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ORCIDWenzhu Yan
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- affiliation: Nanjing University, Jiangsu, China
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2020 – today
- 2024
[j17]Xing Jin, Xulin Song, Xiyin Wu, Wenzhu Yan:
Transformer embedded spectral-based graph network for facial expression recognition. Int. J. Mach. Learn. Cybern. 15(6): 2063-2077 (2024)- [j16]Yao Guan, Jiayi Yao, Wenzhu Yan
, Yanmeng Li:
Robust Grassmann manifold convex hull collaborative representation learning and its kernel extension for image set analysis. Multim. Syst. 30(6): 322 (2024) - [j15]Wanqi Yang, Like Xin, Lei Wang, Ming Yang, Wenzhu Yan, Yang Gao:
Iterative Multiview Subspace Learning for Unpaired Multiview Clustering. IEEE Trans. Neural Networks Learn. Syst. 35(10): 14848-14862 (2024) - 2023
- [j14]Wenzhu Yan, Yanmeng Li, Ming Yang:
Towards deeper match for multi-view oriented multiple kernel learning. Pattern Recognit. 134: 109119 (2023) - [j13]Wenzhu Yan, Ming Yang, Yanmeng Li:
Robust Low Rank and Sparse Representation for Multiple Kernel Dimensionality Reduction. IEEE Trans. Circuits Syst. Video Technol. 33(1): 1-15 (2023) - [c1]Yao Guan, Wenzhu Yan, Yanmeng Li:
Convex Hull Collaborative Representation Learning on Grassmann Manifold with L1 Norm Regularization. PRCV (2) 2023: 453-465 - 2022
- [j12]Yanmeng Li, Huaijiang Sun, Wenzhu Yan:
Domain adaptive twin support vector machine learning using privileged information. Neurocomputing 469: 13-27 (2022) - 2021
- [j11]Yanmeng Li, Huaijiang Sun, Wenzhu Yan, Qiongjie Cui:
R-CTSVM+: Robust capped L1-norm twin support vector machine with privileged information. Inf. Sci. 574: 12-32 (2021) - [j10]Shuo Zhang, Dong Wei, Wenzhu Yan, Quansen Sun:
Probabilistic collaborative representation on Grassmann manifold for image set classification. Neural Comput. Appl. 33(7): 2483-2496 (2021) - 2020
- [j9]Dong Wei, Xiaobo Shen, Quansen Sun, Xizhan Gao, Wenzhu Yan:
Locality-aware group sparse coding on Grassmann manifolds for image set classification. Neurocomputing 385: 197-210 (2020) - [j8]Wenzhu Yan, Quansen Sun, Huaijiang Sun, Yanmeng Li:
Joint dimensionality reduction and metric learning for image set classification. Inf. Sci. 516: 109-124 (2020) - [j7]Yanmeng Li, Huaijiang Sun, Wenzhu Yan, Xiaoqian Zhang:
Multi-output parameter-insensitive kernel twin SVR model. Neural Networks 121: 276-293 (2020) - [j6]Wenzhu Yan, Huaijiang Sun, Quansen Sun, Yanmeng Li:
Image Set-Oriented Dual Linear Discriminant Regression Classification and Its Kernel Extension. Neural Process. Lett. 51(2): 1061-1079 (2020) - [j5]Dong Wei, Xiaobo Shen, Quansen Sun, Xizhan Gao, Wenzhu Yan:
Prototype learning and collaborative representation using Grassmann manifolds for image set classification. Pattern Recognit. 100: 107123 (2020) - [j4]Wenzhu Yan, Quansen Sun, Huaijiang Sun, Yanmeng Li:
Semi-supervised learning framework based on statistical analysis for image set classification. Pattern Recognit. 107: 107500 (2020) - [j3]Zhenwen Ren, Quansen Sun, Bin Wu, Xiaoqian Zhang, Wenzhu Yan:
Learning Latent Low-Rank and Sparse Embedding for Robust Image Feature Extraction. IEEE Trans. Image Process. 29: 2094-2107 (2020)
2010 – 2019
- 2019
- [j2]Wenzhu Yan, Huaijiang Sun, Quansen Sun, Zhichao Zheng, Xizhan Gao, Quan Zhang, Zhenwen Ren:
Multiple kernel dimensionality reduction based on collaborative representation for set oriented image classification. Expert Syst. Appl. 137: 380-391 (2019) - [j1]Wenzhu Yan, Quansen Sun, Huaijiang Sun, Yanmeng Li, Zhenwen Ren:
Multiple kernel dimensionality reduction based on linear regression virtual reconstruction for image set classification. Neurocomputing 361: 256-269 (2019)
Coauthor Index
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