Linear programming support vector machines. - Weida Zhou; Li Zhang 004; Licheng Jiao (Pattern Recognit., 2002)

Hidden space support vector machines. - Li Zhang 004; Weida Zhou; Licheng Jiao (IEEE Trans. Neural Networks, 2004)

Wavelet support vector machine. - Li Zhang 004; Weida Zhou; Licheng Jiao (IEEE Trans. Syst. Man Cybern. Part B, 2004)

Support Vector Machines Based on the Orthogonal Projection Kernel of Father Wavelet. - Li Zhang 004; Weida Zhou; Licheng Jiao (Int. J. Comput. Intell. Appl., 2005)

Support Vector Regression Based on Unconstrained Convex Quadratic Programming. - Weida Zhou; Li Zhang 004; Licheng Jiao; Jin Pan (ICNC (1), 2006)

Hidden Space Principal Component Analysis. - Weida Zhou; Li Zhang 004; Licheng Jiao (PAKDD, 2006)

Recognition of SAR Occluded Targets Using SVM. - Yi Gao; Rui Hu; Licheng Jiao; Weida Zhou; Xiangrong Zhang (MMM (2), 2007)

Face Recognition Using Kernel Uncorrelated Discriminant Analysis. - Licheng Jiao; Rui Hu; Weida Zhou; Yi Gao (MMM (2), 2007)

Decision Tree Support Vector Machine. - Li Zhang 004; Weida Zhou; Tian-Tian Su; Licheng Jiao (Int. J. Artif. Intell. Tools, 2007)

Generalized Nonlinear Discriminant Analysis. - Li Zhang 004; Weida Zhou; Hua Zhang; Licheng Jiao (ICPR, 2008)

Identification and Control of Discrete-Time Nonlinear Systems Using Affine Support Vector Machines. - Li Zhang 004; Yugeng Xi; Weida Zhou (Int. J. Artif. Intell. Tools, 2009)

Complex-valued support vector classifiers. - Li Zhang 004; Weida Zhou; Licheng Jiao (Digit. Signal Process., 2010)

On the sparseness of 1-norm support vector machines. - Li Zhang 004; Weida Zhou (Neural Networks, 2010)

Nonlinear Nearest Subspace Classifier. - Li Zhang 004; Weida Zhou; Bing Liu (ICONIP (2), 2011)

Generalized nonlinear discriminant analysis and its small sample size problems. - Li Zhang 004; Weida Zhou; Pei-Chann Chang (Neurocomputing, 2011)

Sparse ensembles using weighted combination methods based on linear programming. - Li Zhang 004; Weida Zhou (Pattern Recognit., 2011)

Density-induced margin support vector machines. - Li Zhang 004; Weida Zhou (Pattern Recognit., 2011)

Kernel Sparse Representation-Based Classifier. - Li Zhang 004; Weida Zhou; Pei-Chann Chang; Jing Liu 006; Zhe Yan; Ting Wang; Fanzhang Li (IEEE Trans. Signal Process., 2012)

Iterated time series prediction with multiple support vector regression models. - Li Zhang 004; Weida Zhou; Pei-Chann Chang; Ji-Wen Yang; Fanzhang Li (Neurocomputing, 2013)

A fast algorithm for kernel 1-norm support vector machines. - Li Zhang 004; Weida Zhou (Knowl. Based Syst., 2013)

Sparse signal reconstruction using decomposition algorithm. - Li Zhang 004; Weida Zhou; Gui-Rong Chen; Ya-Ping Lu; Fanzhang Li (Knowl. Based Syst., 2013)

Analysis of programming properties and the row-column generation method for 1-norm support vector machines. - Li Zhang 004; Weida Zhou (Neural Networks, 2013)

1-norm support vector novelty detection and its sparseness. - Li Zhang 004; Weida Zhou (Neural Networks, 2013)

Filtering SAR imagery for edge detection using support value transform. - Li Zhang 004; Weida Zhou; Bangjun Wang (IJCNN, 2015)

A fast approximation algorithm for 1-norm SVM with squared loss. - Li Zhang 004; Weida Zhou; Zhao Zhang 001; Jiwen Yang (IJCNN, 2015)

Similarity-balanced discriminant neighbor embedding and its application to cancer classification based on gene expression data. - Li Zhang 004; Liqiang Qian; Chuntao Ding; Weida Zhou; Fanzhang Li (Comput. Biol. Medicine, 2015)

Kernel sparse representation-based classifier ensemble for face recognition. - Li Zhang 004; Weida Zhou; Fanzhang Li (Multim. Tools Appl., 2015)

Time series prediction using sparse regression ensemble based on ℓ2-ℓ1 problem. - Li Zhang 004; Weida Zhou (Soft Comput., 2015)

Fisher-regularized support vector machine. - Li Zhang 004; Weida Zhou (Inf. Sci., 2016)

Applying 1-norm SVM with squared loss to gene selection for cancer classification. - Li Zhang 004; Weida Zhou; Bangjun Wang; Zhao Zhang 001; Fanzhang Li (Appl. Intell., 2018)

Logistic local hyperplane-Relief: A feature weighting method for classification. - Li Zhang 004; Xiaojuan Huang; Weida Zhou (Knowl. Based Syst., 2019)

Fast Gaussian kernel support vector machine recursive feature elimination algorithm. - Li Zhang 004; Xiaohan Zheng; Qing-Qing Pang; Weida Zhou (Appl. Intell., 2021)

A two-stage virtual machine abnormal behavior-based anomaly detection mechanism. - Hancui Zhang; Weida Zhou (Clust. Comput., 2022)