Li Zhang - RankMe

212 papers A* 3A 3B 30C 4Misc 3Journal 124Unranked 45

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	F2SST: Frequency-to-Spatial Semantic Transfer for Few-Shot Image Classification. AAAI Xueyi Chen, Bangjun Wang, Jiaqing Fan, Li Zhang, Fanzhang Li
2026	J	`jnl`	Knowledge system based on cultural repository of NanTong blue calico patterns. Digit. Appl. Archaeol. Cult. Heritage Xiang Yu, Mei Shen, Li Zhang
2026	J	`jnl`	ME-DETR: A multi-scale enhanced detection Transformer with low-quality query filter denoising for aerial oriented object detection. Digit. Signal Process. Shuai Shi, Li Zhang
2026	J	`jnl`	Multi-Class Object Counting Network With Adaptive Class Alignment Loss for Remote Sensing Images. IEEE Signal Process. Lett. Zhiwei Zhu, Li Zhang, Hao-Yuan Ma, Xiang-Yi Wei, Yan Zhang
2026	J	`jnl`	When Temporal Knowledge Graph meets multi-modality: A new perspective for Temporal Knowledge Graph Forecasting. Inf. Process. Manag. Gaojie Han, Wei Chen, Xiaofang Zhang, Li Zhang, An Liu, Lei Zhao
2025	J	`jnl`	A robust semi-supervised regressor with correntropy-induced manifold regularization and adaptive graph. Neural Networks Xiaohan Zheng, Li Zhang, Leilei Yan, Lei Zhao
2025	J	`jnl`	ADMH-ER: Adaptive Denoising Multi-Modal Hybrid for Entity Resolution. IEEE Trans. Knowl. Data Eng. Qian Zhou, Wei Chen, Li Zhang, An Liu, Junhua Fang, Lei Zhao
2025	J	`jnl`	Band-Level Adaptive Fusion Network for Cross-Subject EEG Emotion Recognition. IEEE Trans. Instrum. Meas. Yilin Wang, Li Zhang, Yan Zhang
2025	—	`conf`	Discrimination-Enhanced Hierarchical Network with Structure Optimization for Cross-Subject EEG Emotion Recognition. BIBM Yilin Wang, Li Zhang, Yan Zhang
2025	A*	`conf`	Enhancing Large-Scale Entity Alignment with Critical Structure and High-Quality Context. ICDE Qian Zhou, Wei Chen, Li Zhang, Pengpeng Zhao, Jiajie Xu, Lei Zhao
2025	B	`conf`	MAGIC: Noise Mitigation and Knowledge Alignment for Knowledge Graph-Based Multi-modal Recommendation. ICMR Shijie Zhu, Yan Zhang, Li Zhang, Xi Chen, Lei Zhao
2025	A	`conf`	SeFA: A Seed-Filter Adaptation Method for Robust Vision Services in IoT Devices. ICWS Chuntao Ding, Longquan Zhang, Junna Zhang, Zonghui Li, Li Zhang
2024	J	`jnl`	Adaptive Pair-Weight Vector Projection Classifier for Semi-Supervised Classification. IEEE Trans. Consumer Electron. Yangtao Xue, Li Zhang
2024	J	`jnl`	Constrained feature weighting for semi-supervised learning. Appl. Intell. Xinyi Chen, Li Zhang, Lei Zhao, Xiaofang Zhang
2024	J	`jnl`	Deep feature network with multi-scale fusion for highly congested crowd counting. Int. J. Mach. Learn. Cybern. Leilei Yan, Li Zhang, Xiaohan Zheng, Fanzhang Li
2024	Misc	`conf`	FastGAT: Simple and Efficient Graph Attention Neural Network with Global-Aware Adaptive Computational Node Attention. ICASSP Shenzhi Yang, Li Zhang, Xiaofang Zhang
2024	J	`jnl`	Image denoising using channel attention residual enhanced Swin Transformer. Multim. Tools Appl. Qiang Dai, Xi Cheng, Li Zhang
2024	J	`jnl`	Local dual-graph discriminant classifier for binary classification. Neurocomputing Xiaohan Zheng, Li Zhang, Leilei Yan
2024	J	`jnl`	Multi-grained contextual code representation learning for commit message generation. Inf. Softw. Technol. Chuangwei Wang, Li Zhang, Xiaofang Zhang
2024	J	`jnl`	Mutation-based data augmentation for software defect prediction. J. Softw. Evol. Process. Rui Mao, Li Zhang, Xiaofang Zhang
2024	J	`jnl`	Semi-supervised regression with label-guided adaptive graph optimization. Appl. Intell. Xiaohan Zheng, Li Zhang, Leilei Yan, Lei Zhao
2023	J	`jnl`	Adaptive Multispectral Encoding Network for Image Demoiréing. IEEE Trans. Instrum. Meas. Qiang Dai, Xi Cheng, Li Zhang, Le-Kang Sun
2023	J	`jnl`	Discriminant space metric network for few-shot image classification. Appl. Intell. Leilei Yan, Fanzhang Li, Li Zhang, Xiaohan Zheng
2023	—	`conf`	FFTRL: A Sparse Online Kernel Classification Algorithm for Large Scale Data. ICANN (1) Changzhi Su, Li Zhang, Lei Zhao
