Ping Deng

Orcid: 0000-0001-7208-8855

Affiliations:

Xihua University, School of Computer and Software Engineering, Chengdu, China
Southwest Jiaotong University, School of Computing and Artificial Intelligence, Chengdu, China (PhD)

According to our database¹, Ping Deng authored at least 25 papers between 2018 and 2026.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book In proceedings Article PhD thesis Dataset Other

Bibliography

2026

Deep multi-view clustering algorithm with integrated auto-encoder and non-negative matrix factorization.

[BibT_eX]

[DOI]

Appl. Soft Comput., 2026

2025

DSNMF: Deep symmetric non-negative matrix factorization representation algorithm for clustering.

[BibT_eX]

[DOI]

Appl. Intell., December, 2025

NDRIDC: NMF-based deep representation algorithm for incomplete data clustering.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2025

Symmetric non-negative matrix factorization-based deep representation algorithm for multi-view clustering.

[BibT_eX]

[DOI]

Eng. Appl. Artif. Intell., 2025

2024

DNSRF: Deep Network-based Semi-NMF Representation Framework.

[BibT_eX]

[DOI]

ACM Trans. Intell. Syst. Technol., October, 2024

T-Distributed Stochastic Neighbor Embedding for Co-Representation Learning.

[BibT_eX]

[DOI]

ACM Trans. Intell. Syst. Technol., April, 2024

Automatic label assignment object detection mehtod on only one feature map.

[BibT_eX]

[DOI]

Mach. Vis. Appl., January, 2024

An autoencoder-like deep NMF representation learning algorithm for clustering.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2024

2023

A multi-view clustering algorithm based on deep semi-NMF.

[BibT_eX]

[DOI]

Inf. Fusion, November, 2023

Multi-view clustering guided by unconstrained non-negative matrix factorization.

[BibT_eX]

[DOI]

Knowl. Based Syst., April, 2023

A Generalized Deep Learning Algorithm Based on NMF for Multi-View Clustering.

[BibT_eX]

[DOI]

IEEE Trans. Big Data, February, 2023

A Generalized Deep Learning Clustering Algorithm Based on Non-Negative Matrix Factorization.

[BibT_eX]

[DOI]

ACM Trans. Knowl. Discov. Data, 2023

Graph Regularized Sparse Non-Negative Matrix Factorization for Clustering.

[BibT_eX]

[DOI]

IEEE Trans. Comput. Soc. Syst., 2023

2022

Biased unconstrained non-negative matrix factorization for clustering.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2022

Dual graph-regularized sparse concept factorization for clustering.

[BibT_eX]

[DOI]

Inf. Sci., 2022

2021

Hybrid genetic model for clustering ensemble.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2021

Tri-regularized nonnegative matrix tri-factorization for co-clustering.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2021

Enhanced clustering embedded in curvilinear distance analysis guided by pairwise constraints.

[BibT_eX]

[DOI]

Inf. Sci., 2021

Quantum Clustering Ensemble.

[BibT_eX]

[DOI]

Int. J. Comput. Intell. Syst., 2021

Co-Adjustment Learning for Co-Clustering.

[BibT_eX]

[DOI]

Cogn. Comput., 2021

2019

Particle Subswarms Collaborative Clustering.

[BibT_eX]

[DOI]

IEEE Trans. Comput. Soc. Syst., 2019

Linear discriminant analysis guided by unsupervised ensemble learning.

[BibT_eX]

[DOI]

Inf. Sci., 2019

2018

A Mixture Model for Image Boundary Detection Fusion.

[BibT_eX]

[DOI]

IEICE Trans. Inf. Syst., 2018

Softmax Regression by Using Unsupervised Ensemble Learning.

[BibT_eX]

[DOI]

Proceedings of the 9th International Symposium on Parallel Architectures, 2018

A Latent Factor Model Based on Elastic Network for Recommender Systems.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Big Data Engineering and Technology, 2018

Ping Deng

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Bibliography

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