Linear programming support vector machines. - Weida Zhou; Li Zhang 004; Licheng Jiao (Pattern Recognit., 2002)

Nonlinear System Identification Based on an Improved Support Vector Regression Estimator. - Li Zhang 004; Yugeng Xi (ISNN (1), 2004)

Hidden space support vector machines. - Li Zhang 004; Weida Zhou; Licheng Jiao (IEEE Trans. Neural Networks, 2004)

Wavelet support vector machine. - Li Zhang 004; Weida Zhou; Licheng Jiao (IEEE Trans. Syst. Man Cybern. Part B, 2004)

Support Vector Machines Based on the Orthogonal Projection Kernel of Father Wavelet. - Li Zhang 004; Weida Zhou; Licheng Jiao (Int. J. Comput. Intell. Appl., 2005)

A New Fast Algorithm for Training Large Window Stack Filters. - Guangming Shi; Weisheng Dong; Li Zhang 004; Jin Pan (ICNC (2), 2006)

Support Vector Regression Based on Unconstrained Convex Quadratic Programming. - Weida Zhou; Li Zhang 004; Licheng Jiao; Jin Pan (ICNC (1), 2006)

Hidden Space Principal Component Analysis. - Weida Zhou; Li Zhang 004; Licheng Jiao (PAKDD, 2006)

Decision Tree Support Vector Machine. - Li Zhang 004; Weida Zhou; Tian-Tian Su; Licheng Jiao (Int. J. Artif. Intell. Tools, 2007)

Immune memory clonal selection algorithms for designing stack filters. - Weisheng Dong; Guangming Shi; Li Zhang 004 (Neurocomputing, 2007)

Lossy to lossless image compression based on reversible integer DCT. - Lei Wang 018; Jiaji Wu; Licheng Jiao; Li Zhang 004; Guangming Shi (ICIP, 2008)

Generalized Nonlinear Discriminant Analysis. - Li Zhang 004; Weida Zhou; Hua Zhang; Licheng Jiao (ICPR, 2008)

UWB Echo Signal Detection With Ultra-Low Rate Sampling Based on Compressed Sensing. - Guangming Shi; Jie Lin; Xuyang Chen; Fei Qi 001; Danhua Liu; Li Zhang 004 (IEEE Trans. Circuits Syst. II Express Briefs, 2008)

Identification and Control of Discrete-Time Nonlinear Systems Using Affine Support Vector Machines. - Li Zhang 004; Yugeng Xi; Weida Zhou (Int. J. Artif. Intell. Tools, 2009)

An Efficient Folded Architecture for Lifting-Based Discrete Wavelet Transform. - Guangming Shi; Weifeng Liu; Li Zhang 004; Fu Li 002 (IEEE Trans. Circuits Syst. II Express Briefs, 2009)

Multi-Objective Job Shop Scheduling Based on Multiagent Evolutionary Algorithm. - Xinrui Duan; Jing Liu 006; Li Zhang 004; Licheng Jiao (SEAL, 2010)

Efficient architecture for adaptive directional lifting-based wavelet transform. - Zan Yin; Li Zhang 004; Guangming Shi (VCIP, 2010)

Complex-valued support vector classifiers. - Li Zhang 004; Weida Zhou; Licheng Jiao (Digit. Signal Process., 2010)

On the sparseness of 1-norm support vector machines. - Li Zhang 004; Weida Zhou (Neural Networks, 2010)

Nonlinear Nearest Subspace Classifier. - Li Zhang 004; Weida Zhou; Bing Liu (ICONIP (2), 2011)

Generalized nonlinear discriminant analysis and its small sample size problems. - Li Zhang 004; Weida Zhou; Pei-Chann Chang (Neurocomputing, 2011)

Minimum Span Frequency Assignment Based on a Multiagent Evolutionary Algorithm. - Jing Liu 006; Jinshu Li; Weicai Zhong; Li Zhang 004; Ruochen Liu (Int. J. Swarm Intell. Res., 2011)

Sparse ensembles using weighted combination methods based on linear programming. - Li Zhang 004; Weida Zhou (Pattern Recognit., 2011)

Density-induced margin support vector machines. - Li Zhang 004; Weida Zhou (Pattern Recognit., 2011)

High-resolution ranging method based on low-rate parallel random sampling. - Jie Lin; Guangming Shi; Xuyang Chen; Fei Qi 001; Li Zhang 004; Xuemei Xie (Digit. Signal Process., 2012)

Cascaded cluster ensembles. - Li Zhang 004; Xinghong Ling; Ji-Wen Yang; Xiaoqian Wang 009; Fanzhang Li (Int. J. Mach. Learn. Cybern., 2012)

Active learning based on coupled KNN pseudo pruning. - Lin Xiong; Licheng Jiao; Shasha Mao; Li Zhang 004 (Neural Comput. Appl., 2012)