2023	J	`jnl`	Feature selection based on absolute deviation factor for text classification. Inf. Process. Manag. Lingbin Jin, Li Zhang, Lei Zhao
2023	A	`conf`	Few-Shot Learning via Task-Aware Discriminant Local Descriptors Network. CIKM Leilei Yan, Fanzhang Li, Xiaohan Zheng, Li Zhang
2023	J	`jnl`	Iterative constraint score based on hypothesis margin for semi-supervised feature selection. Knowl. Based Syst. Xinyi Chen, Li Zhang, Lei Zhao
2023	J	`jnl`	L1-norm Laplacian support vector machine for data reduction in semi-supervised learning. Neural Comput. Appl. Xiaohan Zheng, Li Zhang, Zhiqiang Xu
2023	J	`jnl`	Max-difference maximization criterion: a feature selection method for text categorization. Frontiers Comput. Sci. Lingbin Jin, Li Zhang, Lei Zhao
2023	J	`jnl`	Minority-prediction-probability-based oversampling technique for imbalanced learning. Inf. Sci. Zhen Wei, Li Zhang, Lei Zhao
2023	J	`jnl`	Online local fisher risk minimization: a new online kernel method for online classification. Appl. Intell. Changzhi Su, Li Zhang, Lei Zhao
2023	J	`jnl`	Reinforced feature selection using Q-learning based on collaborative agents. Int. J. Mach. Learn. Cybern. Li Zhang, Lingbin Jin, Min Gan, Lei Zhao, Hongwei Yin
2023	—	`conf`	Semi-supervised Multi-class Classification Methods Based on Laplacian Vector Projection. NCAA (1) Yangtao Xue, Li Zhang
2023	J	`jnl`	T Vis. Comput. Li Zhang, Leilei Yan, Mengqian Zhang, Jingang Lu
2023	—	`conf`	Weak Correlation-Based Discriminative Dictionary Learning for Image Classification. PAKDD (1) Huangkai Zhang, Li Zhang
2022	J	`jnl`	Adaptively local consistent concept factorization for multi-view clustering. Soft Comput. Mei Lu, Li Zhang, Fanzhang Li
2022	B	`conf`	DSPOTE: Density-induced Selection Probability-based Oversampling TEchnique for Imbalanced Learning. ICPR Zhen Wei, Li Zhang, Lei Zhao
2022	B	`conf`	De-redundancy Relative Discrimination Criterion-based Feature Selection for Text Data. IJCNN Lingbin Jin, Li Zhang
2022	J	`jnl`	Deeper multi-column dilated convolutional network for congested crowd understanding. Neural Comput. Appl. Leilei Yan, Li Zhang, Xiaohan Zheng, Fanzhang Li
2022	B	`conf`	Discriminant Variance Criterion for Sentiment Analysis. ICPR Lingbin Jin, Li Zhang
2022	B	`conf`	FP60 and FSNet: A Benchmark Dataset and a Family-Species Network for Forestry Pest Recognition. ICPR Le-Kang Sun, Li Zhang, Qiang Dai, Yue-Feng Li
2022	J	`jnl`	HEp-2 image classification using a multi-class and multiple-binary classifier. Medical Biol. Eng. Comput. Li Zhang, Meng-Qian Zhang, Xuerui Lv
2022	—	`conf`	Laplacain Pair-Weight Vector Projection with Adaptive Neighbor Graph for Semi-supervised Learning. NCAA (1) Yangtao Xue, Li Zhang
2022	J	`jnl`	Multi-order nearest neighbor prediction for recommendation systems. Digit. Signal Process. Xiaohan Sun, Li Zhang
2022	—	`conf`	Multi-spectral Dynamic Feature Encoding Network for Image Demoiréing. ICANN (4) Qiang Dai, Xi Cheng, Li Zhang
2022	B	`conf`	Nantong Blue Calico Image Dataset and Its Recognition. CEC Xiang Yu, Li Zhang, Mei Shen
2022	B	`conf`	Sparse Support Vector Machine with Fisher-Regularizer for Data Reduction. IJCNN Xiaohan Zheng, Li Zhang, Zhengqi Zhang
2022	J	`jnl`	Sparse discriminant twin support vector machine for binary classification. Neural Comput. Appl. Xiaohan Zheng, Li Zhang, Leilei Yan
2021	J	`jnl`	A Survey on Concept Factorization: From Shallow to Deep Representation Learning. Inf. Process. Manag. Zhao Zhang, Yan Zhang, Mingliang Xu, Li Zhang, Yi Yang, Shuicheng Yan
2021	J	`jnl`	A recursive feature retention method for semi-supervised feature selection. Int. J. Mach. Learn. Cybern. Qing-Qing Pang, Li Zhang
2021	J	`jnl`	CTSVM: A robust twin support vector machine with correntropy-induced loss function for binary classification problems. Inf. Sci. Xiaohan Zheng, Li Zhang, Leilei Yan
2021	—	`conf`	Discriminant Mutual Information for Text Feature Selection. DASFAA (2) Jiaqi Wang, Li Zhang
