Zhao Zhang

According to our database1, Zhao Zhang authored at least 130 papers between 2011 and 2020.

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Bibliography

2020
Discriminative Fisher Embedding Dictionary Learning Algorithm for Object Recognition.
IEEE Trans. Neural Networks Learn. Syst., 2020

Joint Label Prediction Based Semi-Supervised Adaptive Concept Factorization for Robust Data Representation.
IEEE Trans. Knowl. Data Eng., 2020

Learning Hybrid Representation by Robust Dictionary Learning in Factorized Compressed Space.
IEEE Trans. Image Process., 2020

Zero-VAE-GAN: Generating Unseen Features for Generalized and Transductive Zero-Shot Learning.
IEEE Trans. Image Process., 2020

Self-attention driven adversarial similarity learning network.
Pattern Recognit., 2020

DenseNet with Up-Sampling block for recognizing texts in images.
Neural Computing and Applications, 2020

Unsupervised Vehicle Re-identification with Progressive Adaptation.
CoRR, 2020

Fast Dense Residual Network: Enhancing Global Dense Feature Flow for Text Recognition.
CoRR, 2020

Semi-DerainGAN: A New Semi-supervised Single Image Deraining Network.
CoRR, 2020

Deep Self-representative Concept Factorization Network for Representation Learning.
Proceedings of the 2020 SIAM International Conference on Data Mining, 2020

2019
Nonpeaked Discriminant Analysis for Data Representation.
IEEE Trans. Neural Networks Learn. Syst., 2019

Unsupervised Nonnegative Adaptive Feature Extraction for Data Representation.
IEEE Trans. Knowl. Data Eng., 2019

Robust Subspace Clustering With Compressed Data.
IEEE Trans. Image Process., 2019

Kernel-Induced Label Propagation by Mapping for Semi-Supervised Classification.
IEEE Trans. Big Data, 2019

Multi-view clustering via spectral embedding fusion.
Soft Comput., 2019

Robust auto-weighted projective low-rank and sparse recovery for visual representation.
Neural Networks, 2019

Incremental updating knowledge in neighborhood multigranulation rough sets under dynamic granular structures.
Knowl. Based Syst., 2019

ALG: Adaptive low-rank graph regularization for scalable semi-supervised and unsupervised learning.
Neurocomputing, 2019

Convolutional Dictionary Pair Learning Network for Image Representation Learning.
CoRR, 2019

Fast DenseNet: Towards Efficient and Accurate Text Recognition with Fast Dense Networks.
CoRR, 2019

DerainCycleGAN: An Attention-guided Unsupervised Benchmark for Single Image Deraining and Rainmaking.
CoRR, 2019

Multilayer Collaborative Low-Rank Coding Network for Robust Deep Subspace Discovery.
CoRR, 2019

Fully-Convolutional Intensive Feature Flow Neural Network for Text Recognition.
CoRR, 2019

Deep Self-representative Concept Factorization Network for Representation Learning.
CoRR, 2019

Diversifying Inference Path Selection: Moving-Mobile-Network for Landmark Recognition.
CoRR, 2019

Kernelized Multiview Subspace Analysis by Self-weighted Learning.
CoRR, 2019

Discriminative Local Sparse Representation by Robust Adaptive Dictionary Pair Learning.
CoRR, 2019

Robust Triple-Matrix-Recovery-Based Auto-Weighted Label Propagation for Classification.
CoRR, 2019

Flexible Auto-weighted Local-coordinate Concept Factorization: A Robust Framework for Unsupervised Clustering.
CoRR, 2019

Joint Subspace Recovery and Enhanced Locality Driven Robust Flexible Discriminative Dictionary Learning.
CoRR, 2019

Robust Subspace Discovery by Block-diagonal Adaptive Locality-constrained Representation.
Proceedings of the 27th ACM International Conference on Multimedia, 2019

Scalable Block-Diagonal Locality-Constrained Projective Dictionary Learning.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Learning Structured Twin-Incoherent Twin-Projective Latent Dictionary Pairs for Classification.
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

A Coarse-to-Fine Multi-stream Hybrid Deraining Network for Single Image Deraining.
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

