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ORCIDLi Zhang 0004
Person information
- affiliation: Soochow University, School of Computer Science and Technology, Laboratory of Machine Learning and Neuromorphic Computing, Suzhou, China
- affiliation (2005 - 2010): Xidian University, Institute of Intelligent Information Processing, Xi'an, China
- affiliation (2003 - 2005): Shanghai Jiao Tong University, Institute of Automation, Shanghai, 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
![[0009-0009-4214-2174]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0009-0009-4214-2174")
— Google Inc., Mountain View, CA, USA (and 4 more) - Li Zhang 0002 — Amazon, Seattle, WA, USA (and 2 more)
- Li Zhang 0003 — Google, Seattle, WA, USA (and 3 more)
- Li Zhang 0005 — Catena Technologies (and 1 more)
- Li Zhang 0006 — Bytedance Inc., San Diego, CA, USA (and 3 more)
- Li Zhang 0007 — IBM China Research Lab, Beijing, China
- Li Zhang 0008 — Eastern Michigan University, Department of Computer Science, Ypsilanti, MI, USA (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 (aka: Li X. Zhang) — University of Leeds, School of Electronic and Electrical Engineering, Leeds, UK (and 1 more)
- Li Zhang 0012 — Nokia Siemens Beijing (and 1 more)
- Li Zhang 0013 — Royal Holloway, University of London, UK (and 3 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 — Jiangsu University, School of Electrical and Information Engineering, Zhenjiang, China (and 1 more)
- Li Zhang 0021 — Zhejiang University, Hangzhou, China (and 1 more)
- Li Zhang 0022 — Nanjing University of Science and Technology, School of Electronic and Optical Engineering, Nanjing, 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 2 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 (aka: Li "Harry" Zhang) — University of Pennsylvania, PA, USA (and 1 more)
- Li Zhang 0040 — Fudan University, School of Data Science, Shanghai Key Lab of Intelligent Information Processing, Shanghai, China (and 2 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 (and 1 more)
- 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, Shenyang Key Laboratory of 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 Electronics and Information Engineering, Shenzhen Key Laboratory of Antennas and Propagation, Shenzhen, China (and 2 more)
- Li Zhang 0067 — Shanghai Jiao Tong University, State Key Lab of Advanced Optical Communication Systems and Networks, China
- Li Zhang 0068 (aka: Li Zhang-Westman) — University of Nebraska at Omaha, Department of Economics, NE, USA
- Li Zhang 0070 — Northwestern Polytechnical University, Cyber-Physical Interaction Laboratory, Xi'an, China
- Li Zhang 0071 — Shandong University, School of Mechanical, Electrical and Information Engineering, Weihai, China
- Li Zhang 0072 — Zhengzhou University, School of Information Engineering, China
- Li Zhang 0073 — Shanghai University, School of Mechatronic Engineering and Automation, Shanghai Key Laboratory of Power Station Automation Technology, China
- Li Zhang 0074 — George Mason University, Fairfax, VA, USA
- Li Zhang 0075 — Bengbu Medical College, First Affiliated Hospital, Department of Infectious Disease, China
- Li Zhang 0076 — Shandong University, School of Electrical Engineering, Jinan, China
- Li Zhang 0077 — Nanyang Technological University, Energy Research Institute, Singapore (and 2 more)
- Li Zhang 0078 — Chongqing Jiaotong University, School of Economics and Management, China
- Li Zhang 0079 — Chinese Academy of Sciences, Aerospace Information Research Institute, Beijing, China
- Li Zhang 0080 — Beijing Jiaotong University, Beijing Key Laboratory of Security and Privacy in Intelligent Transportation, China
- Li Zhang 0081 — Beihang University, School of Transportation Science and Engineering, China
- Li Zhang 0082 — Jilin University, First Hospital, Changchun, China
- Li Zhang 0083 — Anhui University, School of Electronics and Information Engineering, Hefei, China
- Li Zhang 0084 — Northwestern Polytechnical University, School of Computer Science, Audio, Speech and Language Processing Group, Xi'an, China
- Li Zhang 0085 — Agricultural University of Hebei, College of Mechanical and Electrical Engineering, Hebei, China