2021	J	`jnl`	Dissimilarity-based nearest neighbor classifier for single-sample face recognition. Vis. Comput. Zhengqi Zhang, Li Zhang, Meng Zhang
2021	J	`jnl`	Dual-Constrained Deep Semi-Supervised Coupled Factorization Network with Enriched Prior. Int. J. Comput. Vis. Yan Zhang, Zhao Zhang, Yang Wang, Zheng Zhang, Li Zhang, Shuicheng Yan, Meng Wang
2021	J	`jnl`	Dynamic dominance-based multigranulation rough sets approaches with evolving ordered data. Int. J. Mach. Learn. Cybern. Chengxiang Hu, Li Zhang
2021	J	`jnl`	Fast Gaussian kernel support vector machine recursive feature elimination algorithm. Appl. Intell. Li Zhang, Xiaohan Zheng, Qing-Qing Pang, Weida Zhou
2021	J	`jnl`	Fast neighbor user searching for neighborhood-based collaborative filtering with hybrid user similarity measures. Soft Comput. Zepeng Li, Li Zhang
2021	—	`conf`	Feature Fusion Learning Based on LSTM and CNN Networks for Trend Analysis of Limit Order Books. ICONIP (4) Xuerui Lv, Li Zhang
2021	B	`conf`	Fisher-regularized Support Vector Machine with Pinball Loss Function. IJCNN Zhengqi Zhang, Li Zhang, Zhao Zhang
2021	J	`jnl`	Incremental approaches to update multigranulation approximations for dynamic information systems. J. Intell. Fuzzy Syst. Chengxiang Hu, Li Zhang, Shixi Liu
2021	J	`jnl`	Iterative rating prediction for neighborhood-based collaborative filtering. Appl. Intell. Li Zhang, Zepeng Li, Xiaohan Sun
2021	J	`jnl`	Iteratively local fisher score for feature selection. Appl. Intell. Min Gan, Li Zhang
2021	J	`jnl`	Laplacian pair-weight vector projection for semi-supervised learning. Inf. Sci. Yangtao Xue, Li Zhang
2021	Misc	`conf`	Partial Feature Aggregation Network for Real-Time Object Counting. ICASSP Houshun Yu, Li Zhang
2021	A*	`conf`	Partial-Label and Structure-constrained Deep Coupled Factorization Network. AAAI Yan Zhang, Zhao Zhang, Yang Wang, Zheng Zhang, Li Zhang, Shuicheng Yan, Meng Wang
2021	C	`conf`	Q-Learning with Fisher Score for Feature Selection of Large-Scale Data Sets. KSEM Min Gan, Li Zhang
2021	C	`conf`	Residual Gated Recurrent Unit-Based Stacked Network for Stock Trend Prediction from Limit Order Book. KSEM Xuerui Lv, Li Zhang
2021	—	`conf`	Sample Reduction Using ℓ NCAA Xiaohan Zheng, Li Zhang, Leilei Yan
2020	J	`jnl`	A Survey on Concept Factorization: From Shallow to Deep Representation Learning. CoRR Zhao Zhang, Yan Zhang, Li Zhang, Shuicheng Yan
2020	J	`jnl`	A dynamic framework for updating neighborhood multigranulation approximations with the variation of objects. Inf. Sci. Chengxiang Hu, Li Zhang
2020	—	`conf`	Data Reduction for Noisy Data Classification Using Semi-supervised Manifold-Preserving Graph Reduction. ICONIP (5) Li Zhang, Qing-Qing Pang, Zhiqiang Xu, Xiaohan Zheng
2020	A	`conf`	Deep Self-representative Concept Factorization Network for Representation Learning. SDM Yan Zhang, Zhao Zhang, Zheng Zhang, Mingbo Zhao, Li Zhang, Zhengjun Zha, Meng Wang
2020	J	`jnl`	DenseNet with Up-Sampling block for recognizing texts in images. Neural Comput. Appl. Zeming Tang, Weiming Jiang, Zhao Zhang, Mingbo Zhao, Li Zhang, Meng Wang
2020	—	`conf`	Densely Multi-path Network for Single Image Super-Resolution. ICONIP (1) Shi Xu, Li Zhang
2020	J	`jnl`	Discriminative Local Sparse Representation by Robust Adaptive Dictionary Pair Learning. IEEE Trans. Neural Networks Learn. Syst. Yulin Sun, Zhao Zhang, Weiming Jiang, Zheng Zhang, Li Zhang, Shuicheng Yan, Meng Wang
2020	J	`jnl`	Dual-constrained Deep Semi-Supervised Coupled Factorization Network with Enriched Prior. CoRR Yan Zhang, Zhao Zhang, Yang Wang, Zheng Zhang, Li Zhang, Shuicheng Yan, Meng Wang
2020	J	`jnl`	Efficient approaches for maintaining dominance-based multigranulation approximations with incremental granular structures. Int. J. Approx. Reason. Chengxiang Hu, Li Zhang
2020	—	`conf`	Fast Backward Iterative Laplacian Score for Unsupervised Feature Selection. KSEM (1) Qing-Qing Pang, Li Zhang
2020	—	`conf`	Feature Selection Using Sparse Twin Bounded Support Vector Machine. ICONIP (2) Xiaohan Zheng, Li Zhang, Leilei Yan
