Similarity measures on intuitionistic fuzzy sets. - Zhizheng Liang; Pengfei Shi (Pattern Recognit. Lett., 2003)

An efficient and effective method to solve kernel Fisher discriminant analysis. - Zhizheng Liang; Pengfei Shi (Neurocomputing, 2004)

Uncorrelated discriminant vectors using a kernel method. - Zhizheng Liang; Pengfei Shi (Pattern Recognit., 2005)

Kernel direct discriminant analysis and its theoretical foundatio. - Zhizheng Liang; Pengfei Shi (Pattern Recognit., 2005)

An analytical algorithm for generalized low-rank approximations of matrices. - Zhizheng Liang; Pengfei Shi (Pattern Recognit., 2005)

A metasynthetic approach for segmenting handwritten Chinese character strings. - Zhizheng Liang; Pengfei Shi (Pattern Recognit. Lett., 2005)

Two-Dimensional Fisher Discriminant Analysis and Its Application to Face Recognition. - Zhizheng Liang; Pengfei Shi; David Zhang 001 (ACCV (1), 2006)

High-dimensional discriminant analysis and its application to color face images. - Zhizheng Liang (ICPR (2), 2006)

Feature selection for linear support vector machines. - Zhizheng Liang; Tuo Zhao (ICPR (2), 2006)

Robust kernel discriminant analysis and its application to feature extraction and recognition. - Zhizheng Liang; David Zhang 001; Pengfei Shi (Neurocomputing, 2006)

A Novel Null Space-Based Kernel Discriminant Analysis for Face Recognition. - Tuo Zhao; Zhizheng Liang; David Zhang 001; Yahui Liu (ICB, 2007)

The theoretical analysis of GLRAM and its applications. - Zhizheng Liang; David Zhang 001; Pengfei Shi (Pattern Recognit., 2007)

A note on two-dimensional linear discriminant analysis. - Zhizheng Liang; Youfu Li 001; Pengfei Shi (Pattern Recognit. Lett., 2008)

Interest filter vs. interest operator: Face recognition using Fisher linear discriminant based on interest filter representation. - Tuo Zhao; Zhizheng Liang; David Zhang 001; Quan Zou 001 (Pattern Recognit. Lett., 2008)

Incremental support vector machine learning in the primal and applications. - Zhizheng Liang; Youfu Li 001 (Neurocomputing, 2009)

A regularization framework for robust dimensionality reduction with applications to image reconstruction and feature extraction. - Zhizheng Liang; Youfu Li 001 (Pattern Recognit., 2010)

Projected gradient method for kernel discriminant nonnegative matrix factorization and the applications. - Zhizheng Liang; Youfu Li 001; Tuo Zhao (Signal Process., 2010)

Blockwise projection matrix versus blockwise data on undersampled problems: Analysis, comparison and applications. - Zhizheng Liang; Shixiong Xia; Yong Zhou 003; Youfu Li 001 (Pattern Recognit., 2011)

Beltrami flow in Hilbert space with applications to image denoising. - Zhizheng Liang; Youfu Li 001 (J. Electronic Imaging, 2012)

A Majorization-Minimization Approach to Lq Norm Multiple Kernel Learning. - Zhizheng Liang; Shixiong Xia; Jin Liu 006; Yong Zhou 003; Lei Zhang 029 (ACPR, 2013)

A Fuzzy Mix-Prototype Clustering Algorithm for Leukemia Data Analysis. - Jin Liu 006; Qianping Wang; Zhizheng Liang; Wei Chen 036 (IScIDE, 2013)

Time-Varying Distributed Resource Allocation Based on Thermal Minority Game. - Jin Liu 006; Qianping Wang; Zhizheng Liang; Wei Chen 036 (IScIDE, 2013)

Normalized discriminant analysis for dimensionality reduction. - Zhizheng Liang; Shixiong Xia; Yong Zhou 003 (Neurocomputing, 2013)

Training Lp norm multiple kernel learning in the primal. - Zhizheng Liang; Shixiong Xia; Yong Zhou 003; Lei Zhang 029 (Neural Networks, 2013)

Adaptive weighted learning for linear regression problems via Kullback-Leibler divergence. - Zhizheng Liang; Youfu Li 001; Shixiong Xia (Pattern Recognit., 2013)

Feature extraction based on Lp-norm generalized principal component analysis. - Zhizheng Liang; Shixiong Xia; Yong Zhou 003; Lei Zhang 029; Youfu Li 001 (Pattern Recognit. Lett., 2013)