Kernel Sparse Representation-Based Classifier. - Li Zhang 004; Weida Zhou; Pei-Chann Chang; Jing Liu 006; Zhe Yan; Ting Wang; Fanzhang Li (IEEE Trans. Signal Process., 2012)

Evolutionary dynamics of continuous strategy games on graphs and social networks under weak selection. - Weicai Zhong; Jing Liu 006; Li Zhang 004 (Biosyst., 2013)

The stability analysis for a novel feedback neural network with partial connection. - Di-di Wang; Pei-Chann Chang; Li Zhang 004; Jheng-Long Wu; Changle Zhou (Neurocomputing, 2013)

Iterated time series prediction with multiple support vector regression models. - Li Zhang 004; Weida Zhou; Pei-Chann Chang; Ji-Wen Yang; Fanzhang Li (Neurocomputing, 2013)

A fast algorithm for kernel 1-norm support vector machines. - Li Zhang 004; Weida Zhou (Knowl. Based Syst., 2013)

Sparse signal reconstruction using decomposition algorithm. - Li Zhang 004; Weida Zhou; Gui-Rong Chen; Ya-Ping Lu; Fanzhang Li (Knowl. Based Syst., 2013)

Analysis of programming properties and the row-column generation method for 1-norm support vector machines. - Li Zhang 004; Weida Zhou (Neural Networks, 2013)

1-norm support vector novelty detection and its sparseness. - Li Zhang 004; Weida Zhou (Neural Networks, 2013)

A supervised neighborhood preserving embedding for face recognition. - Xing Bao; Li Zhang 004; Bangjun Wang; Ji-Wen Yang (IJCNN, 2014)

Similarity-balanced Discriminant Neighborhood Embedding. - Chuntao Ding; Li Zhang 004; Ya-Ping Lu; Shuping He (IJCNN, 2014)

Hidden space discriminant neighborhood embedding. - Chuntao Ding; Li Zhang 004; Bangjun Wang (IJCNN, 2014)

Locally Linear Embedding algorithm based on OMP for incremental learning. - Yiqin Leng; Li Zhang 004; Jiwen Yang (IJCNN, 2014)

Feature ensemble learning based on sparse autoencoders for image classification. - Ya-Ping Lu; Li Zhang 004; Bangjun Wang; Jiwen Yang (IJCNN, 2014)

Solving unbalanced problems in similarity learning using SVM ensemble. - Peipei Xia; Li Zhang 004 (IJCNN, 2014)

Toward Large-Population Face Identification in Unconstrained Videos. - Luoqi Liu; Li Zhang 004; Hairong Liu; Shuicheng Yan (IEEE Trans. Circuits Syst. Video Technol., 2014)

Projective Label Propagation by Label Embedding. - Zhao Zhang 001; Weiming Jiang; Fanzhang Li; Li Zhang 004; Ming-Bo Zhao; Lei Jia (CAIP (2), 2015)

Multiple SVM-RFE for multi-class gene selection on DNA Microarray data. - Li Zhang 004; Xiaojuan Huang (IJCNN, 2015)

Comparison of auto-encoders with different sparsity regularizers. - Li Zhang 004; Ya-Ping Lu (IJCNN, 2015)

Similarity learning based on multiple support vector data description. - Li Zhang 004; Xingning Lu; Bangjun Wang; Shuping He (IJCNN, 2015)

Filtering SAR imagery for edge detection using support value transform. - Li Zhang 004; Weida Zhou; Bangjun Wang (IJCNN, 2015)

A fast approximation algorithm for 1-norm SVM with squared loss. - Li Zhang 004; Weida Zhou; Zhao Zhang 001; Jiwen Yang (IJCNN, 2015)

Semi-supervised label consistent dictionary learning for machine fault classification. - Weiming Jiang; Zhao Zhang 001; Fanzhang Li; Li Zhang 004; Ming-Bo Zhao (INDIN, 2015)

Semi-Supervised Image Classification by Nonnegative Sparse Neighborhood Propagation. - Zhao Zhang 001; Li Zhang 004; Ming-Bo Zhao; Weiming Jiang; Yuchen Liang; Fanzhang Li (ICMR, 2015)

Similarity-balanced discriminant neighbor embedding and its application to cancer classification based on gene expression data. - Li Zhang 004; Liqiang Qian; Chuntao Ding; Weida Zhou; Fanzhang Li (Comput. Biol. Medicine, 2015)

Supervised locally linear embedding algorithm based on orthogonal matching pursuit. - Li Zhang 004; Yiqin Leng; Jiwen Yang; Fanzhang Li (IET Image Process., 2015)

Orthogonal matching pursuit-based incremental locally linear embedding algorithm. - Yiqin Leng; Li Zhang 004; Jiwen Yang (Int. J. Auton. Adapt. Commun. Syst., 2015)