2020	—	`conf`	Feature Selection Using Sparse Twin Support Vector Machine with Correntropy-Induced Loss. KSEM (1) Xiaohan Zheng, Li Zhang, Leilei Yan
2020	—	`conf`	Forward Iterative Feature Selection Based on Laplacian Score. ICONIP (2) Qing-Qing Pang, Li Zhang
2020	J	`jnl`	Incremental updating probabilistic neighborhood three-way regions with time-evolving attributes. Int. J. Approx. Reason. Chengxiang Hu, Li Zhang
2020	—	`conf`	LCNet: A Light-Weight Network for Object Counting. ICONIP (1) Houshun Yu, Li Zhang
2020	J	`jnl`	Local preserving logistic I-Relief for semi-supervised feature selection. Neurocomputing Baige Tang, Li Zhang
2020	J	`jnl`	Mutual-manifold regularized robust fast latent LRR for subspace recovery and learning. Neural Comput. Appl. Xianzhen Li, Zhao Zhang, Li Zhang, Meng Wang
2020	—	`conf`	Reliable Neighbors-Based Collaborative Filtering for Recommendation Systems. NCAA Li Zhang, Xiaohan Sun, Jiangfei Cheng, Zepeng Li
2020	—	`conf`	Semi-supervised Feature Selection Using Sparse Laplacian Support Vector Machine. NCAA Li Zhang, Xiaohan Zheng, Zhiqiang Xu
2020	J	`jnl`	Semi-supervised neighborhood discrimination index for feature selection. Knowl. Based Syst. Qing-Qing Pang, Li Zhang
2019	—	`conf`	Crowd Counting via Residual Multi-Scale Convolutional Neural Network. CBD Jingang Lu, Li Zhang
2019	J	`jnl`	Deep Self-representative Concept Factorization Network for Representation Learning. CoRR Yan Zhang, Zhao Zhang, Zheng Zhang, Mingbo Zhao, Li Zhang, Zhengjun Zha, Meng Wang
2019	J	`jnl`	Discriminative Local Sparse Representation by Robust Adaptive Dictionary Pair Learning. CoRR Yulin Sun, Zhao Zhang, Weiming Jiang, Zheng Zhang, Li Zhang, Shuicheng Yan, Meng Wang
2019	J	`jnl`	Feature Extraction Based on Support Vector Data Description. Neural Process. Lett. Li Zhang, Xingning Lu
2019	—	`conf`	Feature Selection Based on the Kullback-Leibler Distance and its Application on Fault Diagnosis. CBD Yangtao Xue, Li Zhang, Bangjun Wang, Fanzhang Li
2019	J	`jnl`	Incremental updating knowledge in neighborhood multigranulation rough sets under dynamic granular structures. Knowl. Based Syst. Chengxiang Hu, Li Zhang, Bangjun Wang, Zhao Zhang, Fanzhang Li
2019	—	`conf`	Jaccard Coefficient-Based Bi-clustering and Fusion Recommender System for Solving Data Sparsity. PAKDD (2) Jiangfei Cheng, Li Zhang
2019	J	`jnl`	Jointly Learning Structured Analysis Discriminative Dictionary and Analysis Multiclass Classifier. CoRR Zhao Zhang, Weiming Jiang, Jie Qin, Li Zhang, Fanzhang Li, Min Zhang, Shuicheng Yan
2019	J	`jnl`	Logistic local hyperplane-Relief: A feature weighting method for classification. Knowl. Based Syst. Li Zhang, Xiaojuan Huang, Weida Zhou
2019	—	`conf`	Multi-class Semi-supervised Logistic I-RELIEF Feature Selection Based on Nearest Neighbor. PAKDD (2) Baige Tang, Li Zhang
2019	J	`jnl`	Multi-view clustering via spectral embedding fusion. Soft Comput. Hongwei Yin, Fanzhang Li, Li Zhang, Zhao Zhang
2019	J	`jnl`	Sparse modified marginal fisher analysis for facial expression recognition. Appl. Intell. Zhe Wang, Li Zhang, Bangjun Wang
2019	—	`conf`	Subspace Ensemble-Based Neighbor User Searching for Neighborhood-Based Collaborative Filtering. DASFAA (2) Zepeng Li, Li Zhang
2019	—	`conf`	Unsupervised Dimension Reduction Using Supervised Orthogonal Discriminant Projection for Clustering. HPCC/SmartCity/DSS Leilei Yan, Li Zhang
2018	B	`conf`	A Novel Model for Multi-label Image Annotation. ICPR Xin-Jian Wu, Li Zhang, Fanzhang Li, Bangjun Wang
2018	J	`jnl`	Applying 1-norm SVM with squared loss to gene selection for cancer classification. Appl. Intell. Li Zhang, Weida Zhou, Bangjun Wang, Zhao Zhang, Fanzhang Li
2018	—	`conf`	Cascaded Deep Hashing for Large-Scale Image Retrieval. ICONIP (6) Jun Lu, Li Zhang
2018	—	`conf`	Decision Tree Twin Support Vector Machine Based on Kernel Clustering for Multi-class Classification. ICONIP (4) Qingyun Dou, Li Zhang
