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Zheng Wang 0037

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affiliation: Northwestern Polytechnical University, School of Computer Science and Center for OPTical IMagery Analysis and Learning (OPTIMAL), Xi'an, China

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Zheng Wang — disambiguation page
Zheng Wang 0001 — University of Leeds, School of Computing, Leeds, UK (and 1 more)
Zheng Wang 0002 — University of Hong Kong, Department of Mechanical Engineering, Hong Kong (and 3 more)
Zheng Wang 0003 (aka: Zheng Joyce Wang) — Ohio State University, School of Communication, Center for Cognitive and Brain Sciences, Columbus, OH, USA
Zheng Wang 0004 — Drexel University, Philadelphia, PA, USA
Zheng Wang 0005 — Beijing Institute of Control Engineering, Beijing, China (and 1 more)
Zheng Wang 0006 — University of California, Santa Cruz, CA, USA
Zheng Wang 0007 — Wuhan University, China (and 2 more)
Zheng Wang 0008 — Tianjin University, School of Software Engineering, China
Zheng Wang 0009 — University of Toronto, Department of Electrical & Computer Engineering, Toronto, Canada (and 2 more)

Zheng Wang 0010 — DiDi AI Labs, Beijing, China (and 1 more)
Zheng Wang 0011 — University of Michigan, Ann Arbor, MI, USA (and 1 more)
Zheng Wang 0012 — Seagate Technology LLC, Longmont, CO, USA (and 1 more)
Zheng Wang 0013 — Southeast University, National Mobile Communications Research Laboratory and the School of Information Science and Engineering, Nanjing, China (and 3 more)
Zheng Wang 0014 — University of California, Irvine, CA, USA
Zheng Wang 0015 — The University of Manchester, UK
Zheng Wang 0016 — Chinese Academy of Sciences, Shenyang Institute of Automation, Institutes for Robotics and Intelligent Manufacturing, China
Zheng Wang 0019 — University of Missouri-Columbia, USA
Zheng Wang 0020 — Nanyang Technological University, Singapore
Zheng Wang 0021 — Southeast University, School of Automation, Nanjing, China
Zheng Wang 0022 — Azanda Network, Sunnyvale, CA, USA
Zheng Wang 0023 — University of Bath, UK
Zheng Wang 0024 — Honeywell Technology Solution Lab, Shanghai, China
Zheng Wang 0025 — University of Southern Mississippi, USA
Zheng Wang 0026 — University College London, UK
Zheng Wang 0027 — Chinese Academy of Sciences, Shenzhen Institutes of Advanced Technology, Center for Automotive Electronics, China (and 1 more)
Zheng Wang 0028 — Arizona State University, Tempe, AZ, USA
Zheng Wang 0029 — Southeast University, School of Electrical Engineering, Nanjing, China (and 2 more)
Zheng Wang 0030 — Beijing University of Aeronautics and Astronautics, LMIB / School of Mathematics and Systems Science, China
Zheng Wang 0031 — Dalian University of Technology, School of Software, China
Zheng Wang 0032 — Zhejiang University, School of Mathematical Sciences, Hangzhou, China
Zheng Wang 0033 — Northwestern Polytechnical University, School of Astronautics / National Key Laboratory of Aerospace Flight Dynamics, Xi'an, China
Zheng Wang 0034 — National Institute of Standards and Technology, Gaithersburg, MD, USA (and 1 more)
Zheng Wang 0035 — University of Western Ontario, Department of Medical Biophysics, London, Canada
Zheng Wang 0036 — IMEC, INTEC, Ghent, Belgium (and 1 more)
Zheng Wang 0038 — Newcastle University, School of Engineering, Newcastle upon Tyne, UK
Zheng Wang 0039 — University of Tokyo, Institute of Industrial Science, Japan
Zheng Wang 0040 — University of Sydney, School of Information Technologies, Australia
Zheng Wang 0041 — Beihang University, School of Computer Science and Engineering, Beijing, China
Zheng Wang 0042 — University of Utah, School of Computing, Salt Lake City, UT, USA
