chen: SCIHTBB: Sparsity constrained iterative hard thresholding with Barzilai-Borwein step size. Neurocomputing 74(17): 3663-3676 (2011)

Hui Xue, Songcan Chen: Glocalization pursuit support vector machine. Neural Computing and Applications 20(7): 1043-1053 (2011)

Bo Yang, Songcan Chen, Xindong Wu: A structurally motivated framework for discriminant analysis. Pattern Anal. Appl. 14(4): 349-367 (2011)

Zhe Wang, Songcan Chen, Daqi Gao: A novel multi-view learning developed from single-view patterns. Pattern Recognition 44(10-11): 2395-2413 (2011)

Hui Xue, Songcan Chen, Qiang Yang: Structural Regularized Support Vector Machine: A Framework for Structural Large Margin Classifier. IEEE Transactions on Neural Networks 22(4): 573-587 (2011)

Jingjing Gu, Songcan Chen, Tingkai Sun: Localization with Incompletely Paired Data in Complex Wireless Sensor Network. IEEE Transactions on Wireless Communications 10(9): 2841-2849 (2011)

Enliang Hu, Bo Wang, Songcan Chen: BCDNPKL: Scalable Non-Parametric Kernel Learning Using Block Coordinate Descent. ICML 2011: 209-216

Bo Cheng, Daoqiang Zhang, Songcan Chen, Dinggang Shen: Predicting Clinical Scores Using Semi-supervised Multimodal Relevance Vector Regression. MLMI 2011: 241-248

Bo Wang, Zhaonan Li, Jie Tang, Kuo Zhang, Songcan Chen, Liyun Ru: Learning to Advertise: How Many Ads Are Enough? PAKDD (2) 2011: 506-518

Enliang Hu, Songcan Chen, Xuesong Yin: Manifold contraction for semi-supervised classification. SCIENCE CHINA Information Sciences 53(6): 1170-1187 (2010)

Lishan Qiao, Limei Zhang, Songcan Chen: An empirical study of two typical locality preserving linear discriminant analysis methods. Neurocomputing 73(10-12): 1587-1594 (2010)

Bo Yang, Songcan Chen: Sample-dependent graph construction with application to dimensionality reduction. Neurocomputing 74(1-3): 301-314 (2010)

Yunyun Wang, Songcan Chen, Hui Xue: Structure-Embedded AUC-SVM. IJPRAI 24(5): 667-690 (2010)

Bo Yang, Songcan Chen: Disguised Discrimination of Locality-Based Unsupervised Dimensionality Reduction. IJPRAI 24(7): 1011-1025 (2010)

Zhe Wang, Songcan Chen, Hui Xue, Zhisong Pan: A Novel Regularization Learning for Single-View Patterns: Multi-View Discriminative Regularization. Neural Processing Letters 31(3): 159-175 (2010)

Enliang Hu, Xuesong Yin, Yongming Wang, Songcan Chen: SSPS: A Semi-Supervised Pattern Shift for Classification. Neural Processing Letters 31(3): 243-257 (2010)

Lishan Qiao, Songcan Chen, Xiaoyang Tan: Sparsity preserving projections with applications to face recognition. Pattern Recognition 43(1): 331-341 (2010)

Xuesong Yin, Songcan Chen, Enliang Hu, Daoqiang Zhang: Semi-supervised clustering with metric learning: An adaptive kernel method. Pattern Recognition 43(4): 1320-1333 (2010)

Limei Zhang, Lishan Qiao, Songcan Chen: Graph-optimized locality preserving projections. Pattern Recognition 43(6): 1993-2002 (2010)

Jundi Ding, RuNing Ma, Jingyu Yang, Songcan Chen: A tree-structured framework for purifying "complex" clusters with structural roles of individual data. Pattern Recognition 43(11): 3753-3767 (2010)

Lishan Qiao, Songcan Chen, Xiaoyang Tan: Sparsity preserving discriminant analysis for single training image face recognition. Pattern Recognition Letters 31(5): 422-429 (2010)

