Daoqiang Zhang - Publications

Affiliations: 
University of North Carolina, Chapel Hill, Chapel Hill, NC 
Area:
Medical Imaging

90 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2020 Yousefnezhad M, Sawalha J, Selvitella A, Zhang D. Deep Representational Similarity Learning for Analyzing Neural Signatures in Task-based fMRI Dataset. Neuroinformatics. PMID 33057876 DOI: 10.1007/s12021-020-09494-4  0.755
2020 Chen F, Cui X, Zhao Z, Zhang D, Ma C, Zhang X, Liao H. Gait acquisition and analysis system for osteoarthritis based on hybrid prediction model. Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society. 85: 101782. PMID 32919311 DOI: 10.1016/J.Compmedimag.2020.101782  0.336
2020 Sun L, Mo Z, Yan F, Xia L, Shan F, Ding Z, Song B, Gao W, Shao W, Shi F, Yuan H, Jiang H, Wu D, Wei Y, Gao Y, ... ... Zhang D, et al. Adaptive Feature Selection Guided Deep Forest for COVID-19 Classification with Chest CT. Ieee Journal of Biomedical and Health Informatics. PMID 32845849 DOI: 10.1109/Jbhi.2020.3019505  0.373
2020 Shao W, Wang T, Sun L, Dong T, Han Z, Huang Z, Zhang J, Zhang D, Huang K. Multi-task multi-modal learning for joint diagnosis and prognosis of human cancers. Medical Image Analysis. 65: 101795. PMID 32745975 DOI: 10.1016/J.Media.2020.101795  0.348
2020 Huang J, Wang M, Xu X, Jie B, Zhang D. A novel node-level structure embedding and alignment representation of structural networks for brain disease analysis. Medical Image Analysis. 65: 101755. PMID 32592983 DOI: 10.1016/J.Media.2020.101755  0.36
2020 Huang J, Zhou L, Wang L, Zhang D. Attention-Diffusion-Bilinear Neural Network for Brain Network Analysis. Ieee Transactions On Medical Imaging. PMID 32070948 DOI: 10.1109/Tmi.2020.2973650  0.337
2020 Yousefnezhad M, Selvitella A, Han L, Zhang D. Supervised Hyperalignment for multi-subject fMRI data alignment Ieee Transactions On Cognitive and Developmental Systems. 1-1. DOI: 10.1109/Tcds.2020.2965981  0.769
2020 Zhu Q, Zhang R, Huang S, Zhang Z, Zhang D. LGSLRR: Towards fusing discriminative ordinal local and global structured low-rank representation for image recognition Information Sciences. 539: 522-535. DOI: 10.1016/J.Ins.2020.05.117  0.356
2019 Shao W, Peng Y, Zu C, Wang M, Zhang D. Hypergraph based multi-task feature selection for multimodal classification of Alzheimer's disease. Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society. 80: 101663. PMID 31923610 DOI: 10.1016/J.Compmedimag.2019.101663  0.428
2019 Huang J, Zhu Q, Wang M, Zhou L, Zhang Z, Zhang D. Coherent Pattern in Multi-layer Brain Networks: Application to Epilepsy Identification. Ieee Journal of Biomedical and Health Informatics. PMID 31899443 DOI: 10.1109/Jbhi.2019.2962519  0.386
2019 Sun L, Shao W, Zhang D, Liu M. Anatomical Attention Guided Deep Networks for ROI Segmentation of Brain MR Images. Ieee Transactions On Medical Imaging. PMID 31899417 DOI: 10.1109/Tmi.2019.2962792  0.371
2019 Hao X, Bao Y, Guo Y, Yu M, Zhang D, Risacher SL, Saykin AJ, Yao X, Shen L. Multi-modal neuroimaging feature selection with consistent metric constraint for diagnosis of Alzheimer's disease. Medical Image Analysis. 60: 101625. PMID 31841947 DOI: 10.1016/J.Media.2019.101625  0.41
2019 Wang M, Lian C, Yao D, Zhang D, Liu M, Shen D. Spatial-Temporal Dependency Modeling and Network Hub Detection for Functional MRI Analysis via Convolutional-Recurrent Network. Ieee Transactions On Bio-Medical Engineering. PMID 31825859 DOI: 10.1109/Tbme.2019.2957921  0.359