Adaptive Structure-Constrained Robust Latent Low-Rank Coding for Image Recovery.
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

Robust Unsupervised Flexible Auto-weighted Local-coordinate Concept Factorization for Image Clustering.
Proceedings of the IEEE International Conference on Acoustics, 2019

2018
Robust Adaptive Embedded Label Propagation With Weight Learning for Inductive Classification.
IEEE Trans. Neural Networks Learn. Syst., 2018

Jointly Learning Structured Analysis Discriminative Dictionary and Analysis Multiclass Classifier.
IEEE Trans. Neural Networks Learn. Syst., 2018

Semi-supervised local multi-manifold Isomap by linear embedding for feature extraction.
Pattern Recognit., 2018

Feature weight estimation based on dynamic representation and neighbor sparse reconstruction.
Pattern Recognit., 2018

Sparse Auto-encoder with Smoothed l<sub>1</sub> Regularization.
Neural Process. Lett., 2018

Adaptive non-negative projective semi-supervised learning for inductive classification.
Neural Networks, 2018

Lp- and Ls-Norm Distance Based Robust Linear Discriminant Analysis.
Neural Networks, 2018

Lie group impression for deep learning.
Inf. Process. Lett., 2018

Deep learning algorithm with visual impression.
Inf. Process. Lett., 2018

Trace Ratio Criterion based Discriminative Feature Selection via <i>l</i><sub>2, <i>p</i></sub>-norm regularization for supervised learning.
Neurocomputing, 2018

Fast and Robust Subspace Clustering Using Random Projections.
CoRR, 2018

Applying 1-norm SVM with squared loss to gene selection for cancer classification.
Appl. Intell., 2018

Nonlinear feature selection using Gaussian kernel SVM-RFE for fault diagnosis.
Appl. Intell., 2018

Feature clustering based support vector machine recursive feature elimination for gene selection.
Appl. Intell., 2018

Similarity-Adaptive Latent Low-Rank Representation for Robust Data Representation.
Proceedings of the PRICAI 2018: Trends in Artificial Intelligence, 2018

Anchored Projection Based Capped l_2, 1 -Norm Regression for Super-Resolution.
Proceedings of the PRICAI 2018: Trends in Artificial Intelligence, 2018

Robust Neighborhood Preserving Low-Rank Sparse CNN Features for Classification.
Proceedings of the Advances in Multimedia Information Processing - PCM 2018, 2018

Robust Adaptive Label Propagation by Double Matrix Decomposition.
Proceedings of the 24th International Conference on Pattern Recognition, 2018

Robust Locality-Constrained Label Consistent K-SVD by Joint Sparse Embedding.
Proceedings of the 24th International Conference on Pattern Recognition, 2018

Rotational Invariant Discriminant Subspace Learning For Image Classification.
Proceedings of the 24th International Conference on Pattern Recognition, 2018

Robust Adaptive Low-Rank and Sparse Embedding for Feature Representation.
Proceedings of the 24th International Conference on Pattern Recognition, 2018

Robust Discriminative Projective Dictionary Pair Learning by Adaptive Representations.
Proceedings of the 24th International Conference on Pattern Recognition, 2018

Robust Projective Low-Rank and Sparse Representation by Robust Dictionary Learning.
Proceedings of the 24th International Conference on Pattern Recognition, 2018

A Joint Generative Model for Zero-Shot Learning.
Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018

2017
Robust Neighborhood Preserving Projection by Nuclear/L2, 1-Norm Regularization for Image Feature Extraction.
IEEE Trans. Image Process., 2017

Structured Latent Label Consistent Dictionary Learning for Salient Machine Faults Representation-Based Robust Classification.
IEEE Trans. Ind. Informatics, 2017

Discriminative sparse flexible manifold embedding with novel graph for robust visual representation and label propagation.
Pattern Recognit., 2017

Decision pyramid classifier for face recognition under complex variations using single sample per person.
Pattern Recognit., 2017

Spectral clustering based on similarity and dissimilarity criterion.
Pattern Anal. Appl., 2017

