Journal Publications

Tian Q, Chen S. A novel ordinal learning strategy: Ordinal nearest-centroid projection.Knowledge-Based Systems, 2015, 88:144-153. 

Tian Q, Chen S. Cumulative attribute relation regularization learning for human age estimation.Neurocomputing, 2015. 

Huang F, Chen S. Joint Learning of Multiple Sparse Matrix Gaussian Graphical Models.IEEE transactions on neural networks and learning systems, 2015, 26(11): 2606-2620. 

Wang, Y., Chen, S., Xue, H., & Fu, Z. Semi-supervised classification learning by discrimination-aware manifold regularization.Neurocomputing, 147, 299-306. 

Tian Q, Xue H, Qiao L. Human Age Estimation by Considering both the Ordinality and Similarity of Ages.Neural Processing Letters, 2015: 1-17. 

Shi Y, Gao Y, Liao S, Zhang D, Gao Y, Shen D. Semi-Automatic Segmentation of Prostate in CT Images via Coupled Feature Representation and Spatial-Constrained Transductive Lasso.IEEE Transactions on Pattern Analysis and Machine Intelligence,2015. 

Cheng B, Liu M, Zhang D. Domain Transfer Leraning for MCI Coversion Prediction.IEEE Transaction on Biomedical Engineering,2015,62(7), 1805–1817. 

Liu M, Zhang D, Shen D. View-centralized multi-atlas classification for Alzheimer's disease diagnosis.Human brain mapping, 2015, 36(5): 1847-1865. 

Liu M, Zhang D, Adeli M, Shen D. Inherent Structure Based Multi-view Learning with Multi-template Feature Representation for Alzheimer’s Disease Diagnosis.IEEE Transactions on Biomedical Engineering ,2015. 

Jie B, Zhang D,Cheng B, Shen D. Manifold regularized multitask feature learning for multimodality disease classification.Human brain mapping, 2015, 36(2): 489-507. 

Cheng B, Liu M, Suk H, Shen D, Zhang D. Multimodal manifold-regularized transfer learning for MCI conversion prediction.Brain Imaging and Behavior, 2015,913–926. 

Ye T, Zu C, Jie B, Shen D, Zhang D. Discriminative multi-task feature selection for multi-modality classification of Alzheimer’s disease.Brain imaging and behavior, 2015: 1-11. 

Zu C, Jie B, Liu M, Chen S, Shen D, Zhang D. Label-aligned multi-task feature learning for multimodal classification of Alzheimer’s disease and mild cognitive impairment.Brain imaging and behavior, 2015: 1-12. 

Liu D, Tan X. Max-margin Non-negative Matrix Factorization with Flexible Spatial Constraints Based on Factor Analysis.Frontiers of Computer Science, (2015) 1-15. 

Conference Publications

 Huang S, Chen S, Zhou Z.  Multi-label active learning: query type matters.  The 24th International Joint Conference on Artificial Intelligence (IJCAI'15), 2015. 

 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. 

 Lu J, Hu J, Liong V, etal.  The FG 2015 Kinship Verification in the WildEvaluation. Proceedings of the 10th International Conference on Automatic Faceand Gesture Recognition (FG'15), 2015.