2019 Sun L, Shao W, Wang M, Zhang D, Liu M. High-order Feature Learning for Multi-atlas based Label Fusion: Application to Brain Segmentation with MRI. Ieee Transactions On Image Processing : a Publication of the Ieee Signal Processing Society. PMID 31725379 DOI: 10.1109/Tip.2019.2952079  0.405
2019 Wang M, Shao W, Hao X, Shen L, Zhang D. Identify Consistent Cross-Modality Imaging Genetic Patterns via Discriminant Sparse Canonical Correlation Analysis. Ieee/Acm Transactions On Computational Biology and Bioinformatics. PMID 31581090 DOI: 10.1109/Tcbb.2019.2944825  0.393
2019 Zhu Q, Li H, Huang J, Xu X, Guan D, Zhang D. Hybrid Functional Brain Network With First-Order and Second-Order Information for Computer-Aided Diagnosis of Schizophrenia. Frontiers in Neuroscience. 13: 603. PMID 31316330 DOI: 10.3389/Fnins.2019.00603  0.329
2019 Sun L, Zhang D, Lian C, Wang L, Wu Z, Shao W, Lin W, Shen D, Li G. Topological correction of infant white matter surfaces using anatomically constrained convolutional neural network. Neuroimage. PMID 31112785 DOI: 10.1016/J.Neuroimage.2019.05.037  0.316
2019 Wang M, Hao X, Huang J, Wang K, Shen L, Xu X, Zhang D, Liu M. Hierarchical Structured Sparse Learning for Schizophrenia Identification. Neuroinformatics. PMID 31016571 DOI: 10.1007/S12021-019-09423-0  0.389
2019 Wang M, Zhang D, Shen D, Liu M. Multi-task exclusive relationship learning for alzheimer's disease progression prediction with longitudinal data. Medical Image Analysis. 53: 111-122. PMID 30763830 DOI: 10.1016/J.Media.2019.01.007  0.412
2019 Shao W, Huang SJ, Liu M, Zhang D. Querying Representative and Informative Super-pixels for Filament Segmentation in Bioimages. Ieee/Acm Transactions On Computational Biology and Bioinformatics. PMID 30640624 DOI: 10.1109/Tcbb.2019.2892741  0.409
2019 Zhu Q, Yuan N, Huang J, Hao X, Zhang D. Multi-modal AD classification via self-paced latent correlation analysis Neurocomputing. 355: 143-154. DOI: 10.1016/J.Neucom.2019.04.066  0.404
2019 Zhu Q, Xu N, Huang S, Qian J, Zhang D. Adaptive feature weighting for robust Lp-norm sparse representation with application to biometric image classification International Journal of Machine Learning and Cybernetics. 11: 463-474. DOI: 10.1007/S13042-019-00986-7  0.379
2018 Wang M, Hao X, Huang J, Shao W, Zhang D. Discovering network phenotype between genetic risk factors and disease status via diagnosis-aligned multi-modality regression method in Alzheimer's Disease. Bioinformatics (Oxford, England). PMID 30395195 DOI: 10.1093/Bioinformatics/Bty911  0.317
2018 Yousefnezhad M, Zhang D. Multi-Objective Cognitive Model: a Supervised Approach for Multi-subject fMRI Analysis. Neuroinformatics. PMID 30094688 DOI: 10.1007/S12021-018-9394-9  0.762
2018 Huang J, Zhu Q, Hao X, Shi X, Gao S, Xu X, Zhang D. Identifying Resting-state Multi-Frequency Biomarkers via Tree-Guided Group Sparse Learning for Schizophrenia Classification. Ieee Journal of Biomedical and Health Informatics. PMID 29994431 DOI: 10.1109/Jbhi.2018.2796588  0.33
2018 Hao X, Yao X, Risacher S, Saykin A, Yu J, Wang H, Tan L, Shen L, Zhang D. Identifying Candidate Genetic Associations with MRI-derived AD-related ROI via Tree-guided Sparse Learning. Ieee/Acm Transactions On Computational Biology and Bioinformatics. PMID 29993890 DOI: 10.1109/Tcbb.2018.2833487  0.367
2018 Zu C, Gao Y, Munsell B, Kim M, Peng Z, Cohen JR, Zhang D, Wu G. Identifying disease-related subnetwork connectome biomarkers by sparse hypergraph learning. Brain Imaging and Behavior. PMID 29948906 DOI: 10.1007/S11682-018-9899-8  0.385
