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ORCIDLi Zhang 0004
Person information
- affiliation: Soochow University, School of Computer Science and Technology, Suzhou, China
- affiliation (PhD 2002): Xidian University, Institute of Intelligent Information Processing, Xi'an, China
Other persons with the same name
- Li Zhang — disambiguation page
- Li Zhang 0001 — Microsoft Research Silicon Valley
- Li Zhang 0002 — IBM Thomas J. Watson Research Center
- Li Zhang 0003 — University of Wisconsin-Madison
- Li Zhang 0005 — Catena Technologies (and 1 more)
- Li Zhang 0006
![[0000-0003-2118-4876]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0003-2118-4876")
— Bytedance Inc., San Diego, CA, USA (and 3 more) - Li Zhang 0007 — IBM, China Research Lab.
- Li Zhang 0008 — Eastern Michigan University (and 1 more)
- Li Zhang 0009 — Tongji University, Department of Applied Mathematics, China (and 1 more)
- Li Zhang 0010 — Chinese University of Hong Kong, Department of Mechanical and Automation Engineering, Hong Kong (and 1 more)
- Li Zhang 0011 — University of Leeds
- Li Zhang 0012 — Nokia Siemens Beijing (and 1 more)
- Li Zhang 0013 — Northumbria University, Computational Intelligence Group, Newcastle upon Tyne, UK (and 1 more)
- Li Zhang 0014 — University of Texas at Dallas, Department of Molecular and Cell Biology, Richardson, TX, USA
- Li Zhang 0015 — Tsinghua University, Department of Mathematical Sciences, Beijing, China
- Li Zhang 0016 — KTH Royal Institute of Technology, Department of Philosophy and History of Technology, Stockholm, Sweden
- Li Zhang 0017 — University of California, San Francisco, Department of Epidemiology and Biostatistics, CA, USA
- Li Zhang 0018 — National University of Defense Technology, College of Aerospace Science and Engineering, Changsha, China
- Li Zhang 0019 — Nanjing Brain Hospital Affiliated to Nanjing Medical University, Department of Geriatric Neurology, China
- Li Zhang 0020 — Southeast University, School of Electrical Engineering, Nanjing, China
- Li Zhang 0021 — Zhejiang University, Hangzhou, China (and 1 more)
- Li Zhang 0022 — Nanjing University of Science and Technology, Nanjing University of Science and Technology, China
- Li Zhang 0023 — Tsinghua University, Department of Electronic Engineering, Institute of Microelectronics, Beijing, China
- Li Zhang 0024 — Siemens Corporate Research, Princeton, NJ, USA
- Li Zhang 0025 — Harbin Institute of Technology, School of Computer Science and Technology, China (and 1 more)
- Li Zhang 0026 — University of Saskatchewan, Science Library, SK, Canada
- Li Zhang 0027 — South China University of Technology, School of Automation Science and Engineering, Guangzhou, China
- Li Zhang 0028 — Hefei University of Technology, School of Mathematics, China
- Li Zhang 0029 — Beihang University, School of Computer Science and Engineering, Beijing, China
- Li Zhang 0030 — Marvell Semiconductor, Inc., Santa Clara, CA, USA (and 1 more)
- Li Zhang 0031 — University of Iowa, Iowa City, IA, USA
- Li Zhang 0032 — University of Teesside, Middlesbrough, UK
- Li Zhang 0033 — Toshiba Corporation
- Li Zhang 0034 — University of Amsterdam, The Netherlands
- Li Zhang 0035 — Lanzhou University of Technology, China
- Li Zhang 0036 — Saarland University, Saarbrücken, Germany
