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 22 papers between 2018 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

Online presence:

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Bibliography

2025
NDRIDC: NMF-based deep representation algorithm for incomplete data clustering.
Knowl. Based Syst., 2025

2024
DNSRF: Deep Network-based Semi-NMF Representation Framework.
ACM Trans. Intell. Syst. Technol., October, 2024

T-Distributed Stochastic Neighbor Embedding for Co-Representation Learning.
ACM Trans. Intell. Syst. Technol., April, 2024

Automatic label assignment object detection mehtod on only one feature map.
Mach. Vis. Appl., January, 2024

An autoencoder-like deep NMF representation learning algorithm for clustering.
Knowl. Based Syst., 2024

2023
A multi-view clustering algorithm based on deep semi-NMF.
Inf. Fusion, November, 2023

Multi-view clustering guided by unconstrained non-negative matrix factorization.
Knowl. Based Syst., April, 2023

A Generalized Deep Learning Algorithm Based on NMF for Multi-View Clustering.
IEEE Trans. Big Data, February, 2023

A Generalized Deep Learning Clustering Algorithm Based on Non-Negative Matrix Factorization.
ACM Trans. Knowl. Discov. Data, 2023

Graph Regularized Sparse Non-Negative Matrix Factorization for Clustering.
IEEE Trans. Comput. Soc. Syst., 2023

2022
Biased unconstrained non-negative matrix factorization for clustering.
Knowl. Based Syst., 2022

Dual graph-regularized sparse concept factorization for clustering.
Inf. Sci., 2022

2021
Hybrid genetic model for clustering ensemble.
Knowl. Based Syst., 2021

Tri-regularized nonnegative matrix tri-factorization for co-clustering.
Knowl. Based Syst., 2021

Enhanced clustering embedded in curvilinear distance analysis guided by pairwise constraints.
Inf. Sci., 2021

Quantum Clustering Ensemble.
Int. J. Comput. Intell. Syst., 2021

Co-Adjustment Learning for Co-Clustering.
Cogn. Comput., 2021

2019
Particle Subswarms Collaborative Clustering.
IEEE Trans. Comput. Soc. Syst., 2019

Linear discriminant analysis guided by unsupervised ensemble learning.
Inf. Sci., 2019

2018
A Mixture Model for Image Boundary Detection Fusion.
IEICE Trans. Inf. Syst., 2018

Softmax Regression by Using Unsupervised Ensemble Learning.
Proceedings of the 9th International Symposium on Parallel Architectures, 2018

A Latent Factor Model Based on Elastic Network for Recommender Systems.
Proceedings of the International Conference on Big Data Engineering and Technology, 2018


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