Wenzhu Yan

According to our database, Wenzhu Yan authored at least 21 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Multiple kernel subspace representation and graph construction learning for multi-view clustering.

Jianqiu Li, Wenzhu Yan, Yanmeng Li

Multim. Syst., June, 2025

Probabilistic Interpretation Toward Manifold Convex Hull Collaborative Representation.

Yanmeng Li, Wenzhu Yan

IEEE Trans. Consumer Electron., May, 2025

Advanced Graph-MLPs Distillation based on Global and Local Hyperbolic Geometry Learning.

Yao Guan, Wenzhu Yan, Ting Yuan, Yanmeng Li

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

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., December, 2024

Iterative Multiview Subspace Learning for Unpaired Multiview Clustering.

Wanqi Yang, Like Xin, Lei Wang, Ming Yang, Wenzhu Yan, Yang Gao

IEEE Trans. Neural Networks Learn. Syst., October, 2024

Transformer embedded spectral-based graph network for facial expression recognition.

Xing Jin, Xulin Song, Xiyin Wu, Wenzhu Yan

Int. J. Mach. Learn. Cybern., June, 2024

2023

Robust Low Rank and Sparse Representation for Multiple Kernel Dimensionality Reduction.

Wenzhu Yan, Ming Yang, Yanmeng Li

IEEE Trans. Circuits Syst. Video Technol., 2023

Towards deeper match for multi-view oriented multiple kernel learning.

Wenzhu Yan, Yanmeng Li, Ming Yang

Pattern Recognit., 2023

Convex Hull Collaborative Representation Learning on Grassmann Manifold with L₁ Norm Regularization.

Yao Guan, Wenzhu Yan, Yanmeng Li

Proceedings of the Pattern Recognition and Computer Vision - 6th Chinese Conference, 2023

2022

Domain adaptive twin support vector machine learning using privileged information.

Yanmeng Li, Huaijiang Sun, Wenzhu Yan

Neurocomputing, 2022

2021

Probabilistic collaborative representation on Grassmann manifold for image set classification.

Shuo Zhang, Dong Wei, Wenzhu Yan, Quansen Sun

Neural Comput. Appl., 2021

R-CTSVM+: Robust capped L₁-norm twin support vector machine with privileged information.

Yanmeng Li, Huaijiang Sun, Wenzhu Yan, Qiongjie Cui

Inf. Sci., 2021

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

Semi-supervised learning framework based on statistical analysis for image set classification.

Wenzhu Yan, Quansen Sun, Huaijiang Sun, Yanmeng Li

Pattern Recognit., 2020

Prototype learning and collaborative representation using Grassmann manifolds for image set classification.

Dong Wei, Xiaobo Shen, Quansen Sun, Xizhan Gao, Wenzhu Yan

Pattern Recognit., 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

Multi-output parameter-insensitive kernel twin SVR model.

Yanmeng Li, Huaijiang Sun, Wenzhu Yan, Xiaoqian Zhang

Neural Networks, 2020

Joint dimensionality reduction and metric learning for image set classification.

Wenzhu Yan, Quansen Sun, Huaijiang Sun, Yanmeng Li

Inf. Sci., 2020

Locality-aware group sparse coding on Grassmann manifolds for image set classification.

Dong Wei, Xiaobo Shen, Quansen Sun, Xizhan Gao, Wenzhu Yan

Neurocomputing, 2020

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

Multiple kernel dimensionality reduction based on collaborative representation for set oriented image classification.

Wenzhu Yan, Huaijiang Sun, Quansen Sun, Zhichao Zheng, Xizhan Gao, Quan Zhang, Zhenwen Ren

Expert Syst. Appl., 2019