Li Zhang

According to our database1, Li Zhang authored at least 81 papers between 2002 and 2019.

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

Timeline

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Bibliography

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

Feature Extraction Based on Support Vector Data Description.
Neural Processing Letters, 2019

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

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

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

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

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

Sparse Auto-encoder with Smoothed l1 Regularization.
Neural Processing Letters, 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

Density-Induced Support Vector Data Description for Fault Detection on Tennessee Eastman Process.
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 Processing, 2017

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

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

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

Supervised sparse neighbourhood preserving embedding.
IET Image Processing, 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 Processing, 2016

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

Joint Label Consistent Dictionary Learning and Adaptive Label Prediction for Semisupervised Machine Fault Classification.
IEEE Trans. Industrial 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.
Journal of Biomedical 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

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

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

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

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

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

Similarity-balanced discriminant neighbor embedding and its application to cancer classification based on gene expression data.
Comp. in Bio. and Med., 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

Similarity learning based on multiple support vector data description.
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

2013
Sparse signal reconstruction using decomposition algorithm.
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.
Biosystems, 2013

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

Cascaded cluster ensembles.
Int. J. Machine Learning & Cybernetics, 2012

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

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

Minimum Span Frequency Assignment Based on a Multiagent Evolutionary Algorithm.
IJSIR, 2011

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

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

Complex-valued support vector classifiers.
Digital Signal Processing, 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.
International Journal on Artificial Intelligence Tools, 2009

Linux kernels as complex networks: A novel method to study evolution.
Proceedings of the 25th IEEE International Conference on Software Maintenance (ICSM 2009), 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.
International Journal on Artificial Intelligence 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.
International Journal of Computational Intelligence and Applications, 2005

2004
Wavelet support vector machine.
IEEE Trans. Systems, Man, and Cybernetics, 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 Recognition, 2002


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