Changshui Zhang

Chenping Hou, Feiping Nie, Yuanyuan Jiao, Changshui Zhang, Yi Wu: Learning a subspace for clustering via pattern shrinking. Inf. Process. Manage. 49(4): 871-883 (2013)

Zhen Hu, Kun Fu, Changshui Zhang: Audio Artist Identification by Deep Neural Network. CoRR abs/1301.3195 (2013)

Pinghua Gong, Changshui Zhang, Zhaosong Lu, Jianhua Huang, Jieping Ye: A General Iterative Shrinkage and Thresholding Algorithm for Non-convex Regularized Optimization Problems. CoRR abs/1303.4434 (2013)

Liqing Zhang, James Tin-Yau Kwok, Changshui Zhang: A brief introduction to the special issue for ISNN2010. Neurocomputing 76(1): 1 (2012)

Shizhun Yang, Ming Lin, Chenping Hou, Changshui Zhang, Yi Wu: A general framework for transfer sparse subspace learning. Neural Computing and Applications 21(7): 1801-1817 (2012)

Kun Gai, Zhenwei Shi, Changshui Zhang: Blind Separation of Superimposed Moving Images Using Image Statistics. IEEE Trans. Pattern Anal. Mach. Intell. 34(1): 19-32 (2012)

Shiming Xiang, Gaofeng Meng, Ying Wang, Chunhong Pan, Changshui Zhang: Image deblurring with matrix regression and gradient evolution. Pattern Recognition 45(6): 2164-2179 (2012)

Pinghua Gong, Changshui Zhang: Efficient Nonnegative Matrix Factorization via projected Newton method. Pattern Recognition 45(9): 3557-3565 (2012)

Feiping Nie, Shiming Xiang, Yun Liu, Chenping Hou, Changshui Zhang: Orthogonal vs. uncorrelated least squares discriminant analysis for feature extraction. Pattern Recognition Letters 33(5): 485-491 (2012)

Shiming Xiang, Feiping Nie, Gaofeng Meng, Chunhong Pan, Changshui Zhang: Discriminative Least Squares Regression for Multiclass Classification and Feature Selection. IEEE Trans. Neural Netw. Learning Syst. 23(11): 1738-1754 (2012)

Pinghua Gong, Changshui Zhang: Efficient Multi-Stage Conjugate Gradient for Trust Region Step. AAAI 2012

Xiaoqiang Zhu, Pinghua Gong, Zengshun Zhao, Changshui Zhang: Learning similarity metric with SVM. IJCNN 2012: 1-8

Pinghua Gong, Jieping Ye, Changshui Zhang: Robust multi-task feature learning. KDD 2012: 895-903

Pinghua Gong, Jieping Ye, Changshui Zhang: Multi-Stage Multi-Task Feature Learning. NIPS 2012: 1997-2005

Yanning Zhang, Zhi-Hua Zhou, Changshui Zhang, Ying Li (Eds.): Intelligent Science and Intelligent Data Engineering - Second Sino-foreign-interchange Workshop, IScIDE 2011, Xi'an, China, October 23-25, 2011, Revised Selected Papers. Lecture Notes in Computer Science 7202, Springer 2012, isbn 978-3-642-31918-1

Han Li, Kun Gai, Pinghua Gong, Changshui Zhang: Efficient Superimposition Recovering Algorithm. CoRR abs/1211.4307 (2012)

Jianwen Zhang, Changshui Zhang: Multitask Bregman clustering. Neurocomputing 74(10): 1720-1734 (2011)

Pinghua Gong, Kun Gai, Changshui Zhang: Efficient Euclidean projections via Piecewise Root Finding and its application in gradient projection. Neurocomputing 74(17): 2754-2766 (2011)

Shouchun Chen, Fei Wang, Yangqiu Song, Changshui Zhang: Semi-supervised ranking aggregation. Inf. Process. Manage. 47(3): 415-425 (2011)

Zheng Wang, Shuicheng Yan, Changshui Zhang: Active learning with adaptive regularization. Pattern Recognition 44(10-11): 2375-2383 (2011)

Shiming Xiang, Chunhong Pan, Feiping Nie, Changshui Zhang: Interactive Image Segmentation With Multiple Linear Reconstructions in Windows. IEEE Transactions on Multimedia 13(2): 342-352 (2011)

Chenping Hou, Feiping Nie, Fei Wang, Changshui Zhang, Yi Wu: Semisupervised Learning Using Negative Labels. IEEE Transactions on Neural Networks 22(3): 420-432 (2011)

Fei Wang, Bin Zhao, Changshui Zhang: Unsupervised Large Margin Discriminative Projection. IEEE Transactions on Neural Networks 22(9): 1446-1456 (2011)

Feiping Nie, Zinan Zeng, Ivor W. Tsang, Dong Xu, Changshui Zhang: Spectral Embedded Clustering: A Framework for In-Sample and Out-of-Sample Spectral Clustering. IEEE Transactions on Neural Networks 22(11): 1796-1808 (2011)

Shiming Xiang, Feiping Nie, Chunhong Pan, Changshui Zhang: Regression Reformulations of LLE and LTSA With Locally Linear Transformation. IEEE Transactions on Systems, Man, and Cybernetics, Part B 41(5): 1250-1262 (2011)

Jian Cheng, Changshui Zhang, Yi-Nan Guo: Patterns classification of nonlinear multi-dimensional time series based on manifold learning. ICNC 2011: 373-377

