Multiple kernel dimensionality reduction based on collaborative representation for set oriented image classification. - Wenzhu Yan; Huaijiang Sun; Quansen Sun; Zhichao Zheng 002; Xizhan Gao; Quan Zhang; Zhenwen Ren (Expert Syst. Appl., 2019)

Multiple kernel dimensionality reduction based on linear regression virtual reconstruction for image set classification. - Wenzhu Yan; Quansen Sun; Huaijiang Sun; Yanmeng Li; Zhenwen Ren (Neurocomputing, 2019)

Locality-aware group sparse coding on Grassmann manifolds for image set classification. - Dong Wei 007; Xiaobo Shen 001; Quansen Sun; Xizhan Gao; Wenzhu Yan (Neurocomputing, 2020)

Joint dimensionality reduction and metric learning for image set classification. - Wenzhu Yan; Quansen Sun; Huaijiang Sun; Yanmeng Li (Inf. Sci., 2020)

Multi-output parameter-insensitive kernel twin SVR model. - Yanmeng Li; Huaijiang Sun; Wenzhu Yan; Xiaoqian Zhang (Neural Networks, 2020)

Image Set-Oriented Dual Linear Discriminant Regression Classification and Its Kernel Extension. - Wenzhu Yan; Huaijiang Sun; Quansen Sun; Yanmeng Li (Neural Process. Lett., 2020)

Prototype learning and collaborative representation using Grassmann manifolds for image set classification. - Dong Wei 007; Xiaobo Shen 001; Quansen Sun; Xizhan Gao; Wenzhu Yan (Pattern Recognit., 2020)

Semi-supervised learning framework based on statistical analysis for image set classification. - Wenzhu Yan; Quansen Sun; Huaijiang Sun; Yanmeng Li (Pattern Recognit., 2020)

Learning Latent Low-Rank and Sparse Embedding for Robust Image Feature Extraction. - Zhenwen Ren; Quansen Sun; Bin Wu; Xiaoqian Zhang; Wenzhu Yan (IEEE Trans. Image Process., 2020)

R-CTSVM+: Robust capped L1-norm twin support vector machine with privileged information. - Yanmeng Li; Huaijiang Sun; Wenzhu Yan; Qiongjie Cui (Inf. Sci., 2021)

Probabilistic collaborative representation on Grassmann manifold for image set classification. - Shuo Zhang; Dong Wei 007; Wenzhu Yan; Quansen Sun (Neural Comput. Appl., 2021)

Domain adaptive twin support vector machine learning using privileged information. - Yanmeng Li; Huaijiang Sun; Wenzhu Yan (Neurocomputing, 2022)

Convex Hull Collaborative Representation Learning on Grassmann Manifold with L1 Norm Regularization. - Yao Guan; Wenzhu Yan; Yanmeng Li (PRCV (2), 2023)

Towards deeper match for multi-view oriented multiple kernel learning. - Wenzhu Yan; Yanmeng Li; Ming Yang 014 (Pattern Recognit., 2023)

Robust Low Rank and Sparse Representation for Multiple Kernel Dimensionality Reduction. - Wenzhu Yan; Ming Yang 014; Yanmeng Li (IEEE Trans. Circuits Syst. Video Technol., 2023)

Transformer embedded spectral-based graph network for facial expression recognition. - Xing Jin; Xulin Song; Xiyin Wu; Wenzhu Yan (Int. J. Mach. Learn. Cybern., 2024)

Iterative Multiview Subspace Learning for Unpaired Multiview Clustering. - Wanqi Yang; Like Xin; Lei Wang 001; Ming Yang 014; Wenzhu Yan; Yang Gao 001 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Robust Grassmann manifold convex hull collaborative representation learning and its kernel extension for image set analysis. - Yao Guan; Jiayi Yao; Wenzhu Yan; Yanmeng Li (Multim. Syst., 2024)

Advanced Graph-MLPs Distillation based on Global and Local Hyperbolic Geometry Learning. - Yao Guan; Wenzhu Yan; Ting Yuan; Yanmeng Li (ICASSP, 2025)

Probabilistic Interpretation Toward Manifold Convex Hull Collaborative Representation. - Yanmeng Li; Wenzhu Yan (IEEE Trans. Consumer Electron., 2025)

Multiple kernel subspace representation and graph construction learning for multi-view clustering. - Jianqiu Li; Wenzhu Yan; Yanmeng Li (Multim. Syst., 2025)