Journal Publications

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

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

Wang, Y, Chen, S, & Xue, H. Can under-exploited structure of original-classes help ECOC-based multi-class classification?. Neurocomputing, 2012, 89, 158-167.

Wang, Z, Xu, J, Chen, S, &Gao, D. Regularized multi-view learning machine based on response surface technique. Neurocomputing, 2012, 97, 201-213.

Yang, X., Chen, S., & Chen, B.Plane-Gaussian artificial neural network. NeuralComputing and Applications, 2012, 21(2), 305-317.

Zhang, L., Chen, S., & Qiao, L.Graph optimization for dimensionality reduction with sparsity constraints. Pattern Recognition, 2012, 45(3), 1205-1210.

Wang, Y., Chen, S., & Zhou, Z.H. New semi-supervised classification method based on modified cluster assumption. IEEE Transactions on Neural Networksand Learning Systems, 2012, 23(5), 689-702.

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

 Zhang D, Shen D. Predicting future clinical changes of MCI patients usinglongitudinal and multimodal biomarkers. PloS one, 2012. 

 Zhang D, Shen D. Multi-modal multi-task learning for joint prediction of multipleregression and classification variables in Alzheimer's disease. Neuroimage,2012,59(2): 895-907. 

Conference Publications

Li Y, Gao S, Chen S. Ensemble FeatureWeighting Based on Local Learning and Diversity.AAAI 2012. 

Song  F, Tan X, & Chen S. Exploiting relationship between attributes for improved face verification.  Computer Vision and ImageUnderstanding, 2012, 122, 143-154. 

Xue H, Chen S, & Huang J.Discriminative indefinite kernel classifier from pairwise constraints and unlabeled data. In International Conference on Pattern Recognition (ICPR) 2012(pp. 497-500).

Liu X, Tan X, & Chen S. Eyes closeness detection using appearance based methods. In Intelligent Information Processing VI 2012, (pp.398-408). Springer Berlin Heidelberg. 

Liu  M, Chen  S, & Zhang D. Learning attribute relation in attribute-based zero-shot classification. In Intelligent Scienceand Intelligent Data Engineering 2012, (pp. 514-521). Springer BerlinHeidelberg. 

 Zhang D, Liu J, Shen D.  Temporally-Constrained Group Sparse Learning forLongitudinal Data Analysis. MICCAI 2012, Nice, France, Oct. 1-5, 2012. 

 Cheng B, Zhang D, Shen D.  Domain Transfer Learning for MCI Conversion Prediction. MICCAI 2012, Nice, France, Oct. 1-5, 2012. 

 Jie B, Zhang D, Wee C, Shen D. Structural Feature Selection for ConnectivityNetwork-Based MCI Diagnosis. MBIA 2012, Nice, France, Oct. 1, 2012. 

 Liu M, Sun D, Zhang D.  Sparsity Score: A New Filter Feature Selection MethodBased on L1 Graph. ICPR 2012, Tsukuba, Japan, Nov. 11-15, 2012. 

 Miao L, Liu M, Zhang D.  Cost-Sensitive Feature Selection with Application inSoftware Defect Prediction. ICPR 2012, Tsukuba, Japan, Nov. 11-15, 2012. 

 Guo Q, Zhang D. Semi-Supervised Sparse Label Fusion for Multi-atlas BasedSegmentation. CCPR 2012, Beijing, China, September 24-26, 2012. 

 Zhu L, Miao L, Zhang D.  Iterative Laplacian score for feature selection. CCPR 2012, Beijing, China, Sep. 24-26, 2012. 

 Zu C, Zhang D. Sparsity preserving canonical correlation analysis. CCPR 2012, Beijing, China, Sep. 24-26, 2012.