Zheng Wang 0043 — University of New South Wales, School of Electrical Engineering and Telecommunications, Sydney, Australia (and 1 more)
Zheng Wang 0044 — University of Electronic Science and Technology of China, School of Computer Science and Engineering, Center for Future Media, Chengdu, China (and 1 more)
Zheng Wang 0045 — University of Macau, State Key Laboratory of Internet of Things for Smart City, Macao, China (and 2 more)
Zheng Wang 0046 — Nanyang Technological University, School of Computer Science and Engineering, Singapore
Zheng Wang 0047 — Hunan First Normal University, Information Science and Engineering School, Changsha, China (and 1 more)
Zheng Wang 0048 — Zhejiang University of Technology, College of Computer Science and Technology, Hangzhou, China (and 1 more)
Zheng Wang 0049 — University of Miami, Department of Computer Science, Coral Gables, FL, USA
Zheng Wang 0050 — University of Electronic Science and Technology of China, School of Electronic Science and Engineering, Chengdu, China
Zheng Wang 0051 — Xi'an University of Science and Technology, College of Electrical and Control Engineering, Xi'an, China
Zheng Wang 0052 — Huazhong University of Science and Technology, Tongji Medical College, Union Hospital, Research Center for Tissue Engineering and Regenerative Medicine, Wuhan, China
Zheng Wang 0053 — Chongqing Chemical Industry Vocational College, Chongqing, China
Zheng Wang 0054 — Hunan University, College of Electrical and Information Engineering, Changsha, China
Zheng Wang 0055 — Jiangnan University, School of Design, Wuxi, China
Zheng Wang 0056 — Chinese Academy of Sciences, Xinjiang Institute of Ecology and Geography, State Key Laboratory of Desert and Oasis Ecology, Urumqi, China (and 1 more)
Zheng Wang 0057 — Linyi University, Research Center for Big Data and Artificial Intelligence, Linyi, China (and 1 more)
Zheng Wang 0058 — Beijing Huahang Radio Measurement Research Institute, Beijing, China
Zheng Wang 0059 — Fudan University, School of Computer Science, Shanghai Key Lab of Intelligent Information Processing, Shanghai, China (and 1 more)
Zheng Wang 0060 — Qingdao University of Technology, School of Mechanical and Automotive Engineering, Qingdao, China
Zheng Wang 0061 — Open University of China, Faculty of Science and Engineering, Beijing, China (and 2 more)
Zheng Wang 0062 — University of Science and Technology of China, Department of Electronic Engineering and Information Science, Hefei, China (and 1 more)
Zheng Wang 0063 — Capital Medical University, Beijing Tiantan Hospital, Department of Neurosurgery, Beijing, China
Zheng Wang 0064 — China University of Mining and Technology-Beijing, School of Geosciences and Surveying Engineering, Beijing, China
Zheng Wang 0065 — Xijing University, School of Information Engineering, Xi'an, China
Zheng Wang 0066 — Taiyuan University of Technology, School of Information and Computer, Jinzhong, China
Zheng Wang 0068 — Sun Yat-sen University, Guangdong Key Laboratory of Information Security Technology, Guangzhou, China
Zheng Wang 0069 — Central South University, Xiangya Hospital, Department of Geriatrics, Changsha, China
Zheng Wang 0070 — Henan Academy of Science, Institute of Geographical Science, Zhengzhou, China (and 1 more)
Zheng Wang 0071 — Guizhou University, School of Mechanical Engineering, State Key Laboratory of Public Big Data, Guiyang, China
Zheng Wang 0072 — Shanghai Jiaotong University, Affiliated Sixth People's Hospital, Shanghai, China (and 1 more)
Zheng Wang 0073 — Beijing Institute of Technology, School of Computer Science and Technology, Key Laboratory of Intelligent Information Technology, Beijing, China
Zheng Wang 0074 — University of Exeter, UK