- Li Zhang 0037 — Tongji University, School of Mathematical Sciences, Shanghai, China
- Li Zhang 0038 — Hohai University, College of Energy and Electrical Engineering / MOE Research Center for Renewable Energy Generation Engineering, Nanjing, China (and 1 more)
- Li Zhang 0039 — University of Michigan, Computer Science and Engineering, Ann Arbor, MI, USA
- Li Zhang 0040 — University of Oxford, UK (and 1 more)
- Li Zhang 0041 — Shenzhen University, School of Biomedical Engineering, Health Science Center, China (and 1 more)
- Li Zhang 0042 — Tianjin Normal University, Laboratory of Wireless Communication and Energy Transmission, China
- Li Zhang 0043 — Shandong University, School of Mechanical, Electrical & Information Engineering, Weihai, China
- Li Zhang 0044 — China Agricultural University, College of Information and Electrical Engineering, Beijing, China (and 1 more)
- Li Zhang 0045 — Zhejiang University, Department of Computer Science, Hangzhou, China
- Li Zhang 0046 — Tsinghua University, Institute of Microelectronics, Beijing, China
- Li Zhang 0047 — Peking University, Center for Data Science in Health and Medicine, Beijing, China
- Li Zhang 0048 — College of The Sequoias, Business and Computer Science Department, Visalia, CA, USA (and 1 more)
- Li Zhang 0049 — Northwestern Polytechnical University, School of Mechanical Engineering, Xi'an, China
- Li Zhang 0050 — Tsinghua University, Department of Engineering Physics / MoE Key Laboratory of Particle and Radiation Imaging, Beijing, China
- Li Zhang 0051 — Xidian University, National Key Laboratory of Antennas and Microwave Technology, Xi'an, China
- Li Zhang 0052 — Soochow University, School of Computer Science and Technology, Suzhou, China
- Li Zhang 0053 — China University of Petroleum, College of Computer and Communication Engineering, Qingdao, China
- Li Zhang 0054 — Soochow University, Affiliated Changshu Hospital, Changshu, China
- Li Zhang 0055 — Northeastern University, Software College, Shenyang, China
- Li Zhang 0056 — Wuhan University, School of Electrical Engineering and Automation, China
- Li Zhang 0057 — Nanjing Forestry University, College of Computer Science and Technology, China (and 1 more)
- Li Zhang 0058 — Central South University, School of Automation, Changsha, China
- Li Zhang 0059 — Tianjin University of Science and Technology, School of Economics and Management, China (and 1 more)
- Li Zhang 0060 — Liaoning University, School of Life Science / Research Center for Computer Simulating and Information Processing of Bio-macromolecules of Liaoning Province, Shenyang, China
- Li Zhang 0061 — Hebei University of Technology, School of Control Science and Engineering, Tianjin, China
- Li Zhang 0062 — Henry Ford Health Sciences Center, Department of Neurology, Detroit, MI, USA
- Li Zhang 0063 — Nanyang Technological University, School of Mechanical and Aerospace Engineering, Singapore
- Li Zhang 0064 — Huazhong University of Science and Technology, Tongji Medical College, Union Hospital, Department of Ultrasound, Wuhan, China
- Li Zhang 0065 — Tsinghua University, Institute of Information System and Engineering, School of Software, Beijing, China
- Li Zhang 0066 — Shenzhen University, College of Information Engineering, China