- Li Zhang 0086 — Shaanxi Normal University, School of Computer Science, Xi'an, China
- Li Zhang 0087 — University of Leeds, School of Electronic and Electrical Engineering, Leeds, UK (and 1 more)
- Li Zhang 0088 — Hubei Minzu University, Department of Mathematics, Enshi, China
- Li Zhang 0089 — Shanghai Finance University, Department of Applied Mathematics, Shanghai, China
- Li Zhang 0090 — Washington University, Department of Systems Science and Mathematics, Saint Louis, MO, USA
- Li Zhang 0091 — University of Alberta, Department of Mathematical and Statistical Sciences, Edmonton, Canada
- Li Zhang 0092 — Southwest University, School of Electronic and Information Engineering, Key Laboratory of Networks and Cloud Computing Security of Universities in Chongqing, Chongqing, China
- Li Zhang 0093 — Wuhan University, School of Information Management, Information Retrieval and Knowledge Mining Laboratory, Wuhan, China
- Li Zhang 0094 — Changshu Hospital of Soochow University (Changshu No.1 People's Hospital), Changshu, China
- Li Zhang 0095 — Chongqing University, School of Electrical Engineering, State Key Laboratory of Power Transmission Equipment & System Security and New Technology, Chongqing, China
- Li Zhang 0096 — Hunan University of Science and Technology, School of Computer Science and Engineering, Xiangtan, China
- Li Zhang 0097 — Chinese PLA General Hospital, College of Life Sciences, Key Laboratory of Wound Repair and Regeneration of PLA, Beijing, China
- Li Zhang 0098 — King Abdullah University of Science and Technology (KAUST), Computer, Electrical, and Mathematical Science and Engineering (CEMSE) Division, Thuwal, Saudi Arabia
- Li Zhang 0099 — Communication University of Zhejiang, Department of Media Engineering, Hangzhou, China (and 2 more)
- Li Zhang 0100 — China University of Mining and Technology, Department of Physical Education, Beijing, China
- Li Zhang 0101 — Dezhou University, Energy and Mechanical College, Dezhou, China
- Li Zhang 0102 — Shijiazhuang No. 4 Hospital, Department of Gynaecology, Shijiazhuang, China
- Li Zhang 0103 — Beijing Information Science & Technology University, School of Information & Management, Beijing, China
- Li Zhang 0104 — Chinese Academy of Sciences, Hefei Institute of Physical Science, Hefei, China (and 1 more)
- Li Zhang 0105 — SenseTime Research, Hong Kong, China
- Li Zhang 0106 — Northwestern Polytechnical University, School of Computer Science, Xi'an, China
- Li Zhang 0107 — Jiangnan University, School of Artificial Intelligence and Computer Science, Wuxi, China
- Li Zhang 0108 — Chinese Academy of Sciences, Institute of Software, Trusted Computing and Information Assurance Laboratory, Beijing, China
- Li Zhang 0109 — Jiangsu University of Technology, College of Computer Engineering, Changzhou, China (and 1 more)
- Li Zhang 0110 — Shenzhen University, College of Electronics and Information Engineering, Shenzhen, China (and 2 more)
- Li Zhang 0111 — Harbin Medical University, College of Bioinformatics Science and Technology, Harbin, China
- Li Zhang 0112 — Chinese Institute for Brain Research (CIBR), Beijing, China
- Li Zhang 0113 — Shangqiu Normal University, College of Biology and Food, Henan Provincial Key University Laboratory for Plant-Microbe Interactions, Shangqiu, China
- Li Zhang 0115 — The Citadel, Department of Mathematical Sciences, Charleston, SC, USA
- Li Zhang 0116 — Shanghai Changning Mental Health Center, Shanghai, China
- Li Zhang 0117 — University of Stuttgart, Institute of Engineering Geodesy, Stuttgart, Germany
- Li Zhang 0118 — Huazhong Agricultural University, College of Animal Science and Technology, Department of Animal Nutrition and Feed Science, Wuhan, China
- Li Zhang 0119 — General Hospital of Jizhong Energy Xingtai Mining Industry Group Co., Ltd., Xingtai, China
- Li Zhang 0120 — Southwest Jiaotong University, School of Mechanical Engineering, Engineering Research Center of Advanced Driving Energy-saving Technology, Chengdu, China
- Li Zhang 0121 — Shanghai Institute of Spacecraft Equipment, Shanghai, China
- Li Zhang 0122 — Qilu University of Technology, Department of Computer Science and Technology, Jinan, China