Pinghua Gong, Changshui Zhang: A Fast Dual Projected Newton Method for l₁-Regularized Least Squares. IJCAI 2011: 1275-1280

Shaoze Lei, Jianwen Zhang, Shifeng Weng, Changshui Zhang: Topic model with constrainted word burstiness intensities. IJCNN 2011: 68-74

Tao Ban, Changshui Zhang, Shigeo Abe, Takeshi Takahashi, Youki Kadobayashi: Mining interlacing manifolds in high dimensional spaces. SAC 2011: 942-949

Changshui Zhang, Qutang Cai, Yangqiu Song: Boosting with pairwise constraints. Neurocomputing 73(4-6): 908-919 (2010)

Changshui Zhang, Feiping Nie, Shiming Xiang: A general kernelization framework for learning algorithms based on kernel PCA. Neurocomputing 73(4-6): 959-967 (2010)

Shijun Wang, Changshui Zhang: Collaborative Learning by Boosting in Distributed Environments. IJPRAI 24(5): 763-789 (2010)

Feiping Nie, Shiming Xiang, Yun Liu, Changshui Zhang: A general graph-based semi-supervised learning with novel class discovery. Neural Computing and Applications 19(4): 549-555 (2010)

Shiming Xiang, Feiping Nie, Changshui Zhang: Semi-Supervised Classification via Local Spline Regression. IEEE Trans. Pattern Anal. Mach. Intell. 32(11): 2039-2053 (2010)

Dan Zhang, Fei Wang, Zhenwei Shi, Changshui Zhang: Interactive localized content based image retrieval with multiple-instance active learning. Pattern Recognition 43(2): 478-484 (2010)

Chenping Hou, Changshui Zhang, Yi Wu, Feiping Nie: Multiple view semi-supervised dimensionality reduction. Pattern Recognition 43(3): 720-730 (2010)

Changshui Zhang, Fei Wang: A multilevel approach for learning from labeled and unlabeled data on graphs. Pattern Recognition 43(6): 2301-2314 (2010)

Zhiyao Duan, Bryan Pardo, Changshui Zhang: Multiple Fundamental Frequency Estimation by Modeling Spectral Peaks and Non-Peak Regions. IEEE Transactions on Audio, Speech & Language Processing 18(8): 2121-2133 (2010)

Feiping Nie, Dong Xu, Ivor Wai-Hung Tsang, Changshui Zhang: Flexible Manifold Embedding: A Framework for Semi-Supervised and Unsupervised Dimension Reduction. IEEE Transactions on Image Processing 19(7): 1921-1932 (2010)

Shiming Xiang, Chunhong Pan, Feiping Nie, Changshui Zhang: TurboPixel Segmentation Using Eigen-Images. IEEE Transactions on Image Processing 19(11): 3024-3034 (2010)

Fei Wang, Bin Zhao, Changshui Zhang: Linear time maximum margin clustering. IEEE Transactions on Neural Networks 21(2): 319-332 (2010)

Shuo Chen, Jianwen Zhang, Guangyun Chen, Changshui Zhang: What if the Irresponsible Teachers Are Dominating? AAAI 2010

Kun Gai, Changshui Zhang: Learning Discriminative Piecewise Linear Models with Boundary Points. AAAI 2010

Jianwen Zhang, Changshui Zhang: Multitask Bregman Clustering. AAAI 2010

Jiawei Lv, Jianwen Zhang, Fei Wang, Zheng Wang, Changshui Zhang: Compressed Learning with Regular Concept. ALT 2010: 163-178

Zheng Wang, Jiashi Feng, Changshui Zhang, Shuicheng Yan: Learning to rank tags. CIVR 2010: 42-49

Zheng Wang, Yangqiu Song, Changshui Zhang: Homotopy Regularization for Boosting. ICDM 2010: 1115-1120

Jianwen Zhang, Yangqiu Song, Changshui Zhang, Shixia Liu: Evolutionary hierarchical dirichlet processes for multiple correlated time-varying corpora. KDD 2010: 1079-1088

Kun Gai, Guangyun Chen, Changshui Zhang: Learning Kernels with Radiuses of Minimum Enclosing Balls. NIPS 2010: 649-657

Qutang Cai, Changshui Zhang, Chunyi Peng: Analysis of classification margin for classification accuracy with applications. Neurocomputing 72(7-9): 1960-1968 (2009)

Gang Chen, Fei Wang, Changshui Zhang: Collaborative filtering using orthogonal nonnegative matrix tri-factorization. Inf. Process. Manage. 45(3): 368-379 (2009)

Tao Ban, Changshui Zhang, Shigeo Abe: A new approach to discover interlacing data structures in high-dimensional space. J. Intell. Inf. Syst. 33(1): 3-22 (2009)

Shiming Xiang, Feiping Nie, Yangqiu Song, Changshui Zhang, Chunxia Zhang: Embedding new data points for manifold learning via coordinate propagation. Knowl. Inf. Syst. 19(2): 159-184 (2009)

Changshui Zhang, Feiping Nie, Shiming Xiang, Chenping Hou: Soft Constraint Harmonic Energy Minimization for Transductive Learning and its Two Interpretations. Neural Processing Letters 30(2): 89-102 (2009)

Yangqiu Song, Changshui Zhang, Jianguo Lee, Fei Wang, Shiming Xiang, Dan Zhang: Semi-supervised discriminative classification with application to tumorous tissues segmentation of MR brain images. Pattern Anal. Appl. 12(2): 99-115 (2009)

