Naiyao Liang

Orcid: 0000-0003-0946-7494

According to our database1, Naiyao Liang authored at least 17 papers between 2019 and 2024.

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

Timeline

Legend:

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Links

On csauthors.net:

Bibliography

2024
Label-Weighted Graph-Based Learning for Semi-Supervised Classification Under Label Noise.
IEEE Trans. Big Data, February, 2024

2023
Diverse Deep Matrix Factorization with Hypergraph Regularization for Multi-View Data Representation.
IEEE CAA J. Autom. Sinica, November, 2023

Incomplete Multi-View Clustering With Sample-Level Auto-Weighted Graph Fusion.
IEEE Trans. Knowl. Data Eng., June, 2023

Semi-supervised multi-view clustering by label relaxation based non-negative matrix factorization.
Vis. Comput., April, 2023

A convergence algorithm for graph co-regularized transfer learning.
Sci. China Inf. Sci., March, 2023

2022
Incomplete Multiview Clustering With Cross-View Feature Transformation.
IEEE Trans. Artif. Intell., 2022

Co-consensus semi-supervised multi-view learning with orthogonal non-negative matrix factorization.
Inf. Process. Manag., 2022

Label prediction based constrained non-negative matrix factorization for semi-supervised multi-view classification.
Neurocomputing, 2022

Incomplete multi-view clustering with incomplete graph-regularized orthogonal non-negative matrix factorization.
Appl. Intell., 2022

2021
Uniform Distribution Non-Negative Matrix Factorization for Multiview Clustering.
IEEE Trans. Cybern., 2021

Semi-supervised multi-view learning by using label propagation based non-negative matrix factorization.
Knowl. Based Syst., 2021

Co-attention fusion based deep neural network for Chinese medical answer selection.
Appl. Intell., 2021

2020
Semi-supervised multi-view clustering with Graph-regularized Partially Shared Non-negative Matrix Factorization.
Knowl. Based Syst., 2020

Multi-view clustering by non-negative matrix factorization with co-orthogonal constraints.
Knowl. Based Syst., 2020

Partially Shared Semi-supervised Deep Matrix Factorization with Multi-view Data.
CoRR, 2020

Partially Shared Semi-supervised Deep Matrix Factorization with Multi-view Data.
Proceedings of the 20th International Conference on Data Mining Workshops, 2020

2019
Nonnegative Matrix Factorization with Fixed L2-Norm Constraint.
Circuits Syst. Signal Process., 2019


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