Weiling Cai, Songcan Chen, Daoqiang Zhang: A multiobjective simultaneous learning framework for clustering and classification. IEEE Transactions on Neural Networks 21(2): 185-200 (2010)

Jun Liu, Songcan Chen, Zhi-Hua Zhou, Xiaoyang Tan: Generalized low-rank approximations of matrices revisited. IEEE Transactions on Neural Networks 21(4): 621-632 (2010)

Enliang Hu, Songcan Chen, Daoqiang Zhang, Xuesong Yin: Semisupervised Kernel Matrix Learning by Kernel Propagation. IEEE Transactions on Neural Networks 21(11): 1831-1841 (2010)

Shuo Xiang, Songcan Chen, Lishan Qiao: Sparse Representation: Extract Adaptive Neighborhood for Multilabel Classification. PRICAI 2010: 304-314

Hui Xue, Yulian Zhu, Songcan Chen: Local ridge regression for face recognition. Neurocomputing 72(4-6): 1342-1346 (2009)

Zhe Wang, Songcan Chen: Multi-view kernel machine on single-view data. Neurocomputing 72(10-12): 2444-2449 (2009)

Xubing Yang, Songcan Chen, Bin Chen, Zhisong Pan: Proximal support vector machine using local information. Neurocomputing 73(1-3): 357-365 (2009)

Yulian Zhu, Jun Liu, Songcan Chen: Semi-random subspace method for face recognition. Image Vision Comput. 27(9): 1358-1370 (2009)

Hui Xue, Songcan Chen, Qiang Yang: Discriminatively regularized least-squares classification. Pattern Recognition 42(1): 93-104 (2009)

Weiling Cai, Songcan Chen, Daoqiang Zhang: A simultaneous learning framework for clustering and classification. Pattern Recognition 42(7): 1248-1259 (2009)

Xiaoyang Tan, Songcan Chen, Zhi-Hua Zhou, Jun Liu: Face recognition under occlusions and variant expressions with partial similarity. IEEE Transactions on Information Forensics and Security 4(2): 217-230 (2009)

Jundi Ding, Jialie Shen, HweeHwa Pang, Songcan Chen, Jing-Yu Yang: Exploiting Intensity Inhomogeneity to Extract Textured Objects from Natural Scenes. ACCV (3) 2009: 1-10

Bo Wang, Jie Tang, Wei Fan, Songcan Chen, Zi Yang, Yanzhu Liu: Heterogeneous cross domain ranking in latent space. CIKM 2009: 987-996

Tingkai Sun, Songcan Chen, Jing-Yu Yang, Xuelei Hu, Pengfei Shi: Discriminative Canonical Correlation Analysis with Missing Samples. CSIE (6) 2009: 95-99

Zhe Wang, Songcan Chen, Zhisong Pan, Xuelei Ni: Matrix-Pattern-Oriented Ho-Kashyap Classifier with Early Stopping. CSIE (3) 2009: 689-693

Xiaoyang Tan, Fengyi Song, Zhi-Hua Zhou, Songcan Chen: Enhanced Pictorial Structures for precise eye localization under incontrolled conditions. CVPR 2009: 1621-1628

Jun Liu, Jianhui Chen, Songcan Chen, Jieping Ye: Learning the Optimal Neighborhood Kernel for Classification. IJCAI 2009: 1144-1149

Zhe Wang, Songcan Chen, Daqi Gao: A Novel Matrix-Pattern-Oriented Ho-Kashyap Classifier with Locally Spatial Smoothness. ISNN (4) 2009: 441-449

Zhe Wang, Songcan Chen, Tingkai Sun: MultiK-MHKS: A Novel Multiple Kernel Learning Algorithm. IEEE Trans. Pattern Anal. Mach. Intell. 30(2): 348-353 (2008)

Jun Liu, Songcan Chen, Xiaoyang Tan: A study on three linear discriminant analysis based methods in small sample size problem. Pattern Recognition 41(1): 102-116 (2008)

Jun Liu, Songcan Chen, Xiaoyang Tan: Fractional order singular value decomposition representation for face recognition. Pattern Recognition 41(1): 378-395 (2008)