2018	J	`jnl`	Deep learning algorithm with visual impression. Inf. Process. Lett. Mengduo Yang, Fanzhang Li, Li Zhang, Zhao Zhang
2018	—	`conf`	Density-Induced Support Vector Data Description for Fault Detection on Tennessee Eastman Process. ICONIP (4) Yangtao Xue, Li Zhang, Bangjun Wang, Baige Tang
2018	J	`jnl`	Feature clustering based support vector machine recursive feature elimination for gene selection. Appl. Intell. Xiaojuan Huang, Li Zhang, Bangjun Wang, Fanzhang Li, Zhao Zhang
2018	J	`jnl`	Feature weight estimation based on dynamic representation and neighbor sparse reconstruction. Pattern Recognit. Xiaojuan Huang, Li Zhang, Bangjun Wang, Zhao Zhang, Fanzhang Li
2018	B	`conf`	Graph Embedding-Based Ensemble Learning for Image Clustering. ICPR Xiaohui Luo, Li Zhang, Fanzhang Li, Bangjun Wang
2018	J	`jnl`	Jointly Learning Structured Analysis Discriminative Dictionary and Analysis Multiclass Classifier. IEEE Trans. Neural Networks Learn. Syst. Zhao Zhang, Weiming Jiang, Jie Qin, Li Zhang, Fanzhang Li, Min Zhang, Shuicheng Yan
2018	J	`jnl`	Lie group impression for deep learning. Inf. Process. Lett. Mengduo Yang, Fanzhang Li, Li Zhang, Zhao Zhang
2018	B	`conf`	MSSVT: Multi-scale feature extraction for single face recognition. ICPR Xiaoxiang Xu, Li Zhang, Fanzhang Li
2018	B	`conf`	Multi-Source Clustering based on spectral recovery. ICPR Hongwei Yin, Fanzhang Li, Li Zhang
2018	J	`jnl`	New fast feature selection methods based on multiple support vector data description. Appl. Intell. Li Zhang, Xingning Lu
2018	J	`jnl`	Nonlinear feature selection using Gaussian kernel SVM-RFE for fault diagnosis. Appl. Intell. Yangtao Xue, Li Zhang, Bangjun Wang, Zhao Zhang, Fanzhang Li
2018	B	`conf`	Nonnegative and Adaptive Multi-view Clustering. ICPR Peng Zou, Fanzhang Li, Li Zhang
2018	J	`jnl`	Robust Adaptive Embedded Label Propagation With Weight Learning for Inductive Classification. IEEE Trans. Neural Networks Learn. Syst. Zhao Zhang, Fanzhang Li, Lei Jia, Jie Qin, Li Zhang, Shuicheng Yan
2018	—	`conf`	Robust Multi-view Features Fusion Method Based on CNMF. ICONIP (4) Bangjun Wang, Liu Yang, Li Zhang, Fanzhang Li
2018	—	`conf`	Semi-supervised Feature Selection Based on Logistic I-RELIEF for Multi-classification. PRICAI (1) Baige Tang, Li Zhang
2018	J	`jnl`	Semi-supervised local multi-manifold Isomap by linear embedding for feature extraction. Pattern Recognit. Yan Zhang, Zhao Zhang, Jie Qin, Li Zhang, Bing Li, Fanzhang Li
2018	J	`jnl`	Sparse Auto-encoder with Smoothed l Neural Process. Lett. Li Zhang, Ya-Ping Lu, Bangjun Wang, Fanzhang Li, Zhao Zhang
2018	B	`conf`	Spectral Embedded Clustering on Multi-Manifold. ICPR Shuning Huang, Li Zhang, Fanzhang Li
2018	—	`conf`	Supervised Manifold-Preserving Graph Reduction for Noisy Data Classification. KSEM (1) Zhiqiang Xu, Li Zhang
2018	—	`conf`	Unsupervised Ensemble Learning Based on Graph Embedding for Image Clustering. ICONIP (3) Xiaohui Luo, Li Zhang, Fanzhang Li, Chengxiang Hu
2017	—	`conf`	An Altered Kernel Transformation for Time Series Classification. ICONIP (5) Yangtao Xue, Li Zhang, Zhiwei Tao, Bangjun Wang, Fanzhang Li
2017	J	`jnl`	Decision pyramid classifier for face recognition under complex variations using single sample per person. Pattern Recognit. Tingwei Pei, Li Zhang, Bangjun Wang, Fanzhang Li, Zhao Zhang
2017	J	`jnl`	Discriminative clustering on manifold for adaptive transductive classification. Neural Networks Zhao Zhang, Lei Jia, Min Zhang, Bing Li, Li Zhang, Fanzhang Li
2017	J	`jnl`	Discriminative sparse flexible manifold embedding with novel graph for robust visual representation and label propagation. Pattern Recognit. Zhao Zhang, Yan Zhang, Fanzhang Li, Ming-Bo Zhao, Li Zhang, Shuicheng Yan
2017	—	`conf`	Dissimilarity-Based Sequential Backward Feature Selection Algorithm for Fault Diagnosis. ICONIP (4) Yangtao Xue, Li Zhang, Bangjun Wang
2017	—	`conf`	Iterative Local Hyperlinear Learning Based Relief for Feature Weight Estimation. ICONIP (1) Xiaojuan Huang, Li Zhang, Bangjun Wang, Zhao Zhang, Fanzhang Li