Learning similarity with cosine similarity ensemble. - Peipei Xia; Li Zhang 004; Fanzhang Li (Inf. Sci., 2015)

A fast gene selection method for multi-cancer classification using multiple support vector data description. - Jin Cao; Li Zhang 004; Bangjun Wang; Fanzhang Li; Jiwen Yang (J. Biomed. Informatics, 2015)

基于类别信息的邻域保持嵌入算法 (Label Information-based Neighborhood Preserving Embedding). - Xing Bao; Li Zhang 004; Mengmeng Zhao; Jiwen Yang (计算机科学, 2015)

Kernel sparse representation-based classifier ensemble for face recognition. - Li Zhang 004; Weida Zhou; Fanzhang Li (Multim. Tools Appl., 2015)

Double adjacency graphs-based discriminant neighborhood embedding. - Chuntao Ding; Li Zhang 004 (Pattern Recognit., 2015)

Time series prediction using sparse regression ensemble based on ℓ2-ℓ1 problem. - Li Zhang 004; Weida Zhou (Soft Comput., 2015)

SAR image target recognition using kernel sparse representation based on reconstruction coefficient energy maximization rule. - Li Zhang 004; Zhiwei Tao; Bangjun Wang (ICASSP, 2016)

Nuclear-norm regularized neighborhood preserving projection. - Zhao Zhang 001; Fanzhang Li; Mingbo Zhao; Li Zhang 004; Shuicheng Yan (ICIP, 2016)

Time Series Classification Based on Multi-codebook Important Time Subsequence Approximation Algorithm. - Zhiwei Tao; Li Zhang 004; Bangjun Wang; Fanzhang Li (ICONIP (4), 2016)

Hidden Space Neighbourhood Component Analysis for Cancer Classification. - Li Zhang 004; Xiaojuan Huang; Bangjun Wang; Fanzhang Li; Zhao Zhang 001 (ICONIP (4), 2016)

Sparse Auto-encoder with Smoothed l_1 Regularization. - Li Zhang 004; Ya-Ping Lu; Zhao Zhang 001; Bangjun Wang; Fanzhang Li (ICONIP (3), 2016)

Semi-supervised concept factorization for document clustering. - Mei Lu; Xiang-Jun Zhao; Li Zhang 004; Fanzhang Li (Inf. Sci., 2016)

Fisher-regularized support vector machine. - Li Zhang 004; Weida Zhou (Inf. Sci., 2016)

SD-MSAEs: Promoter recognition in human genome based on deep feature extraction. - Wenxuan Xu; Li Zhang 004; Ya-Ping Lu (J. Biomed. Informatics, 2016)

Constrained neighborhood preserving concept factorization for data representation. - Mei Lu; Li Zhang 004; Xiang-Jun Zhao; Fanzhang Li (Knowl. Based Syst., 2016)

Joint Label Consistent Dictionary Learning and Adaptive Label Prediction for Semisupervised Machine Fault Classification. - Weiming Jiang; Zhao Zhang 001; Fanzhang Li; Li Zhang 004; Ming-Bo Zhao; Xiaohang Jin (IEEE Trans. Ind. Informatics, 2016)

Joint Low-Rank and Sparse Principal Feature Coding for Enhanced Robust Representation and Visual Classification. - Zhao Zhang 001; Fanzhang Li; Ming-Bo Zhao; Li Zhang 004; Shuicheng Yan (IEEE Trans. Image Process., 2016)

Sparse Codes Auto-Extractor for Classification: A Joint Embedding and Dictionary Learning Framework for Representation. - Zhao Zhang 001; Fanzhang Li; Tommy W. S. Chow; Li Zhang 004; Shuicheng Yan (IEEE Trans. Signal Process., 2016)

Iterative Local Hyperlinear Learning Based Relief for Feature Weight Estimation. - Xiaojuan Huang; Li Zhang 004; Bangjun Wang; Zhao Zhang 001; Fanzhang Li (ICONIP (1), 2017)

Low-Frequency Representation for Face Recognition. - Bangjun Wang; Li Zhang 004; Fanzhang Li (ICONIP (6), 2017)

An Altered Kernel Transformation for Time Series Classification. - Yangtao Xue; Li Zhang 004; Zhiwei Tao; Bangjun Wang; Fanzhang Li (ICONIP (5), 2017)

Dissimilarity-Based Sequential Backward Feature Selection Algorithm for Fault Diagnosis. - Yangtao Xue; Li Zhang 004; Bangjun Wang (ICONIP (4), 2017)

Single Sample Face Recognition Based on Global Local Binary Pattern Feature Extraction. - Meng Zhang; Li Zhang 004; Chengxiang Hu (ICONIP (6), 2017)

Supervised sparse neighbourhood preserving embedding. - Liqiang Qian; Li Zhang 004; Xing Bao; Fanzhang Li; Jiwen Yang (IET Image Process., 2017)

