Li Zhang

Orcid: 0000-0001-7914-0679

Affiliations:
  • Soochow University, School of Computer Science and Technology, Laboratory of Machine Learning and Neuromorphic Computing, Suzhou, China
  • Xidian University, Institute of Intelligent Information Processing, Xi'an, China (2005 - 2010)
  • Shanghai Jiao Tong University, Institute of Automation, Shanghai, China (2003 - 2005)
  • Xidian University, Institute of Intelligent Information Processing, Xi'an, China (PhD 2002)


According to our database1, Li Zhang authored at least 185 papers between 2002 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Deep feature network with multi-scale fusion for highly congested crowd counting.
Int. J. Mach. Learn. Cybern., March, 2024

Multi-grained contextual code representation learning for commit message generation.
Inf. Softw. Technol., March, 2024

2023
Reinforced feature selection using Q-learning based on collaborative agents.
Int. J. Mach. Learn. Cybern., November, 2023

Discriminant space metric network for few-shot image classification.
Appl. Intell., July, 2023

Online local fisher risk minimization: a new online kernel method for online classification.
Appl. Intell., July, 2023

L1-norm Laplacian support vector machine for data reduction in semi-supervised learning.
Neural Comput. Appl., June, 2023

Minority-prediction-probability-based oversampling technique for imbalanced learning.
Inf. Sci., April, 2023

Max-difference maximization criterion: a feature selection method for text categorization.
Frontiers Comput. Sci., February, 2023

T<sup>2</sup>CNN: a novel method for crowd counting via two-task convolutional neural network.
Vis. Comput., 2023

Adaptive Multispectral Encoding Network for Image Demoiréing.
IEEE Trans. Instrum. Meas., 2023

Iterative constraint score based on hypothesis margin for semi-supervised feature selection.
Knowl. Based Syst., 2023

Weak Correlation-Based Discriminative Dictionary Learning for Image Classification.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2023

Semi-supervised Multi-class Classification Methods Based on Laplacian Vector Projection.
Proceedings of the International Conference on Neural Computing for Advanced Applications, 2023

Few-Shot Learning via Task-Aware Discriminant Local Descriptors Network.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022
Adaptively local consistent concept factorization for multi-view clustering.
Soft Comput., 2022

Sparse discriminant twin support vector machine for binary classification.
Neural Comput. Appl., 2022

Deeper multi-column dilated convolutional network for congested crowd understanding.
Neural Comput. Appl., 2022

HEp-2 image classification using a multi-class and multiple-binary classifier.
Medical Biol. Eng. Comput., 2022

Multi-order nearest neighbor prediction for recommendation systems.
Digit. Signal Process., 2022

Laplacain Pair-Weight Vector Projection with Adaptive Neighbor Graph for Semi-supervised Learning.
Proceedings of the Neural Computing for Advanced Applications, 2022

Sparse Support Vector Machine with Fisher-Regularizer for Data Reduction.
Proceedings of the International Joint Conference on Neural Networks, 2022

De-redundancy Relative Discrimination Criterion-based Feature Selection for Text Data.
Proceedings of the International Joint Conference on Neural Networks, 2022

DSPOTE: Density-induced Selection Probability-based Oversampling TEchnique for Imbalanced Learning.
Proceedings of the 26th International Conference on Pattern Recognition, 2022

FP60 and FSNet: A Benchmark Dataset and a Family-Species Network for Forestry Pest Recognition.
Proceedings of the 26th International Conference on Pattern Recognition, 2022

Discriminant Variance Criterion for Sentiment Analysis.
Proceedings of the 26th International Conference on Pattern Recognition, 2022

Multi-spectral Dynamic Feature Encoding Network for Image Demoiréing.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2022, 2022

Nantong Blue Calico Image Dataset and Its Recognition.
Proceedings of the IEEE Congress on Evolutionary Computation, 2022

2021
Dissimilarity-based nearest neighbor classifier for single-sample face recognition.
Vis. Comput., 2021

Fast neighbor user searching for neighborhood-based collaborative filtering with hybrid user similarity measures.
Soft Comput., 2021

A recursive feature retention method for semi-supervised feature selection.
Int. J. Mach. Learn. Cybern., 2021

Dynamic dominance-based multigranulation rough sets approaches with evolving ordered data.
Int. J. Mach. Learn. Cybern., 2021

Incremental approaches to update multigranulation approximations for dynamic information systems.
J. Intell. Fuzzy Syst., 2021

CTSVM: A robust twin support vector machine with correntropy-induced loss function for binary classification problems.
Inf. Sci., 2021

Laplacian pair-weight vector projection for semi-supervised learning.
Inf. Sci., 2021

A Survey on Concept Factorization: From Shallow to Deep Representation Learning.
Inf. Process. Manag., 2021

Dual-Constrained Deep Semi-Supervised Coupled Factorization Network with Enriched Prior.
Int. J. Comput. Vis., 2021

Fast Gaussian kernel support vector machine recursive feature elimination algorithm.
Appl. Intell., 2021

