Naiyao Liang
Orcid: 0000-0003-0946-7494
According to our database1,
Naiyao Liang
authored at least 18 papers
between 2019 and 2024.
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Bibliography
2024
Label-Weighted Graph-Based Learning for Semi-Supervised Classification Under Label Noise.
IEEE Trans. Big Data, February, 2024
SFCSA-YOLO: Scale Fusion and Channel Standard-deviation Attention Based YOLO for Skin Lesion Segmentation.
Proceedings of the 6th International Conference on Internet of Things, 2024
2023
Diverse Deep Matrix Factorization with Hypergraph Regularization for Multi-View Data Representation.
IEEE CAA J. Autom. Sinica, November, 2023
IEEE Trans. Knowl. Data Eng., June, 2023
Semi-supervised multi-view clustering by label relaxation based non-negative matrix factorization.
Vis. Comput., April, 2023
Sci. China Inf. Sci., March, 2023
2022
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
IEEE Trans. Cybern., 2021
Semi-supervised multi-view learning by using label propagation based non-negative matrix factorization.
Knowl. Based Syst., 2021
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
CoRR, 2020
Proceedings of the 20th International Conference on Data Mining Workshops, 2020
2019
Circuits Syst. Signal Process., 2019