2018 Cheng B, Liu M, Zhang D, Shen D. Robust multi-label transfer feature learning for early diagnosis of Alzheimer's disease. Brain Imaging and Behavior. PMID 29589326 DOI: 10.1007/S11682-018-9846-8  0.372
2018 Jie B, Liu M, Zhang D, Shen D. Sub-Network Kernels for Measuring Similarity of Brain Connectivity Networks in Disease Diagnosis. Ieee Transactions On Image Processing : a Publication of the Ieee Signal Processing Society. 27: 2340-2353. PMID 29470170 DOI: 10.1109/Tip.2018.2799706  0.344
2017 Hao X, Li C, Yan J, Yao X, Risacher SL, Saykin AJ, Shen L, Zhang D. Identification of associations between genotypes and longitudinal phenotypes via temporally-constrained group sparse canonical correlation analysis. Bioinformatics (Oxford, England). 33: i341-i349. PMID 28881979 DOI: 10.1093/Bioinformatics/Btx245  0.319
2017 Hao X, Li C, Du L, Yao X, Yan J, Risacher SL, Saykin AJ, Shen L, Zhang D. Mining Outcome-relevant Brain Imaging Genetic Associations via Three-way Sparse Canonical Correlation Analysis in Alzheimer's Disease. Scientific Reports. 7: 44272. PMID 28291242 DOI: 10.1038/Srep44272  0.35
2017 Shao W, Liu M, Xu YY, Shen HB, Zhang D. An Organelle Correlation-Guided Feature Selection Approach for Classifying Multi-Label Subcellular Bio-images. Ieee/Acm Transactions On Computational Biology and Bioinformatics. PMID 28278481 DOI: 10.1109/Tcbb.2017.2677907  0.397
2017 Yousefnezhad M, Huang SJ, Zhang D. WoCE: A framework for Clustering Ensemble by Exploiting the Wisdom of Crowds Theory. Ieee Transactions On Cybernetics. PMID 28060718 DOI: 10.1109/Tcyb.2016.2642999  0.753
2017 Zu C, Wang Z, Zhang D, Liang P, Shi Y, Shen D, Wu G. Robust multi-atlas label propagation by deep sparse representation. Pattern Recognition. 63: 511-517. PMID 27942077 DOI: 10.1016/J.Patcog.2016.09.028  0.321
2017 Yousefnezhad M, Zhang D. Anatomical Pattern Analysis for Decoding Visual Stimuli in Human Brains Cognitive Computation. 10: 284-295. DOI: 10.1007/S12559-017-9518-9  0.758
2017 Shao W, Ding Y, Shen H, Zhang D. Deep model-based feature extraction for predicting protein subcellular localizations from bio-images Frontiers of Computer Science. 11: 243-252. DOI: 10.1007/S11704-017-6538-2  0.346
2016 Cheng B, Liu M, Shen D, Li Z, Zhang D. Multi-Domain Transfer Learning for Early Diagnosis of Alzheimer's Disease. Neuroinformatics. PMID 27928657 DOI: 10.1007/S12021-016-9318-5  0.354
2016 Hao X, Yao X, Yan J, Risacher SL, Saykin AJ, Zhang D, Shen L. Identifying Multimodal Intermediate Phenotypes Between Genetic Risk Factors and Disease Status in Alzheimer's Disease. Neuroinformatics. PMID 27277494 DOI: 10.1007/S12021-016-9307-8  0.344
2016 Jie B, Liu M, Liu J, Zhang D, Shen D. Temporally-Constrained Group Sparse Learning for Longitudinal Data Analysis in Alzheimer's Disease. Ieee Transactions On Bio-Medical Engineering. PMID 27093313 DOI: 10.1109/Tbme.2016.2553663  0.409
2016 Jie B, Wee CY, Shen D, Zhang D. Hyper-connectivity of functional networks for brain disease diagnosis. Medical Image Analysis. 32: 84-100. PMID 27060621 DOI: 10.1016/J.Media.2016.03.003  0.374
2016 Shi Y, Gao Y, Liao S, Zhang D, Gao Y, Shen D. A Learning-Based CT Prostate Segmentation Method via Joint Transductive Feature Selection and Regression. Neurocomputing. 173: 317-331. PMID 26752809 DOI: 10.1016/J.Neucom.2014.11.098  0.319
