Jianzhong Wang

发表

A Novel Approach for Face Recognition Based on Supervised Locality Preserving Projection and Maximum Margin Criterion

J. Kong, Shuyan Wang, Jianzhong Wang, 2009, 2009 International Conference on Computer Engineering and Technology.

Prediction for Rational Synthesis Based on Weighted Feature Selection Method

Jianzhong Wang, Jun Kong, Miao Qi, 2013, Molecular informatics.

Deep sparse autoencoder integrated with three‐stage framework for glaucoma diagnosis

Yugen Yi, Wei Guo, Zhaoxuan Gong, 2022, Int. J. Intell. Syst..

Multi-Scale Frequency Separation Network for Image Deblurring

Miao Qi, J. Kong, Jianzhong Wang, 2022, IEEE Transactions on Circuits and Systems for Video Technology.

Semi-Supervised Learning in the Framework of Data Multiple 1-D Representation

Jianzhong Wang, 2016 .

SDNMF: Semisupervised discriminative nonnegative matrix factorization for feature learning

Yugen Yi, Jianzhong Wang, Wenle Wang, 2022, Int. J. Intell. Syst..

MCF-Net: Fusion Network of Facial and Scene Features for Expression Recognition in the Wild

Jianzhong Wang, Hui Xu, Jun Kong, 2022, Applied Sciences.

A Novel Approach for Adaptive Unsupervised Segmentation of MRI Brain Images

Jianzhong Wang, Jun Kong, Yinghua Lu, 2005, MICAI.

Fused Group Lasso Regularized Multi-Task Feature Learning and Its Application to the Cognitive Performance Prediction of Alzheimer’s Disease

Jianzhong Wang, Jun Kong, Dazhe Zhao, 2018, Neuroinformatics.

Label propagation based semi-supervised non-negative matrix factorization for feature extraction

Jianzhong Wang, Jun Kong, Yugen Yi, 2015, Neurocomputing.

Object Detection Based on Multiple Information Fusion Net

Miao Qi, Yunpeng Liu, Jun Kong, 2020, Applied Sciences.

Low-rank graph optimization for multi-view dimensionality reduction

Jun Kong, Wei Gao, Jianzhong Wang, 2019, PloS one.

Dimensionality Reduction via Multiple Locality-Constrained Graph Optimization

Chao Bi, Jianzhong Wang, Jun Kong, 2018, IEEE Access.

A Lightweight Fusion Distillation Network for Image Deblurring and Deraining

Miao Qi, Jun Kong, Hui Xu, 2021, Sensors.

Scene Recognition via Semi-Supervised Multi-Feature Regression

Yugen Yi, Yinghua Lu, Chong Liu, 2019, IEEE Access.

Group Guided Fused Laplacian Sparse Group Lasso for Modeling Alzheimer's Disease Progression

Jun Kong, Xiaoli Liu, Jianzhong Wang, 2020, Comput. Math. Methods Medicine.

Fused Group Lasso Regularized Multi-Task Feature Learning and Its Application to the Cognitive Performance Prediction of Alzheimer’s Disease

Dazhe Zhao, J. Kong, Jianzhong Wang, 2018, Neuroinformatics.

Locality Constrained Joint Dynamic Sparse Representation for Local Matching Based Face Recognition

Ming Zhang, Miao Qi, Baoxue Zhang, 2014, PloS one.

A novel approach for segmentation of MRI brain images

Jun Kong, Yinghua Lu, Baoxue Zhang, 2006, MELECON 2006 - 2006 IEEE Mediterranean Electrotechnical Conference.

Non-Negative Matrix Factorization With Locality Constrained Adaptive Graph

Shaojie Qiao, Wei Zhou, Jianzhong Wang, 2020, IEEE Transactions on Circuits and Systems for Video Technology.

A Modified FCM Algorithm for MRI Brain Image Segmentation

Miao Qi, Yinghua Lu, Baoxue Zhang, 2008, 2008 International Seminar on Future BioMedical Information Engineering.

A novel image retrieval method based on hybrid information descriptors

Jianzhong Wang, Jun Kong, Ke Zhang, 2014, J. Vis. Commun. Image Represent..

Local-based Fuzzy Clustering Algorithm for Magnetic ResonanceBrain Images Corrupted by Intensity Heterogeneity

Jianzhong Wang, Jun Kong, Yinghua Lu, 2007, Second International Multi-Symposiums on Computer and Computational Sciences (IMSCCS 2007).

Unsupervised feature selection by regularized matrix factorization

Jianzhong Wang, Ting Wang, Miao Qi, 2018, Neurocomputing.

RRNMF-MAGL: Robust regularization non-negative matrix factorization with multi-constraint adaptive graph learning for dimensionality reduction

Yugen Yi, Jianzhong Wang, Jiangyan Dai, 2023, Inf. Sci..

AlPOs Synthetic Factor Analysis Based on Maximum Weight and Minimum Redundancy Feature Selection

Miao Qi, Na Gao, Jianzhong Wang, 2013, International journal of molecular sciences.

