2025
Improving the sparse coding model via hybrid Gaussian priors.
Pattern Recognit., 2025

2024
Toward explainable artificial intelligence: A survey and overview on their intrinsic properties.
Neurocomputing, January, 2024

Deep Cross-View Reconstruction GAN Based on Correlated Subspace for Multi-View Transformation.
IEEE Trans. Image Process., 2024

An elastic competitive and discriminative collaborative representation method for image classification.
Neural Networks, 2024

ShiftMorph: A Fast and Robust Convolutional Neural Network for 3D Deformable Medical Image Registration.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Non-targeted Adversarial Attacks on Object Detection Models.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2024

Window-Based Convolutional Sparse Coding: Towards A Unified Framework.
Proceedings of the IEEE International Conference on Acoustics, 2024

2023
Accurate and Robust Eye Center Localization by Deep Voting.
IEEE Trans. Circuits Syst. Video Technol., August, 2023

Hierarchical neural network with efficient selection inference.
Neural Networks, April, 2023

Learning exclusive discriminative semantic information for zero-shot learning.
Int. J. Mach. Learn. Cybern., March, 2023

Adversarial examples based on object detection tasks: A survey.
Neurocomputing, 2023

Attribute self-representation steered by exclusive lasso for zero-shot learning.
Appl. Intell., 2023

A Multi-granularity Decision Fusion Method Based on Category Hierarchy.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2023

2022
Local spatial continuity steered sparse representation for occluded face recognition.
Multim. Tools Appl., 2022

Deep cross-view autoencoder network for multi-view learning.
Multim. Tools Appl., 2022

Designing efficient convolutional neural network structure: A survey.
Neurocomputing, 2022

Inverse Sparse Object Tracking via Adaptive Representation.
Proceedings of the Intelligent Computing Methodologies - 18th International Conference, 2022

2021
A Lightweight SE-YOLOv3 Network for Multi-Scale Object Detection in Remote Sensing Imagery.
Int. J. Pattern Recognit. Artif. Intell., 2021

IoU-guided Siamese region proposal network for real-time visual tracking.
Neurocomputing, 2021

Symmetrical feature extraction via novel Mirror PCA.
Neurocomputing, 2021

Multi-Stage Liver Segmentation in CT Scans Using Gaussian Pseudo Variance Level Set.
IEEE Access, 2021

A Robust and Automatic Recognition Method of Pointer Instruments in Power System.
Proceedings of the Intelligent Computing Theories and Application, 2021

Exploring Multi-scale Temporal and Spectral CSP Feature for Multi-class Motion Imagination Task Classification.
Proceedings of the Intelligent Computing Theories and Application, 2021

2020
Generalized two-dimensional PCA based on ℓ <sub>2, p</sub>-norm minimization.
Int. J. Mach. Learn. Cybern., 2020

Robust supervised sparse representation for face recognition.
Cogn. Syst. Res., 2020

Review Study of Interpretation Methods for Future Interpretable Machine Learning.
IEEE Access, 2020

SharedNet: A Novel Efficient Convolutional Architecture Based on Group Sharing Convolution.
Proceedings of the Intelligent Computing Theories and Application, 2020

2019
Matrix regression-based classification with block-norm.
Pattern Recognit. Lett., 2019

Principal Component Analysis based on Nuclear norm Minimization.
Neural Networks, 2019

Bilateral structure based matrix regression classification for face recognition.
Neurocomputing, 2019

Principal component analysis based on block-norm minimization.
Appl. Intell., 2019

Mirror PCA: Exploiting Facial Symmetry for Feature Extraction.
Proceedings of the Intelligent Computing Theories and Application, 2019

2018
Pose-robust face recognition with Huffman-LBP enhanced by Divide-and-Rule strategy.
Pattern Recognit., 2018

Sparse factorial code representation using independent component analysis for face recognition.
Multim. Tools Appl., 2018

Matrix Regression-Based Classification for Face Recognition.
Proceedings of the Structural, Syntactic, and Statistical Pattern Recognition, 2018

Robust Face Recognition Based on Supervised Sparse Representation.
Proceedings of the Intelligent Computing Methodologies - 14th International Conference, 2018

2017
Double direction matrix based sparse representation for face recognition.
Proceedings of the International Conference on Security, Pattern Analysis, and Cybernetics, 2017

Adaptive Class Preserving Representation for Image Classification.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Random Feature Discriminant for Linear Representation Based Robust Face Recognition.
Proceedings of the Biometric Recognition - 12th Chinese Conference, 2017

2016
Robust face recognition via sparse boosting representation.
Neurocomputing, 2016

Multi-step linear representation-based classification for face recognition.
IET Comput. Vis., 2016

A Human Visual Experience-Inspired Similarity Metric for Face Recognition Under Occlusion.
Cogn. Comput., 2016

Extraction of Independent Components from Sparse Mixture.
Proceedings of the Intelligent Computing Theories and Application, 2016

2014
A comparative study and improvement of two ICA using reference signal methods.
Neurocomputing, 2014

Optimal representation set construction with a competitive scheme for palmprint and face recognition.
Int. J. Comput. Math., 2014

2013
Using the idea of the sparse representation to perform coarse-to-fine face recognition.
Inf. Sci., 2013

The nearest-farthest subspace classification for face recognition.
Neurocomputing, 2013

Noisy component extraction with reference.
Frontiers Comput. Sci., 2013

Robust PCA based method for discovering differentially expressed genes.
BMC Bioinform., 2013

Sparse Learning for Face Recognition with Social Context.
Proceedings of the Intelligence Science and Big Data Engineering, 2013

2012
A Competitive Sample Selection Method for Palmprint Recognition.
Proceedings of the Intelligent Science and Intelligent Data Engineering, 2012

Identifying Characteristic Genes Based on Robust Principal Component Analysis.
Proceedings of the Emerging Intelligent Computing Technology and Applications, 2012

A Comparative Study of Two Independent Component Analysis Using Reference Signal Methods.
Proceedings of the Emerging Intelligent Computing Technology and Applications, 2012

2011
A New Subspace Approach for Face Recognition.
Proceedings of the Bio-Inspired Computing and Applications, 2011

2010
A Method for ICA with Reference Signals.
Proceedings of the Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence, 2010

2007
A New Constrained Independent Component Analysis Method.
IEEE Trans. Neural Networks, 2007

2004
Image compression using principal component neural network.
Proceedings of the 8th International Conference on Control, 2004