- Li Zhang 0123 — Nanjing University, School of Electronic Science and Engineering, Nanjing, China
- Li Zhang 0124 — Shandong Women's University, Jinan, China
- Li Zhang 0125 — East China Normal University, School of Life Sciences, Institute of Biomedical Sciences, Key Laboratory of Regulatory Biology, Center for Bioinformatics and Computational Biology, Shanghai, China
- Li Zhang 0126 — Shenzhen University, College of Information Engineering, Shenzhen, China (and 1 more)
- Li Zhang 0127 — Southeast University, College of Electrical Engineering, Nanjing, China (and 1 more)
- Li Zhang 0128 — Shandong University, School of Control Science and Engineering, Jinan, China
- Li Zhang 0129 — Facebook, Menlo Park, CA, USA (and 2 more)
- Li Zhang 0130 — Rensselaer Polytechnic Institute, USA
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2020 – today
- 2024
[j110]Xinyi Chen, Li Zhang, Lei Zhao, Xiaofang Zhang:
Constrained feature weighting for semi-supervised learning. Appl. Intell. 54(20): 9987-10006 (2024)- [j109]Xiaohan Zheng, Li Zhang, Leilei Yan, Lei Zhao:
Semi-supervised regression with label-guided adaptive graph optimization. Appl. Intell. 54(21): 10671-10694 (2024) - [j108]Chuangwei Wang, Li Zhang, Xiaofang Zhang:
Multi-grained contextual code representation learning for commit message generation. Inf. Softw. Technol. 167: 107393 (2024) - [j107]Leilei Yan, Li Zhang, Xiaohan Zheng, Fanzhang Li:
Deep feature network with multi-scale fusion for highly congested crowd counting. Int. J. Mach. Learn. Cybern. 15(3): 819-835 (2024) - [j106]Rui Mao, Li Zhang, Xiaofang Zhang:
Mutation-based data augmentation for software defect prediction. J. Softw. Evol. Process. 36(6) (2024) - [j105]Yangtao Xue, Li Zhang:
Adaptive Pair-Weight Vector Projection Classifier for Semi-Supervised Classification. IEEE Trans. Consumer Electron. 70(1): 3269-3278 (2024) - [c83]Shenzhi Yang, Li Zhang, Xiaofang Zhang:
FastGAT: Simple and Efficient Graph Attention Neural Network with Global-Aware Adaptive Computational Node Attention. ICASSP 2024: 5555-5559 - 2023
- [j104]Leilei Yan, Fanzhang Li, Li Zhang, Xiaohan Zheng:
Discriminant space metric network for few-shot image classification. Appl. Intell. 53(14): 17444-17459 (2023) - [j103]Changzhi Su, Li Zhang, Lei Zhao:
Online local fisher risk minimization: a new online kernel method for online classification. Appl. Intell. 53(14): 17662-17678 (2023) - [j102]Lingbin Jin, Li Zhang, Lei Zhao:
Max-difference maximization criterion: a feature selection method for text categorization. Frontiers Comput. Sci. 17(1): 171337 (2023) - [j101]Lingbin Jin, Li Zhang, Lei Zhao:
Feature selection based on absolute deviation factor for text classification. Inf. Process. Manag. 60(3): 103251 (2023) - [j100]Zhen Wei, Li Zhang, Lei Zhao:
Minority-prediction-probability-based oversampling technique for imbalanced learning. Inf. Sci. 622: 1273-1295 (2023) - [j99]Xinyi Chen, Li Zhang, Lei Zhao:
Iterative constraint score based on hypothesis margin for semi-supervised feature selection. Knowl. Based Syst. 271: 110577 (2023) - [j98]Li Zhang, Lingbin Jin, Min Gan, Lei Zhao, Hongwei Yin:
Reinforced feature selection using Q-learning based on collaborative agents. Int. J. Mach. Learn. Cybern. 14(11): 3867-3882 (2023) - [j97]Xiaohan Zheng, Li Zhang, Zhiqiang Xu:
L1-norm Laplacian support vector machine for data reduction in semi-supervised learning. Neural Comput. Appl. 35(17): 12343-12360 (2023) - [j96]Qiang Dai, Xi Cheng, Li Zhang, Le-Kang Sun:
Adaptive Multispectral Encoding Network for Image Demoiréing. IEEE Trans. Instrum. Meas. 72: 1-14 (2023) - [j95]Li Zhang, Leilei Yan, Mengqian Zhang, Jingang Lu:
T2CNN: a novel method for crowd counting via two-task convolutional neural network. Vis. Comput. 39(1): 73-85 (2023) - [c82]Leilei Yan, Fanzhang Li, Xiaohan Zheng, Li Zhang:
Few-Shot Learning via Task-Aware Discriminant Local Descriptors Network. CIKM 2023: 2887-2894 - [c81]Changzhi Su, Li Zhang, Lei Zhao:
FFTRL: A Sparse Online Kernel Classification Algorithm for Large Scale Data. ICANN (1) 2023: 195-206 - [c80]Yangtao Xue, Li Zhang:
Semi-supervised Multi-class Classification Methods Based on Laplacian Vector Projection. NCAA (1) 2023: 160-174 - [c79]Huangkai Zhang, Li Zhang:
Weak Correlation-Based Discriminative Dictionary Learning for Image Classification. PAKDD (1) 2023: 159-170 - 2022
- [j94]Xiaohan Sun, Li Zhang:
Multi-order nearest neighbor prediction for recommendation systems. Digit. Signal Process. 127: 103540 (2022) - [j93]Li Zhang, Meng-Qian Zhang, Xuerui Lv:
HEp-2 image classification using a multi-class and multiple-binary classifier. Medical Biol. Eng. Comput. 60(11): 3113-3124 (2022) - [j92]Leilei Yan, Li Zhang, Xiaohan Zheng, Fanzhang Li:
Deeper multi-column dilated convolutional network for congested crowd understanding. Neural Comput. Appl. 34(2): 1407-1422 (2022) - [j91]Xiaohan Zheng, Li Zhang, Leilei Yan:
Sparse discriminant twin support vector machine for binary classification. Neural Comput. Appl. 34(19): 16173-16198 (2022) - [j90]Mei Lu, Li Zhang, Fanzhang Li:
Adaptively local consistent concept factorization for multi-view clustering. Soft Comput. 26(3): 1043-1055 (2022) - [c78]Xiang Yu, Li Zhang, Mei Shen:
Nantong Blue Calico Image Dataset and Its Recognition. CEC 2022: 1-7 - [c77]Qiang Dai, Xi Cheng, Li Zhang:
Multi-spectral Dynamic Feature Encoding Network for Image Demoiréing. ICANN (4) 2022: 151-162 - [c76]Zhen Wei, Li Zhang, Lei Zhao:
DSPOTE: Density-induced Selection Probability-based Oversampling TEchnique for Imbalanced Learning. ICPR 2022: 1-7 - [c75]Lingbin Jin, Li Zhang:
Discriminant Variance Criterion for Sentiment Analysis. ICPR 2022: 3056-3062 - [c74]Le-Kang Sun, Li Zhang, Qiang Dai, Yue-Feng Li:
FP60 and FSNet: A Benchmark Dataset and a Family-Species Network for Forestry Pest Recognition. ICPR 2022: 4850-4856 - [c73]Lingbin Jin, Li Zhang:
De-redundancy Relative Discrimination Criterion-based Feature Selection for Text Data. IJCNN 2022: 1-8 - [c72]Xiaohan Zheng, Li Zhang, Zhengqi Zhang:
Sparse Support Vector Machine with Fisher-Regularizer for Data Reduction. IJCNN 2022: 1-7 - [c71]Yangtao Xue, Li Zhang:
Laplacain Pair-Weight Vector Projection with Adaptive Neighbor Graph for Semi-supervised Learning. NCAA (1) 2022: 235-246 - 2021
- [j89]Min Gan, Li Zhang:
Iteratively local fisher score for feature selection. Appl. Intell. 51(8): 6167-6181 (2021) - [j88]Li Zhang, Zepeng Li, Xiaohan Sun:
Iterative rating prediction for neighborhood-based collaborative filtering. Appl. Intell. 51(10): 6810-6822 (2021) - [j87]Li Zhang, Xiaohan Zheng, Qing-Qing Pang, Weida Zhou:
Fast Gaussian kernel support vector machine recursive feature elimination algorithm. Appl. Intell. 51(12): 9001-9014 (2021) - [j86]Yan Zhang, Zhao Zhang, Yang Wang, Zheng Zhang, Li Zhang, Shuicheng Yan, Meng Wang:
Dual-Constrained Deep Semi-Supervised Coupled Factorization Network with Enriched Prior. Int. J. Comput. Vis. 129(12): 3233-3254 (2021) - [j85]Zhao Zhang, Yan Zhang, Mingliang Xu, Li Zhang, Yi Yang, Shuicheng Yan:
A Survey on Concept Factorization: From Shallow to Deep Representation Learning. Inf. Process. Manag. 58(3): 102534 (2021) - [j84]Xiaohan Zheng, Li Zhang, Leilei Yan:
CTSVM: A robust twin support vector machine with correntropy-induced loss function for binary classification problems. Inf. Sci. 559: 22-45 (2021) - [j83]Yangtao Xue, Li Zhang:
Laplacian pair-weight vector projection for semi-supervised learning. Inf. Sci. 573: 1-19 (2021) - [j82]Chengxiang Hu, Li Zhang, Shixi Liu:
Incremental approaches to update multigranulation approximations for dynamic information systems. J. Intell. Fuzzy Syst. 40(3): 4661-4682 (2021) - [j81]Chengxiang Hu, Li Zhang:
Dynamic dominance-based multigranulation rough sets approaches with evolving ordered data. Int. J. Mach. Learn. Cybern. 12(1): 17-38 (2021) - [j80]Qing-Qing Pang, Li Zhang:
A recursive feature retention method for semi-supervised feature selection. Int. J. Mach. Learn. Cybern. 12(9): 2639-2657 (2021) - [j79]Zepeng Li, Li Zhang:
Fast neighbor user searching for neighborhood-based collaborative filtering with hybrid user similarity measures. Soft Comput. 25(7): 5323-5338 (2021) - [j78]Zhengqi Zhang, Li Zhang, Meng Zhang:
Dissimilarity-based nearest neighbor classifier for single-sample face recognition. Vis. Comput. 37(4): 673-684 (2021) - [c70]Yan Zhang, Zhao Zhang, Yang Wang, Zheng Zhang, Li Zhang, Shuicheng Yan, Meng Wang:
Partial-Label and Structure-constrained Deep Coupled Factorization Network. AAAI 2021: 10948-10955 - [c69]Jiaqi Wang, Li Zhang:
Discriminant Mutual Information for Text Feature Selection. DASFAA (2) 2021: 136-151 - [c68]Houshun Yu, Li Zhang:
Partial Feature Aggregation Network for Real-Time Object Counting. ICASSP 2021: 2405-2409 - [c67]Xuerui Lv, Li Zhang:
Feature Fusion Learning Based on LSTM and CNN Networks for Trend Analysis of Limit Order Books. ICONIP (4) 2021: 125-137 - [c66]Zhengqi Zhang, Li Zhang, Zhao Zhang:
Fisher-regularized Support Vector Machine with Pinball Loss Function. IJCNN 2021: 1-8 - [c65]Min Gan, Li Zhang:
Q-Learning with Fisher Score for Feature Selection of Large-Scale Data Sets. KSEM 2021: 306-318 - [c64]Xuerui Lv, Li Zhang:
Residual Gated Recurrent Unit-Based Stacked Network for Stock Trend Prediction from Limit Order Book. KSEM 2021: 351-363 - [c63]Xiaohan Zheng, Li Zhang, Leilei Yan:
Sample Reduction Using ℓ 1-Norm Twin Bounded Support Vector Machine. NCAA 2021: 141-153 - 2020
- [j77]Chengxiang Hu, Li Zhang:
Incremental updating probabilistic neighborhood three-way regions with time-evolving attributes. Int. J. Approx. Reason. 120: 1-23 (2020) - [j76]Chengxiang Hu, Li Zhang:
Efficient approaches for maintaining dominance-based multigranulation approximations with incremental granular structures. Int. J. Approx. Reason. 126: 202-227 (2020) - [j75]Baige Tang, Li Zhang:
Local preserving logistic I-Relief for semi-supervised feature selection. Neurocomputing 399: 48-64 (2020) - [j74]Chengxiang Hu, Li Zhang:
A dynamic framework for updating neighborhood multigranulation approximations with the variation of objects. Inf. Sci. 519: 382-406 (2020) - [j73]Qing-Qing Pang, Li Zhang:
Semi-supervised neighborhood discrimination index for feature selection. Knowl. Based Syst. 204: 106224 (2020) - [j72]Zeming Tang, Weiming Jiang, Zhao Zhang, Mingbo Zhao, Li Zhang, Meng Wang:
DenseNet with Up-Sampling block for recognizing texts in images. Neural Comput. Appl. 32(11): 7553-7561 (2020) - [j71]Xianzhen Li, Zhao Zhang, Li Zhang, Meng Wang:
Mutual-manifold regularized robust fast latent LRR for subspace recovery and learning. Neural Comput. Appl. 32(17): 13363-13376 (2020) - [j70]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) - [c62]Shi Xu, Li Zhang:
Densely Multi-path Network for Single Image Super-Resolution. ICONIP (1) 2020: 253-265 - [c61]Li Zhang, Qing-Qing Pang, Zhiqiang Xu, Xiaohan Zheng:
Data Reduction for Noisy Data Classification Using Semi-supervised Manifold-Preserving Graph Reduction. ICONIP (5) 2020: 291-299 - [c60]Xiaohan Zheng, Li Zhang, Leilei Yan:
Feature Selection Using Sparse Twin Bounded Support Vector Machine. ICONIP (2) 2020: 357-369 - [c59]Qing-Qing Pang, Li Zhang:
Forward Iterative Feature Selection Based on Laplacian Score. ICONIP (2) 2020: 381-392 - [c58]Houshun Yu, Li Zhang:
LCNet: A Light-Weight Network for Object Counting. ICONIP (1) 2020: 411-422 - [c57]Qing-Qing Pang, Li Zhang:
Fast Backward Iterative Laplacian Score for Unsupervised Feature Selection. KSEM (1) 2020: 409-420 - [c56]Xiaohan Zheng, Li Zhang, Leilei Yan:
Feature Selection Using Sparse Twin Support Vector Machine with Correntropy-Induced Loss. KSEM (1) 2020: 434-445 - [c55]Li Zhang, Xiaohan Sun, Jiangfei Cheng, Zepeng Li:
Reliable Neighbors-Based Collaborative Filtering for Recommendation Systems. NCAA 2020: 60-71 - [c54]Li Zhang, Xiaohan Zheng, Zhiqiang Xu:
Semi-supervised Feature Selection Using Sparse Laplacian Support Vector Machine. NCAA 2020: 107-118 - [c53]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 - [i5]Zhao Zhang, Yan Zhang, Li Zhang, Shuicheng Yan:
A Survey on Concept Factorization: From Shallow to Deep Representation Learning. CoRR abs/2007.15840 (2020) - [i4]Yan Zhang, Zhao Zhang, Yang Wang, Zheng Zhang, Li Zhang, Shuicheng Yan, Meng Wang:
Dual-constrained Deep Semi-Supervised Coupled Factorization Network with Enriched Prior. CoRR abs/2009.03714 (2020)
2010 – 2019
- 2019
- [j69]Zhe Wang, Li Zhang, Bangjun Wang:
Sparse modified marginal fisher analysis for facial expression recognition. Appl. Intell. 49(7): 2659-2671 (2019) - [j68]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) - [j67]Li Zhang, Xiaojuan Huang, Weida Zhou:
Logistic local hyperplane-Relief: A feature weighting method for classification. Knowl. Based Syst. 181 (2019) - [j66]Li Zhang, Xingning Lu:
Feature Extraction Based on Support Vector Data Description. Neural Process. Lett. 49(2): 643-659 (2019) - [j65]Hongwei Yin, Fanzhang Li, Li Zhang, Zhao Zhang:
Multi-view clustering via spectral embedding fusion. Soft Comput. 23(1): 343-356 (2019) - [c52]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 - [c51]Jingang Lu, Li Zhang:
Crowd Counting via Residual Multi-Scale Convolutional Neural Network. CBD 2019: 315-320 - [c50]Zepeng Li, Li Zhang:
Subspace Ensemble-Based Neighbor User Searching for Neighborhood-Based Collaborative Filtering. DASFAA (2) 2019: 449-463 - [c49]Leilei Yan, Li Zhang:
Unsupervised Dimension Reduction Using Supervised Orthogonal Discriminant Projection for Clustering. HPCC/SmartCity/DSS 2019: 2239-2246 - [c48]Baige Tang, Li Zhang:
Multi-class Semi-supervised Logistic I-RELIEF Feature Selection Based on Nearest Neighbor. PAKDD (2) 2019: 281-292 - [c47]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
- [j64]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) - [j63]Li Zhang, Xingning Lu:
New fast feature selection methods based on multiple support vector data description. Appl. Intell. 48(7): 1776-1790 (2018) - [j62]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) - [j61]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) - [j60]Mengduo Yang, Fanzhang Li, Li Zhang, Zhao Zhang:
Deep learning algorithm with visual impression. Inf. Process. Lett. 136: 1-4 (2018) - [j59]Mengduo Yang, Fanzhang Li, Li Zhang, Zhao Zhang:
Lie group impression for deep learning. Inf. Process. Lett. 136: 12-16 (2018) - [j58]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) - [j57]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) - [j56]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) - [j55]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) - [j54]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) - [c46]Bangjun Wang, Liu Yang, Li Zhang, Fanzhang Li:
Robust Multi-view Features Fusion Method Based on CNMF. ICONIP (4) 2018: 27-39 - [c45]Xiaohui Luo, Li Zhang, Fanzhang Li, Chengxiang Hu:
Unsupervised Ensemble Learning Based on Graph Embedding for Image Clustering. ICONIP (3) 2018: 38-47 - [c44]Qingyun Dou, Li Zhang:
Decision Tree Twin Support Vector Machine Based on Kernel Clustering for Multi-class Classification. ICONIP (4) 2018: 293-303 - [c43]Jun Lu, Li Zhang:
Cascaded Deep Hashing for Large-Scale Image Retrieval. ICONIP (6) 2018: 419-429 - [c42]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 - [c41]Xiaohui Luo, Li Zhang, Fanzhang Li, Bangjun Wang:
Graph Embedding-Based Ensemble Learning for Image Clustering. ICPR 2018: 213-218 - [c40]Hongwei Yin, Fanzhang Li, Li Zhang:
Multi-Source Clustering based on spectral recovery. ICPR 2018: 231-236 - [c39]Shuning Huang, Li Zhang, Fanzhang Li:
Spectral Embedded Clustering on Multi-Manifold. ICPR 2018: 391-396 - [c38]Peng Zou, Fanzhang Li, Li Zhang:
Nonnegative and Adaptive Multi-view Clustering. ICPR 2018: 1247-1252 - [c37]Xinjian Wu, Li Zhang, Fanzhang Li, Bangjun Wang:
A Novel Model for Multi-label Image Annotation. ICPR 2018: 1953-1958 - [c36]Xiaoxiang Xu, Li Zhang, Fanzhang Li:
MSSVT: Multi-scale feature extraction for single face recognition. ICPR 2018: 1996-2001 - [c35]Zhiqiang Xu, Li Zhang:
Supervised Manifold-Preserving Graph Reduction for Noisy Data Classification. KSEM (1) 2018: 226-237 - [c34]Baige Tang, Li Zhang:
Semi-supervised Feature Selection Based on Logistic I-RELIEF for Multi-classification. PRICAI (1) 2018: 719-731 - 2017
- [j53]Liqiang Qian, Li Zhang, Xing Bao, Fanzhang Li, Jiwen Yang:
Supervised sparse neighbourhood preserving embedding. IET Image Process. 11(3): 190-199 (2017) - [j52]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) - [j51]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) - [j50]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) - [j49]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) - [j48]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) - [j47]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) - [j46]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) - [j45]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) - [j44]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) - [c33]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 - [c32]Yangtao Xue, Li Zhang, Bangjun Wang:
Dissimilarity-Based Sequential Backward Feature Selection Algorithm for Fault Diagnosis. ICONIP (4) 2017: 393-401 - [c31]Yangtao Xue, Li Zhang, Zhiwei Tao, Bangjun Wang, Fanzhang Li:
An Altered Kernel Transformation for Time Series Classification. ICONIP (5) 2017: 455-465 - [c30]Bangjun Wang, Li Zhang, Fanzhang Li:
Low-Frequency Representation for Face Recognition. ICONIP (6) 2017: 510-519 - [c29]Meng Zhang, Li Zhang, Chengxiang Hu:
Single Sample Face Recognition Based on Global Local Binary Pattern Feature Extraction. ICONIP (6) 2017: 530-539 - 2016
- [j43]Mei Lu, Xiang-Jun Zhao, Li Zhang, Fanzhang Li:
Semi-supervised concept factorization for document clustering. Inf. Sci. 331: 86-98 (2016) - [j42]Li Zhang, Weida Zhou:
Fisher-regularized support vector machine. Inf. Sci. 343-344: 79-93 (2016) - [j41]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) - [j40]Mei Lu, Li Zhang, Xiang-Jun Zhao, Fanzhang Li:
Constrained neighborhood preserving concept factorization for data representation. Knowl. Based Syst. 102: 127-139 (2016) - [j39]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) - [j38]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) - [j37]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) - [c28]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 - [c27]Zhao Zhang, Fanzhang Li, Mingbo Zhao, Li Zhang, Shuicheng Yan:
Nuclear-norm regularized neighborhood preserving projection. ICIP 2016: 56-60 - [c26]Li Zhang, Xiaojuan Huang, Bangjun Wang, Fanzhang Li, Zhao Zhang:
Hidden Space Neighbourhood Component Analysis for Cancer Classification. ICONIP (4) 2016: 44-51 - [c25]Li Zhang, Ya-Ping Lu, Zhao Zhang, Bangjun Wang, Fanzhang Li:
Sparse Auto-encoder with Smoothed l_1 Regularization. ICONIP (3) 2016: 555-563 - [c24]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
- [j36]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) - [j35]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) - [j34]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) - [j33]Peipei Xia, Li Zhang, Fanzhang Li:
Learning similarity with cosine similarity ensemble. Inf. Sci. 307: 39-52 (2015) - [j32]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) - [j31]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) - [j30]Li Zhang, Weida Zhou, Fanzhang Li:
Kernel sparse representation-based classifier ensemble for face recognition. Multim. Tools Appl. 74(1): 123-137 (2015) - [j29]Chuntao Ding, Li Zhang:
Double adjacency graphs-based discriminant neighborhood embedding. Pattern Recognit. 48(5): 1734-1742 (2015) - [j28]Li Zhang, Weida Zhou:
Time series prediction using sparse regression ensemble based on ℓ2-ℓ1 problem. Soft Comput. 19(3): 781-792 (2015) - [c23]Zhao Zhang, Weiming Jiang, Fanzhang Li, Li Zhang, Ming-Bo Zhao, Lei Jia:
Projective Label Propagation by Label Embedding. CAIP (2) 2015: 470-481 - [c22]Li Zhang, Xiaojuan Huang:
Multiple SVM-RFE for multi-class gene selection on DNA Microarray data. IJCNN 2015: 1-6 - [c21]Li Zhang, Ya-Ping Lu:
Comparison of auto-encoders with different sparsity regularizers. IJCNN 2015: 1-5 - [c20]Li Zhang, Xingning Lu, Bangjun Wang, Shuping He:
Similarity learning based on multiple support vector data description. IJCNN 2015: 1-7 - [c19]Li Zhang, Weida Zhou, Bangjun Wang:
Filtering SAR imagery for edge detection using support value transform. IJCNN 2015: 1-8 - [c18]Li Zhang, Weida Zhou, Zhao Zhang, Jiwen Yang:
A fast approximation algorithm for 1-norm SVM with squared loss. IJCNN 2015: 1-8 - [c17]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 - [c16]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
- [j27]Luoqi Liu, Li Zhang, Hairong Liu, Shuicheng Yan:
Toward Large-Population Face Identification in Unconstrained Videos. IEEE Trans. Circuits Syst. Video Technol. 24(11): 1874-1884 (2014) - [c15]Chuntao Ding, Li Zhang, Bangjun Wang:
Hidden space discriminant neighborhood embedding. IJCNN 2014: 271-277 - [c14]Xing Bao, Li Zhang, Bangjun Wang, Ji-Wen Yang:
A supervised neighborhood preserving embedding for face recognition. IJCNN 2014: 278-284 - [c13]Chuntao Ding, Li Zhang, Ya-Ping Lu, Shuping He:
Similarity-balanced Discriminant Neighborhood Embedding. IJCNN 2014: 1213-1220 - [c12]Ya-Ping Lu, Li Zhang, Bangjun Wang, Jiwen Yang:
Feature ensemble learning based on sparse autoencoders for image classification. IJCNN 2014: 1739-1745 - [c11]Peipei Xia, Li Zhang:
Solving unbalanced problems in similarity learning using SVM ensemble. IJCNN 2014: 1762-1768 - [c10]Yiqin Leng, Li Zhang, Jiwen Yang:
Locally Linear Embedding algorithm based on OMP for incremental learning. IJCNN 2014: 3100-3107 - 2013
- [j26]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) - [j25]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) - [j24]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) - [j23]Li Zhang, Weida Zhou:
A fast algorithm for kernel 1-norm support vector machines. Knowl. Based Syst. 52: 223-235 (2013) - [j22]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) - [j21]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) - [j20]Li Zhang, Weida Zhou:
1-norm support vector novelty detection and its sparseness. Neural Networks 48: 125-132 (2013) - 2012
- [j19]Jie Lin, Guangming Shi, Xuyang Chen, Fei Qi, Li Zhang, Xuemei Xie:
High-resolution ranging method based on low-rate parallel random sampling. Digit. Signal Process. 22(2): 219-225 (2012) - [j18]Li Zhang, Xinghong Ling, Ji-Wen Yang, Xiaoqian Wang, Fanzhang Li:
Cascaded cluster ensembles. Int. J. Mach. Learn. Cybern. 3(4): 335-343 (2012) - [j17]Lin Xiong, Licheng Jiao, Shasha Mao, Li Zhang:
Active learning based on coupled KNN pseudo pruning. Neural Comput. Appl. 21(7): 1669-1686 (2012) - [j16]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
- [j15]Li Zhang, Weida Zhou, Pei-Chann Chang:
Generalized nonlinear discriminant analysis and its small sample size problems. Neurocomputing 74(4): 568-574 (2011) - [j14]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) - [j13]Li Zhang, Weida Zhou:
Sparse ensembles using weighted combination methods based on linear programming. Pattern Recognit. 44(1): 97-106 (2011) - [j12]Li Zhang, Weida Zhou:
Density-induced margin support vector machines. Pattern Recognit. 44(7): 1448-1460 (2011) - [c9]Li Zhang, Weida Zhou, Bing Liu:
Nonlinear Nearest Subspace Classifier. ICONIP (2) 2011: 638-645 - 2010
- [j11]Li Zhang, Weida Zhou, Licheng Jiao:
Complex-valued support vector classifiers. Digit. Signal Process. 20(3): 944-955 (2010) - [j10]Li Zhang, Weida Zhou:
On the sparseness of 1-norm support vector machines. Neural Networks 23(3): 373-385 (2010) - [c8]Xinrui Duan, Jing Liu, Li Zhang, Licheng Jiao:
Multi-Objective Job Shop Scheduling Based on Multiagent Evolutionary Algorithm. SEAL 2010: 543-552 - [c7]Zan Yin, Li Zhang, Guangming Shi:
Efficient architecture for adaptive directional lifting-based wavelet transform. VCIP 2010: 77442Q
2000 – 2009
- 2009
- [j9]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) - [j8]Guangming Shi, Weifeng Liu, Li Zhang, Fu Li:
An Efficient Folded Architecture for Lifting-Based Discrete Wavelet Transform. IEEE Trans. Circuits Syst. II Express Briefs 56-II(4): 290-294 (2009) - 2008
- [j7]Guangming Shi, Jie Lin, Xuyang Chen, Fei Qi, Danhua Liu, Li Zhang:
UWB Echo Signal Detection With Ultra-Low Rate Sampling Based on Compressed Sensing. IEEE Trans. Circuits Syst. II Express Briefs 55-II(4): 379-383 (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
[j107] [j104] [c82] [j92] [j90] [j68] [j65] [c52] [i3] [j64] [j62] [j61] [j60] [j59] [j58] [j57] [j56] [j55] [j54] [c46] [c45] [c41] [c40] [c39] [c38] [c37] [c36] [j53] [j52] [j51] [j50] [j49] [j48] [j47] [j46] [j45] [j44] [c33] [c31] [c30] [j43] [j40] [j39] [j38] [j37] [c27] [c26] [c25] [c24] [j36] [j35] [j33] [j32] [j30] [c23] [c17] [c16] [j25] [j22] [j18] [j16]
Ming-Bo Zhao
aka: Mingbo Zhao
aka: Mingbo Zhao
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