Ming Yang

Orcid: 0000-0003-1810-1566

Affiliations:

Westfield State University, Department of Computer and Information Science, Westfield, MA, USA
Southern Illinois University, Department of Computer Science, Carbondale, IL, USA
Texas A&M University, College Station, TX, USA (PhD 2012)

According to our database¹, Ming Yang authored at least 42 papers between 2016 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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In proceedings

Article

PhD thesis

Dataset

Other

Bibliography

2024

Multidimensional Data Processing With Bayesian Inference via Structural Block Decomposition.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., May, 2024

Self-adaptive SURF for image-to-video matching.

[BibT_eX]

[DOI]

Signal Image Video Process., February, 2024

Efficient Anchor Graph Factorization for Multi-View Clustering.

[BibT_eX]

[DOI]

IEEE Trans. Multim., 2024

Unsupervised Discriminative Feature Selection via Contrastive Graph Learning.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2024

Efficient Multi-View -Means for Image Clustering.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2024

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

[BibT_eX]

[DOI]

Pattern Recognit., 2024

Non-convex tensorial multi-view clustering by integrating ℓ1-based sliced-Laplacian regularization and ℓ2,p-sparsity.

[BibT_eX]

[DOI]

Pattern Recognit., 2024

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

[BibT_eX]

[DOI]

Jingyu Wang

Tingquan Deng

Ming Yang

Pattern Recognit., 2024

Anchor graph-based multiview spectral clustering.

[BibT_eX]

[DOI]

Neurocomputing, 2024

Dual contrastive learning for multi-view clustering.

[BibT_eX]

[DOI]

Neurocomputing, 2024

Tensor robust PCA with nonconvex and nonlocal regularization.

[BibT_eX]

[DOI]

Comput. Vis. Image Underst., 2024

Interpretable Multi-View Clustering Based on Anchor Graph Tensor Factorization.

[BibT_eX]

[DOI]

CoRR, 2024

2023

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

[BibT_eX]

[DOI]

Neural Networks, October, 2023

Contrastive self-representation learning for data clustering.

[BibT_eX]

[DOI]

Neural Networks, October, 2023

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

[BibT_eX]

[DOI]

Neural Networks, October, 2023

Low-rank discrete multi-view spectral clustering.

[BibT_eX]

[DOI]

Neural Networks, September, 2023

Sliced Sparse Gradient Induced Multi-View Subspace Clustering via Tensorial Arctangent Rank Minimization.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., July, 2023

Joint feature selection and optimal bipartite graph learning for subspace clustering.

[BibT_eX]

[DOI]

Neural Networks, July, 2023

Self-Consistent Contrastive Attributed Graph Clustering With Pseudo-Label Prompt.

[BibT_eX]

[DOI]

IEEE Trans. Multim., 2023

Self-Weighted Anchor Graph Learning for Multi-View Clustering.

[BibT_eX]

[DOI]

IEEE Trans. Multim., 2023

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

[BibT_eX]

[DOI]

ACM Trans. Intell. Syst. Technol., 2023

Graph Embedding Contrastive Multi-Modal Representation Learning for Clustering.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2023

Adaptive multi-granularity sparse subspace clustering.

[BibT_eX]

[DOI]

Inf. Sci., 2023

Orthogonal Non-negative Tensor Factorization based Multi-view Clustering.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Centerless Multi-View K-means Based on the Adjacency Matrix.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

3-D Array Image Data Completion by Tensor Decomposition and Nonconvex Regularization Approach.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2022

Multiview Spectral Clustering With Bipartite Graph.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2022

View-Consistency Learning for Incomplete Multiview Clustering.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2022

Nonconvex 3D array image data recovery and pattern recognition under tensor framework.

[BibT_eX]

[DOI]

Pattern Recognit., 2022

Multi-view graph embedding clustering network: Joint self-supervision and block diagonal representation.

[BibT_eX]

[DOI]

Neural Networks, 2022

Cross-modal distribution alignment embedding network for generalized zero-shot learning.

[BibT_eX]

[DOI]

Neural Networks, 2022

2021

Self-supervised Contrastive Attributed Graph Clustering.

[BibT_eX]

[DOI]

CoRR, 2021

Robust Multiview Subspace Clustering of Images via Tighter Rank Approximation.

[BibT_eX]

[DOI]

IEEE Access, 2021

Enhancing Effectiveness of Teaching Evaluation using Blockchain and Regulated Token Economy.

[BibT_eX]

[DOI]

Proceedings of the 16th International Conference on Computer Science & Education, 2021

2020

Multiview Clustering of Images with Tensor Rank Minimization via Nonconvex Approach.

[BibT_eX]

[DOI]

SIAM J. Imaging Sci., 2020

A Mobile Robot Visual SLAM System With Enhanced Semantics Segmentation.

[BibT_eX]

[DOI]

IEEE Access, 2020

On the Modeling and Predication of Teaching Effectiveness with Machine Learning.

[BibT_eX]

[DOI]

Proceedings of the 15th International Conference on Computer Science & Education, 2020

2018

Image Denoising via Improved Dictionary Learning with Global Structure and Local Similarity Preservations.

[BibT_eX]

[DOI]

Symmetry, 2018

2017

Exploiting Nonlinear Relationships for Top-N Recommender Systems.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Big Knowledge, 2017

2016

Feature Selection Embedded Subspace Clustering.

[BibT_eX]

[DOI]

IEEE Signal Process. Lett., 2016

RAP: Scalable RPCA for Low-rank Matrix Recovery.

[BibT_eX]

[DOI]

Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

Top-N Recommendation on Graphs.

[BibT_eX]

[DOI]

Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

Ming Yang

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