Supervised Filter Learning for Representation Based Face Recognition

Chao Bi, Miao Qi, Baoxue Zhang, 2016, PloS one.

Semi-supervised local ridge regression for local matching based face recognition

Chao Bi, Jianzhong Wang, Jun Kong, 2015, Neurocomputing.

An Intelligent Multi-View Active Learning Method Based on a Double-Branch Network

Miao Qi, Xiaoli Liu, Jun Kong, 2020, Entropy.

Local-based fuzzy clustering for segmentation of MR brain images

Jianzhong Wang, Jun Kong, Di Liu, 2008, 2008 8th IEEE International Conference on BioInformatics and BioEngineering.

Joint graph optimization and projection learning for dimensionality reduction

Jun Kong, Yinghua Lu, Yugen Yi, 2019, Pattern Recognit..

Joint L2,1 Norm and Fisher Discrimination Constrained Feature Selection for Rational Synthesis of Microporous Aluminophosphates

Jianzhong Wang, Jun Kong, Miao Qi, 2017, Molecular informatics.

Computational prediction of the formation of microporous aluminophosphates with desired structural features

Jun Kong, Miao Qi, Jihong Yu, 2010 .

Adaptively Weighted Structure Preserved Projections for Face Recognition

Jianzhong Wang, Guoliang Luo, Yugen Yi, 2016, CCPR.

Face recognition using spatially smoothed discriminant structure-preserved projections

Jianzhong Wang, Jun Kong, Yugen Yi, 2014, J. Electronic Imaging.

A structure-preserved local matching approach for face recognition

Jianzhong Wang, Jun Kong, Miao Qi, 2011, Pattern Recognit. Lett..

An adaptively weighted sub-pattern locality preserving projection for face recognition

Jianzhong Wang, Jun Kong, Miao Qi, 2010, J. Netw. Comput. Appl..

Adaptive Attention Memory Graph Convolutional Networks for Skeleton-Based Action Recognition

Miao Qi, J. Kong, Jianzhong Wang, 2021, Sensors.

An Improved Feature Selection Based on Effective Range for Classification

Jianzhong Wang, Jun Kong, Shuang Zhou, 2014, TheScientificWorldJournal.

Depth-Wise Separable Convolution Attention Module for Garbage Image Classification

Miao Qi, J. Kong, Jianzhong Wang, 2022, Sustainability.

Dimensionality reduction via representation and affinity learning

Jianzhong Wang, Miao Qi, Lin Yang, 2017, 2017 4th International Conference on Systems and Informatics (ICSAI).

Adaptive multiple graph regularized semi-supervised extreme learning machine

Jianzhong Wang, Shaojie Qiao, Yugen Yi, 2018, Soft Comput..

RMFRASL: Robust Matrix Factorization with Robust Adaptive Structure Learning for Feature Selection

P. Li, Yugen Yi, Jianzhong Wang, 2022, Algorithms.

Joint feature representation and classification via adaptive graph semi-supervised nonnegative matrix factorization

Yuqi Chen, Gang Lei, Yugen Yi, 2020, Signal Process. Image Commun..

Robust and accurate moving shadow detection based on multiple features fusion

Jun Kong, Jiangyan Dai, Jianzhong Wang, 2013 .

Multicriteria-Based Active Discriminative Dictionary Learning for Scene Recognition

Chao Bi, Jianzhong Wang, Jun Kong, 2018, IEEE Access.

Maximum weight and minimum redundancy: A novel framework for feature subset selection

Jianzhong Wang, Jun Kong, Yuxin Li, 2013, Pattern Recognit..

Jointly Learning the Discriminative Dictionary and Projection for Face Recognition

Yan Wu, Chao Bi, Yanjiao Shi, 2020 .

Unsupervised Feature Selection with Graph Regularized Nonnegative Self-representation

Jianzhong Wang, Yugen Yi, Yuanlong Cao, 2016, CCBR.

Prediction of Microporous Aluminophosphate AlPO4‐5 Based on Resampling Using Partial Least Squares and Logistic Discrimination

Jianzhong Wang, Yinghua Lu, Miao Qi , 2010, Molecular informatics.

Locality constrained Graph Optimization for Dimensionality Reduction

Yang Wang, Jianzhong Wang, Jun Kong, 2017, Neurocomputing.

Missing value estimation for database of aluminophosphate (AlPO) syntheses

Jun Kong, Miao Qi, Yinghua Lu, 2013 .

A Modified Fuzzy Kohonen's Competitive Learning Algorithms Incorporating Local Information for MR Image Segmentation

Jianzhong Wang, Jun Kong, Yinghua Lu, 2007, 2007 IEEE 7th International Symposium on BioInformatics and BioEngineering.

A Fuzzy Kohonen’s Competitive Learning Algorithm for 3D MRI Image Segmentation

Jun Kong, Yinghua Lu, Jingdan Zhang, 2006 .

An improved locality sensitive discriminant analysis approach for feature extraction

Jianzhong Wang, Jun Kong, Yugen Yi, 2013, Multimedia Tools and Applications.