Supervised orthogonal discriminant projection based on double adjacency graphs for image classification. - Bangjun Wang; Li Zhang 004; Fanzhang Li (IET Image Process., 2017)

Projective label propagation by label embedding: A deep label prediction framework for representation and classification. - Zhao Zhang 001; Lei Wang 124; Lei Jia; Fanzhang Li; Li Zhang 004; Mingbo Zhao (Knowl. Based Syst., 2017)

Discriminative clustering on manifold for adaptive transductive classification. - Zhao Zhang 001; Lei Jia; Min Zhang 005; Bing Li 007; Li Zhang 004; Fanzhang Li (Neural Networks, 2017)

Robust Alternating Low-Rank Representation by joint Lp- and L2, p-norm minimization. - Zhao Zhang 001; Mingbo Zhao; Fanzhang Li; Li Zhang 004; Shuicheng Yan (Neural Networks, 2017)

Spectral clustering based on similarity and dissimilarity criterion. - Bangjun Wang; Li Zhang 004; Caili Wu; Fanzhang Li; Zhao Zhang 001 (Pattern Anal. Appl., 2017)

Decision pyramid classifier for face recognition under complex variations using single sample per person. - Tingwei Pei; Li Zhang 004; Bangjun Wang; Fanzhang Li; Zhao Zhang 001 (Pattern Recognit., 2017)

Discriminative sparse flexible manifold embedding with novel graph for robust visual representation and label propagation. - Zhao Zhang 001; Yan Zhang 053; Fanzhang Li; Ming-Bo Zhao; Li Zhang 004; Shuicheng Yan (Pattern Recognit., 2017)

Structured Latent Label Consistent Dictionary Learning for Salient Machine Faults Representation-Based Robust Classification. - Zhao Zhang 001; Weiming Jiang; Fanzhang Li; Mingbo Zhao; Bing Li 007; Li Zhang 004 (IEEE Trans. Ind. Informatics, 2017)

Robust Neighborhood Preserving Projection by Nuclear/L2, 1-Norm Regularization for Image Feature Extraction. - Zhao Zhang 001; Fanzhang Li; Mingbo Zhao; Li Zhang 004; Shuicheng Yan (IEEE Trans. Image Process., 2017)

Decision Tree Twin Support Vector Machine Based on Kernel Clustering for Multi-class Classification. - Qingyun Dou; Li Zhang 004 (ICONIP (4), 2018)

Cascaded Deep Hashing for Large-Scale Image Retrieval. - Jun Lu; Li Zhang 004 (ICONIP (6), 2018)

Unsupervised Ensemble Learning Based on Graph Embedding for Image Clustering. - Xiaohui Luo; Li Zhang 004; Fanzhang Li; Chengxiang Hu (ICONIP (3), 2018)

Robust Multi-view Features Fusion Method Based on CNMF. - Bangjun Wang; Liu Yang; Li Zhang 004; Fanzhang Li (ICONIP (4), 2018)

Density-Induced Support Vector Data Description for Fault Detection on Tennessee Eastman Process. - Yangtao Xue; Li Zhang 004; Bangjun Wang; Baige Tang (ICONIP (4), 2018)

Spectral Embedded Clustering on Multi-Manifold. - Shuning Huang; Li Zhang 004; Fanzhang Li (ICPR, 2018)

Graph Embedding-Based Ensemble Learning for Image Clustering. - Xiaohui Luo; Li Zhang 004; Fanzhang Li; Bangjun Wang (ICPR, 2018)

A Novel Model for Multi-label Image Annotation. - Xin-Jian Wu; Li Zhang 004; Fanzhang Li; Bangjun Wang (ICPR, 2018)

MSSVT: Multi-scale feature extraction for single face recognition. - Xiaoxiang Xu; Li Zhang 004; Fanzhang Li (ICPR, 2018)

Multi-Source Clustering based on spectral recovery. - Hongwei Yin; Fanzhang Li; Li Zhang 004 (ICPR, 2018)

Nonnegative and Adaptive Multi-view Clustering. - Peng Zou; Fanzhang Li; Li Zhang 004 (ICPR, 2018)

Supervised Manifold-Preserving Graph Reduction for Noisy Data Classification. - Zhiqiang Xu; Li Zhang 004 (KSEM (1), 2018)

Semi-supervised Feature Selection Based on Logistic I-RELIEF for Multi-classification. - Baige Tang; Li Zhang 004 (PRICAI (1), 2018)

Feature clustering based support vector machine recursive feature elimination for gene selection. - Xiaojuan Huang; Li Zhang 004; Bangjun Wang; Fanzhang Li; Zhao Zhang 001 (Appl. Intell., 2018)

Nonlinear feature selection using Gaussian kernel SVM-RFE for fault diagnosis. - Yangtao Xue; Li Zhang 004; Bangjun Wang; Zhao Zhang 001; Fanzhang Li (Appl. Intell., 2018)

