Ming Yang

Westfield State University

United States

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Articles (30)

Nonconvex low-rank regularization method for video snapshot compressive imaging

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Year:

2025

Class label fusion guided correlation learning for incomplete multi-label classification

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Year:

2025

Nonconvex tensorial submodule clustering of 2-D images by mining local and global structural information

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Year:

2025

Tensorized Soft Label Learning Based on Orthogonal NMF

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Year:

2025

Tensorized Tri-Factor Decomposition for Multi-View Clustering

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Year:

2025

Multi-view clustering based on feature selection and semi-non-negative anchor graph factorization

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Year:

2025

Embedded Multi-View Clustering via Collaborative Tensor Subspace Representation and Multi-Graph Fusion

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Year:

2025

Image Clustering With Transition Probabilities Learning

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Year:

2025

Self-Supervised Graph Embedding Clustering

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Year:

2025

Tensor-Based Late Fusion Incomplete Multiview Clustering

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Year:

2025

Multi-view reduced dimensionality K-means clustering with σ-norm and Schatten p-norm

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Year:

2024

Non-convex tensorial multi-view clustering by integrating L1-based sliced-Laplacian regularization and L2p-sparsity

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Year:

2024

Nonconvex submodule clustering via joint sliced sparse gradient and cluster-aware approach

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Year:

2024

Dual contrastive learning for multi-view clustering

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Year:

2024

Tensor robust PCA with nonconvex and nonlocal regularization

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Year:

2024

Anchor graph-based multiview spectral clustering

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Year:

2024

Multidimensional Data Processing With Bayesian Inference via Structural Block Decomposition

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Year:

2024

Efficient Anchor Graph Factorization for Multi-View Clustering

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Year:

2024

Efficient Multi-View -Means for Image Clustering

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Year:

2024

Adaptive multi-granularity sparse subspace clustering

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Year:

2023

Active learning based on similarity level histogram and adaptive-scale sampling for very high resolution image classification

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Year:

2023

Contrastive self-representation learning for data clustering

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Year:

2023

Sparse discriminant PCA based on contrastive learning and class-specificity distribution

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Year:

2023

Low-rank discrete multi-view spectral clustering

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Year:

2023

Joint feature selection and optimal bipartite graph learning for subspace clustering

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Year:

2023

Hyper-Laplacian Regularized Multi-View Clustering with Exclusive L21 Regularization and Tensor Log-Determinant Minimization Approach

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Year:

2023

Low-rank tensor recovery via non-convex regularization, structured factorization and spatio-temporal characteristics

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Year:

2023

Enhanced tensor low-rank representation learning for multi-view clustering

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Year:

2023

Graph Embedding Contrastive Multi-Modal Representation Learning for Clustering

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Year:

2023

View-Consistency Learning for Incomplete Multiview Clustering

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Year:

2022

Collaborators (1)

Hamido Fujita

University of Hradec Králové

CZECH REPUBLIC

Ming Yang

Research Interests

Explore related searches

Contact this professor

Articles (30)

Nonconvex low-rank regularization method for video snapshot compressive imaging

Class label fusion guided correlation learning for incomplete multi-label classification

Nonconvex tensorial submodule clustering of 2-D images by mining local and global structural information

Tensorized Soft Label Learning Based on Orthogonal NMF

Tensorized Tri-Factor Decomposition for Multi-View Clustering

Multi-view clustering based on feature selection and semi-non-negative anchor graph factorization

Embedded Multi-View Clustering via Collaborative Tensor Subspace Representation and Multi-Graph Fusion

Image Clustering With Transition Probabilities Learning

Self-Supervised Graph Embedding Clustering

Tensor-Based Late Fusion Incomplete Multiview Clustering

Multi-view reduced dimensionality K-means clustering with σ-norm and Schatten p-norm

Non-convex tensorial multi-view clustering by integrating L1-based sliced-Laplacian regularization and L2p-sparsity

Nonconvex submodule clustering via joint sliced sparse gradient and cluster-aware approach

Dual contrastive learning for multi-view clustering

Tensor robust PCA with nonconvex and nonlocal regularization

Anchor graph-based multiview spectral clustering

Multidimensional Data Processing With Bayesian Inference via Structural Block Decomposition

Efficient Anchor Graph Factorization for Multi-View Clustering

Efficient Multi-View -Means for Image Clustering

Adaptive multi-granularity sparse subspace clustering

Active learning based on similarity level histogram and adaptive-scale sampling for very high resolution image classification

Contrastive self-representation learning for data clustering

Sparse discriminant PCA based on contrastive learning and class-specificity distribution

Low-rank discrete multi-view spectral clustering

Joint feature selection and optimal bipartite graph learning for subspace clustering

Hyper-Laplacian Regularized Multi-View Clustering with Exclusive L21 Regularization and Tensor Log-Determinant Minimization Approach

Low-rank tensor recovery via non-convex regularization, structured factorization and spatio-temporal characteristics

Enhanced tensor low-rank representation learning for multi-view clustering

Graph Embedding Contrastive Multi-Modal Representation Learning for Clustering

View-Consistency Learning for Incomplete Multiview Clustering

Collaborators (1)

Hamido Fujita

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