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2020 – today

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2025
[j39]
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Xiaojun Yang, Chuanjie Cao, Keyi Zhou, Siyuan Peng, Zheng Wang, Liang Lin, Feiping Nie:
A novel linear discriminant analysis based on alternate ratio sum minimization. Inf. Sci. 689: 121444 (2025)
2024
[j38]
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Sisi Wang, Feiping Nie, Zheng Wang, Rong Wang, Xuelong Li:
Corrigendum to "Max-min robust principal component analysis" [Neurocomputing 521 (2023) 89-98]. Neurocomputing 601: 128189 (2024)
[j37]
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Zheng Wang, Jiaxi Xie, Feiping Nie, Rong Wang, Yanyan Jia, Shichang Liu:
T-distributed Stochastic Neighbor Network for unsupervised representation learning. Neural Networks 179: 106520 (2024)
[j36]
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Zheng Wang, Feiping Nie, Canyu Zhang, Rong Wang, Xuelong Li:
Worst-Case Discriminative Feature Learning via Max-Min Ratio Analysis. IEEE Trans. Pattern Anal. Mach. Intell. 46(1): 641-658 (2024)
[j35]
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Quan Wang, Fei Wang, Zhongheng Li, Zheng Wang, Feiping Nie:
Coordinate Descent Optimized Trace Difference Model for Joint Clustering and Feature Extraction. Pattern Recognit. 146: 110062 (2024)
[j34]
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Zequn Yang, Han Zhang, Yake Wei, Zheng Wang, Feiping Nie, Di Hu:
Geometric-inspired graph-based Incomplete Multi-view Clustering. Pattern Recognit. 147: 110082 (2024)
[j33]
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Yinuo Wang, Yu Guo, Zheng Wang, Fei Wang:
Joint learning of latent subspace and structured graph for multi-view clustering. Pattern Recognit. 154: 110592 (2024)
[j32]
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Zhengxin Li, Feiping Nie, Danyang Wu, Zheng Wang, Xuelong Li:
Sparse Trace Ratio LDA for Supervised Feature Selection. IEEE Trans. Cybern. 54(4): 2420-2433 (2024)
[j31]
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Zheng Wang, Qi Li, Feiping Nie, Rong Wang, Fei Wang, Xuelong Li:
Efficient Local Coherent Structure Learning via Self-Evolution Bipartite Graph. IEEE Trans. Cybern. 54(8): 4527-4538 (2024)
[j30]
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Sisi Wang, Feiping Nie, Zheng Wang, Rong Wang, Xuelong Li:
Outliers Robust Unsupervised Feature Selection for Structured Sparse Subspace. IEEE Trans. Knowl. Data Eng. 36(3): 1234-1248 (2024)
[j29]
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Sisi Wang, Feiping Nie, Zheng Wang, Rong Wang, Xuelong Li:
Robust Principal Component Analysis via Joint Reconstruction and Projection. IEEE Trans. Neural Networks Learn. Syst. 35(5): 7175-7189 (2024)
[j28]
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Zheng Wang, Dongming Wu, Rong Wang, Feiping Nie, Fei Wang:
Joint Anchor Graph Embedding and Discrete Feature Scoring for Unsupervised Feature Selection. IEEE Trans. Neural Networks Learn. Syst. 35(6): 7974-7987 (2024)
[j27]
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Yu Guo, Yuan Sun, Zheng Wang, Feiping Nie, Fei Wang:
Double-Structured Sparsity Guided Flexible Embedding Learning for Unsupervised Feature Selection. IEEE Trans. Neural Networks Learn. Syst. 35(10): 13354-13367 (2024)
[c6]
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  - conf/icassp/WangWW0024
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Jie Wang, Zheng Wang, Rong Wang, Feiping Nie, Xuelong Li:
Outlier-Robust Feature Selection with ℓ2, 1-Norm Minimization and Group Row-Sparsity Induced Constraints. ICASSP 2024: 3585-3589
[c5]
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Jie Zhang, Yuan Sun, Yu Guo, Zheng Wang, Feiping Nie, Fei Wang:
Multi-View Subspace Clustering With Consensus Graph Contrastive Learning. ICASSP 2024: 6340-6344
[c4]
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Liaoyuan Tang, Zheng Wang, Guanxiong He, Rong Wang, Feiping Nie:
Perturbation Guiding Contrastive Representation Learning for Time Series Anomaly Detection. IJCAI 2024: 4955-4963
2023
[j26]
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Sisi Wang, Feiping Nie, Zheng Wang, Rong Wang, Xuelong Li:
Max-Min Robust Principal Component Analysis. Neurocomputing 521: 89-98 (2023)
[j25]
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Sisi Wang, Feiping Nie, Zheng Wang, Rong Wang, Xuelong Li:
Sparse robust subspace learning via boolean weight. Inf. Fusion 96: 224-236 (2023)
[j24]
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Xiaojun Yang, Mingjun Zhu, Yongda Cai, Zheng Wang, Feiping Nie:
Fast spectral clustering with self-adapted bipartite graph learning. Inf. Sci. 644: 118810 (2023)
[j23]
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Xiaojun Yang, Mingjun Zhu, Bo Sun, Zheng Wang, Feiping Nie:
Fuzzy C-Multiple-Means Clustering for Hyperspectral Image. IEEE Geosci. Remote. Sens. Lett. 20: 1-5 (2023)
[j22]
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Zheng Wang, Qi Li, Haifeng Zhao, Feiping Nie:
Simultaneous local clustering and unsupervised feature selection via strong space constraint. Pattern Recognit. 142: 109718 (2023)
[j21]