2017	—	`conf`	Low-Frequency Representation for Face Recognition. ICONIP (6) Bangjun Wang, Li Zhang, Fanzhang Li
2017	J	`jnl`	Projective label propagation by label embedding: A deep label prediction framework for representation and classification. Knowl. Based Syst. Zhao Zhang, Lei Wang, Lei Jia, Fanzhang Li, Li Zhang, Mingbo Zhao
2017	J	`jnl`	Robust Alternating Low-Rank Representation by joint Lp- and L2, p-norm minimization. Neural Networks Zhao Zhang, Mingbo Zhao, Fanzhang Li, Li Zhang, Shuicheng Yan
2017	J	`jnl`	Robust Neighborhood Preserving Projection by Nuclear/L2, 1-Norm Regularization for Image Feature Extraction. IEEE Trans. Image Process. Zhao Zhang, Fanzhang Li, Mingbo Zhao, Li Zhang, Shuicheng Yan
2017	—	`conf`	Single Sample Face Recognition Based on Global Local Binary Pattern Feature Extraction. ICONIP (6) Meng Zhang, Li Zhang, Chengxiang Hu
2017	J	`jnl`	Spectral clustering based on similarity and dissimilarity criterion. Pattern Anal. Appl. Bangjun Wang, Li Zhang, Caili Wu, Fanzhang Li, Zhao Zhang
2017	J	`jnl`	Structured Latent Label Consistent Dictionary Learning for Salient Machine Faults Representation-Based Robust Classification. IEEE Trans. Ind. Informatics Zhao Zhang, Weiming Jiang, Fanzhang Li, Mingbo Zhao, Bing Li, Li Zhang
2017	J	`jnl`	Supervised orthogonal discriminant projection based on double adjacency graphs for image classification. IET Image Process. Bangjun Wang, Li Zhang, Fanzhang Li
2017	J	`jnl`	Supervised sparse neighbourhood preserving embedding. IET Image Process. Liqiang Qian, Li Zhang, Xing Bao, Fanzhang Li, Jiwen Yang
2016	J	`jnl`	Constrained neighborhood preserving concept factorization for data representation. Knowl. Based Syst. Mei Lu, Li Zhang, Xiang-Jun Zhao, Fanzhang Li
2016	J	`jnl`	Fisher-regularized support vector machine. Inf. Sci. Li Zhang, Weida Zhou
2016	—	`conf`	Hidden Space Neighbourhood Component Analysis for Cancer Classification. ICONIP (4) Li Zhang, Xiaojuan Huang, Bangjun Wang, Fanzhang Li, Zhao Zhang
2016	J	`jnl`	Joint Label Consistent Dictionary Learning and Adaptive Label Prediction for Semisupervised Machine Fault Classification. IEEE Trans. Ind. Informatics Weiming Jiang, Zhao Zhang, Fanzhang Li, Li Zhang, Ming-Bo Zhao, Xiaohang Jin
2016	J	`jnl`	Joint Low-Rank and Sparse Principal Feature Coding for Enhanced Robust Representation and Visual Classification. IEEE Trans. Image Process. Zhao Zhang, Fanzhang Li, Ming-Bo Zhao, Li Zhang, Shuicheng Yan
2016	B	`conf`	Nuclear-norm regularized neighborhood preserving projection. ICIP Zhao Zhang, Fanzhang Li, Mingbo Zhao, Li Zhang, Shuicheng Yan
2016	Misc	`conf`	SAR image target recognition using kernel sparse representation based on reconstruction coefficient energy maximization rule. ICASSP Li Zhang, Zhiwei Tao, Bangjun Wang
2016	J	`jnl`	SD-MSAEs: Promoter recognition in human genome based on deep feature extraction. J. Biomed. Informatics Wenxuan Xu, Li Zhang, Ya-Ping Lu
2016	J	`jnl`	Semi-supervised concept factorization for document clustering. Inf. Sci. Mei Lu, Xiang-Jun Zhao, Li Zhang, Fanzhang Li
2016	—	`conf`	Sparse Auto-encoder with Smoothed l_1 Regularization. ICONIP (3) Li Zhang, Ya-Ping Lu, Zhao Zhang, Bangjun Wang, Fanzhang Li
2016	J	`jnl`	Sparse Codes Auto-Extractor for Classification: A Joint Embedding and Dictionary Learning Framework for Representation. IEEE Trans. Signal Process. Zhao Zhang, Fanzhang Li, Tommy W. S. Chow, Li Zhang, Shuicheng Yan
2016	—	`conf`	Time Series Classification Based on Multi-codebook Important Time Subsequence Approximation Algorithm. ICONIP (4) Zhiwei Tao, Li Zhang, Bangjun Wang, Fanzhang Li
2015	B	`conf`	A fast approximation algorithm for 1-norm SVM with squared loss. IJCNN Li Zhang, Weida Zhou, Zhao Zhang, Jiwen Yang
2015	J	`jnl`	A fast gene selection method for multi-cancer classification using multiple support vector data description. J. Biomed. Informatics Jin Cao, Li Zhang, Bangjun Wang, Fanzhang Li, Jiwen Yang