- Li Zhang 0067 — Shanghai Jiao Tong University, State Key Lab of Advanced Optical Communication Systems and Networks, China
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2020 – today
- 2020
[j69]Chengxiang Hu, Li Zhang:
Efficient approaches for maintaining dominance-based multigranulation approximations with incremental granular structures. Int. J. Approx. Reason. 126: 202-227 (2020)- [j68]Baige Tang, Li Zhang:
Local preserving logistic I-Relief for semi-supervised feature selection. Neurocomputing 399: 48-64 (2020) - [j67]Chengxiang Hu, Li Zhang:
A dynamic framework for updating neighborhood multigranulation approximations with the variation of objects. Inf. Sci. 519: 382-406 (2020) - [j66]Yulin Sun, Zhao Zhang, Weiming Jiang, Zheng Zhang, Li Zhang, Shuicheng Yan, Meng Wang:
Discriminative Local Sparse Representation by Robust Adaptive Dictionary Pair Learning. IEEE Trans. Neural Networks Learn. Syst. 31(10): 4303-4317 (2020) - [c40]Qing-Qing Pang, Li Zhang:
Fast Backward Iterative Laplacian Score for Unsupervised Feature Selection. KSEM (1) 2020: 409-420 - [c39]Xiaohan Zheng, Li Zhang, Leilei Yan:
Feature Selection Using Sparse Twin Support Vector Machine with Correntropy-Induced Loss. KSEM (1) 2020: 434-445 - [c38]Yan Zhang, Zhao Zhang, Zheng Zhang, Mingbo Zhao, Li Zhang, Zhengjun Zha, Meng Wang:
Deep Self-representative Concept Factorization Network for Representation Learning. SDM 2020: 361-369
2010 – 2019
- 2019
- [j65]Zhe Wang, Li Zhang, Bangjun Wang:
Sparse modified marginal fisher analysis for facial expression recognition. Appl. Intell. 49(7): 2659-2671 (2019) - [j64]Chengxiang Hu, Li Zhang, Bangjun Wang, Zhao Zhang, Fanzhang Li:
Incremental updating knowledge in neighborhood multigranulation rough sets under dynamic granular structures. Knowl. Based Syst. 163: 811-829 (2019) - [j63]Li Zhang, Xiaojuan Huang, Weida Zhou:
Logistic local hyperplane-Relief: A feature weighting method for classification. Knowl. Based Syst. 181 (2019) - [j62]Li Zhang, Xingning Lu:
Feature Extraction Based on Support Vector Data Description. Neural Process. Lett. 49(2): 643-659 (2019) - [j61]Hongwei Yin, Fanzhang Li, Li Zhang, Zhao Zhang:
Multi-view clustering via spectral embedding fusion. Soft Comput. 23(1): 343-356 (2019) - [c37]Yangtao Xue, Li Zhang, Bangjun Wang, Fanzhang Li:
Feature Selection Based on the Kullback-Leibler Distance and its Application on Fault Diagnosis. CBD 2019: 246-251 - [c36]Zepeng Li, Li Zhang:
Subspace Ensemble-Based Neighbor User Searching for Neighborhood-Based Collaborative Filtering. DASFAA (2) 2019: 449-463 - [c35]Baige Tang, Li Zhang:
Multi-class Semi-supervised Logistic I-RELIEF Feature Selection Based on Nearest Neighbor. PAKDD (2) 2019: 281-292 - [c34]Jiangfei Cheng, Li Zhang:
Jaccard Coefficient-Based Bi-clustering and Fusion Recommender System for Solving Data Sparsity. PAKDD (2) 2019: 369-380 - [i3]Zhao Zhang, Weiming Jiang, Jie Qin, Li Zhang, Fanzhang Li, Min Zhang, Shuicheng Yan:
Jointly Learning Structured Analysis Discriminative Dictionary and Analysis Multiclass Classifier. CoRR abs/1905.11543 (2019) - [i2]Yulin Sun, Zhao Zhang, Weiming Jiang, Zheng Zhang, Li Zhang, Shuicheng Yan, Meng Wang:
Discriminative Local Sparse Representation by Robust Adaptive Dictionary Pair Learning. CoRR abs/1911.08680 (2019) - [i1]Yan Zhang, Zhao Zhang, Zheng Zhang, Mingbo Zhao, Li Zhang, Zhengjun Zha, Meng Wang:
Deep Self-representative Concept Factorization Network for Representation Learning. CoRR abs/1912.06444 (2019) - 2018
- [j60]Xiaojuan Huang, Li Zhang, Bangjun Wang, Fanzhang Li, Zhao Zhang:
Feature clustering based support vector machine recursive feature elimination for gene selection. Appl. Intell. 48(3): 594-607 (2018) - [j59]Li Zhang, Xingning Lu:
New fast feature selection methods based on multiple support vector data description. Appl. Intell. 48(7): 1776-1790 (2018) - [j58]Li Zhang, Weida Zhou, Bangjun Wang, Zhao Zhang, Fanzhang Li:
Applying 1-norm SVM with squared loss to gene selection for cancer classification. Appl. Intell. 48(7): 1878-1890 (2018) - [j57]Yangtao Xue, Li Zhang, Bangjun Wang, Zhao Zhang, Fanzhang Li:
Nonlinear feature selection using Gaussian kernel SVM-RFE for fault diagnosis. Appl. Intell. 48(10): 3306-3331 (2018) - [j56]Mengduo Yang, Fanzhang Li, Li Zhang, Zhao Zhang:
Deep learning algorithm with visual impression. Inf. Process. Lett. 136: 1-4 (2018) - [j55]Mengduo Yang, Fanzhang Li, Li Zhang, Zhao Zhang:
Lie group impression for deep learning. Inf. Process. Lett. 136: 12-16 (2018) - [j54]Li Zhang, Ya-Ping Lu, Bangjun Wang, Fanzhang Li, Zhao Zhang:
Sparse Auto-encoder with Smoothed l1 Regularization. Neural Process. Lett. 47(3): 829-839 (2018) - [j53]Yan Zhang, Zhao Zhang, Jie Qin, Li Zhang, Bing Li, Fanzhang Li:
Semi-supervised local multi-manifold Isomap by linear embedding for feature extraction. Pattern Recognit. 76: 662-678 (2018) - [j52]Xiaojuan Huang, Li Zhang, Bangjun Wang, Zhao Zhang, Fanzhang Li:
Feature weight estimation based on dynamic representation and neighbor sparse reconstruction. Pattern Recognit. 81: 388-403 (2018) - [j51]Zhao Zhang, Fanzhang Li, Lei Jia, Jie Qin, Li Zhang, Shuicheng Yan:
Robust Adaptive Embedded Label Propagation With Weight Learning for Inductive Classification. IEEE Trans. Neural Networks Learn. Syst. 29(8): 3388-3403 (2018) - [j50]Zhao Zhang, Weiming Jiang, Jie Qin, Li Zhang, Fanzhang Li, Min Zhang, Shuicheng Yan:
Jointly Learning Structured Analysis Discriminative Dictionary and Analysis Multiclass Classifier. IEEE Trans. Neural Networks Learn. Syst. 29(8): 3798-3814 (2018) - [c33]Bangjun Wang, Liu Yang, Li Zhang, Fanzhang Li:
Robust Multi-view Features Fusion Method Based on CNMF. ICONIP (4) 2018: 27-39 - [c32]Yangtao Xue, Li Zhang, Bangjun Wang, Baige Tang:
Density-Induced Support Vector Data Description for Fault Detection on Tennessee Eastman Process. ICONIP (4) 2018: 522-531 - [c31]Xiaohui Luo, Li Zhang, Fanzhang Li, Bangjun Wang:
Graph Embedding-Based Ensemble Learning for Image Clustering. ICPR 2018: 213-218 - [c30]Xinjian Wu, Li Zhang, Fanzhang Li, Bangjun Wang:
A Novel Model for Multi-label Image Annotation. ICPR 2018: 1953-1958 - [c29]Baige Tang, Li Zhang:
Semi-supervised Feature Selection Based on Logistic I-RELIEF for Multi-classification. PRICAI (1) 2018: 719-731 - 2017
- [j49]Liqiang Qian, Li Zhang, Xing Bao, Fanzhang Li, Jiwen Yang:
Supervised sparse neighbourhood preserving embedding. IET Image Process. 11(3): 190-199 (2017) - [j48]Bangjun Wang, Li Zhang, Fanzhang Li:
Supervised orthogonal discriminant projection based on double adjacency graphs for image classification. IET Image Process. 11(11): 1050-1058 (2017) - [j47]Zhao Zhang, Lei Wang, Lei Jia, Fanzhang Li, Li Zhang, Mingbo Zhao:
Projective label propagation by label embedding: A deep label prediction framework for representation and classification. Knowl. Based Syst. 119: 94-112 (2017) - [j46]Zhao Zhang, Lei Jia, Min Zhang, Bing Li, Li Zhang, Fanzhang Li:
Discriminative clustering on manifold for adaptive transductive classification. Neural Networks 94: 260-273 (2017) - [j45]Zhao Zhang, Mingbo Zhao, Fanzhang Li, Li Zhang, Shuicheng Yan:
Robust Alternating Low-Rank Representation by joint Lp- and L2, p-norm minimization. Neural Networks 96: 55-70 (2017) - [j44]Bangjun Wang, Li Zhang, Caili Wu, Fanzhang Li, Zhao Zhang:
Spectral clustering based on similarity and dissimilarity criterion. Pattern Anal. Appl. 20(2): 495-506 (2017) - [j43]Zhao Zhang, Yan Zhang, Fanzhang Li, Ming-Bo Zhao, Li Zhang, Shuicheng Yan:
Discriminative sparse flexible manifold embedding with novel graph for robust visual representation and label propagation. Pattern Recognit. 61: 492-510 (2017) - [j42]Tingwei Pei, Li Zhang, Bangjun Wang, Fanzhang Li, Zhao Zhang:
Decision pyramid classifier for face recognition under complex variations using single sample per person. Pattern Recognit. 64: 305-313 (2017) - [j41]Zhao Zhang, Weiming Jiang, Fanzhang Li, Mingbo Zhao, Bing Li, Li Zhang:
Structured Latent Label Consistent Dictionary Learning for Salient Machine Faults Representation-Based Robust Classification. IEEE Trans. Ind. Informatics 13(2): 644-656 (2017) - [j40]Zhao Zhang, Fanzhang Li, Mingbo Zhao, Li Zhang, Shuicheng Yan:
Robust Neighborhood Preserving Projection by Nuclear/L2, 1-Norm Regularization for Image Feature Extraction. IEEE Trans. Image Process. 26(4): 1607-1622 (2017) - [c28]Xiaojuan Huang, Li Zhang, Bangjun Wang, Zhao Zhang, Fanzhang Li:
Iterative Local Hyperlinear Learning Based Relief for Feature Weight Estimation. ICONIP (1) 2017: 345-355 - [c27]Yangtao Xue, Li Zhang, Bangjun Wang:
Dissimilarity-Based Sequential Backward Feature Selection Algorithm for Fault Diagnosis. ICONIP (4) 2017: 393-401 - [c26]Yangtao Xue, Li Zhang, Zhiwei Tao, Bangjun Wang, Fanzhang Li:
An Altered Kernel Transformation for Time Series Classification. ICONIP (5) 2017: 455-465 - [c25]Bangjun Wang, Li Zhang, Fanzhang Li:
Low-Frequency Representation for Face Recognition. ICONIP (6) 2017: 510-519 - 2016
- [j39]Mei Lu, Xiang-Jun Zhao, Li Zhang, Fanzhang Li:
Semi-supervised concept factorization for document clustering. Inf. Sci. 331: 86-98 (2016) - [j38]Li Zhang, Weida Zhou:
Fisher-regularized support vector machine. Inf. Sci. 343-344: 79-93 (2016) - [j37]Wenxuan Xu, Li Zhang, Ya-Ping Lu:
SD-MSAEs: Promoter recognition in human genome based on deep feature extraction. J. Biomed. Informatics 61: 55-62 (2016) - [j36]Mei Lu, Li Zhang, Xiang-Jun Zhao, Fanzhang Li:
Constrained neighborhood preserving concept factorization for data representation. Knowl. Based Syst. 102: 127-139 (2016) - [j35]Weiming Jiang, Zhao Zhang, Fanzhang Li, Li Zhang, Ming-Bo Zhao, Xiaohang Jin:
Joint Label Consistent Dictionary Learning and Adaptive Label Prediction for Semisupervised Machine Fault Classification. IEEE Trans. Ind. Informatics 12(1): 248-256 (2016) - [j34]Zhao Zhang, Fanzhang Li, Ming-Bo Zhao, Li Zhang, Shuicheng Yan:
Joint Low-Rank and Sparse Principal Feature Coding for Enhanced Robust Representation and Visual Classification. IEEE Trans. Image Process. 25(6): 2429-2443 (2016) - [j33]Zhao Zhang, Fanzhang Li, Tommy W. S. Chow, Li Zhang, Shuicheng Yan:
Sparse Codes Auto-Extractor for Classification: A Joint Embedding and Dictionary Learning Framework for Representation. IEEE Trans. Signal Process. 64(14): 3790-3805 (2016) - [c24]Li Zhang, Zhiwei Tao, Bangjun Wang:
SAR image target recognition using kernel sparse representation based on reconstruction coefficient energy maximization rule. ICASSP 2016: 2369-2373 - [c23]Zhao Zhang, Fanzhang Li, Mingbo Zhao, Li Zhang, Shuicheng Yan:
Nuclear-norm regularized neighborhood preserving projection. ICIP 2016: 56-60 - [c22]Li Zhang, Xiaojuan Huang, Bangjun Wang, Fanzhang Li, Zhao Zhang:
Hidden Space Neighbourhood Component Analysis for Cancer Classification. ICONIP (4) 2016: 44-51 - [c21]Li Zhang, Ya-Ping Lu, Zhao Zhang, Bangjun Wang, Fanzhang Li:
Sparse Auto-encoder with Smoothed l_1 Regularization. ICONIP (3) 2016: 555-563 - [c20]Zhiwei Tao, Li Zhang, Bangjun Wang, Fanzhang Li:
Time Series Classification Based on Multi-codebook Important Time Subsequence Approximation Algorithm. ICONIP (4) 2016: 582-589 - 2015
- [j32]Li Zhang, Liqiang Qian, Chuntao Ding, Weida Zhou, Fanzhang Li:
Similarity-balanced discriminant neighbor embedding and its application to cancer classification based on gene expression data. Comput. Biol. Medicine 64: 236-245 (2015) - [j31]Li Zhang, Yiqin Leng, Jiwen Yang, Fanzhang Li:
Supervised locally linear embedding algorithm based on orthogonal matching pursuit. IET Image Process. 9(8): 626-633 (2015) - [j30]Yiqin Leng, Li Zhang, Jiwen Yang:
Orthogonal matching pursuit-based incremental locally linear embedding algorithm. Int. J. Auton. Adapt. Commun. Syst. 8(2/3): 257-267 (2015) - [j29]Peipei Xia, Li Zhang, Fanzhang Li:
Learning similarity with cosine similarity ensemble. Inf. Sci. 307: 39-52 (2015) - [j28]Jin Cao, Li Zhang, Bangjun Wang, Fanzhang Li, Jiwen Yang:
A fast gene selection method for multi-cancer classification using multiple support vector data description. J. Biomed. Informatics 53: 381-389 (2015) - [j27]Xing Bao, Li Zhang, Mengmeng Zhao, Jiwen Yang:
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 42(5): 94-97 (2015) - [j26]Li Zhang, Weida Zhou, Fanzhang Li:
Kernel sparse representation-based classifier ensemble for face recognition. Multim. Tools Appl. 74(1): 123-137 (2015) - [j25]Chuntao Ding, Li Zhang:
Double adjacency graphs-based discriminant neighborhood embedding. Pattern Recognit. 48(5): 1734-1742 (2015) - [j24]Li Zhang, Weida Zhou:
Time series prediction using sparse regression ensemble based on ℓ2-ℓ1 problem. Soft Comput. 19(3): 781-792 (2015) - [c19]Zhao Zhang, Weiming Jiang, Fanzhang Li, Li Zhang, Ming-Bo Zhao, Lei Jia:
Projective Label Propagation by Label Embedding. CAIP (2) 2015: 470-481 - [c18]Li Zhang, Xiaojuan Huang:
Multiple SVM-RFE for multi-class gene selection on DNA Microarray data. IJCNN 2015: 1-6 - [c17]Li Zhang, Xingning Lu, Bangjun Wang, Shuping He:
Similarity learning based on multiple support vector data description. IJCNN 2015: 1-7 - [c16]Li Zhang, Weida Zhou, Bangjun Wang:
Filtering SAR imagery for edge detection using support value transform. IJCNN 2015: 1-8 - [c15]Li Zhang, Weida Zhou, Zhao Zhang, Jiwen Yang:
A fast approximation algorithm for 1-norm SVM with squared loss. IJCNN 2015: 1-8 - [c14]Weiming Jiang, Zhao Zhang, Fanzhang Li, Li Zhang, Ming-Bo Zhao:
Semi-supervised label consistent dictionary learning for machine fault classification. INDIN 2015: 1124-1129 - [c13]Zhao Zhang, Li Zhang, Ming-Bo Zhao, Weiming Jiang, Yuchen Liang, Fanzhang Li:
Semi-Supervised Image Classification by Nonnegative Sparse Neighborhood Propagation. ICMR 2015: 139-146 - 2014
- [c12]Chuntao Ding, Li Zhang, Bangjun Wang:
Hidden space discriminant neighborhood embedding. IJCNN 2014: 271-277 - [c11]Xing Bao, Li Zhang, Bangjun Wang, Ji-Wen Yang:
A supervised neighborhood preserving embedding for face recognition. IJCNN 2014: 278-284 - [c10]Ya-Ping Lu, Li Zhang, Bangjun Wang, Jiwen Yang:
Feature ensemble learning based on sparse autoencoders for image classification. IJCNN 2014: 1739-1745 - [c9]Yiqin Leng, Li Zhang, Jiwen Yang:
Locally Linear Embedding algorithm based on OMP for incremental learning. IJCNN 2014: 3100-3107 - 2013
- [j23]Weicai Zhong, Jing Liu, Li Zhang:
Evolutionary dynamics of continuous strategy games on graphs and social networks under weak selection. Biosyst. 111(2): 102-110 (2013) - [j22]Li Zhang, Weida Zhou, Pei-Chann Chang, Ji-Wen Yang, Fanzhang Li:
Iterated time series prediction with multiple support vector regression models. Neurocomputing 99: 411-422 (2013) - [j21]Di-di Wang, Pei-Chann Chang, Li Zhang, Jheng-Long Wu, Changle Zhou:
The stability analysis for a novel feedback neural network with partial connection. Neurocomputing 116: 22-29 (2013) - [j20]Li Zhang, Weida Zhou:
A fast algorithm for kernel 1-norm support vector machines. Knowl. Based Syst. 52: 223-235 (2013) - [j19]Li Zhang, Weida Zhou, Gui-Rong Chen, Ya-Ping Lu, Fanzhang Li:
Sparse signal reconstruction using decomposition algorithm. Knowl. Based Syst. 54: 172-179 (2013) - [j18]Li Zhang, Weida Zhou:
Analysis of programming properties and the row-column generation method for 1-norm support vector machines. Neural Networks 48: 32-43 (2013) - [j17]Li Zhang, Weida Zhou:
1-norm support vector novelty detection and its sparseness. Neural Networks 48: 125-132 (2013) - 2012
- [j16]Li Zhang, Xinghong Ling, Ji-Wen Yang, Xiaoqian Wang, Fanzhang Li:
Cascaded cluster ensembles. Int. J. Mach. Learn. Cybern. 3(4): 335-343 (2012) - [j15]Lin Xiong, Licheng Jiao, Shasha Mao, Li Zhang:
Active learning based on coupled KNN pseudo pruning. Neural Comput. Appl. 21(7): 1669-1686 (2012) - [j14]Li Zhang, Weida Zhou, Pei-Chann Chang, Jing Liu, Zhe Yan, Ting Wang, Fanzhang Li:
Kernel Sparse Representation-Based Classifier. IEEE Trans. Signal Process. 60(4): 1684-1695 (2012) - 2011
- [j13]Li Zhang, Weida Zhou, Pei-Chann Chang:
Generalized nonlinear discriminant analysis and its small sample size problems. Neurocomputing 74(4): 568-574 (2011) - [j12]Jing Liu, Jinshu Li, Weicai Zhong, Li Zhang, Ruochen Liu:
Minimum Span Frequency Assignment Based on a Multiagent Evolutionary Algorithm. Int. J. Swarm Intell. Res. 2(3): 29-42 (2011) - [j11]Li Zhang, Weida Zhou:
Sparse ensembles using weighted combination methods based on linear programming. Pattern Recognit. 44(1): 97-106 (2011) - [j10]Li Zhang, Weida Zhou:
Density-induced margin support vector machines. Pattern Recognit. 44(7): 1448-1460 (2011) - [c8]Li Zhang, Weida Zhou, Bing Liu:
Nonlinear Nearest Subspace Classifier. ICONIP (2) 2011: 638-645 - 2010
- [j9]Li Zhang, Weida Zhou, Licheng Jiao:
Complex-valued support vector classifiers. Digit. Signal Process. 20(3): 944-955 (2010) - [j8]Li Zhang, Weida Zhou:
On the sparseness of 1-norm support vector machines. Neural Networks 23(3): 373-385 (2010) - [c7]Xinrui Duan, Jing Liu, Li Zhang, Licheng Jiao:
Multi-Objective Job Shop Scheduling Based on Multiagent Evolutionary Algorithm. SEAL 2010: 543-552
2000 – 2009
- 2009
- [j7]Li Zhang, Yugeng Xi, Weida Zhou:
Identification and Control of Discrete-Time Nonlinear Systems Using Affine Support Vector Machines. Int. J. Artif. Intell. Tools 18(6): 929-947 (2009) - 2008
- [c6]Lei Wang, Jiaji Wu, Licheng Jiao, Li Zhang, Guangming Shi:
Lossy to lossless image compression based on reversible integer DCT. ICIP 2008: 1037-1040 - [c5]Li Zhang, Weida Zhou, Hua Zhang, Licheng Jiao:
Generalized Nonlinear Discriminant Analysis. ICPR 2008: 1-4 - 2007
- [j6]Li Zhang, Weida Zhou, Tian-Tian Su, Licheng Jiao:
Decision Tree Support Vector Machine. Int. J. Artif. Intell. Tools 16(1): 1-16 (2007) - [j5]Weisheng Dong, Guangming Shi, Li Zhang:
Immune memory clonal selection algorithms for designing stack filters. Neurocomputing 70(4-6): 777-784 (2007) - 2006
- [c4]Weida Zhou, Li Zhang, Licheng Jiao, Jin Pan:
Support Vector Regression Based on Unconstrained Convex Quadratic Programming. ICNC (1) 2006: 167-174 - [c3]Guangming Shi, Weisheng Dong, Li Zhang, Jin Pan:
A New Fast Algorithm for Training Large Window Stack Filters. ICNC (2) 2006: 724-733 - [c2]Weida Zhou, Li Zhang, Licheng Jiao:
Hidden Space Principal Component Analysis. PAKDD 2006: 801-805 - 2005
- [j4]Li Zhang, Weida Zhou, Licheng Jiao:
Support Vector Machines Based on the Orthogonal Projection Kernel of Father Wavelet. Int. J. Comput. Intell. Appl. 5(3): 283-304 (2005) - 2004
- [j3]Li Zhang, Weida Zhou, Licheng Jiao:
Hidden space support vector machines. IEEE Trans. Neural Networks 15(6): 1424-1434 (2004) - [j2]Li Zhang, Weida Zhou, Licheng Jiao:
Wavelet support vector machine. IEEE Trans. Syst. Man Cybern. Part B 34(1): 34-39 (2004) - [c1]Li Zhang, Yugeng Xi:
Nonlinear System Identification Based on an Improved Support Vector Regression Estimator. ISNN (1) 2004: 586-591 - 2002
- [j1]Weida Zhou, Li Zhang, Licheng Jiao:
Linear programming support vector machines. Pattern Recognit. 35(12): 2927-2936 (2002)
Coauthor Index
[j64] [j61] [c37] [i3] [j60] [j58] [j57] [j56] [j55] [j54] [j53] [j52] [j51] [j50] [c33] [c31] [c30] [j49] [j48] [j47] [j46] [j45] [j44] [j43] [j42] [j41] [j40] [c28] [c26] [c25] [j39] [j36] [j35] [j34] [j33] [c23] [c22] [c21] [c20] [j32] [j31] [j29] [j28] [j26] [c19] [c14] [c13] [j22] [j19] [j16] [j14]
Ming-Bo Zhao
aka: Mingbo Zhao
aka: Mingbo Zhao
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load references from crossref.org and opencitations.net
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Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
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Tweets on dblp homepage
Show tweets from 
on the dblp homepage.
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