Jingdong Wang, Fei Wang, Changshui Zhang, Helen C. Shen, Long Quan: Linear Neighborhood Propagation and Its Applications. IEEE Trans. Pattern Anal. Mach. Intell. 31(9): 1600-1615 (2009)

Feiping Nie, Shiming Xiang, Yangqiu Song, Changshui Zhang: Extracting the optimal dimensionality for local tensor discriminant analysis. Pattern Recognition 42(1): 105-114 (2009)

Yangqing Jia, Changshui Zhang: Front-view vehicle detection by Markov chain Monte Carlo method. Pattern Recognition 42(3): 313-321 (2009)

Zhenwei Shi, Changshui Zhang: Fast nonlinear autocorrelation algorithm for source separation. Pattern Recognition 42(9): 1732-1741 (2009)

Chenping Hou, Changshui Zhang, Yi Wu, Yuanyuan Jiao: Stable local dimensionality reduction approaches. Pattern Recognition 42(9): 2054-2066 (2009)

Feiping Nie, Shiming Xiang, Yangqing Jia, Changshui Zhang: Semi-supervised orthogonal discriminant analysis via label propagation. Pattern Recognition 42(11): 2615-2627 (2009)

Fei Wang, Xin Wang, Daoqiang Zhang, Changshui Zhang, Tao Li: marginFace: A novel face recognition method by average neighborhood margin maximization. Pattern Recognition 42(11): 2863-2875 (2009)

Shiming Xiang, Feiping Nie, Chunxia Zhang, Changshui Zhang: Interactive Natural Image Segmentation via Spline Regression. IEEE Transactions on Image Processing 18(7): 1623-1632 (2009)

Shiming Xiang, Feiping Nie, Changshui Zhang, Chunxia Zhang: Nonlinear Dimensionality Reduction with Local Spline Embedding. IEEE Trans. Knowl. Data Eng. 21(9): 1285-1298 (2009)

Fei Wang, Changshui Zhang, Tao Li: Clustering with Local and Global Regularization. IEEE Trans. Knowl. Data Eng. 21(12): 1665-1678 (2009)

Yangqing Jia, Feiping Nie, Changshui Zhang: Trace Ratio Problem Revisited. IEEE Transactions on Neural Networks 20(4): 729-735 (2009)

Bin Zhao, Fei Wang, Changshui Zhang: Block-Quantized Support Vector Ordinal Regression. IEEE Transactions on Neural Networks 20(5): 882-890 (2009)

Shuo Chen, Bin Liu, Mingjie Qian, Changshui Zhang: Instance- and bag-level manifold regularization for aggregate outputs classification. CIKM 2009: 1593-1596

Mingjie Qian, Feiping Nie, Changshui Zhang: Efficient multi-class unlabeled constrained semi-supervised SVM. CIKM 2009: 1665-1668

Bin Zhao, James Tin-Yau Kwok, Fei Wang, Changshui Zhang: Unsupervised Maximum Margin Feature Selection with manifold regularization. CVPR 2009: 888-895

Gang Chen, Jianwen Zhang, Fei Wang, Changshui Zhang, Yuli Gao: Efficient multi-label classification with hypergraph regularization. CVPR 2009: 1658-1665

Kun Gai, Zhenwei Shi, Changshui Zhang: Blind separation of superimposed images with unknown motions. CVPR 2009: 1881-1888

Guangyun Chen, Gang Chen, Jianwen Zhang, Shuo Chen, Changshui Zhang: Beyond Banditron: A Conservative and Efficient Reduction for Online Multiclass Prediction with Bandit Setting Model. ICDM 2009: 71-80

Bin Zhao, Changshui Zhang: Compressed Spectral Clustering. ICDM Workshops 2009: 344-349

Shuo Chen, Bin Liu, Mingjie Qian, Changshui Zhang: Kernel K-means Based Framework for Aggregate Outputs Classification. ICDM Workshops 2009: 356-361

Mingjie Qian, Feiping Nie, Changshui Zhang: Probabilistic Labeled Semi-supervised SVM. ICDM Workshops 2009: 394-399

Bin Zhao, James Tin-Yau Kwok, Changshui Zhang: Maximum Margin Clustering with Multivariate Loss Function. ICDM 2009: 637-646

Bin Liu, Shuo Chen, Mingjie Qian, Changshui Zhang: Sparse Norm-Regularized Reconstructive Coefficients Learning. ICDM 2009: 854-859

Shuo Chen, Changshui Zhang: Selecting Informative Universum Sample for Semi-Supervised Learning. IJCAI 2009: 1016-1021

Yangqing Jia, Shuicheng Yan, Changshui Zhang: Semi-Supervised Classification on Evolutionary Data. IJCAI 2009: 1083-1088

Feiping Nie, Dong Xu, Ivor W. Tsang, Changshui Zhang: Spectral Embedded Clustering. IJCAI 2009: 1181-1186

Zheng Wang, Yangqiu Song, Changshui Zhang: Knowledge Transfer on Hybrid Graph. IJCAI 2009: 1291-1296

Jianwen Zhang, Yangqiu Song, Gang Chen, Changshui Zhang: On-line Evolutionary Exponential Family Mixture. IJCAI 2009: 1610-1615

Shijun Wang, Ronald M. Summers, Changshui Zhang: A fast mean-field method for large-scale high-dimensional data and its application in colonic polyp detection at CT colonography. IJCNN 2009: 3251-3258