Daoqiang Zhang, Songcan Chen, Zhi-Hua Zhou: Constraint Score: A new filter method for feature selection with pairwise constraints. Pattern Recognition 41(5): 1440-1451 (2008)

Hui Xue, Songcan Chen, Xiaoqin Zeng: Classifier learning with a new locality regularization method. Pattern Recognition 41(5): 1479-1490 (2008)

Zhe Wang, Songcan Chen: Matrix-pattern-oriented least squares support vector classifier with AdaBoost. Pattern Recognition Letters 29(6): 745-753 (2008)

Jundi Ding, RuNing Ma, Songcan Chen: A Scale-Based Connected Coherence Tree Algorithm for Image Segmentation. IEEE Transactions on Image Processing 17(2): 204-216 (2008)

Zhe Wang, Songcan Chen, Jun Liu, Daoqiang Zhang: Pattern Representation in Feature Extraction and Classifier Design: Matrix Versus Vector. IEEE Transactions on Neural Networks 19(5): 758-769 (2008)

Daoqiang Zhang, Songcan Chen, Zhi-Hua Zhou, Qiang Yang: Constraint Projections for Ensemble Learning. AAAI 2008: 758-763

Tingkai Sun, Songcan Chen, Jing-Yu Yang, Pengfei Shi: A Novel Method of Combined Feature Extraction for Recognition. ICDM 2008: 1043-1048

Jundi Ding, RuNing Ma, Songcan Chen, Jing-Yu Yang: Clustering Using Normalized Path-Based Metric. ISNN (2) 2008: 57-66

Hui Xue, Songcan Chen, Qiang Yang: Structural Support Vector Machine. ISNN (1) 2008: 501-511

Tingkai Sun, Songcan Chen: Class label versus sample label-based CCA. Applied Mathematics and Computation 185(1): 272-283 (2007)

Jun Liu, Songcan Chen, Xiaoyang Tan, Daoqiang Zhang: Efficient Pseudoinverse Linear Discriminant Analysis and its Nonlinear Form for Face Recognition. IJPRAI 21(8): 1265-1278 (2007)

Daoqiang Zhang, Songcan Chen, Zhi-Hua Zhou: Entropy-Inspired Competitive Clustering Algorithms. Int. J. Software and Informatics 1(1): 67-84 (2007)

Tingkai Sun, Songcan Chen: Locality preserving CCA with applications to data visualization and pose estimation. Image Vision Comput. 25(5): 531-543 (2007)

Zhe Wang, Songcan Chen: New Least Squares Support Vector Machines Based on Matrix Patterns. Neural Processing Letters 26(1): 41-56 (2007)

Weiling Cai, Songcan Chen, Daoqiang Zhang: Fast and robust fuzzy c-means clustering algorithms incorporating local information for image segmentation. Pattern Recognition 40(3): 825-838 (2007)

Songcan Chen, Zhe Wang, Yongjun Tian: Matrix-pattern-oriented Ho-Kashyap classifier with regularization learning. Pattern Recognition 40(5): 1533-1543 (2007)

Weiling Cai, Songcan Chen, Daoqiang Zhang: Robust fuzzy relational classifier incorporating the soft class labels. Pattern Recognition Letters 28(16): 2250-2263 (2007)

Jun Liu, Songcan Chen, Xiaoyang Tan, Daoqiang Zhang: Comments on "Efficient and Robust Feature Extraction by Maximum Margin Criterion". IEEE Transactions on Neural Networks 18(6): 1862-1864 (2007)

Jun Liu, Songcan Chen, Zhi-Hua Zhou, Xiaoyang Tan: Single Image Subspace for Face Recognition. AMFG 2007: 205-219

Ming Yang, Songcan Chen, Xubing Yang: A Novel Approach of Rough Set-Based Attribute Reduction Using Fuzzy Discernibility Matrix. FSKD (3) 2007: 96-101

Daoqiang Zhang, Zhi-Hua Zhou, Songcan Chen: Semi-Supervised Dimensionality Reduction. SDM 2007