Iteratively local fisher score for feature selection.
Appl. Intell., 2021

Iterative rating prediction for neighborhood-based collaborative filtering.
Appl. Intell., 2021

Sample Reduction Using ℓ <sub>1</sub>-Norm Twin Bounded Support Vector Machine.
Proceedings of the Neural Computing for Advanced Applications, 2021

Residual Gated Recurrent Unit-Based Stacked Network for Stock Trend Prediction from Limit Order Book.
Proceedings of the Knowledge Science, Engineering and Management, 2021

Q-Learning with Fisher Score for Feature Selection of Large-Scale Data Sets.
Proceedings of the Knowledge Science, Engineering and Management, 2021

Fisher-regularized Support Vector Machine with Pinball Loss Function.
Proceedings of the International Joint Conference on Neural Networks, 2021

Feature Fusion Learning Based on LSTM and CNN Networks for Trend Analysis of Limit Order Books.
Proceedings of the Neural Information Processing - 28th International Conference, 2021

Partial Feature Aggregation Network for Real-Time Object Counting.
Proceedings of the IEEE International Conference on Acoustics, 2021

Discriminant Mutual Information for Text Feature Selection.
Proceedings of the Database Systems for Advanced Applications, 2021

Partial-Label and Structure-constrained Deep Coupled Factorization Network.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

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

DenseNet with Up-Sampling block for recognizing texts in images.
Neural Comput. Appl., 2020

Mutual-manifold regularized robust fast latent LRR for subspace recovery and learning.
Neural Comput. Appl., 2020

Semi-supervised neighborhood discrimination index for feature selection.
Knowl. Based 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

Incremental updating probabilistic neighborhood three-way regions with time-evolving attributes.
Int. J. Approx. Reason., 2020

A Survey on Concept Factorization: From Shallow to Deep Representation Learning.
CoRR, 2020

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

Semi-supervised Feature Selection Using Sparse Laplacian Support Vector Machine.
Proceedings of the Neural Computing for Advanced Applications, 2020

Reliable Neighbors-Based Collaborative Filtering for Recommendation Systems.
Proceedings of the Neural Computing for Advanced Applications, 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

Feature Selection Using Sparse Twin Bounded Support Vector Machine.
Proceedings of the Neural Information Processing - 27th International Conference, 2020

Data Reduction for Noisy Data Classification Using Semi-supervised Manifold-Preserving Graph Reduction.
Proceedings of the Neural Information Processing - 27th International Conference, 2020

LCNet: A Light-Weight Network for Object Counting.
Proceedings of the Neural Information Processing - 27th International Conference, 2020

Densely Multi-path Network for Single Image Super-Resolution.
Proceedings of the Neural Information Processing - 27th International Conference, 2020

Forward Iterative Feature Selection Based on Laplacian Score.
Proceedings of the Neural Information Processing - 27th International Conference, 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

Unsupervised Dimension Reduction Using Supervised Orthogonal Discriminant Projection for Clustering.
Proceedings of the 21st IEEE International Conference on High Performance Computing and Communications; 17th IEEE International Conference on Smart City; 5th IEEE International Conference on Data Science and Systems, 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

Crowd Counting via Residual Multi-Scale Convolutional Neural Network.
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

Supervised Manifold-Preserving Graph Reduction for Noisy Data Classification.
Proceedings of the Knowledge Science, Engineering and Management, 2018

Nonnegative and Adaptive Multi-view Clustering.
Proceedings of the 24th International Conference on Pattern Recognition, 2018

Multi-Source Clustering based on spectral recovery.
Proceedings of the 24th International Conference on Pattern Recognition, 2018

MSSVT: Multi-scale feature extraction for single face recognition.
Proceedings of the 24th International Conference on Pattern Recognition, 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

Spectral Embedded Clustering on Multi-Manifold.
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

Unsupervised Ensemble Learning Based on Graph Embedding for Image Clustering.
Proceedings of the Neural Information Processing - 25th International Conference, 2018

Cascaded Deep Hashing for Large-Scale Image Retrieval.
Proceedings of the Neural Information Processing - 25th International Conference, 2018

Decision Tree Twin Support Vector Machine Based on Kernel Clustering for Multi-class Classification.
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

Single Sample Face Recognition Based on Global Local Binary Pattern Feature Extraction.
Proceedings of the Neural Information Processing - 24th International Conference, 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

Comparison of auto-encoders with different sparsity regularizers.
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
Solving unbalanced problems in similarity learning using SVM ensemble.
Proceedings of the 2014 International Joint Conference on Neural Networks, 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

High-resolution ranging method based on low-rate parallel random sampling.
Digit. Signal Process., 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

Efficient architecture for adaptive directional lifting-based wavelet transform.
Proceedings of the Visual Communications and Image Processing 2010, 2010

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

2009
An Efficient Folded Architecture for Lifting-Based Discrete Wavelet Transform.
IEEE Trans. Circuits Syst. II Express Briefs, 2009

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

2008
UWB Echo Signal Detection With Ultra-Low Rate Sampling Based on Compressed Sensing.
IEEE Trans. Circuits Syst. II Express Briefs, 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...