New fast feature selection methods based on multiple support vector data description. - Li Zhang 004; Xingning Lu (Appl. Intell., 2018)

Applying 1-norm SVM with squared loss to gene selection for cancer classification. - Li Zhang 004; Weida Zhou; Bangjun Wang; Zhao Zhang 001; Fanzhang Li (Appl. Intell., 2018)

Deep learning algorithm with visual impression. - Mengduo Yang; Fanzhang Li; Li Zhang 004; Zhao Zhang 001 (Inf. Process. Lett., 2018)

Lie group impression for deep learning. - Mengduo Yang; Fanzhang Li; Li Zhang 004; Zhao Zhang 001 (Inf. Process. Lett., 2018)

Sparse Auto-encoder with Smoothed l1 Regularization. - Li Zhang 004; Ya-Ping Lu; Bangjun Wang; Fanzhang Li; Zhao Zhang 001 (Neural Process. Lett., 2018)

Feature weight estimation based on dynamic representation and neighbor sparse reconstruction. - Xiaojuan Huang; Li Zhang 004; Bangjun Wang; Zhao Zhang 001; Fanzhang Li (Pattern Recognit., 2018)

Semi-supervised local multi-manifold Isomap by linear embedding for feature extraction. - Yan Zhang 053; Zhao Zhang 001; Jie Qin; Li Zhang 004; Bing Li 007; Fanzhang Li (Pattern Recognit., 2018)

Jointly Learning Structured Analysis Discriminative Dictionary and Analysis Multiclass Classifier. - Zhao Zhang 001; Weiming Jiang; Jie Qin; Li Zhang 004; Fanzhang Li; Min Zhang 005; Shuicheng Yan (IEEE Trans. Neural Networks Learn. Syst., 2018)

Robust Adaptive Embedded Label Propagation With Weight Learning for Inductive Classification. - Zhao Zhang 001; Fanzhang Li; Lei Jia; Jie Qin; Li Zhang 004; Shuicheng Yan (IEEE Trans. Neural Networks Learn. Syst., 2018)

Crowd Counting via Residual Multi-Scale Convolutional Neural Network. - Jingang Lu; Li Zhang 004 (CBD, 2019)

Feature Selection Based on the Kullback-Leibler Distance and its Application on Fault Diagnosis. - Yangtao Xue; Li Zhang 004; Bangjun Wang; Fanzhang Li (CBD, 2019)

Subspace Ensemble-Based Neighbor User Searching for Neighborhood-Based Collaborative Filtering. - Zepeng Li; Li Zhang 004 (DASFAA (2), 2019)

Unsupervised Dimension Reduction Using Supervised Orthogonal Discriminant Projection for Clustering. - Leilei Yan; Li Zhang 004 (HPCC/SmartCity/DSS, 2019)

Jaccard Coefficient-Based Bi-clustering and Fusion Recommender System for Solving Data Sparsity. - Jiangfei Cheng; Li Zhang 004 (PAKDD (2), 2019)

Multi-class Semi-supervised Logistic I-RELIEF Feature Selection Based on Nearest Neighbor. - Baige Tang; Li Zhang 004 (PAKDD (2), 2019)

Sparse modified marginal fisher analysis for facial expression recognition. - Zhe Wang; Li Zhang 004; Bangjun Wang (Appl. Intell., 2019)

Incremental updating knowledge in neighborhood multigranulation rough sets under dynamic granular structures. - Chengxiang Hu; Li Zhang 004; Bangjun Wang; Zhao Zhang 001; Fanzhang Li (Knowl. Based Syst., 2019)

Logistic local hyperplane-Relief: A feature weighting method for classification. - Li Zhang 004; Xiaojuan Huang; Weida Zhou (Knowl. Based Syst., 2019)

Feature Extraction Based on Support Vector Data Description. - Li Zhang 004; Xingning Lu (Neural Process. Lett., 2019)

Multi-view clustering via spectral embedding fusion. - Hongwei Yin; Fanzhang Li; Li Zhang 004; Zhao Zhang 001 (Soft Comput., 2019)

Forward Iterative Feature Selection Based on Laplacian Score. - Qing-Qing Pang; Li Zhang 004 (ICONIP (2), 2020)

Densely Multi-path Network for Single Image Super-Resolution. - Shi Xu; Li Zhang 004 (ICONIP (1), 2020)

LCNet: A Light-Weight Network for Object Counting. - Houshun Yu; Li Zhang 004 (ICONIP (1), 2020)

Data Reduction for Noisy Data Classification Using Semi-supervised Manifold-Preserving Graph Reduction. - Li Zhang 004; Qing-Qing Pang; Zhiqiang Xu; Xiaohan Zheng (ICONIP (5), 2020)