2016 Liu M, Zhang D, Shen D. Relationship Induced Multi-template Learning for Diagnosis of Alzheimer's Disease and Mild Cognitive Impairment. Ieee Transactions On Medical Imaging. PMID 26742127 DOI: 10.1109/Tmi.2016.2515021  0.455
2016 Liu M, Zhang D, Chen S, Xue H. Joint binary classifier learning for ECOC-based multi-class classification Ieee Transactions On Pattern Analysis and Machine Intelligence. 38: 2335-2341. DOI: 10.1109/Tpami.2015.2430325  0.414
2016 Yousefnezhad M, Zhang D. Weighted spectral cluster ensemble Proceedings - Ieee International Conference On Data Mining, Icdm. 2016: 549-558. DOI: 10.1109/ICDM.2015.145  0.744
2016 Yousefnezhad M, Reihanian A, Zhang D, Minaei-Bidgoli B. A new selection strategy for selective cluster ensemble based on Diversity and Independency Engineering Applications of Artificial Intelligence. 56: 260-272. DOI: 10.1016/J.Engappai.2016.10.005  0.753
2016 Zu C, Jie B, Chen S, Zhang D. Label-alignment-based multi-task feature selection for multimodal classification of brain disease Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 9444: 51-59. DOI: 10.1007/978-3-319-45174-9_6  0.33
2015 Liu M, Zhang D, Shen D. Inherent Structure-Guided Multi-view Learning for Alzheimer's Disease and Mild Cognitive Impairment Classification. Machine Learning in Medical Imaging. Mlmi (Workshop), Author. 9352: 296-303. PMID 27088137 DOI: 10.1007/978-3-319-24888-2_36  0.367
2015 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. PMID 26572145 DOI: 10.1007/S11682-015-9480-7  0.457
2015 Liu M, Zhang D, Adeli-Mosabbeb E, Shen D. Inherent Structure Based Multi-view Learning with Multi-template Feature Representation for Alzheimer's Disease Diagnosis. Ieee Transactions On Bio-Medical Engineering. PMID 26540666 DOI: 10.1109/Tbme.2015.2496233  0.484
2015 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. 37: 2286-2303. PMID 26440268 DOI: 10.1109/Tpami.2015.2424869  0.326
2015 Zhan Y, Chen K, Wu X, Zhang D, Zhang J, Yao L, Guo X. Identification of Conversion from Normal Elderly Cognition to Alzheimer's Disease using Multimodal Support Vector Machine. Journal of Alzheimer's Disease : Jad. 47: 1057-67. PMID 26401783 DOI: 10.3233/Jad-142820  0.343
2015 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. PMID 26311394 DOI: 10.1007/S11682-015-9437-X  0.434
2015 Cheng B, Liu M, Zhang D, Munsell BC, Shen D. Domain Transfer Learning for MCI Conversion Prediction. Ieee Transactions On Bio-Medical Engineering. 62: 1805-17. PMID 25751861 DOI: 10.1109/Tbme.2015.2404809  0.349
2015 Cheng B, Liu M, Suk HI, Shen D, Zhang D. Multimodal manifold-regularized transfer learning for MCI conversion prediction. Brain Imaging and Behavior. PMID 25702248 DOI: 10.1007/S11682-015-9356-X  0.365
2015 Liu M, Zhang D, Shen D. View-centralized multi-atlas classification for Alzheimer's disease diagnosis. Human Brain Mapping. 36: 1847-65. PMID 25624081 DOI: 10.1002/Hbm.22741  0.443
2015 Jie B, Zhang D, Cheng B, Shen D. Manifold regularized multitask feature learning for multimodality disease classification. Human Brain Mapping. 36: 489-507. PMID 25277605 DOI: 10.1002/Hbm.22642  0.444
2015 Ye T, Zu C, Jie B, Shen D, Zhang D. Discriminative Multi-task Feature Selection for Multi-modality Based AD/MCI Classification Proceedings - 2015 International Workshop On Pattern Recognition in Neuroimaging, Prni 2015. 45-48. DOI: 10.1109/PRNI.2015.15  0.328
2015 Zu C, Zhang D. Canonical sparse cross-view correlation analysis Neurocomputing. DOI: 10.1016/J.Neucom.2016.01.053  0.382
2015 Zhu Q, Zhang D, Sun H, Li Z. Combining L1-norm and L2-norm based sparse representations for face recognition Optik. 126: 719-724. DOI: 10.1016/J.Ijleo.2015.02.020  0.336
