Zhizheng Liang

Publication Activity (10 Years)

Years Active: 2003-2024
Publications (10 Years): 20

Top Topics

Discriminant Analysis

Support Vector Machine

Kernel Learning

Image Feature Extraction

Top Venues

Pattern Recognit.

Neural Process. Lett.

IEICE Trans. Inf. Syst.

Pattern Anal. Appl.

Publications

Zhizheng Liang, Shifei Ding
Fuzzy Twin Support Vector Machines With Distribution Inputs. IEEE Trans. Fuzzy Syst. 32 (1) (2024)
Zhizheng Liang, Lei Zhang
Erratum to 'L1-norm discriminant analysis via Bhattacharyya error bounds under Laplace distributions' [Pattern Recognition 141 (2023) 109609]. Pattern Recognit. 146 (2024)
Zhizheng Liang, Lei Zhang
L1-norm discriminant analysis via Bhattacharyya error bounds under Laplace distributions. Pattern Recognit. 141 (2023)
Zhizheng Liang, Lei Zhang
Uncertainty-aware twin support vector machines. Pattern Recognit. 129 (2022)
Zhizheng Liang, Lei Zhang
Intuitionistic fuzzy twin support vector machines with the insensitive pinball loss. Appl. Soft Comput. 115 (2022)
Jie Liu, Lei Zhang, Shaojie Zhu, Bailong Liu, Zhizheng Liang, Susong Yang
Exploring Complex Dependencies for Multi-modal Semantic Trajectory Prediction. Neural Process. Lett. 54 (2) (2022)
Bailong Liu, Xiaoyan Zhu, Lei Zhang, Zhizheng Liang, Zhengwei Li
Combined embedding model for MiRNA-disease association prediction. BMC Bioinform. 22 (1) (2021)
Zhizheng Liang, Lei Zhang
Support vector machines with the ε-insensitive pinball loss function for uncertain data classification. Neurocomputing 457 (2021)
Lei Zhang, Zhizheng Liang
Robust Two-Dimensional Linear Discriminant Analysis via Information Divergence. Neural Process. Lett. 52 (3) (2020)
Zhizheng Liang, Xuewen Chen, Lei Zhang, Jin Liu, Yong Zhou
Locality preserving difference component analysis based on the Lq norm. Pattern Anal. Appl. 23 (2) (2020)
Zhizheng Liang, Lei Zhang, Jin Liu, Yong Zhou
Adaptively weighted learning for twin support vector machines via Bregman divergences. Neural Comput. Appl. 32 (8) (2020)
Zhizheng Liang, Xuewen Chen, Lei Zhang, Jin Liu, Yong Zhou
Correlation classifiers based on data perturbation: New formulations and algorithms. Pattern Recognit. 100 (2020)
Lei Zhang, Guoxing Zhang, Zhizheng Liang, Qingfu Fan, Yadong Li
Predicting Taxi Destination by Regularized RNN with SDZ. IEICE Trans. Inf. Syst. (8) (2018)
Lei Zhang, Qingfu Fan, Guoxing Zhang, Zhizheng Liang
Fast Time-Aware Sparse Trajectories Prediction with Tensor Factorization. IEICE Trans. Inf. Syst. (7) (2018)
Jin Liu, Tuan D. Pham, Hong Yan, Zhizheng Liang
Fuzzy mixed-prototype clustering algorithm for microarray data analysis. Neurocomputing 276 (2018)
Zhizheng Liang
Matrix-based subspace analysis with the general norm for image feature extraction. Pattern Anal. Appl. 21 (3) (2018)
Zhizheng Liang, Lei Zhang, Jin Liu, Yong Zhou
A novel total variation model based on kernel functions and its application. CoRR (2017)
Zhicheng Lu, Zhizheng Liang, Lei Zhang, Jin Liu, Yong Zhou
Improving Face Image Representation Using Tangent Vectors and the L1 Norm. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. (11) (2016)
Zhicheng Lu, Zhizheng Liang
A Complete Subspace Analysis of Linear Discriminant Analysis and Its Robust Implementation. J. Electr. Comput. Eng. 2016 (2016)
Zhizheng Liang, Lei Zhang, Jin Liu
A Novel Multiple Kernel Learning Method Based on the Kullback-Leibler Divergence. Neural Process. Lett. 42 (3) (2015)
Zhizheng Liang, Ning Liu
Efficient Feature Scaling for Support Vector Machines with a Quadratic Kernel. Neural Process. Lett. 39 (3) (2014)
Jin Liu, Qianping Wang, Zhizheng Liang, Wei Chen
A Fuzzy Mix-Prototype Clustering Algorithm for Leukemia Data Analysis. IScIDE (2013)