Bin Zhao, James T. Kwok, Changshui Zhang: Multiple Kernel Clustering. SDM 2009: 638-649

Zhenwei Shi, Dan Zhang, Changshui Zhang: MACBSE: Extracting signals with linear autocorrelations. Neurocomputing 71(4-6): 1082-1091 (2008)

Shiliang Sun, Changshui Zhang, Yue Lu: The random electrode selection ensemble for EEG signal classification. Pattern Recognition 41(5): 1663-1675 (2008)

Yangqiu Song, Feiping Nie, Changshui Zhang, Shiming Xiang: A unified framework for semi-supervised dimensionality reduction. Pattern Recognition 41(9): 2789-2799 (2008)

Shiming Xiang, Feiping Nie, Changshui Zhang: Learning a Mahalanobis distance metric for data clustering and classification. Pattern Recognition 41(12): 3600-3612 (2008)

Shiming Xiang, Feiping Nie, Yangqiu Song, Changshui Zhang: Contour graph based human tracking and action sequence recognition. Pattern Recognition 41(12): 3653-3664 (2008)

Yangqiu Song, Feiping Nie, Changshui Zhang: Semi-supervised sub-manifold discriminant analysis. Pattern Recognition Letters 29(13): 1806-1813 (2008)

Zhiyao Duan, Yungang Zhang, Changshui Zhang, Zhenwei Shi: Unsupervised Single-Channel Music Source Separation by Average Harmonic Structure Modeling. IEEE Transactions on Audio, Speech & Language Processing 16(4): 766-778 (2008)

Fei Wang, Changshui Zhang: Label Propagation through Linear Neighborhoods. IEEE Trans. Knowl. Data Eng. 20(1): 55-67 (2008)

Yangqiu Song, Changshui Zhang: Content-Based Information Fusion for Semi-Supervised Music Genre Classification. IEEE Transactions on Multimedia 10(1): 145-152 (2008)

Fei Wang, Changshui Zhang: Semisupervised Learning Based on Generalized Point Charge Models. IEEE Transactions on Neural Networks 19(7): 1307-1311 (2008)

Yangqing Jia, Changshui Zhang: Instance-level Semisupervised Multiple Instance Learning. AAAI 2008: 640-645

Feiping Nie, Shiming Xiang, Yangqing Jia, Changshui Zhang, Shuicheng Yan: Trace Ratio Criterion for Feature Selection. AAAI 2008: 671-676

Fei Wang, Changshui Zhang: On Discriminative Semi-Supervised Classification. AAAI 2008: 720-725

Fei Wang, Tao Li, Gang Wang, Changshui Zhang: Semi-supervised Classification Using Local and Global Regularization. AAAI 2008: 726-731

Dan Zhang, Fei Wang, Changshui Zhang, Tao Li: Multi-View Local Learning. AAAI 2008: 752-757

Shouchun Chen, Fei Wang, Yangqiu Song, Changshui Zhang: Semi-supervised ranking aggregation. CIKM 2008: 1427-1428

Fei Wang, Shouchun Chen, Changshui Zhang, Tao Li: Semi-supervised metric learning by maximizing constraint margin. CIKM 2008: 1457-1458

Jingyu Cui, Qiong Yang, Fang Wen, Qiying Wu, Changshui Zhang, Luc J. Van Gool, Xiaoou Tang: Transductive object cutout. CVPR 2008

Kun Gai, Zhenwei Shi, Changshui Zhang: Blindly separating mixtures of multiple layers with spatial shifts. CVPR 2008

Jingdong Wang, Yangqing Jia, Xian-Sheng Hua, Changshui Zhang, Long Quan: Normalized tree partitioning for image segmentation. CVPR 2008

Jingyu Cui, Changshui Zhang: Towards optimal query design for relevance feedback in image retrieval. ICASSP 2008: 1225-1228

Bin Zhao, Fei Wang, Changshui Zhang, Yangqiu Song: Active model selection for Graph-Based Semi-Supervised Learning. ICASSP 2008: 1881-1884

Bin Zhao, Fei Wang, Changshui Zhang: Maximum Margin Embedding. ICDM 2008: 1127-1132

Yalin Zheng, Guang Yang, Changshui Zhang, Jing Zheng, Yunpeng Xu: Equivalence Knowledge Mass and Approximate Reasoning in -Logic (I). ICIC (2) 2008: 391-400

Dan Zhang, Fei Wang, Zhenwei Shi, Changshui Zhang: Localized content based image retrieval by multiple instance active learning. ICIP 2008: 921-924

Yangqing Jia, Jingdong Wang, Changshui Zhang, Xian-Sheng Hua: Augmented tree partitioning for interactive image segmentation. ICIP 2008: 2292-2295

Yangqing Jia, Changshui Zhang: Learning distance metric for semi-supervised image segmentation. ICIP 2008: 3204-3207

Zhiyao Duan, Lie Lu, Changshui Zhang: Audio tonality mode classification without tonic annotations. ICME 2008: 1361-1364

Bin Zhao, Fei Wang, Changshui Zhang: Efficient multiclass maximum margin clustering. ICML 2008: 1248-1255

Yangqing Jia, Changshui Zhang: Local Regularized Least-Square Dimensionality Reduction. ICPR 2008: 1-4

Shijun Wang, Changshui Zhang: Collaborative learning by boosting in distributed environments. ICPR 2008: 1-4

