Zhizheng Liang

49 papers Journal 42Unranked 7
YearRankTypeTitle / Venue / Authors
2025 J jnl
Learning robust discriminant features via correntropy-induced functions: from supervised to unsupervised learning.
Knowl. Inf. Syst.
Zhizheng Liang
2024 J jnl
Erratum to 'L1-norm discriminant analysis via Bhattacharyya error bounds under Laplace distributions' [Pattern Recognition 141 (2023) 109609].
Pattern Recognit.
Zhizheng Liang, Lei Zhang
2024 J jnl
Fuzzy Twin Support Vector Machines With Distribution Inputs.
IEEE Trans. Fuzzy Syst.
Zhizheng Liang, Shifei Ding
2024 J jnl
Robust support function machines for set-valued data classification.
Int. J. Approx. Reason.
Zhizheng Liang, Yuhan Min
2023 J jnl
L1-norm discriminant analysis via Bhattacharyya error bounds under Laplace distributions.
Pattern Recognit.
Zhizheng Liang, Lei Zhang
2022 J jnl
Exploring Complex Dependencies for Multi-modal Semantic Trajectory Prediction.
Neural Process. Lett.
Jie Liu, Lei Zhang, Shaojie Zhu, Bailong Liu, Zhizheng Liang, Susong Yang
2022 J jnl
Intuitionistic fuzzy twin support vector machines with the insensitive pinball loss.
Appl. Soft Comput.
Zhizheng Liang, Lei Zhang
2022 J jnl
Uncertainty-aware twin support vector machines.
Pattern Recognit.
Zhizheng Liang, Lei Zhang
2021 J jnl
Combined embedding model for MiRNA-disease association prediction.
BMC Bioinform.
Bailong Liu, Xiaoyan Zhu, Lei Zhang, Zhizheng Liang, Zhengwei Li
2021 J jnl
Support vector machines with the ε-insensitive pinball loss function for uncertain data classification.
Neurocomputing
Zhizheng Liang, Lei Zhang
2020 J jnl
Adaptively weighted learning for twin support vector machines via Bregman divergences.
Neural Comput. Appl.
Zhizheng Liang, Lei Zhang, Jin Liu, Yong Zhou
2020 J jnl
Correlation classifiers based on data perturbation: New formulations and algorithms.
Pattern Recognit.
Zhizheng Liang, Xue-wen Chen, Lei Zhang, Jin Liu, Yong Zhou
2020 J jnl
Locality preserving difference component analysis based on the Lq norm.
Pattern Anal. Appl.
Zhizheng Liang, Xue-wen Chen, Lei Zhang, Jin Liu, Yong Zhou
2020 J jnl
Robust Two-Dimensional Linear Discriminant Analysis via Information Divergence.
Neural Process. Lett.
Lei Zhang, Zhizheng Liang
2018 J jnl
Fast Time-Aware Sparse Trajectories Prediction with Tensor Factorization.
IEICE Trans. Inf. Syst.
Lei Zhang, Qingfu Fan, Guoxing Zhang, Zhizheng Liang
2018 J jnl
Fuzzy mixed-prototype clustering algorithm for microarray data analysis.
Neurocomputing
Jin Liu, Tuan D. Pham, Hong Yan, Zhizheng Liang
2018 J jnl
Matrix-based subspace analysis with the general norm for image feature extraction.
Pattern Anal. Appl.
Zhizheng Liang
2018 J jnl
Predicting Taxi Destination by Regularized RNN with SDZ.
IEICE Trans. Inf. Syst.
Lei Zhang, Guoxing Zhang, Zhizheng Liang, Qingfu Fan, Yadong Li
2017 J jnl
A novel total variation model based on kernel functions and its application.
CoRR
Zhizheng Liang, Lei Zhang, Jin Liu, Yong Zhou
2016 J jnl
A Complete Subspace Analysis of Linear Discriminant Analysis and Its Robust Implementation.
J. Electr. Comput. Eng.
Zhicheng Lu, Zhizheng Liang
2016 J jnl
Improving Face Image Representation Using Tangent Vectors and the L1 Norm.
IEICE Trans. Fundam. Electron. Commun. Comput. Sci.
Zhicheng Lu, Zhizheng Liang, Lei Zhang, Jin Liu, Yong Zhou
2015 J jnl
A Novel Multiple Kernel Learning Method Based on the Kullback-Leibler Divergence.
Neural Process. Lett.
Zhizheng Liang, Lei Zhang, Jin Liu
2014 J jnl
Efficient Feature Scaling for Support Vector Machines with a Quadratic Kernel.
Neural Process. Lett.