2015	B	`conf`	Comparison of auto-encoders with different sparsity regularizers. IJCNN Li Zhang, Ya-Ping Lu
2015	J	`jnl`	Double adjacency graphs-based discriminant neighborhood embedding. Pattern Recognit. Chuntao Ding, Li Zhang
2015	B	`conf`	Filtering SAR imagery for edge detection using support value transform. IJCNN Li Zhang, Weida Zhou, Bangjun Wang
2015	J	`jnl`	Kernel sparse representation-based classifier ensemble for face recognition. Multim. Tools Appl. Li Zhang, Weida Zhou, Fanzhang Li
2015	J	`jnl`	Learning similarity with cosine similarity ensemble. Inf. Sci. Peipei Xia, Li Zhang, Fanzhang Li
2015	B	`conf`	Multiple SVM-RFE for multi-class gene selection on DNA Microarray data. IJCNN Li Zhang, Xiaojuan Huang
2015	J	`jnl`	Orthogonal matching pursuit-based incremental locally linear embedding algorithm. Int. J. Auton. Adapt. Commun. Syst. Yiqin Leng, Li Zhang, Jiwen Yang
2015	—	`conf`	Projective Label Propagation by Label Embedding. CAIP (2) Zhao Zhang, Weiming Jiang, Fanzhang Li, Li Zhang, Ming-Bo Zhao, Lei Jia
2015	B	`conf`	Semi-Supervised Image Classification by Nonnegative Sparse Neighborhood Propagation. ICMR Zhao Zhang, Li Zhang, Ming-Bo Zhao, Weiming Jiang, Yuchen Liang, Fanzhang Li
2015	C	`conf`	Semi-supervised label consistent dictionary learning for machine fault classification. INDIN Weiming Jiang, Zhao Zhang, Fanzhang Li, Li Zhang, Ming-Bo Zhao
2015	B	`conf`	Similarity learning based on multiple support vector data description. IJCNN Li Zhang, Xingning Lu, Bangjun Wang, Shuping He
2015	J	`jnl`	Similarity-balanced discriminant neighbor embedding and its application to cancer classification based on gene expression data. Comput. Biol. Medicine Li Zhang, Liqiang Qian, Chuntao Ding, Weida Zhou, Fanzhang Li
2015	J	`jnl`	Supervised locally linear embedding algorithm based on orthogonal matching pursuit. IET Image Process. Li Zhang, Yiqin Leng, Jiwen Yang, Fanzhang Li
2015	J	`jnl`	Time series prediction using sparse regression ensemble based on ℓ Soft Comput. Li Zhang, Weida Zhou
2015	J	`jnl`	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 Xing Bao, Li Zhang, Mengmeng Zhao, Jiwen Yang
2014	B	`conf`	A supervised neighborhood preserving embedding for face recognition. IJCNN Xing Bao, Li Zhang, Bangjun Wang, Ji-Wen Yang
2014	B	`conf`	Feature ensemble learning based on sparse autoencoders for image classification. IJCNN Ya-Ping Lu, Li Zhang, Bangjun Wang, Jiwen Yang
2014	B	`conf`	Hidden space discriminant neighborhood embedding. IJCNN Chuntao Ding, Li Zhang, Bangjun Wang
2014	B	`conf`	Locally Linear Embedding algorithm based on OMP for incremental learning. IJCNN Yiqin Leng, Li Zhang, Jiwen Yang
2014	B	`conf`	Similarity-balanced Discriminant Neighborhood Embedding. IJCNN Chuntao Ding, Li Zhang, Ya-Ping Lu, Shuping He
2014	B	`conf`	Solving unbalanced problems in similarity learning using SVM ensemble. IJCNN Peipei Xia, Li Zhang
2014	J	`jnl`	Toward Large-Population Face Identification in Unconstrained Videos. IEEE Trans. Circuits Syst. Video Technol. Luoqi Liu, Li Zhang, Hairong Liu, Shuicheng Yan
2013	J	`jnl`	1-norm support vector novelty detection and its sparseness. Neural Networks Li Zhang, Weida Zhou
2013	J	`jnl`	A fast algorithm for kernel 1-norm support vector machines. Knowl. Based Syst. Li Zhang, Weida Zhou
2013	J	`jnl`	Analysis of programming properties and the row-column generation method for 1-norm support vector machines. Neural Networks Li Zhang, Weida Zhou
2013	J	`jnl`	Evolutionary dynamics of continuous strategy games on graphs and social networks under weak selection. Biosyst. Weicai Zhong, Jing Liu, Li Zhang
2013	J	`jnl`	Iterated time series prediction with multiple support vector regression models. Neurocomputing Li Zhang, Weida Zhou, Pei-Chann Chang, Ji-Wen Yang, Fanzhang Li
2013	J	`jnl`	Sparse signal reconstruction using decomposition algorithm. Knowl. Based Syst. Li Zhang, Weida Zhou, Gui-Rong Chen, Ya-Ping Lu, Fanzhang Li