Zhiyao Duan, Lie Lu, Changshui Zhang: Collective Annotation of Music from Multiple Semantic Categories. ISMIR 2008: 237-242

Bin Zhao, Fei Wang, Changshui Zhang: Cuts3vm: a fast semi-supervised svm algorithm. KDD 2008: 830-838

Yangqing Jia, Jingdong Wang, Changshui Zhang, Xian-Sheng Hua: Finding image exemplars using fast sparse affinity propagation. ACM Multimedia 2008: 639-642

Zheng Wang, Yangqiu Song, Changshui Zhang: Transferred Dimensionality Reduction. ECML/PKDD (2) 2008: 550-565

Yangqing Jia, Zheng Wang, Changshui Zhang: Distortion-Free Nonlinear Dimensionality Reduction. ECML/PKDD (1) 2008: 564-579

Fei Wang, Tao Li, Changshui Zhang: Semi-Supervised Clustering via Matrix Factorization. SDM 2008: 1-12

Dan Zhang, Jingdong Wang, Fei Wang, Changshui Zhang: Semi-Supervised Classification with Universum. SDM 2008: 323-333

Gang Chen, Yangqiu Song, Fei Wang, Changshui Zhang: Semi-supervised Multi-label Learning by Solving a Sylvester Equation. SDM 2008: 410-419

Bin Zhao, Fei Wang, Changshui Zhang: Efficient Maximum Margin Clustering via Cutting Plane Algorithm. SDM 2008: 751-762

Zhenwei Shi, Changshui Zhang: Semi-blind source extraction for fetal electrocardiogram extraction by combining non-Gaussianity and time-correlation. Neurocomputing 70(7-9): 1574-1581 (2007)

Fei Wang, Changshui Zhang: Robust self-tuning semi-supervised learning. Neurocomputing 70(16-18): 2931-2939 (2007)

Zhenwei Shi, Changshui Zhang: Nonlinear innovation to blind source separation. Neurocomputing 71(1-3): 406-410 (2007)

Fei Wang, Shijun Wang, Changshui Zhang, Ole Winther: Semi-Supervised Mean Fields. Journal of Machine Learning Research - Proceedings Track 2: 596-603 (2007)

Fei Wu, Changshui Zhang, Jingrui He: An evolutionary system for near-regular texture synthesis. Pattern Recognition 40(8): 2271-2282 (2007)

Fei Wang, Jingdong Wang, Changshui Zhang, James T. Kwok: Face recognition using spectral features. Pattern Recognition 40(10): 2786-2797 (2007)

Shiliang Sun, Changshui Zhang, Dan Zhang: An experimental evaluation of ensemble methods for EEG signal classification. Pattern Recognition Letters 28(15): 2157-2163 (2007)

Zhonglin Lin, Changshui Zhang, Wei Wu, Xiaorong Gao: Frequency Recognition Based on Canonical Correlation Analysis for SSVEP-Based BCIs. IEEE Trans. Biomed. Engineering 54(6): 1172-1176 (2007)

Shiliang Sun, Changshui Zhang: The Selective Random Subspace Predictor for Traffic Flow Forecasting. IEEE Transactions on Intelligent Transportation Systems 8(2): 367-373 (2007)

Zhenwei Shi, Changshui Zhang: Blind Source Extraction Using Generalized Autocorrelations. IEEE Transactions on Neural Networks 18(5): 1516-1524 (2007)

Fei Wang, Changshui Zhang, Tao Li: Clustering with Local and Global Regularization. AAAI 2007: 657-662

Dan Zhang, Zhenwei Shi, Yangqiu Song, Changshui Zhang: Localized Content-Based Image Retrieval Using Semi-Supervised Multiple Instance Learning. ACCV (1) 2007: 180-188

Yangqiu Song, Bin Zhang, Wen Jun Yin, Changshui Zhang, Jin Dong: Ranking with semi-supervised distance metric learning and its application to housing potential estimation. CIKM 2007: 975-978

Feiping Nie, Shiming Xiang, Yangqiu Song, Changshui Zhang: Optimal Dimensionality Discriminant Analysis and Its Application to Image Recognition. CVPR 2007

Fei Wang, Changshui Zhang: Feature Extraction by Maximizing the Average Neighborhood Margin. CVPR 2007

Liang Xiong, Jianguo Li, Changshui Zhang: Discriminant Additive Tangent Spaces for Object Recognition. CVPR 2007

Liang Xiong, Fei Wang, Changshui Zhang: Semi-definite Manifold Alignment. ECML 2007: 773-781

Gang Chen, Fei Wang, Changshui Zhang: Collaborative Filtering Using Orthogonal Nonnegative Matrix Tri-factorization. ICDM Workshops 2007: 303-308

Liang Xiong, Fei Wang, Changshui Zhang: Multilevel Belief Propagation for Fast Inference on Markov Random Fields. ICDM 2007: 371-380

Shouchun Chen, Fei Wang, Changshui Zhang: Simultaneous Heterogeneous Data Clustering Based on Higher Order Relationships. ICDM Workshops 2007: 387-392

Zhiyao Duan, Dan Zhang, Changshui Zhang, Zhenwei Shi: Multi-Pitch Estimation Based on Partial Event and Support Transfer. ICME 2007: 216-219

Zhenwei Shi, Dan Zhang, Changshui Zhang: A Fixed-Point Algorithm for Blind Separation of Temporally Correlated Sources. ICME 2007: 220-223