Feature Selection Using Sparse Twin Bounded Support Vector Machine. - Xiaohan Zheng; Li Zhang 004; Leilei Yan (ICONIP (2), 2020)

Fast Backward Iterative Laplacian Score for Unsupervised Feature Selection. - Qing-Qing Pang; Li Zhang 004 (KSEM (1), 2020)

Feature Selection Using Sparse Twin Support Vector Machine with Correntropy-Induced Loss. - Xiaohan Zheng; Li Zhang 004; Leilei Yan (KSEM (1), 2020)

Reliable Neighbors-Based Collaborative Filtering for Recommendation Systems. - Li Zhang 004; Xiaohan Sun; Jiangfei Cheng; Zepeng Li (NCAA, 2020)

Semi-supervised Feature Selection Using Sparse Laplacian Support Vector Machine. - Li Zhang 004; Xiaohan Zheng; Zhiqiang Xu (NCAA, 2020)

Deep Self-representative Concept Factorization Network for Representation Learning. - Yan Zhang 053; Zhao Zhang 001; Zheng Zhang 006; Mingbo Zhao; Li Zhang 004; Zhengjun Zha; Meng Wang 001 (SDM, 2020)

A Survey on Concept Factorization: From Shallow to Deep Representation Learning. - Zhao Zhang 001; Yan Zhang 053; Li Zhang 004; Shuicheng Yan (CoRR, 2020)

Incremental updating probabilistic neighborhood three-way regions with time-evolving attributes. - Chengxiang Hu; Li Zhang 004 (Int. J. Approx. Reason., 2020)

Efficient approaches for maintaining dominance-based multigranulation approximations with incremental granular structures. - Chengxiang Hu; Li Zhang 004 (Int. J. Approx. Reason., 2020)

Local preserving logistic I-Relief for semi-supervised feature selection. - Baige Tang; Li Zhang 004 (Neurocomputing, 2020)

A dynamic framework for updating neighborhood multigranulation approximations with the variation of objects. - Chengxiang Hu; Li Zhang 004 (Inf. Sci., 2020)

Semi-supervised neighborhood discrimination index for feature selection. - Qing-Qing Pang; Li Zhang 004 (Knowl. Based Syst., 2020)

Mutual-manifold regularized robust fast latent LRR for subspace recovery and learning. - Xianzhen Li; Zhao Zhang 001; Li Zhang 004; Meng Wang 001 (Neural Comput. Appl., 2020)

DenseNet with Up-Sampling block for recognizing texts in images. - Zeming Tang; Weiming Jiang; Zhao Zhang 001; Mingbo Zhao; Li Zhang 004; Meng Wang 001 (Neural Comput. Appl., 2020)

Discriminative Local Sparse Representation by Robust Adaptive Dictionary Pair Learning. - Yulin Sun; Zhao Zhang 001; Weiming Jiang; Zheng Zhang 006; Li Zhang 004; Shuicheng Yan; Meng Wang 001 (IEEE Trans. Neural Networks Learn. Syst., 2020)

Partial-Label and Structure-constrained Deep Coupled Factorization Network. - Yan Zhang 053; Zhao Zhang 001; Yang Wang 023; Zheng Zhang 006; Li Zhang 004; Shuicheng Yan; Meng Wang 001 (AAAI, 2021)

Discriminant Mutual Information for Text Feature Selection. - Jiaqi Wang; Li Zhang 004 (DASFAA (2), 2021)

Partial Feature Aggregation Network for Real-Time Object Counting. - Houshun Yu; Li Zhang 004 (ICASSP, 2021)

Feature Fusion Learning Based on LSTM and CNN Networks for Trend Analysis of Limit Order Books. - Xuerui Lv; Li Zhang 004 (ICONIP (4), 2021)

Fisher-regularized Support Vector Machine with Pinball Loss Function. - Zhengqi Zhang; Li Zhang 004; Zhao Zhang 001 (IJCNN, 2021)

Q-Learning with Fisher Score for Feature Selection of Large-Scale Data Sets. - Min Gan; Li Zhang 004 (KSEM, 2021)

Residual Gated Recurrent Unit-Based Stacked Network for Stock Trend Prediction from Limit Order Book. - Xuerui Lv; Li Zhang 004 (KSEM, 2021)

Sample Reduction Using ℓ 1-Norm Twin Bounded Support Vector Machine. - Xiaohan Zheng; Li Zhang 004; Leilei Yan (NCAA, 2021)

Iterative rating prediction for neighborhood-based collaborative filtering. - Li Zhang 004; Zepeng Li; Xiaohan Sun (Appl. Intell., 2021)

Iteratively local fisher score for feature selection. - Min Gan; Li Zhang 004 (Appl. Intell., 2021)

Fast Gaussian kernel support vector machine recursive feature elimination algorithm. - Li Zhang 004; Xiaohan Zheng; Qing-Qing Pang; Weida Zhou (Appl. Intell., 2021)