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Rong Wang, Canyu Zhang, Jintang Bian, Zheng Wang, Feiping Nie, Xuelong Li:
Sparse and Flexible Projections for Unsupervised Feature Selection. IEEE Trans. Knowl. Data Eng. 35(6): 6362-6375 (2023)
[j20]
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  - journals/tmm/HuWNWL23
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Di Hu, Zheng Wang, Feiping Nie, Rong Wang, Xuelong Li:
Self-Supervised Learning for Heterogeneous Audiovisual Scene Analysis. IEEE Trans. Multim. 25: 3534-3545 (2023)
[j19]
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Feiping Nie, Sisi Wang, Zheng Wang, Rong Wang, Xuelong Li:
Discrete Robust Principal Component Analysis via Binary Weights Self-Learning. IEEE Trans. Neural Networks Learn. Syst. 34(11): 9064-9077 (2023)
[j18]
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Feiping Nie, Canyu Zhang, Zheng Wang, Rong Wang, Xuelong Li:
Local Embedding Learning via Landmark-Based Dynamic Connections. IEEE Trans. Neural Networks Learn. Syst. 34(11): 9481-9492 (2023)
[c3]
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  - conf/icassp/YuanWNL23
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Yongjin Yuan, Zheng Wang, Feiping Nie, Xuelong Li:
Unsupervised Feature Selection with self-Weighted and ℓ2,0-Norm Constraint. ICASSP 2023: 1-5
2022
[j17]
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  - journals/cogcom/ZhaoLWN22
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Haifeng Zhao, Qi Li, Zheng Wang, Feiping Nie:
Joint Adaptive Graph Learning and Discriminative Analysis for Unsupervised Feature Selection. Cogn. Comput. 14(3): 1211-1221 (2022)
[j16]
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Zheng Wang, Haojie Hu, Rong Wang, Qianrong Zhang, Feiping Nie, Xuelong Li:
Capped ℓp-norm linear discriminant analysis for robust projections learning. Neurocomputing 511: 399-409 (2022)
[j15]
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Wei Chang, Feiping Nie, Zheng Wang, Rong Wang, Xuelong Li:
Self-weighted learning framework for adaptive locality discriminant analysis. Pattern Recognit. 129: 108778 (2022)
[j14]
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Feiping Nie, Zheng Wang, Lai Tian, Rong Wang, Xuelong Li:
Subspace Sparse Discriminative Feature Selection. IEEE Trans. Cybern. 52(6): 4221-4233 (2022)
[j13]
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Feiping Nie, Zheng Wang, Rong Wang, Xuelong Li:
Adaptive Local Embedding Learning for Semi-Supervised Dimensionality Reduction. IEEE Trans. Knowl. Data Eng. 34(10): 4609-4621 (2022)
[i3]
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Junyun Cui, Xiaoyu Shen, Feiping Nie, Zheng Wang, Jinglong Wang, Yulong Chen:
A Survey on Legal Judgment Prediction: Datasets, Metrics, Models and Challenges. CoRR abs/2204.04859 (2022)
2021
[j12]
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Canyu Zhang, Feiping Nie, Zheng Wang, Rong Wang, Xuelong Li:
Fast local representation learning via adaptive anchor graph for image retrieval. Inf. Sci. 578: 870-886 (2021)
[j11]
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Feiping Nie, Zheng Wang, Rong Wang, Zhen Wang, Xuelong Li:
Towards Robust Discriminative Projections Learning via Non-Greedy $\ell _{2, 1}$ℓ2, 1-Norm MinMax. IEEE Trans. Pattern Anal. Mach. Intell. 43(6): 2086-2100 (2021)
[j10]
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Zheng Wang, Feiping Nie, Rong Wang, Hui Yang, Xuelong Li:
Local structured feature learning with dynamic maximum entropy graph. Pattern Recognit. 111: 107673 (2021)
[j9]
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Zheng Wang, Feiping Nie, Canyu Zhang, Rong Wang, Xuelong Li:
Joint nonlinear feature selection and continuous values regression network. Pattern Recognit. Lett. 150: 197-206 (2021)
[c2]
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Canyu Zhang, Feiping Nie, Zheng Wang, Rong Wang, Xuelong Li:
Fast Local Representation Learning with Adaptive Anchor Graph. ICASSP 2021: 3170-3174
2020
[j8]
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Haifeng Zhao, Bowen Zhang, Zheng Wang, Feiping Nie:
Multiclass discriminant analysis via adaptive weighted scheme. Neurocomputing 381: 1-9 (2020)
[j7]
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Zheng Wang, Feiping Nie, Canyu Zhang, Rong Wang, Xuelong Li:
Capped ℓ_p-Norm LDA for Outliers Robust Dimension Reduction. IEEE Signal Process. Lett. 27: 1315-1319 (2020)
[j6]
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Feiping Nie, Zheng Wang, Rong Wang, Xuelong Li:
Submanifold-Preserving Discriminant Analysis With an Auto-Optimized Graph. IEEE Trans. Cybern. 50(8): 3682-3695 (2020)
[j5]
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Feiping Nie, Zheng Wang, Rong Wang, Zhen Wang, Xuelong Li:
Adaptive Local Linear Discriminant Analysis. ACM Trans. Knowl. Discov. Data 14(1): 9:1-9:19 (2020)
[c1]
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Zheng Wang, Feiping Nie, Lai Tian, Rong Wang, Xuelong Li:
Discriminative Feature Selection via A Structured Sparse Subspace Learning Module. IJCAI 2020: 3009-3015
[i2]
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Di Hu, Zheng Wang, Haoyi Xiong, Dong Wang, Feiping Nie, Dejing Dou:
Curriculum Audiovisual Learning. CoRR abs/2001.09414 (2020)