2014 Liu M, Zhang D, Shen D. Identifying informative imaging biomarkers via tree structured sparse learning for AD diagnosis. Neuroinformatics. 12: 381-94. PMID 24338729 DOI: 10.1007/S12021-013-9218-X  0.444
2014 Wu G, Wang Q, Zhang D, Nie F, Huang H, Shen D. A generative probability model of joint label fusion for multi-atlas based brain segmentation. Medical Image Analysis. 18: 881-90. PMID 24315359 DOI: 10.1016/J.Media.2013.10.013  0.327
2014 Jie B, Zhang D, Gao W, Wang Q, Wee CY, Shen D. Integration of network topological and connectivity properties for neuroimaging classification. Ieee Transactions On Bio-Medical Engineering. 61: 576-89. PMID 24108708 DOI: 10.1109/Tbme.2013.2284195  0.391
2014 Jie B, Zhang D, Wee CY, Shen D. Topological graph kernel on multiple thresholded functional connectivity networks for mild cognitive impairment classification. Human Brain Mapping. 35: 2876-97. PMID 24038749 DOI: 10.1002/Hbm.22353  0.374
2014 Wee CY, Yap PT, Zhang D, Wang L, Shen D. Group-constrained sparse fMRI connectivity modeling for mild cognitive impairment identification. Brain Structure & Function. 219: 641-56. PMID 23468090 DOI: 10.1007/S00429-013-0524-8  0.399
2014 Liu M, Zhang D, Shen D. Hierarchical fusion of features and classifier decisions for Alzheimer's disease diagnosis. Human Brain Mapping. 35: 1305-19. PMID 23417832 DOI: 10.1002/Hbm.22254  0.429
2014 Liu M, Zhang D, Chen S. Attribute relation learning for zero-shot classification Neurocomputing. 139: 34-46. DOI: 10.1016/J.Neucom.2013.09.056  0.378
2013 Jie B, Zhang D, Cheng B, Shen D. Manifold regularized multi-task feature selection for multi-modality classification in Alzheimer's disease. Medical Image Computing and Computer-Assisted Intervention : Miccai ... International Conference On Medical Image Computing and Computer-Assisted Intervention. 16: 275-83. PMID 24505676 DOI: 10.1007/978-3-642-40811-3_35  0.323
2013 Cheng B, Zhang D, Chen S, Kaufer DI, Shen D. Semi-supervised multimodal relevance vector regression improves cognitive performance estimation from imaging and biological biomarkers. Neuroinformatics. 11: 339-53. PMID 23504659 DOI: 10.1007/S12021-013-9180-7  0.348
2013 Gao S, Zu C, Zhang D. Learning mid-perpendicular hyperplane similarity from cannot-link constraints Neurocomputing. 113: 195-203. DOI: 10.1016/J.Neucom.2013.01.002  0.415
2012 Zhang D, Shen D. Predicting future clinical changes of MCI patients using longitudinal and multimodal biomarkers. Plos One. 7: e33182. PMID 22457741 DOI: 10.1371/Journal.Pone.0033182  0.371
2012 Liu M, Zhang D, Shen D. Ensemble sparse classification of Alzheimer's disease. Neuroimage. 60: 1106-16. PMID 22270352 DOI: 10.1016/J.Neuroimage.2012.01.055  0.45
2012 Wee CY, Yap PT, Zhang D, Denny K, Browndyke JN, Potter GG, Welsh-Bohmer KA, Wang L, Shen D. Identification of MCI individuals using structural and functional connectivity networks. Neuroimage. 59: 2045-56. PMID 22019883 DOI: 10.1016/J.Neuroimage.2011.10.015  0.43
2012 Zhang D, Shen D. Multi-modal multi-task learning for joint prediction of multiple regression and classification variables in Alzheimer's disease. Neuroimage. 59: 895-907. PMID 21992749 DOI: 10.1016/J.Neuroimage.2011.09.069  0.402
2012 Zhang D, Shen D. Erratum to multi-modal multi-task learning for joint prediction of multiple regression and classification variables in Alzheimer's disease [Neuroimage 59/2 (2012) 895–907] Neuroimage. 62: 2179. DOI: 10.1016/J.Neuroimage.2012.03.006  0.333