Dual-Constrained Deep Semi-Supervised Coupled Factorization Network with Enriched Prior. - Yan Zhang 053; Zhao Zhang 001; Yang Wang 023; Zheng Zhang 006; Li Zhang 004; Shuicheng Yan; Meng Wang 001 (Int. J. Comput. Vis., 2021)

A Survey on Concept Factorization: From Shallow to Deep Representation Learning. - Zhao Zhang 001; Yan Zhang 053; Mingliang Xu 001; Li Zhang 004; Yi Yang 001; Shuicheng Yan (Inf. Process. Manag., 2021)

Laplacian pair-weight vector projection for semi-supervised learning. - Yangtao Xue; Li Zhang 004 (Inf. Sci., 2021)

CTSVM: A robust twin support vector machine with correntropy-induced loss function for binary classification problems. - Xiaohan Zheng; Li Zhang 004; Leilei Yan (Inf. Sci., 2021)

Incremental approaches to update multigranulation approximations for dynamic information systems. - Chengxiang Hu; Li Zhang 004; Shixi Liu (J. Intell. Fuzzy Syst., 2021)

Dynamic dominance-based multigranulation rough sets approaches with evolving ordered data. - Chengxiang Hu; Li Zhang 004 (Int. J. Mach. Learn. Cybern., 2021)

A recursive feature retention method for semi-supervised feature selection. - Qing-Qing Pang; Li Zhang 004 (Int. J. Mach. Learn. Cybern., 2021)

Fast neighbor user searching for neighborhood-based collaborative filtering with hybrid user similarity measures. - Zepeng Li; Li Zhang 004 (Soft Comput., 2021)

Dissimilarity-based nearest neighbor classifier for single-sample face recognition. - Zhengqi Zhang; Li Zhang 004; Meng Zhang (Vis. Comput., 2021)

Nantong Blue Calico Image Dataset and Its Recognition. - Xiang Yu; Li Zhang 004; Mei Shen (CEC, 2022)

Multi-spectral Dynamic Feature Encoding Network for Image Demoiréing. - Qiang Dai; Xi Cheng; Li Zhang 004 (ICANN (4), 2022)

Discriminant Variance Criterion for Sentiment Analysis. - Lingbin Jin; Li Zhang 004 (ICPR, 2022)

FP60 and FSNet: A Benchmark Dataset and a Family-Species Network for Forestry Pest Recognition. - Le-Kang Sun; Li Zhang 004; Qiang Dai; Yue-Feng Li (ICPR, 2022)

DSPOTE: Density-induced Selection Probability-based Oversampling TEchnique for Imbalanced Learning. - Zhen Wei; Li Zhang 004; Lei Zhao 001 (ICPR, 2022)

De-redundancy Relative Discrimination Criterion-based Feature Selection for Text Data. - Lingbin Jin; Li Zhang 004 (IJCNN, 2022)

Sparse Support Vector Machine with Fisher-Regularizer for Data Reduction. - Xiaohan Zheng; Li Zhang 004; Zhengqi Zhang (IJCNN, 2022)

Laplacain Pair-Weight Vector Projection with Adaptive Neighbor Graph for Semi-supervised Learning. - Yangtao Xue; Li Zhang 004 (NCAA (1), 2022)

Multi-order nearest neighbor prediction for recommendation systems. - Xiaohan Sun; Li Zhang 004 (Digit. Signal Process., 2022)

HEp-2 image classification using a multi-class and multiple-binary classifier. - Li Zhang 004; Meng-Qian Zhang; Xuerui Lv (Medical Biol. Eng. Comput., 2022)

Deeper multi-column dilated convolutional network for congested crowd understanding. - Leilei Yan; Li Zhang 004; Xiaohan Zheng; Fanzhang Li (Neural Comput. Appl., 2022)

Sparse discriminant twin support vector machine for binary classification. - Xiaohan Zheng; Li Zhang 004; Leilei Yan (Neural Comput. Appl., 2022)

Adaptively local consistent concept factorization for multi-view clustering. - Mei Lu; Li Zhang 004; Fanzhang Li (Soft Comput., 2022)

Few-Shot Learning via Task-Aware Discriminant Local Descriptors Network. - Leilei Yan; Fanzhang Li; Xiaohan Zheng; Li Zhang 004 (CIKM, 2023)

FFTRL: A Sparse Online Kernel Classification Algorithm for Large Scale Data. - Changzhi Su; Li Zhang 004; Lei Zhao 001 (ICANN (1), 2023)

Semi-supervised Multi-class Classification Methods Based on Laplacian Vector Projection. - Yangtao Xue; Li Zhang 004 (NCAA (1), 2023)

Weak Correlation-Based Discriminative Dictionary Learning for Image Classification. - Huangkai Zhang; Li Zhang 004 (PAKDD (1), 2023)

