Dexian Wang

Orcid: 0000-0002-7700-1023

According to our database¹, Dexian Wang authored at least 23 papers between 2014 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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On csauthors.net:

Bibliography

2024

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

[BibT_eX]

[DOI]

Knowl. Based Syst., 2024

A multi-scale information fusion-based multiple correlations for unsupervised attribute selection.

[BibT_eX]

[DOI]

Inf. Fusion, 2024

Multimodal federated learning: Concept, methods, applications and future directions.

[BibT_eX]

[DOI]

Inf. Fusion, 2024

Path Planning for Substation Inspection Robots Based on a Fusion Algorithm Incorporation JPS and DWA.

[BibT_eX]

[DOI]

IEEE Access, 2024

2023

Fast attribute reduction via inconsistent equivalence classes for large-scale data.

[BibT_eX]

[DOI]

Int. J. Approx. Reason., December, 2023

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

[BibT_eX]

[DOI]

Inf. Fusion, November, 2023

A Possibilistic Information Fusion-Based Unsupervised Feature Selection Method Using Information Quality Measures.

[BibT_eX]

[DOI]

IEEE Trans. Fuzzy Syst., September, 2023

FedCKE: Cross-Domain Knowledge Graph Embedding in Federated Learning.

[BibT_eX]

[DOI]

IEEE Trans. Big Data, June, 2023

A multi-source information fusion model for outlier detection.

[BibT_eX]

[DOI]

Inf. Fusion, May, 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

Dual graph-regularized sparse concept factorization for clustering.

[BibT_eX]

[DOI]

Inf. Sci., 2022

Fairness and accuracy in horizontal federated learning.

[BibT_eX]

[DOI]

Inf. Sci., 2022

2021

Latent Factor-Based Recommenders Relying on Extended Stochastic Gradient Descent Algorithms.

[BibT_eX]

[DOI]

IEEE Trans. Syst. Man Cybern. Syst., 2021

Multi-source information fusion based on rough set theory: A review.

[BibT_eX]

[DOI]

Inf. Fusion, 2021

2020

Fairness and Accuracy in Federated Learning.

[BibT_eX]

[DOI]

CoRR, 2020

2019

Elastic-net regularized latent factor analysis-based models for recommender systems.

[BibT_eX]

[DOI]

Neurocomputing, 2019

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

2015

Procedural Approach for 3D Modeling of City Buildings.

[BibT_eX]

[DOI]

Proceedings of the Product Lifecycle Management in the Era of Internet of Things, 2015

2014

Modeling of forced convection heat transfer from the swing plate on an industrial robot.

[BibT_eX]

[DOI]

Qi Lu

Dexian Wang

Proceedings of the 2014 IEEE International Conference on Automation Science and Engineering, 2014

Dexian Wang

Timeline

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On csauthors.net:

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