Jianguo Li, Changshui Zhang, Tao Wang, Yimin Zhang: Generalized Additive Bayesian Network Classifiers. IJCAI 2007: 913-918

Feiping Nie, Shiming Xiang, Changshui Zhang: Neighborhood MinMax Projections. IJCAI 2007: 993-998

Jingyu Cui, Changshui Zhang: Combining stroke-based and selection-based relevance feedback for content-based image retrieval. ACM Multimedia 2007: 329-332

Shiming Xiang, Feiping Nie, Changshui Zhang, Chunxia Zhang: Interactive Visual Object Extraction Based on Belief Propagation. MMM (1) 2007: 24-33

Shiming Xiang, Feiping Nie, Yangqiu Song, Changshui Zhang, Chunxia Zhang: Embedding New Data Points for Manifold Learning Via Coordinate Propagation. PAKDD 2007: 332-343

Fei Wang, Changshui Zhang: Fast Multilevel Transduction on Graphs. SDM 2007

Fei Wang, Changshui Zhang, Tao Li: Regularized clustering for documents. SIGIR 2007: 95-102

Hanghang Tong, Jingrui He, Mingjing Li, Wei-Ying Ma, Hong-Jiang Zhang, Changshui Zhang: Manifold-Ranking-Based Keyword Propagation for Image Retrieval. EURASIP J. Adv. Sig. Proc. 2006 (2006)

Zhenwei Shi, Changshui Zhang: Gaussian moments for noisy complexity pursuit. Neurocomputing 69(7-9): 917-921 (2006)

Shiliang Sun, Changshui Zhang: An optimal kernel feature extractor and its application to EEG signal classification. Neurocomputing 69(13-15): 1743-1748 (2006)

Shiliang Sun, Changshui Zhang: Adaptive feature extraction for EEG signal classification. Med. Biol. Engineering and Computing 44(10): 931-935 (2006)

Jianguo Lee, Changshui Zhang: Classification of gene-expression data: The manifold-based metric learning way. Pattern Recognition 39(12): 2450-2463 (2006)

Zhonglin Lin, Changshui Zhang, Wei Wu, Xiaorong Gao: Frequency Recognition Based on Canonical Correlation Analysis for SSVEP-Based BCIs. IEEE Trans. Biomed. Engineering 53(12): 2610-2614 (2006)

Jingrui He, Mingjing Li, HongJiang Zhang, Hanghang Tong, Changshui Zhang: Generalized Manifold-Ranking-Based Image Retrieval. IEEE Transactions on Image Processing 15(10): 3170-3177 (2006)

Shiliang Sun, Changshui Zhang, Guoqiang Yu: A bayesian network approach to traffic flow forecasting. IEEE Transactions on Intelligent Transportation Systems 7(1): 124-132 (2006)

Shiming Xiang, Feiping Nie, Changshui Zhang: Texture Image Segmentation: An Interactive Framework Based on Adaptive Features and Transductive Learning. ACCV (1) 2006: 216-225

Shiming Xiang, Feiping Nie, Changshui Zhang: Exemplar-Based Human Contour Tracking. ACCV (1) 2006: 338-347

Shiming Xiang, Feiping Nie, Changshui Zhang: Contour Matching Based on Belief Propagation. ACCV (2) 2006: 489-498

Fei Wang, Changshui Zhang, Helen C. Shen, Jingdong Wang: Semi-Supervised Classification Using Linear Neighborhood Propagation. CVPR (1) 2006: 160-167

Shiming Xiang, Feiping Nie, Changshui Zhang, Chunxia Zhang: Spline Embedding for Nonlinear Dimensionality Reduction. ECML 2006: 825-832

Fei Wang, Changshui Zhang: Label propagation through linear neighborhoods. ICML 2006: 985-992

Zhonglin Lin, Changshui Zhang, Xiaorong Gao: Machine Learning Way for Boosting Accuracy in Canonical Correlation Analysis based Frequency Recognition. IJCNN 2006: 4645-4649

Qutang Cai, Changshui Zhang: Estimating Fractal Intrinsic Dimension from the Neighborhood. ISNN (1) 2006: 1312-1318

Yunpeng Xu, Xing Yi, Changshui Zhang: A Random Walks Method for Text Classification. SDM 2006

Yangqiu Song, Changshui Zhang, Jianguo Lee: Graph Based Multi-class Semi-supervised Learning Using Gaussian Process. SSPR/SPR 2006: 450-458

Shifeng Weng, Changshui Zhang, Zhonglin Lin: Exploring the structure of supervised data by Discriminant Isometric Mapping. Pattern Recognition 38(4): 599-601 (2005)

Jianguo Lee, Jingdong Wang, Changshui Zhang, Zhaoqi Bian: Visual object recognition using probabilistic kernel subspace similarity. Pattern Recognition 38(7): 997-1008 (2005)

Baibo Zhang, Changshui Zhang, Xing Yi: Active curve axis Gaussian mixture models. Pattern Recognition 38(12): 2351-2362 (2005)

Rui Ma, Yaxuan Qi, Changshui Zhang, Jiaxin Wang: Fingerprint Ridge Line Extraction Based on Tracing and Directional Feedback. CIS (1) 2005: 1033-1038

Hanghang Tong, Jingrui He, Mingjing Li, Wei-Ying Ma, Changshui Zhang, HongJiang Zhang: A Unified Optimization Based Learning Method for Image Retrieval. CVPR (2) 2005: 230-235