Xiaoyang Tan, Jun Liu, Songcan Chen: Sub-intrapersonal space analysis for face recognition. Neurocomputing 69(13-15): 1796-1801 (2006)

Qun Dai, Songcan Chen: Integrating the improved CBP model with kernel SOM. Neurocomputing 69(16-18): 2208-2216 (2006)

Songcan Chen, Daohong Li: Image binarization focusing on objects. Neurocomputing 69(16-18): 2411-2415 (2006)

Jun Liu, Songcan Chen: Discriminant common vectors versus neighbourhood components analysis and Laplacianfaces: A comparative study in small sample size problem. Image Vision Comput. 24(3): 249-262 (2006)

Lei Chen, Songcan Chen: Distance-Based Sparse Associative Memory Neural Network Algorithm for Pattern Recognition. Neural Processing Letters 24(1): 67-80 (2006)

Daoqiang Zhang, Songcan Chen, Zhi-Hua Zhou: Learning the kernel parameters in kernel minimum distance classifier. Pattern Recognition 39(1): 133-135 (2006)

Daoqiang Zhang, Zhi-Hua Zhou, Songcan Chen: Diagonal principal component analysis for face recognition. Pattern Recognition 39(1): 140-142 (2006)

Xiaoyang Tan, Songcan Chen, Zhi-Hua Zhou, Fuyan Zhang: Face recognition from a single image per person: A survey. Pattern Recognition 39(9): 1725-1745 (2006)

Jun Liu, Songcan Chen: Non-iterative generalized low rank approximation of matrices. Pattern Recognition Letters 27(9): 1002-1008 (2006)

Xiaoyang Tan, Songcan Chen, Jun Li, Zhi-Hua Zhou: Learning Non-Metric Partial Similarity Based on Maximal Margin Criterion. CVPR (1) 2006: 138-145

Daoqiang Zhang, Zhi-Hua Zhou, Songcan Chen: Adaptive Kernel Principal Component Analysis with Unsupervised Learning of Kernels. ICDM 2006: 1178-1182

Jundi Ding, Songcan Chen, RuNing Ma, Bo Wang: A Fast Directed Tree Based Neighborhood Clustering Algorithm for Image Segmentation. ICONIP (2) 2006: 369-378

Xiaoyang Tan, Jun Liu, Songcan Chen: Recognition from a Single Sample per Person with Multiple SOM Fusion. ISNN (2) 2006: 128-133

Daoqiang Zhang, Zhi-Hua Zhou, Songcan Chen: Non-negative Matrix Factorization on Kernels. PRICAI 2006: 404-412

Daoqiang Zhang, Songcan Chen, Zhi-Hua Zhou: Recognizing Face or Object from a Single Image: Linear vs. Kernel Methods on 2D Patterns. SSPR/SPR 2006: 889-897

Daoqiang Zhang, Songcan Chen, Zhi-Hua Zhou: A new face recognition method based on SVD perturbation for single example image per person. Applied Mathematics and Computation 163(2): 895-907 (2005)

Keren Tan, Songcan Chen: Adaptively weighted sub-pattern PCA for face recognition. Neurocomputing 64: 505-511 (2005)

Songcan Chen, Min Wang: Seeking multi-thresholds directly from support vectors for image segmentation. Neurocomputing 67: 335-344 (2005)

Songcan Chen, Lei Chen, Zhi-Hua Zhou: A unified SWSI-KAMs framework and performance evaluation on face recognition. Neurocomputing 68: 54-69 (2005)

Daoqiang Zhang, Songcan Chen: Fast image compression using matrix K-L transform. Neurocomputing 68: 258-266 (2005)

Songcan Chen, Tingkai Sun: Class-information-incorporated principal component analysis. Neurocomputing 69(1-3): 216-223 (2005)

Songcan Chen, Qun Dai: Discounted least squares-improved circular back-propogation neural networks with applications in time series prediction. Neural Computing and Applications 14(3): 250-255 (2005)

Daoqiang Zhang, Songcan Chen, Keren Tan: Improving the Robustness of 'Online Agglomerative Clustering Method' Based on Kernel-Induce Distance Measures. Neural Processing Letters 21(1): 45-51 (2005)