Zhizheng Liang, Ning Liu
2013 — conf
A Fuzzy Mix-Prototype Clustering Algorithm for Leukemia Data Analysis.
IScIDE
Jin Liu, Qianping Wang, Zhizheng Liang, Wei Chen
2013 — conf
A Majorization-Minimization Approach to Lq Norm Multiple Kernel Learning.
ACPR
Zhizheng Liang, Shixiong Xia, Jin Liu, Yong Zhou, Lei Zhang
2013 J jnl
Adaptive weighted learning for linear regression problems via Kullback-Leibler divergence.
Pattern Recognit.
Zhizheng Liang, Youfu Li, Shixiong Xia
2013 J jnl
Feature extraction based on Lp-norm generalized principal component analysis.
Pattern Recognit. Lett.
Zhizheng Liang, Shixiong Xia, Yong Zhou, Lei Zhang, Youfu Li
2013 J jnl
Normalized discriminant analysis for dimensionality reduction.
Neurocomputing
Zhizheng Liang, Shixiong Xia, Yong Zhou
2013 — conf
Time-Varying Distributed Resource Allocation Based on Thermal Minority Game.
IScIDE
Jin Liu, Qianping Wang, Zhizheng Liang, Wei Chen
2013 J jnl
Training Lp norm multiple kernel learning in the primal.
Neural Networks
Zhizheng Liang, Shixiong Xia, Yong Zhou, Lei Zhang
2012 J jnl
Beltrami flow in Hilbert space with applications to image denoising.
J. Electronic Imaging
Zhizheng Liang, Youfu Li
2011 J jnl
Blockwise projection matrix versus blockwise data on undersampled problems: Analysis, comparison and applications.
Pattern Recognit.
Zhizheng Liang, Shixiong Xia, Yong Zhou, Youfu Li
2010 J jnl
A regularization framework for robust dimensionality reduction with applications to image reconstruction and feature extraction.
Pattern Recognit.
Zhizheng Liang, Youfu Li
2010 J jnl
Projected gradient method for kernel discriminant nonnegative matrix factorization and the applications.
Signal Process.
Zhizheng Liang, Youfu Li, Tuo Zhao
2009 J jnl
Incremental support vector machine learning in the primal and applications.
Neurocomputing
Zhizheng Liang, Youfu Li
2008 J jnl
A note on two-dimensional linear discriminant analysis.
Pattern Recognit. Lett.
Zhizheng Liang, Youfu Li, Pengfei Shi
2008 J jnl
Interest filter vs. interest operator: Face recognition using Fisher linear discriminant based on interest filter representation.
Pattern Recognit. Lett.
Tuo Zhao, Zhizheng Liang, David Zhang, Quan Zou
2007 — conf
A Novel Null Space-Based Kernel Discriminant Analysis for Face Recognition.
ICB
Tuo Zhao, Zhizheng Liang, David Zhang, Yahui Liu
2007 J jnl
The theoretical analysis of GLRAM and its applications.
Pattern Recognit.
Zhizheng Liang, David Zhang, Pengfei Shi
2006 — conf
Feature selection for linear support vector machines.
ICPR (2)
Zhizheng Liang, Tuo Zhao
2006 — conf
High-dimensional discriminant analysis and its application to color face images.
ICPR (2)
Zhizheng Liang
2006 J jnl
Robust kernel discriminant analysis and its application to feature extraction and recognition.
Neurocomputing
Zhizheng Liang, David Zhang, Pengfei Shi
2006 — conf
Two-Dimensional Fisher Discriminant Analysis and Its Application to Face Recognition.
ACCV (1)
Zhizheng Liang, Pengfei Shi, David Zhang
2005 J jnl
A metasynthetic approach for segmenting handwritten Chinese character strings.
Pattern Recognit. Lett.
Zhizheng Liang, Pengfei Shi
2005 J jnl
An analytical algorithm for generalized low-rank approximations of matrices.
Pattern Recognit.
Zhizheng Liang, Pengfei Shi
2005 J jnl
Kernel direct discriminant analysis and its theoretical foundatio.
Pattern Recognit.
Zhizheng Liang, Pengfei Shi
2005 J jnl
Uncorrelated discriminant vectors using a kernel method.
Pattern Recognit.
Zhizheng Liang, Pengfei Shi
2004 J jnl
An efficient and effective method to solve kernel Fisher discriminant analysis.
Neurocomputing
Zhizheng Liang, Pengfei Shi
2003 J jnl
Similarity measures on intuitionistic fuzzy sets.
Pattern Recognit. Lett.
Zhizheng Liang, Pengfei Shi