Robust Alternating Low-Rank Representation by joint Lp- and L2, p-norm minimization.
Neural Networks, 2017

Discriminative clustering on manifold for adaptive transductive classification.
Neural Networks, 2017

Projective label propagation by label embedding: A deep label prediction framework for representation and classification.
Knowl. Based Syst., 2017

Robust image recognition by L1-norm twin-projection support vector machine.
Neurocomputing, 2017

Graph based semi-supervised classification via capped l2, 1-norm regularized dictionary learning.
Proceedings of the 15th IEEE International Conference on Industrial Informatics, 2017

Subspace Clustering via Adaptive Low-Rank Model.
Proceedings of the Neural Information Processing - 24th International Conference, 2017

Iterative Local Hyperlinear Learning Based Relief for Feature Weight Estimation.
Proceedings of the Neural Information Processing - 24th International Conference, 2017

Robust Projective Dictionary Learning by Joint Label Embedding and Classification.
Proceedings of the 2017 IEEE International Conference on Data Mining Workshops, 2017

2016
Sparse Codes Auto-Extractor for Classification: A Joint Embedding and Dictionary Learning Framework for Representation.
IEEE Trans. Signal Process., 2016

Can the Virtual Labels Obtained by Traditional LP Approaches Be Well Encoded in WLR?
IEEE Trans. Neural Networks Learn. Syst., 2016

Joint Low-Rank and Sparse Principal Feature Coding for Enhanced Robust Representation and Visual Classification.
IEEE Trans. Image Process., 2016

Joint Label Consistent Dictionary Learning and Adaptive Label Prediction for Semisupervised Machine Fault Classification.
IEEE Trans. Ind. Informatics, 2016

Discriminative Sparse Coding by Nuclear Norm-Driven Semi-Supervised Dictionary Learning.
Proceedings of the Advances in Multimedia Information Processing - PCM 2016, 2016

Transductive Classification by Robust Linear Neighborhood Propagation.
Proceedings of the Advances in Multimedia Information Processing - PCM 2016, 2016

Latent label consistent K-SVD for joint machine faults representation and classification.
Proceedings of the 14th IEEE International Conference on Industrial Informatics, 2016

Joint lp- and l2, p-norm minimization for subspace clustering with outlier pursuit.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Joint nuclear-norm nonlinear Manifold Learning and robust Classification by linear embedding.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Robust L1-norm matrixed locality preserving projection for discriminative subspace learning.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Sparse Auto-encoder with Smoothed l_1 Regularization.
Proceedings of the Neural Information Processing - 23rd International Conference, 2016

Hidden Space Neighbourhood Component Analysis for Cancer Classification.
Proceedings of the Neural Information Processing - 23rd International Conference, 2016

Robust Soft Semi-supervised Discriminant Projection for Feature Learning.
Proceedings of the Neural Information Processing - 23rd International Conference, 2016

Two-Dimensional Soft Linear Discriminant Projection for Robust Image Feature Extraction and Recognition.
Proceedings of the Neural Information Processing - 23rd International Conference, 2016

Semi-supervised Classification by Nuclear-Norm Based Transductive Label Propagation.
Proceedings of the Neural Information Processing - 23rd International Conference, 2016

Nuclear-norm regularized neighborhood preserving projection.
Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

Adaptive Neighborhood Propagation by Joint L2, 1-Norm Regularized Sparse Coding for Representation and Classification.
Proceedings of the IEEE 16th International Conference on Data Mining, 2016

2015
Graph Based Constrained Semi-Supervised Learning Framework via Label Propagation over Adaptive Neighborhood.
IEEE Trans. Knowl. Data Eng., 2015

A Sparse Projection and Low-Rank Recovery Framework for Handwriting Representation and Salient Stroke Feature Extraction.
ACM Trans. Intell. Syst. Technol., 2015

Bilinear Embedding Label Propagation: Towards Scalable Prediction of Image Labels.
IEEE Signal Process. Lett., 2015

Automatic image annotation via compact graph based semi-supervised learning.
Knowl. Based Syst., 2015

Bilinear low-rank coding framework and extension for robust image recovery and feature representation.
Knowl. Based Syst., 2015

