Zhangjing Yang

Orcid: 0000-0003-4849-7899

According to our database1, Zhangjing Yang authored at least 49 papers between 2012 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

On csauthors.net:

Bibliography

2025
Triple Sparse Denoising Discriminantive Least Squares Regression for image classification.
Inf. Process. Manag., 2025

2024
Tensor Low-Rank Graph Embedding and Learning for One-Step Incomplete Multi-View Clustering.
IEEE Trans. Multim., 2024

INCOMPLETE multi-view clustering based on low-rank adaptive graph learning.
Knowl. Based Syst., 2024

Cascaded maximum median-margin discriminant projection with its application to face recognition.
Inf. Sci., 2024

Regularisation constrained denoising discriminant least squares regression for image classification.
Expert Syst. Appl., 2024

Global context aware dual channel pyramid model for robust image shadow removal.
Eng. Appl. Artif. Intell., 2024

PM-VIS+: High-Performance Video Instance Segmentation without Video Annotation.
CoRR, 2024

PM-VIS: High-Performance Box-Supervised Video Instance Segmentation.
CoRR, 2024

2023
Two phase representation discriminant projection for face recognition.
Comput. Electr. Eng., December, 2023

Double constrained discriminative least squares regression for image classification.
Inf. Sci., November, 2023

Robust latent nonnegative matrix factorization with automatic sparse reconstruction for unsupervised feature extraction.
Inf. Sci., November, 2023

Structure preserving projections learning via low-rank embedding for image classification.
Inf. Sci., November, 2023

Double truncated nuclear norm-based matrix decomposition with application to background modeling.
J. Ambient Intell. Humaniz. Comput., 2023

2022
Adaptive Temporal-Frequency Network for Time-Series Forecasting.
IEEE Trans. Knowl. Data Eng., 2022

Orthogonal autoencoder regression for image classification.
Inf. Sci., 2022

Denoising Low-Rank Discrimination based Least Squares Regression for image classification.
Inf. Sci., 2022

Dual collaborative representation based discriminant projection for face recognition.
Comput. Electr. Eng., 2022

2021
Triple-Regularized Latent Subspace Discriminative Regression for Hyperspectral Image Classification.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021

Segmentation of Brain MR Image Using Modified Student's t-Mixture Model.
J. Medical Imaging Health Informatics, 2021

Double L<sub>2, p</sub>-norm based PCA for feature extraction.
Inf. Sci., 2021

Sparse Graph Embedding Based on the Fuzzy Set for Image Classification.
Complex., 2021

Local median based linear regression classification for biometric recognition.
Comput. Electr. Eng., 2021

2020
Multitask Multisource Deep Correlation Filter for Remote Sensing Data Fusion.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2020

Improved multi-view GEPSVM via Inter-View Difference Maximization and Intra-view Agreement Minimization.
Neural Networks, 2020

Robust discriminant feature selection via joint L2, 1-norm distance minimization and maximization.
Knowl. Based Syst., 2020

Salient object detection via two-stage absorbing Markov chain based on background and foreground.
J. Vis. Commun. Image Represent., 2020

SVDTWDD Method for High Correct Recognition Rate Classifier With Appropriate Rejection Recognition Regions.
IEEE Access, 2020

Hyperspectral Image Restoration for Non-additive Noise.
Proceedings of the Pattern Recognition and Computer Vision, Third Chinese Conference, 2020

2019
Flexible non-greedy discriminant subspace feature extraction.
Neural Networks, 2019

Discriminant maximum margin projections for face recognition.
Multim. Tools Appl., 2019

2018
Unsupervised multi-manifold linear differential projection(UMLDP) for face recognition.
Multim. Tools Appl., 2018

Local descriptor margin projections (LDMP) for face recognition.
Int. J. Mach. Learn. Cybern., 2018

Matrix completion via capped nuclear norm.
IET Image Process., 2018

Robust Recovery of Corrupted Image Data Based on L<sub>1-2</sub> Metric.
IEEE Access, 2018

2017
Two-dimensional discriminant locality preserving projections (2DDLPP) and its application to feature extraction via fuzzy set.
Multim. Tools Appl., 2017

Local graph embedding based on maximum margin criterion via fuzzy set.
Fuzzy Sets Syst., 2017

Fuzzy Linear Regression Discriminant Projection for Face Recognition.
IEEE Access, 2017

Truncated Nuclear Norm Based Low Rank Embedding.
Proceedings of the Biometric Recognition - 12th Chinese Conference, 2017

Robust Principal Component Analysis Based on L1-2 Metric.
Proceedings of the 4th IAPR Asian Conference on Pattern Recognition, 2017

2016
Local and global regularized sparse coding for data representation.
Neurocomputing, 2016

Adaptive linear discriminant regression classification for face recognition.
Digit. Signal Process., 2016

Facial Emotion Recognition Based on Biorthogonal Wavelet Entropy, Fuzzy Support Vector Machine, and Stratified Cross Validation.
IEEE Access, 2016

2015
Fuzzy local discriminant embedding for image feature extraction.
Comput. Electr. Eng., 2015

2014
Local maximal margin discriminant embedding for face recognition.
J. Vis. Commun. Image Represent., 2014

Histogram of visual words based on locally adaptive regression kernels descriptors for image feature extraction.
Neurocomputing, 2014

Feature extraction using local structure preserving discriminant analysis.
Neurocomputing, 2014

Discriminant similarity and variance preserving projection for feature extraction.
Neurocomputing, 2014

2013
Membership-Degree Preserving Discriminant Analysis with Applications to Face Recognition.
Comput. Math. Methods Medicine, 2013

2012
Force Work Induced Metric for Face Verification.
Proceedings of the Intelligent Science and Intelligent Data Engineering, 2012


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