2013	J	`jnl`	The stability analysis for a novel feedback neural network with partial connection. Neurocomputing Di-di Wang, Pei-Chann Chang, Li Zhang, Jheng-Long Wu, Changle Zhou
2012	J	`jnl`	Active learning based on coupled KNN pseudo pruning. Neural Comput. Appl. Lin Xiong, Licheng Jiao, Shasha Mao, Li Zhang
2012	J	`jnl`	Cascaded cluster ensembles. Int. J. Mach. Learn. Cybern. Li Zhang, Xinghong Ling, Ji-Wen Yang, Xiaoqian Wang, Fanzhang Li
2012	J	`jnl`	High-resolution ranging method based on low-rate parallel random sampling. Digit. Signal Process. Jie Lin, Guangming Shi, Xuyang Chen, Fei Qi, Li Zhang, Xuemei Xie
2012	J	`jnl`	Kernel Sparse Representation-Based Classifier. IEEE Trans. Signal Process. Li Zhang, Weida Zhou, Pei-Chann Chang, Jing Liu, Zhe Yan, Ting Wang, Fanzhang Li
2011	J	`jnl`	Density-induced margin support vector machines. Pattern Recognit. Li Zhang, Weida Zhou
2011	J	`jnl`	Generalized nonlinear discriminant analysis and its small sample size problems. Neurocomputing Li Zhang, Weida Zhou, Pei-Chann Chang
2011	J	`jnl`	Minimum Span Frequency Assignment Based on a Multiagent Evolutionary Algorithm. Int. J. Swarm Intell. Res. Jing Liu, Jinshu Li, Weicai Zhong, Li Zhang, Ruochen Liu
2011	—	`conf`	Nonlinear Nearest Subspace Classifier. ICONIP (2) Li Zhang, Weida Zhou, Bing Liu
2011	J	`jnl`	Sparse ensembles using weighted combination methods based on linear programming. Pattern Recognit. Li Zhang, Weida Zhou
2010	J	`jnl`	Complex-valued support vector classifiers. Digit. Signal Process. Li Zhang, Weida Zhou, Licheng Jiao
2010	C	`conf`	Efficient architecture for adaptive directional lifting-based wavelet transform. VCIP Zan Yin, Li Zhang, Guangming Shi
2010	—	`conf`	Multi-Objective Job Shop Scheduling Based on Multiagent Evolutionary Algorithm. SEAL Xinrui Duan, Jing Liu, Li Zhang, Licheng Jiao
2010	J	`jnl`	On the sparseness of 1-norm support vector machines. Neural Networks Li Zhang, Weida Zhou
2009	J	`jnl`	An Efficient Folded Architecture for Lifting-Based Discrete Wavelet Transform. IEEE Trans. Circuits Syst. II Express Briefs Guangming Shi, Weifeng Liu, Li Zhang, Fu Li
2009	J	`jnl`	Identification and Control of Discrete-Time Nonlinear Systems Using Affine Support Vector Machines. Int. J. Artif. Intell. Tools Li Zhang, Yugeng Xi, Weida Zhou
2008	B	`conf`	Generalized Nonlinear Discriminant Analysis. ICPR Li Zhang, Weida Zhou, Hua Zhang, Licheng Jiao
2008	B	`conf`	Lossy to lossless image compression based on reversible integer DCT. ICIP Lei Wang, Jiaji Wu, Licheng Jiao, Li Zhang, Guangming Shi
2008	J	`jnl`	UWB Echo Signal Detection With Ultra-Low Rate Sampling Based on Compressed Sensing. IEEE Trans. Circuits Syst. II Express Briefs Guangming Shi, Jie Lin, Xuyang Chen, Fei Qi, Danhua Liu, Li Zhang
2007	J	`jnl`	Decision Tree Support Vector Machine. Int. J. Artif. Intell. Tools Li Zhang, Weida Zhou, Tian-Tian Su, Licheng Jiao
2007	J	`jnl`	Immune memory clonal selection algorithms for designing stack filters. Neurocomputing Weisheng Dong, Guangming Shi, Li Zhang
2006	—	`conf`	A New Fast Algorithm for Training Large Window Stack Filters. ICNC (2) Guangming Shi, Weisheng Dong, Li Zhang, Jin Pan
2006	B	`conf`	Hidden Space Principal Component Analysis. PAKDD Weida Zhou, Li Zhang, Licheng Jiao
2006	—	`conf`	Support Vector Regression Based on Unconstrained Convex Quadratic Programming. ICNC (1) Weida Zhou, Li Zhang, Licheng Jiao, Jin Pan
2005	J	`jnl`	Support Vector Machines Based on the Orthogonal Projection Kernel of Father Wavelet. Int. J. Comput. Intell. Appl. Li Zhang, Weida Zhou, Licheng Jiao
2004	J	`jnl`	Hidden space support vector machines. IEEE Trans. Neural Networks Li Zhang, Weida Zhou, Licheng Jiao
2004	—	`conf`	Nonlinear System Identification Based on an Improved Support Vector Regression Estimator. ISNN (1) Li Zhang, Yugeng Xi
2004	J	`jnl`	Wavelet support vector machine. IEEE Trans. Syst. Man Cybern. Part B Li Zhang, Weida Zhou, Licheng Jiao
2002	J	`jnl`	Linear programming support vector machines. Pattern Recognit. Weida Zhou, Li Zhang, Licheng Jiao