Iterative constraint score based on hypothesis margin for semi-supervised feature selection. - Xinyi Chen; Li Zhang 004; Lei Zhao 001 (Knowl. Based Syst., 2023)

Adaptive Multispectral Encoding Network for Image Demoiréing. - Qiang Dai; Xi Cheng; Li Zhang 004; Le-Kang Sun (IEEE Trans. Instrum. Meas., 2023)

T2CNN: a novel method for crowd counting via two-task convolutional neural network. - Li Zhang 004; Leilei Yan; Mengqian Zhang; Jingang Lu (Vis. Comput., 2023)

Max-difference maximization criterion: a feature selection method for text categorization. - Lingbin Jin; Li Zhang 004; Lei Zhao 001 (Frontiers Comput. Sci., 2023)

Minority-prediction-probability-based oversampling technique for imbalanced learning. - Zhen Wei; Li Zhang 004; Lei Zhao 001 (Inf. Sci., 2023)

Feature selection based on absolute deviation factor for text classification. - Lingbin Jin; Li Zhang 004; Lei Zhao 001 (Inf. Process. Manag., 2023)

L1-norm Laplacian support vector machine for data reduction in semi-supervised learning. - Xiaohan Zheng; Li Zhang 004; Zhiqiang Xu (Neural Comput. Appl., 2023)

Online local fisher risk minimization: a new online kernel method for online classification. - Changzhi Su; Li Zhang 004; Lei Zhao 001 (Appl. Intell., 2023)

Discriminant space metric network for few-shot image classification. - Leilei Yan; Fanzhang Li; Li Zhang 004; Xiaohan Zheng (Appl. Intell., 2023)

Reinforced feature selection using Q-learning based on collaborative agents. - Li Zhang 004; Lingbin Jin; Min Gan; Lei Zhao 001; Hongwei Yin (Int. J. Mach. Learn. Cybern., 2023)

FastGAT: Simple and Efficient Graph Attention Neural Network with Global-Aware Adaptive Computational Node Attention. - Shenzhi Yang; Li Zhang 004; Xiaofang Zhang (ICASSP, 2024)

Local dual-graph discriminant classifier for binary classification. - Xiaohan Zheng; Li Zhang 004; Leilei Yan (Neurocomputing, 2024)

Image denoising using channel attention residual enhanced Swin Transformer. - Qiang Dai; Xi Cheng; Li Zhang 004 (Multim. Tools Appl., 2024)

Adaptive Pair-Weight Vector Projection Classifier for Semi-Supervised Classification. - Yangtao Xue; Li Zhang 004 (IEEE Trans. Consumer Electron., 2024)

Multi-grained contextual code representation learning for commit message generation. - Chuangwei Wang; Li Zhang 004; Xiaofang Zhang (Inf. Softw. Technol., 2024)

Deep feature network with multi-scale fusion for highly congested crowd counting. - Leilei Yan; Li Zhang 004; Xiaohan Zheng; Fanzhang Li (Int. J. Mach. Learn. Cybern., 2024)

Mutation-based data augmentation for software defect prediction. - Rui Mao 015; Li Zhang 004; Xiaofang Zhang (J. Softw. Evol. Process., 2024)

Constrained feature weighting for semi-supervised learning. - Xinyi Chen; Li Zhang 004; Lei Zhao 001; Xiaofang Zhang (Appl. Intell., 2024)

Semi-supervised regression with label-guided adaptive graph optimization. - Xiaohan Zheng; Li Zhang 004; Leilei Yan; Lei Zhao 001 (Appl. Intell., 2024)

Enhancing Large-Scale Entity Alignment with Critical Structure and High-Quality Context. - Qian Zhou; Wei Chen 070; Li Zhang 004; Pengpeng Zhao 001; Jiajie Xu 001; Lei Zhao 001 (ICDE, 2025)

MAGIC: Noise Mitigation and Knowledge Alignment for Knowledge Graph-Based Multi-modal Recommendation. - Shijie Zhu; Yan Zhang 053; Li Zhang 004; Xi Chen; Lei Zhao 001 (ICMR, 2025)

A robust semi-supervised regressor with correntropy-induced manifold regularization and adaptive graph. - Xiaohan Zheng; Li Zhang 004; Leilei Yan; Lei Zhao 001 (Neural Networks, 2025)

Band-Level Adaptive Fusion Network for Cross-Subject EEG Emotion Recognition. - Yilin Wang 003; Li Zhang 004; Yan Zhang 053 (IEEE Trans. Instrum. Meas., 2025)

ADMH-ER: Adaptive Denoising Multi-Modal Hybrid for Entity Resolution. - Qian Zhou; Wei Chen 070; Li Zhang 004; An Liu 002; Junhua Fang; Lei Zhao 001 (IEEE Trans. Knowl. Data Eng., 2025)