Efficient Feature Scaling for Support Vector Machines with a Quadratic Kernel. - Zhizheng Liang; Ning Liu (Neural Process. Lett., 2014)

A Novel Multiple Kernel Learning Method Based on the Kullback-Leibler Divergence. - Zhizheng Liang; Lei Zhang 029; Jin Liu 006 (Neural Process. Lett., 2015)

Improving Face Image Representation Using Tangent Vectors and the L1 Norm. - Zhicheng Lu; Zhizheng Liang; Lei Zhang 029; Jin Liu 006; Yong Zhou 003 (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2016)

A Complete Subspace Analysis of Linear Discriminant Analysis and Its Robust Implementation. - Zhicheng Lu; Zhizheng Liang (J. Electr. Comput. Eng., 2016)

A novel total variation model based on kernel functions and its application. - Zhizheng Liang; Lei Zhang 029; Jin Liu 006; Yong Zhou 003 (CoRR, 2017)

Fast Time-Aware Sparse Trajectories Prediction with Tensor Factorization. - Lei Zhang 029; Qingfu Fan; Guoxing Zhang; Zhizheng Liang (IEICE Trans. Inf. Syst., 2018)

Predicting Taxi Destination by Regularized RNN with SDZ. - Lei Zhang 029; Guoxing Zhang; Zhizheng Liang; Qingfu Fan; Yadong Li (IEICE Trans. Inf. Syst., 2018)

Fuzzy mixed-prototype clustering algorithm for microarray data analysis. - Jin Liu 006; Tuan D. Pham; Hong Yan 001; Zhizheng Liang (Neurocomputing, 2018)

Matrix-based subspace analysis with the general norm for image feature extraction. - Zhizheng Liang (Pattern Anal. Appl., 2018)

Adaptively weighted learning for twin support vector machines via Bregman divergences. - Zhizheng Liang; Lei Zhang 029; Jin Liu 006; Yong Zhou 003 (Neural Comput. Appl., 2020)

Robust Two-Dimensional Linear Discriminant Analysis via Information Divergence. - Lei Zhang 029; Zhizheng Liang (Neural Process. Lett., 2020)

Locality preserving difference component analysis based on the Lq norm. - Zhizheng Liang; Xue-wen Chen 001; Lei Zhang 029; Jin Liu 006; Yong Zhou 003 (Pattern Anal. Appl., 2020)

Correlation classifiers based on data perturbation: New formulations and algorithms. - Zhizheng Liang; Xue-wen Chen 001; Lei Zhang 029; Jin Liu 006; Yong Zhou 003 (Pattern Recognit., 2020)

Combined embedding model for MiRNA-disease association prediction. - Bailong Liu; Xiaoyan Zhu; Lei Zhang 029; Zhizheng Liang; Zhengwei Li 001 (BMC Bioinform., 2021)

Support vector machines with the ε-insensitive pinball loss function for uncertain data classification. - Zhizheng Liang; Lei Zhang 029 (Neurocomputing, 2021)

Intuitionistic fuzzy twin support vector machines with the insensitive pinball loss. - Zhizheng Liang; Lei Zhang 029 (Appl. Soft Comput., 2022)

Exploring Complex Dependencies for Multi-modal Semantic Trajectory Prediction. - Jie Liu; Lei Zhang 029; Shaojie Zhu; Bailong Liu; Zhizheng Liang; Susong Yang (Neural Process. Lett., 2022)

Uncertainty-aware twin support vector machines. - Zhizheng Liang; Lei Zhang 029 (Pattern Recognit., 2022)

L1-norm discriminant analysis via Bhattacharyya error bounds under Laplace distributions. - Zhizheng Liang; Lei Zhang 029 (Pattern Recognit., 2023)

Robust support function machines for set-valued data classification. - Zhizheng Liang; Yuhan Min (Int. J. Approx. Reason., 2024)

Fuzzy Twin Support Vector Machines With Distribution Inputs. - Zhizheng Liang; Shifei Ding (IEEE Trans. Fuzzy Syst., 2024)

Erratum to 'L1-norm discriminant analysis via Bhattacharyya error bounds under Laplace distributions' [Pattern Recognition 141 (2023) 109609]. - Zhizheng Liang; Lei Zhang 029 (Pattern Recognit., 2024)

Learning robust discriminant features via correntropy-induced functions: from supervised to unsupervised learning. - Zhizheng Liang (Knowl. Inf. Syst., 2025)