2010 – 2019

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2019
[j4]
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  - journals/tkde/ZhaoWN19
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  - https://dblp.org/rec/journals/tkde/ZhaoWN19
Haifeng Zhao, Zheng Wang, Feiping Nie:
A New Formulation of Linear Discriminant Analysis for Robust Dimensionality Reduction. IEEE Trans. Knowl. Data Eng. 31(4): 629-640 (2019)
[i1]
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  dblp key:
  - journals/corr/abs-1907-00211
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  - https://dblp.org/rec/journals/corr/abs-1907-00211
Feiping Nie, Hua Wang, Zheng Wang, Heng Huang:
Robust Linear Discriminant Analysis Using Ratio Minimization of L1, 2-Norms. CoRR abs/1907.00211 (2019)
2018
[j3]
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  - journals/ijon/ZhaoWN18
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Haifeng Zhao, Zheng Wang, Feiping Nie:
Adaptive Neighborhood MinMax Projections. Neurocomputing 313: 155-166 (2018)
[j2]
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  - journals/neco/ZhaoWW18
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  - https://dblp.org/rec/journals/neco/ZhaoWW18
Haifeng Zhao, Siqi Wang, Zheng Wang:
Multiclass Classification and Feature Selection Based on Least Squares Regression with Large Margin. Neural Comput. 30(10) (2018)
2016
[j1]
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  - journals/ijon/ZhaoWN16
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Haifeng Zhao, Zheng Wang, Feiping Nie:
Orthogonal least squares regression for feature extraction. Neurocomputing 216: 200-207 (2016)

Coauthor Index

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