Qun Dai, Songcan Chen: Chained DLS-ICBP Neural Networks with Multiple Steps Time Series Prediction. Neural Processing Letters 21(2): 95-107 (2005)

Songcan Chen, Daohong Li: Modified linear discriminant analysis. Pattern Recognition 38(3): 441-443 (2005)

Songcan Chen, Yulian Zhu, Daoqiang Zhang, Jing-Yu Yang: Feature extraction approaches based on matrix pattern: MatPCA and MatFLDA. Pattern Recognition Letters 26(8): 1157-1167 (2005)

Min Wang, Songcan Chen: Enhanced FMAM based on empirical kernel map. IEEE Transactions on Neural Networks 16(3): 557-564 (2005)

Xiaoyang Tan, Songcan Chen, Zhi-Hua Zhou, Fuyan Zhang: Recognizing partially occluded, expression variant faces from single training image per person with SOM and soft k-NN ensemble. IEEE Transactions on Neural Networks 16(4): 875-886 (2005)

Daoqiang Zhang, Songcan Chen, Zhi-Hua Zhou: Two-Dimensional Non-negative Matrix Factorization for Face Representation and Recognition. AMFG 2005: 350-363

Jun Liu, Songcan Chen: Resampling LDA/QR and PCA+LDA for Face Recognition. Australian Conference on Artificial Intelligence 2005: 1221-1224

Xiaoyang Tan, Jun Liu, Songcan Chen, Fuyan Zhang: Weighted SOM-Face: Selecting Local Features for Recognition from Individual Face Image. IDEAL 2005: 351-358

Daoqiang Zhang, Songcan Chen, Jun Liu: Representing Image Matrices: Eigenimages Versus Eigenvectors. ISNN (2) 2005: 659-664

Xiaoyang Tan, Songcan Chen, Zhi-Hua Zhou, Fuyan Zhang: Feature Selection for High Dimensional Face Image Using Self-organizing Maps. PAKDD 2005: 500-504

Songcan Chen, Yulian Zhu: Subpattern-based principle component analysis. Pattern Recognition 37(5): 1081-1083 (2004)

Songcan Chen, Xubing Yang: Alternative linear discriminant classifier. Pattern Recognition 37(7): 1545-1547 (2004)

Songcan Chen, Jun Liu, Zhi-Hua Zhou: Making FLDA applicable to face recognition with one sample per person. Pattern Recognition 37(7): 1553-1555 (2004)

Songcan Chen, Daoqiang Zhang, Zhi-Hua Zhou: Enhanced (PC)² A for face recognition with one training image per person. Pattern Recognition Letters 25(10): 1173-1181 (2004)

Songcan Chen, Daoqiang Zhang: Robust image segmentation using FCM with spatial constraints based on new kernel-induced distance measure. IEEE Transactions on Systems, Man, and Cybernetics, Part B 34(4): 1907-1916 (2004)

Daoqiang Zhang, Keren Tan, Songcan Chen: Semi-supervised Kernel-Based Fuzzy C-Means. ICONIP 2004: 1229-1234

Keren Tan, Songcan Chen, Daoqiang Zhang: Robust Image Denoising Using Kernel-Induced Measures. ICPR (4) 2004: 685-688

Daoqiang Zhang, Songcan Chen, Zhi-Hua Zhou: Fuzzy-Kernel Learning Vector Quantization. ISNN (1) 2004: 180-185

Jun Liu, Songcan Chen, Zhi-Hua Zhou: Progressive Principal Component Analysis. ISNN (1) 2004: 768-773

Xiaoyang Tan, Songcan Chen, Zhi-Hua Zhou, Fuyan Zhang: Robust Face Recognition from a Single Training Image per Person with Kernel-Based SOM-Face. ISNN (1) 2004: 858-863

Qun Dai, Songcan Chen, Benzhu Zhang: Improved CBP Neural Network Model with Applications in Time Series Prediction. Neural Processing Letters 18(3): 217-231 (2003)