Zhizheng Liang, Shixiong Xia, Jin Liu, Yong Zhou, Lei Zhang
A Majorization-Minimization Approach to Lq Norm Multiple Kernel Learning. ACPR (2013)
Zhizheng Liang, Shixiong Xia, Yong Zhou, Lei Zhang, Youfu Li
Feature extraction based on Lp-norm generalized principal component analysis. Pattern Recognit. Lett. 34 (9) (2013)
Zhizheng Liang, Shixiong Xia, Yong Zhou, Lei Zhang
Training Lp norm multiple kernel learning in the primal. Neural Networks 46 (2013)
Zhizheng Liang, Shixiong Xia, Yong Zhou
Normalized discriminant analysis for dimensionality reduction. Neurocomputing 110 (2013)
Zhizheng Liang, Youfu Li, Shixiong Xia
Adaptive weighted learning for linear regression problems via Kullback-Leibler divergence. Pattern Recognit. 46 (4) (2013)
Jin Liu, Qianping Wang, Zhizheng Liang, Wei Chen
Time-Varying Distributed Resource Allocation Based on Thermal Minority Game. IScIDE (2013)
Zhizheng Liang, Youfu Li
Beltrami flow in Hilbert space with applications to image denoising. J. Electronic Imaging 21 (4) (2012)
Zhizheng Liang, Shixiong Xia, Yong Zhou, Youfu Li
Blockwise projection matrix versus blockwise data on undersampled problems: Analysis, comparison and applications. Pattern Recognit. 44 (10-11) (2011)
Zhizheng Liang, Youfu Li
A regularization framework for robust dimensionality reduction with applications to image reconstruction and feature extraction. Pattern Recognit. 43 (4) (2010)
Zhizheng Liang, Youfu Li, Tuo Zhao
Projected gradient method for kernel discriminant nonnegative matrix factorization and the applications. Signal Process. 90 (7) (2010)
Zhizheng Liang, Youfu Li
Incremental support vector machine learning in the primal and applications. Neurocomputing 72 (10-12) (2009)
Zhizheng Liang, Youfu Li, Pengfei Shi
A note on two-dimensional linear discriminant analysis. Pattern Recognit. Lett. 29 (16) (2008)
Tuo Zhao, Zhizheng Liang, David Zhang, Quan Zou
Interest filter vs. interest operator: Face recognition using Fisher linear discriminant based on interest filter representation. Pattern Recognit. Lett. 29 (13) (2008)
Tuo Zhao, Zhizheng Liang, David Zhang, Yahui Liu
A Novel Null Space-Based Kernel Discriminant Analysis for Face Recognition. ICB (2007)
Zhizheng Liang, David Zhang, Pengfei Shi
The theoretical analysis of GLRAM and its applications. Pattern Recognit. 40 (3) (2007)
Zhizheng Liang, David Zhang, Pengfei Shi
Robust kernel discriminant analysis and its application to feature extraction and recognition. Neurocomputing 69 (7-9) (2006)
Zhizheng Liang
High-dimensional discriminant analysis and its application to color face images. ICPR (2) (2006)
Zhizheng Liang, Tuo Zhao
Feature selection for linear support vector machines. ICPR (2) (2006)
Zhizheng Liang, Pengfei Shi, David Zhang
Two-Dimensional Fisher Discriminant Analysis and Its Application to Face Recognition. ACCV (1) (2006)
Zhizheng Liang, Pengfei Shi
Uncorrelated discriminant vectors using a kernel method. Pattern Recognit. 38 (2) (2005)
Zhizheng Liang, Pengfei Shi
Kernel direct discriminant analysis and its theoretical foundatio. Pattern Recognit. 38 (3) (2005)
Zhizheng Liang, Pengfei Shi
An analytical algorithm for generalized low-rank approximations of matrices. Pattern Recognit. 38 (11) (2005)
Zhizheng Liang, Pengfei Shi
A metasynthetic approach for segmenting handwritten Chinese character strings. Pattern Recognit. Lett. 26 (10) (2005)
Zhizheng Liang, Pengfei Shi
An efficient and effective method to solve kernel Fisher discriminant analysis. Neurocomputing 61 (2004)
Zhizheng Liang, Pengfei Shi
Similarity measures on intuitionistic fuzzy sets. Pattern Recognit. Lett. 24 (15) (2003)