Zhao Zhang
According to our database1,
Zhao Zhang
authored at least 130 papers
between 2011 and 2020.
Collaborative distances:
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Homepages:
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at zbmath.org
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at scopus.com
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at orcid.org
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at escience.cn
On csauthors.net:
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
Pattern Recognit., 2020
Neural Computing and Applications, 2020
Fast Dense Residual Network: Enhancing Global Dense Feature Flow for Text Recognition.
CoRR, 2020
Proceedings of the 2020 SIAM International Conference on Data Mining, 2020
2019
IEEE Trans. Neural Networks Learn. Syst., 2019
IEEE Trans. Knowl. Data Eng., 2019
IEEE Trans. Big Data, 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
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
CoRR, 2019
CoRR, 2019
CoRR, 2019
Diversifying Inference Path Selection: Moving-Mobile-Network for Landmark Recognition.
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
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
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019
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
Neural Process. Lett., 2018
Adaptive non-negative projective semi-supervised learning for inductive classification.
Neural Networks, 2018
Neural Networks, 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
Appl. Intell., 2018
Appl. Intell., 2018
Feature clustering based support vector machine recursive feature elimination for gene selection.
Appl. Intell., 2018
Proceedings of the PRICAI 2018: Trends in Artificial Intelligence, 2018
Proceedings of the PRICAI 2018: Trends in Artificial Intelligence, 2018
Proceedings of the Advances in Multimedia Information Processing - PCM 2018, 2018
Proceedings of the 24th International Conference on Pattern Recognition, 2018
Proceedings of the 24th International Conference on Pattern Recognition, 2018
Proceedings of the 24th International Conference on Pattern Recognition, 2018
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
Proceedings of the 24th International Conference on Pattern Recognition, 2018
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
Pattern Anal. Appl., 2017
Neural Networks, 2017
Neural Networks, 2017
Projective label propagation by label embedding: A deep label prediction framework for representation and classification.
Knowl. Based Syst., 2017
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
Proceedings of the Neural Information Processing - 24th International Conference, 2017
Proceedings of the Neural Information Processing - 24th International Conference, 2017
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
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
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
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
Proceedings of the Neural Information Processing - 23rd International Conference, 2016
Proceedings of the Neural Information Processing - 23rd International Conference, 2016
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
Proceedings of the Neural Information Processing - 23rd International Conference, 2016
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
IEEE Signal Process. Lett., 2015
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
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
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
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
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
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014
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
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
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
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
Proceedings of the IEEE 24th International Conference on Tools with Artificial Intelligence, 2012
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