Journal Publications
Sun Z, Chen S, Qiao L. A Two-Step Regularization Framework for Non-Local Means.Journal of Computer Science and Technology, 2014, 29(6): 1026-1037.
Yang L, Chen S. Linear discriminant analysis with worst between-class separation and average within-class compactness.Frontiers of Computer Science, 2014, 8(5): 785-792.
Song F, Tan X, Liu X, Chen S. Eyes closeness detection from still images with multi-scale histograms of principal oriented gradients.Pattern Recognition, 2014, 47(9): 2825-2838.
Li Y, Si J, Zhou G, Chen S. FREL: A Stable Feature Selection Algorithm.IEEE transactions on Neural Networks and Learning Systems, 26(7), 1388-1402.
Zou P C, Wang J, Chen S, et al. Bagging-like metric learning for support vector regression.Knowledge-Based Systems, 2014, 65: 21-30.
Yang B, Chen S. A Comparative Study: Globality versus Locality for Graph Construction in Discriminant Analysis.Journal of Applied Mathematics, 2014.
Tian, Q, Chen, S, & Tan, X. Comparative study among three strategies of incorporating spatial structures to ordinal image regression.Neurocomputing, 2014, 136, 152-161.
Xue H, Chen S. Discriminality-driven regularization framework for indefinite kernel machine.Neurocomputing, 2014, 133: 209-221.
Wang L, Chen S, Wang Y. A unified algorithm for mixed l_ {2, p}-minimizations and its application in feature selection.Computational Optimization and Applications, 2014, 58(2): 409-421.
Song F, Tan X, Chen S. Exploiting relationship between attributes for improved face verification.Computer Vision and Image Understanding, 2014, 122: 143-154.
Sun Z, Chen S, Qiao L. A general non-local denoising model using multi-kernel-induced measures.Pattern Recognition, 2014, 47(4): 1751-1763.
Mei Y, Zhao B, Zhou Y, Chen S. Orthogonal curved-line Gabor filter for fast fingerprint enhancement.Electronics Letters, 2014, 50(3): 175-177.
Liu M, Miao L, Zhang D. Two-stage cost-sensitive learning for software defect prediction.IEEE Transactions on Reliability,2014, 63(2): 676-686.
Jie B, Zhang D, Gao W, Wang Q, Wee C, Shen D. Integration of network topological and connectivity properties for neuroimaging classification.IEEE Transactions on Biomedical Engineering, 2014, 61(2): 576-589.
Liu M, Zhang D, Chen S. Attribute relation learning for zero-shot classification.Neurocomputing, 2014, 139: 34-46.
Liu M, Zhang D. Sparsity Score: A Novel Graph-preserving Feature Selection Method.International Journal of Pattern Recognition and Artificial Intelligence, 2014.
Jie B, Zhang D, Wee C, Shen D. Topological graph kernel on multiple thresholded functional connectivity networks for mild cognitive impairment classification.Human brain mapping, 2014, 35(7): 2876-2897.
Fei F, Jie B, Zhang D. Frequent and discriminative subnetwork mining for mild cognitive impairment classification.Brain connectivity, 2014, 4(5): 347-360.
Chen M, Tan X. Part-Based Pose Estimation with Local and Non-Local Contextual Information.IET Computer Vsion, 2014.
Chen K, Tan X. Sparse representations based attribute learning for flower classification.Neurocomputing, 145, 416-426, 2014.
Conference Publications
Fei F , Jie B, Wang L, ZhangD. Discriminative subnetwork mining for multiplethresholded connectivity-networks-based classification of mildcognitive impairment. PRNI 2014,Tubingen, Germany, June 4-6,2014.
Hao X,Yu J, Zhang D. Identifying Genetic Associations with MRI-derived Measures viaTree-Guided Sparse Learning. MICCAI 2014, Boston, USA, September 14-18, 2014.
Jie B, Shen D, Zhang D. Brain connectivity hyper-network for MCI classification. MICCAI 2014, Boston, USA, September 14-18, 2014.
Wang L, Fei F , Jie B, ZhangD. Combining multiple network features for mildcognitive impairment classification. ICDMW 2014, December 14-17, Shenzhen, China.
Zhang P, Tan X, Jin X. Action Recognition from a Single Web Image Based on anEnsemble of Pose Experts. Proceedings of the 12th Asian Conference on Computer Vision (ACCV2014), Singapore, 2014.
Song F, Tan X. Learning One-Shot Exemplar SVM from the Web for FaceVerification. Proceedings of the 12th Asian Conference on Computer Vision (ACCV2014), Singapore, 2014.
Wang D, Tan X. Robust Distance Metric Learning in the Presence of Label Noise. Proceedings of the 28th AAAI Conference on Artificial Intelligence(AAAI 2014), Canada, 2014 .
Wang D, Tan X. Label-denoising Auto-Encoder for Classification with InaccurateSupervision Information. Proceedings of the 22nd International Conference on PatternRecognition (ICPR 2014), Stockholm, Sweden, 2014.