Shiliang Sun, Changshui Zhang: Learning On-Line Classification via Decorrelated LMS Algorithm: Application to Brain-Computer Interfaces. Discovery Science 2005: 215-226

Shijun Wang, Zhonglin Lin, Changshui Zhang: Network Boosting for BCI Applications. Discovery Science 2005: 386-388

Yinglong Xia, Changshui Zhang, Shifeng Weng, Rongbin Liu: Fault-Tolerant EM Algorithm for GMM in Sensor Networks. DMIN 2005: 166-172

Shijun Wang, Changshui Zhang: Network Game and Boosting. ECML 2005: 461-472

Yalin Zheng, Changshui Zhang, Yinglong Xia: Type II Topological Logic C¹_T and Approximate Reasoning. FSKD (1) 2005: 243-252

Yalin Zheng, Changshui Zhang, Xin Yao: Type-I Topological Logic C¹_I and Approximate Reasoning. FSKD (1) 2005: 253-262

Shiliang Sun, Changshui Zhang, Naijiang Lu: On the On-line Learning Algorithms for EEG Signal Classification in Brain Computer Interfaces. FSKD (2) 2005: 638-647

Shiliang Sun, Changshui Zhang, Yi Zhang: Traffic Flow Forecasting Using a Spatio-temporal Bayesian Network Predictor. ICANN (2) 2005: 273-278

Fei Wang, Changshui Zhang: Spectral Clustering for Time Series. ICAPR (1) 2005: 345-354

Xing Yi, Yunpeng Xu, Changshui Zhang: Multi-view EM Algorithm for Finite Mixture Models. ICAPR (1) 2005: 420-425

Yunpeng Xu, Changshui Zhang, Naijiang Lu: A Bayesian Method for High-Frequency Restoration of Low Sample-Rate Speech. ICAPR (1) 2005: 544-552

Xin Yao, Changshui Zhang, Jinwen Chen, Yanda Li: On the Scale-Free Intersection Graphs. ICCSA (2) 2005: 1217-1224

Yungang Zhang, Changshui Zhang: Separation of Voice and Music by Harmonic Structure Stability Analysis. ICME 2005: 562-565

Shiliang Sun, Changshui Zhang: Using a Random Subspace Predictor to Integrate Spatial and Temporal Information for Traffic Flow Forecasting. ICNC (2) 2005: 652-655

Fei Wang, Changshui Zhang, Naijiang Lu: Boosting GMM and Its Two Applications. Multiple Classifier Systems 2005: 12-21

Jingrui He, Hanghang Tong, Mingjing Li, Wei-Ying Ma, Changshui Zhang: Multiple random walk and its application in content-based image retrieval. Multimedia Information Retrieval 2005: 151-158

Baibo Zhang, Changshui Zhang: Finite Mixture Models with Negative Components. MLDM 2005: 31-41

Shiming Xiang, Changshui Zhang, Xiaoping Chen, Naijiang Lu: A New Approach to Human Motion Sequence Recognition with Application to Diving Actions. MLDM 2005: 487-496

Yinglong Xia, Shifeng Weng, Changshui Zhang, Shao Li: Mixture Random Effect Model Based Meta-analysis for Medical Data Mining. MLDM 2005: 630-640

Hanghang Tong, Jingrui He, Mingjing Li, Changshui Zhang, Wei-Ying Ma: Graph based multi-modality learning. ACM Multimedia 2005: 862-871

Hanghang Tong, Mingjing Li, HongJiang Zhang, Changshui Zhang, Jingrui He, Wei-Ying Ma: Learning No-Reference Quality Metric by Examples. MMM 2005: 247-254

Yungang Zhang, Changshui Zhang: Separation of Music Signals by Harmonic Structure Modeling. NIPS 2005

Rongbin Liu, Changshui Zhang, Yinglong Xia: Importance Feature Sampling in Random Subspace. VISION 2005: 192-197

Yanxi Liu, Tianzi Jiang, Changshui Zhang (Eds.): Computer Vision for Biomedical Image Applications, First International Workshop, CVBIA 2005, Beijing, China, October 21, 2005, Proceedings. Lecture Notes in Computer Science 3765, Springer 2005, isbn 3-540-29411-2

Baibo Zhang, Changshui Zhang, Xing Yi: Competitive EM algorithm for finite mixture models. Pattern Recognition 37(1): 131-144 (2004)

Yungang Zhang, Changshui Zhang, David Zhang: Distance metric learning by knowledge embedding. Pattern Recognition 37(1): 161-163 (2004)

Changshui Zhang, Jun Wang, Nanyuan Zhao, David Zhang: Reconstruction and analysis of multi-pose face images based on nonlinear dimensionality reduction. Pattern Recognition 37(2): 325-336 (2004)

Yungang Zhang, Changshui Zhang, David Zhang: Erratum to "Distance metric learning by knowledge embedding" [Pattern Recognition 37(1)161-163(2004)]. Pattern Recognition 37(4): 855 (2004)

Yonglei Zhou, Changshui Zhang, Jingchun Wang: Tunable Nearest Neighbor Classifier. DAGM-Symposium 2004: 204-211

Shiliang Sun, Changshui Zhang, Guoqiang Yu, Naijiang Lu, Fei Xiao: Bayesian Network Methods for Traffic Flow Forecasting with Incomplete Data. ECML 2004: 419-428