2011 Zhang D, Wang Y, Zhou L, Yuan H, Shen D. Multimodal classification of Alzheimer's disease and mild cognitive impairment. Neuroimage. 55: 856-67. PMID 21236349 DOI: 10.1016/J.Neuroimage.2011.01.008  0.377
2010 Hu E, Chen S, Zhang D, Yin X. Semisupervised kernel matrix learning by kernel propagation. Ieee Transactions On Neural Networks / a Publication of the Ieee Neural Networks Council. 21: 1831-41. PMID 20923733 DOI: 10.1109/Tnn.2010.2076301  0.323
2010 Cai W, Chen S, Zhang D. A multiobjective simultaneous learning framework for clustering and classification. Ieee Transactions On Neural Networks / a Publication of the Ieee Neural Networks Council. 21: 185-200. PMID 20028622 DOI: 10.1109/Tnn.2009.2034741  0.414
2010 Yin X, Chen S, Hu E, Zhang D. Semi-supervised clustering with metric learning: An adaptive kernel method Pattern Recognition. 43: 1320-1333. DOI: 10.1016/J.Patcog.2009.11.005  0.417
2009 Wang F, Wang X, Zhang D, Zhang C, Li T. marginFace: A novel face recognition method by average neighborhood margin maximization Pattern Recognition. 42: 2863-2875. DOI: 10.1016/J.Patcog.2009.04.015  0.35
2009 Cai W, Chen S, Zhang D. A simultaneous learning framework for clustering and classification Pattern Recognition. 42: 1248-1259. DOI: 10.1016/J.Patcog.2008.11.029  0.412
2009 Peng Y, Zhang D, Zhang J. A New Canonical Correlation Analysis Algorithm with Local Discrimination Neural Processing Letters. 31: 1-15. DOI: 10.1007/S11063-009-9123-3  0.364
2008 Wang Z, Chen S, Liu J, Zhang D. Pattern representation in feature extraction and classifier design: matrix versus vector. Ieee Transactions On Neural Networks / a Publication of the Ieee Neural Networks Council. 19: 758-69. PMID 18467206 DOI: 10.1109/Tnn.2007.911744  0.319
2008 Zhang D, Chen S, Zhou Z. Constraint Score: A new filter method for feature selection with pairwise constraints Pattern Recognition. 41: 1440-1451. DOI: 10.1016/J.Patcog.2007.10.009  0.382
2007 LIU J, CHEN S, TAN X, ZHANG D. EFFICIENT PSEUDOINVERSE LINEAR DISCRIMINANT ANALYSIS AND ITS NONLINEAR FORM FOR FACE RECOGNITION International Journal of Pattern Recognition and Artificial Intelligence. 21: 1265-1278. DOI: 10.1142/S0218001407005946  0.391
2007 Cai W, Chen S, Zhang D. Robust fuzzy relational classifier incorporating the soft class labels Pattern Recognition Letters. 28: 2250-2263. DOI: 10.1016/J.Patrec.2007.07.013  0.394
2006 Zhang D, Chen S, Zhou Z. Learning the kernel parameters in kernel minimum distance classifier Pattern Recognition. 39: 133-135. DOI: 10.1016/J.Patcog.2005.08.001  0.35
2005 Chen S, Zhu Y, Zhang D, Yang J. Feature extraction approaches based on matrix pattern: MatPCA and MatFLDA Pattern Recognition Letters. 26: 1157-1167. DOI: 10.1016/J.Patrec.2004.10.009  0.371
2005 Zhang D, Chen S, Zhou Z. A new face recognition method based on SVD perturbation for single example image per person Applied Mathematics and Computation. 163: 895-907. DOI: 10.1016/J.Amc.2004.04.016  0.334
2005 Zhang D, Zhang D, Chen S, Tan K, Tan K. Improving the Robustness of ?Online Agglomerative Clustering Method? Based on Kernel-Induce Distance Measures Neural Processing Letters. 21: 45-51. DOI: 10.1007/S11063-004-2793-Y  0.396
2004 Chen S, Zhang D, Zhou Z. Enhanced (PC)2A for face recognition with one training image per person Pattern Recognition Letters. 25: 1173-1181. DOI: 10.1016/J.Patrec.2004.03.012  0.311
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