Li Zhang

According to our database1, Li Zhang authored at least 109 papers between 2002 and 2020.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

Homepage:

On csauthors.net:

Bibliography

2020
Discriminative Local Sparse Representation by Robust Adaptive Dictionary Pair Learning.
IEEE Trans. Neural Networks Learn. Syst., 2020

A dynamic framework for updating neighborhood multigranulation approximations with the variation of objects.
Inf. Sci., 2020

Local preserving logistic I-Relief for semi-supervised feature selection.
Neurocomputing, 2020

Efficient approaches for maintaining dominance-based multigranulation approximations with incremental granular structures.
Int. J. Approx. Reason., 2020

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

Feature Selection Using Sparse Twin Support Vector Machine with Correntropy-Induced Loss.
Proceedings of the Knowledge Science, Engineering and Management, 2020

Fast Backward Iterative Laplacian Score for Unsupervised Feature Selection.
Proceedings of the Knowledge Science, Engineering and Management, 2020

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

Feature Extraction Based on Support Vector Data Description.
Neural Process. Lett., 2019

Logistic local hyperplane-Relief: A feature weighting method for classification.
Knowl. Based Syst., 2019

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

Sparse modified marginal fisher analysis for facial expression recognition.
Appl. Intell., 2019

Multi-class Semi-supervised Logistic I-RELIEF Feature Selection Based on Nearest Neighbor.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2019

Jaccard Coefficient-Based Bi-clustering and Fusion Recommender System for Solving Data Sparsity.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2019

Subspace Ensemble-Based Neighbor User Searching for Neighborhood-Based Collaborative Filtering.
Proceedings of the Database Systems for Advanced Applications, 2019

Feature Selection Based on the Kullback-Leibler Distance and its Application on Fault Diagnosis.
Proceedings of the Seventh International Conference on Advanced Cloud and Big Data, 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

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

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

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

New fast feature selection methods based on multiple support vector data description.
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

Semi-supervised Feature Selection Based on Logistic I-RELIEF for Multi-classification.
Proceedings of the PRICAI 2018: Trends in Artificial Intelligence, 2018

A Novel Model for Multi-label Image Annotation.
Proceedings of the 24th International Conference on Pattern Recognition, 2018

Graph Embedding-Based Ensemble Learning for Image Clustering.
Proceedings of the 24th International Conference on Pattern Recognition, 2018

Density-Induced Support Vector Data Description for Fault Detection on Tennessee Eastman Process.
Proceedings of the Neural Information Processing - 25th International Conference, 2018

Robust Multi-view Features Fusion Method Based on CNMF.
Proceedings of the Neural Information Processing - 25th International Conference, 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

Supervised orthogonal discriminant projection based on double adjacency graphs for image classification.
IET Image Process., 2017

Supervised sparse neighbourhood preserving embedding.
IET Image Process., 2017

Dissimilarity-Based Sequential Backward Feature Selection Algorithm for Fault Diagnosis.
Proceedings of the Neural Information Processing - 24th International Conference, 2017

An Altered Kernel Transformation for Time Series Classification.
Proceedings of the Neural Information Processing - 24th International Conference, 2017

Low-Frequency Representation for Face Recognition.
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

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

Constrained neighborhood preserving concept factorization for data representation.
Knowl. Based Syst., 2016

SD-MSAEs: Promoter recognition in human genome based on deep feature extraction.
J. Biomed. Informatics, 2016

Fisher-regularized support vector machine.
Inf. Sci., 2016

Semi-supervised concept factorization for document clustering.
Inf. Sci., 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

Time Series Classification Based on Multi-codebook Important Time Subsequence Approximation Algorithm.
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

SAR image target recognition using kernel sparse representation based on reconstruction coefficient energy maximization rule.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

2015
Time series prediction using sparse regression ensemble based on ℓ<sub>2</sub>-ℓ<sub>1</sub> problem.
Soft Comput., 2015

Double adjacency graphs-based discriminant neighborhood embedding.
Pattern Recognit., 2015

Kernel sparse representation-based classifier ensemble for face recognition.
Multim. Tools Appl., 2015

基于类别信息的邻域保持嵌入算法 (Label Information-based Neighborhood Preserving Embedding).
计算机科学, 2015