Learning from normalized local and global discriminative information for semi-supervised regression and dimensionality reduction.
Inf. Sci., 2015

Simple yet effective color principal and discriminant feature extraction for representing and recognizing color images.
Neurocomputing, 2015

Semi-Supervised Image Classification by Nonnegative Sparse Neighborhood Propagation.
Proceedings of the 5th ACM on International Conference on Multimedia Retrieval, 2015

Semi-supervised label consistent dictionary learning for machine fault classification.
Proceedings of the 13th IEEE International Conference on Industrial Informatics, 2015

A fast approximation algorithm for 1-norm SVM with squared loss.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

L1-Norm Driven Semi-supervised Local Discriminant Projection for Robust Image Representation.
Proceedings of the 27th IEEE International Conference on Tools with Artificial Intelligence, 2015

Projective Label Propagation by Label Embedding.
Proceedings of the Computer Analysis of Images and Patterns, 2015

2014
A general soft label based Linear Discriminant Analysis for semi-supervised dimensionality reduction.
Neural Networks, 2014

Similarity preserving low-rank representation for enhanced data representation and effective subspace learning.
Neural Networks, 2014

Fault diagnosis of rolling element bearings via discriminative subspace learning: Visualization and classification.
Expert Syst. Appl., 2014

Soft label based Linear Discriminant Analysis for image recognition and retrieval.
Comput. Vis. Image Underst., 2014

Label propagation and soft-similarity measure for graph based Constrained Semi-Supervised Learning.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Robust bilinear matrix recovery by Tensor Low-Rank Representation.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Transformed Neighborhood Propagation.
Proceedings of the 22nd International Conference on Pattern Recognition, 2014

2013
Binary- and Multi-class Group Sparse Canonical Correlation Analysis for Feature Extraction and Classification.
IEEE Trans. Knowl. Data Eng., 2013

Trace Ratio Optimization-Based Semi-Supervised Nonlinear Dimensionality Reduction for Marginal Manifold Visualization.
IEEE Trans. Knowl. Data Eng., 2013

Pairwise Sparsity Preserving Embedding for Unsupervised Subspace Learning and Classification.
IEEE Trans. Image Process., 2013

M-Isomap: Orthogonal Constrained Marginal Isomap for Nonlinear Dimensionality Reduction.
IEEE Trans. Cybern., 2013

Semisupervised Multimodal Dimensionality Reduction.
Comput. Intell., 2013

A soft label based linear discriminant analysis for semi-supervised dimensionality reduction.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

Learning from local and global discriminative information for semi-supervised dimensionality reduction.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

ColorPCA: Color principal feature extraction technique for color image reconstruction and recognition.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

Robust image representation and decomposition by Laplacian regularized latent low-rank representation.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

Handwriting representation and recognition through a sparse projection and low-rank recovery framework.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

2012
Random walk-based fuzzy linear discriminant analysis for dimensionality reduction.
Soft Comput., 2012

Trace ratio criterion based generalized discriminative learning for semi-supervised dimensionality reduction.
Pattern Recognit., 2012

Constrained large Margin Local Projection algorithms and extensions for multimodal dimensionality reduction.
Pattern Recognit., 2012

Marginal semi-supervised sub-manifold projections with informative constraints for dimensionality reduction and recognition.
Neural Networks, 2012

Robust linearly optimized discriminant analysis.
Neurocomputing, 2012

Maximum Margin Multisurface Support Tensor Machines with application to image classification and segmentation.
Expert Syst. Appl., 2012

On the theoretical and computational analysis between Trace Ratio LDA and null-space LDA.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

Extracting the informative constraints for semi-supervised marginal projections in multimodal dimensionality reduction.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

On the Theoretical and Computational Analysis between SDA and Lap-LDA.
Proceedings of the IEEE 24th International Conference on Tools with Artificial Intelligence, 2012

2011
Tensor Locally Linear Discriminative Analysis.
IEEE Signal Process. Lett., 2011

ITR-Score algorithm: An efficient Trace ratio criterion based algorithm for supervised dimensionality reduction.
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011


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