Xun Xu, Changshui Zhang, Thomas S. Huang: Active Morphable Model: An Efficient Method for Face Analysis. FGR 2004: 837-842

Jingrui He, Mingjing Li, HongJiang Zhang, Changshui Zhang: Symmetry feature in content-based image retrieval. ICIP 2004: 417-420

Hanghang Tong, Mingjing Li, HongJiang Zhang, Changshui Zhang: No-reference quality assessment for JPEG2000 compressed images. ICIP 2004: 3539-3542

Hanghang Tong, Mingjing Li, HongJiang Zhang, Changshui Zhang: Blur detection for digital images using wavelet transform. ICME 2004: 17-20

Xing Yi, Changshui Zhang, Jingdong Wang: Multi-view EM algorithm and its application to color image segmentation. ICME 2004: 351-354

Jianguo Lee, Jingdong Wang, Changshui Zhang, Zhaoqi Bian: Probabilistic tangent subspace: a unified view. ICML 2004

Jingrui He, Mingjing Li, HongJiang Zhang, Changshui Zhang: W-Boost and Its Application to Web Image Classification. ICPR (1) 2004: 148-151

Xing Yi, Zhongbao Kou, Changshui Zhang: Classifier Combination based on Active Learning. ICPR (1) 2004: 184-187

Fei Wu, Yonglei Zhou, Changshui Zhang: Relevant Linear Feature Extraction Using Side-information and Unlabeled Data. ICPR (3) 2004: 582-585

Like Zhuang, Zhongbao Kou, Changshui Zhang: Session Identification Based on Time Interval in Web Log Mining. Intelligent Information Processing 2004: 389-396

Shifeng Weng, Fai Wong, Changshui Zhang: A New Adaptive Self-Organizing Map. ISNN (1) 2004: 205-210

Zhonglin Lin, Shifeng Weng, Changshui Zhang, Naijiang Lu, Zhimin Xia: Learning the Supervised NLDR Mapping for Classification. ISNN (1) 2004: 900-905

Changshui Zhang, Shiliang Sun, Guoqiang Yu: Short-Term Traffic Flow Forecasting Using Expanded Bayesian Network for Incomplete Data. ISNN (2) 2004: 950-955

Jingrui He, Hanghang Tong, Mingjing Li, HongJiang Zhang, Changshui Zhang: Mean version space: a new active learning method for content-based image retrieval. Multimedia Information Retrieval 2004: 15-22

Jingrui He, Mingjing Li, HongJiang Zhang, Hanghang Tong, Changshui Zhang: Manifold-ranking based image retrieval. ACM Multimedia 2004: 9-16

Jingrui He, Mingjing Li, HongJiang Zhang, Hanghang Tong, Changshui Zhang: Automatic Peak Number Detection in Image Symmetry Analysis. PCM (3) 2004: 111-118

Hanghang Tong, Mingjing Li, HongJiang Zhang, Jingrui He, Changshui Zhang: Classification of Digital Photos Taken by Photographers or Home Users. PCM (1) 2004: 198-205

Jingrui He, Mingjing Li, Zhiwei Li, HongJiang Zhang, Hanghang Tong, Changshui Zhang: Pseudo Relevance Feedback Based on Iterative Probabilistic One-Class SVMs in Web Image Retrieval. PCM (2) 2004: 213-220

Yonglei Zhou, Changshui Zhang, Jingchun Wang: Extended Nearest Feature Line Classifier. PRICAI 2004: 183-190

Jingdong Wang, Jianguo Lee, Changshui Zhang: Kernel Trick Embedded Gaussian Mixture Model. ALT 2003: 159-174

Jun Wang, Changshui Zhang, Zhongbao Kou: An Analytical Mapping for LLE and Its Application in Multi-Pose Face Synthesis. BMVC 2003: 1-12

Zhongbao Kou, Ban Tao, Changshui Zhang: Discovery of Relationships between Interests from Bulletin Board System by Dissimilarity Reconstruction. Discovery Science 2003: 328-335

Ban Tao, Changshui Zhang, Shu Wei: A Multi-agent Based approach to Modelling and Rendering of 3D Tree Bark Textures. ECAL 2003: 572-579

Jianguo Lee, Jingdong Wang, Changshui Zhang: Color Image Segmentation: Kernel Do the Feature Space. ECML 2003: 253-264

Yungang Zhang, Changshui Zhang, Shijun Wang: Clustering in Knowledge Embedded Space. ECML 2003: 480-491

Jingdong Wang, Jianguo Lee, Changshui Zhang: Kernel GMM and its application to image binarization. ICME 2003: 533-536

Ce Liu, Heung-Yeung Shum, Changshui Zhang: Hierarchical Shape Modeling for Automatic Face Localization. ECCV (2) 2002: 687-703

Ce Liu, Heung-Yeung Shum, Changshui Zhang: A Two-Step Approach to Hallucinating Faces: Global Parametric Model and Local Nonparametric Model. CVPR (1) 2001: 192-198

Jie Zhou, Le-ping Xin, Dashan Gao, Changshui Zhang, David Zhang: Automated Cartridge Identification for Firearm Authentication. CVPR (1) 2001: 749-754

Jun Chen, Changshui Zhang, Gang Rong: Palmprint recognition using crease. ICIP (3) 2001: 234-237

Xiao-guang Lv, Jie Zhou, Changshui Zhang: A Novel Algorithm for Rotated Human Face Detection. CVPR 2000: 1760-1765