A fast gene selection method for multi-cancer classification using multiple support vector data description.
J. Biomed. Informatics, 2015

Learning similarity with cosine similarity ensemble.
Inf. Sci., 2015

Orthogonal matching pursuit-based incremental locally linear embedding algorithm.
Int. J. Auton. Adapt. Commun. Syst., 2015

Supervised locally linear embedding algorithm based on orthogonal matching pursuit.
IET Image Process., 2015

Similarity-balanced discriminant neighbor embedding and its application to cancer classification based on gene expression data.
Comput. Biol. Medicine, 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

Filtering SAR imagery for edge detection using support value transform.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

Similarity learning based on multiple support vector data description.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

Multiple SVM-RFE for multi-class gene selection on DNA Microarray data.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

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

2014
Feature ensemble learning based on sparse autoencoders for image classification.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Locally Linear Embedding algorithm based on OMP for incremental learning.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Hidden space discriminant neighborhood embedding.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

A supervised neighborhood preserving embedding for face recognition.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

2013
1-norm support vector novelty detection and its sparseness.
Neural Networks, 2013

Analysis of programming properties and the row-column generation method for 1-norm support vector machines.
Neural Networks, 2013

Sparse signal reconstruction using decomposition algorithm.
Knowl. Based Syst., 2013

A fast algorithm for kernel 1-norm support vector machines.
Knowl. Based Syst., 2013

Iterated time series prediction with multiple support vector regression models.
Neurocomputing, 2013

The stability analysis for a novel feedback neural network with partial connection.
Neurocomputing, 2013

Evolutionary dynamics of continuous strategy games on graphs and social networks under weak selection.
Biosyst., 2013

2012
Kernel Sparse Representation-Based Classifier.
IEEE Trans. Signal Process., 2012

Active learning based on coupled KNN pseudo pruning.
Neural Comput. Appl., 2012

Cascaded cluster ensembles.
Int. J. Mach. Learn. Cybern., 2012

2011
Density-induced margin support vector machines.
Pattern Recognit., 2011

Sparse ensembles using weighted combination methods based on linear programming.
Pattern Recognit., 2011

Minimum Span Frequency Assignment Based on a Multiagent Evolutionary Algorithm.
Int. J. Swarm Intell. Res., 2011

Generalized nonlinear discriminant analysis and its small sample size problems.
Neurocomputing, 2011

Nonlinear Nearest Subspace Classifier.
Proceedings of the Neural Information Processing - 18th International Conference, 2011

2010
On the sparseness of 1-norm support vector machines.
Neural Networks, 2010

Complex-valued support vector classifiers.
Digit. Signal Process., 2010

Multi-Objective Job Shop Scheduling Based on Multiagent Evolutionary Algorithm.
Proceedings of the Simulated Evolution and Learning - 8th International Conference, 2010

2009
Identification and Control of Discrete-Time Nonlinear Systems Using Affine Support Vector Machines.
Int. J. Artif. Intell. Tools, 2009

2008
Generalized Nonlinear Discriminant Analysis.
Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008

Lossy to lossless image compression based on reversible integer DCT.
Proceedings of the International Conference on Image Processing, 2008

2007
Immune memory clonal selection algorithms for designing stack filters.
Neurocomputing, 2007

Decision Tree Support Vector Machine.
Int. J. Artif. Intell. Tools, 2007

2006
Hidden Space Principal Component Analysis.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2006

Support Vector Regression Based on Unconstrained Convex Quadratic Programming.
Proceedings of the Advances in Natural Computation, Second International Conference, 2006

A New Fast Algorithm for Training Large Window Stack Filters.
Proceedings of the Advances in Natural Computation, Second International Conference, 2006

2005
Support Vector Machines Based on the Orthogonal Projection Kernel of Father Wavelet.
Int. J. Comput. Intell. Appl., 2005

2004
Wavelet support vector machine.
IEEE Trans. Syst. Man Cybern. Part B, 2004

Hidden space support vector machines.
IEEE Trans. Neural Networks, 2004

Nonlinear System Identification Based on an Improved Support Vector Regression Estimator.
Proceedings of the Advances in Neural Networks, 2004

2002
Linear programming support vector machines.
Pattern Recognit., 2002


  Loading...