Tengyu Yin
Orcid: 0000-0002-8556-6243
According to our database1,
Tengyu Yin
authored at least 16 papers
between 2019 and 2025.
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Bibliography
2025
Neural Networks, 2025
2024
Exploiting feature multi-correlations for multilabel feature selection in robust multi-neighborhood fuzzy β covering space.
Inf. Fusion, April, 2024
Feature selection for multilabel classification with missing labels via multi-scale fusion fuzzy uncertainty measures.
Pattern Recognit., 2024
Unsupervised feature selection based on bipartite graph and low-redundant regularization.
Knowl. Based Syst., 2024
Knowl. Based Syst., 2024
Adaptive orthogonal semi-supervised feature selection with reliable label matrix learning.
Inf. Process. Manag., 2024
Dual hypergraphs with feature weighted and latent space learning for the diagnosis of Alzheimer's disease.
Inf. Fusion, 2024
LEFMIFS: Label enhancement and fuzzy mutual information for robust multilabel feature selection.
Eng. Appl. Artif. Intell., 2024
2023
A Robust Multilabel Feature Selection Approach Based on Graph Structure Considering Fuzzy Dependency and Feature Interaction.
IEEE Trans. Fuzzy Syst., December, 2023
Robust unsupervised feature selection via dual space latent representation learning and adaptive structure learning.
Int. J. Mach. Learn. Cybern., September, 2023
Robust multi-label feature selection with shared coupled and dynamic graph regularization.
Appl. Intell., July, 2023
Robust feature selection using label enhancement and <i>β</i>-precision fuzzy rough sets for multilabel fuzzy decision system.
Fuzzy Sets Syst., June, 2023
Noise-resistant multilabel fuzzy neighborhood rough sets for feature subset selection.
Inf. Sci., April, 2023
2022
Feature Selection With Missing Labels Using Multilabel Fuzzy Neighborhood Rough Sets and Maximum Relevance Minimum Redundancy.
IEEE Trans. Fuzzy Syst., 2022
2020
Multilabel feature selection using ML-ReliefF and neighborhood mutual information for multilabel neighborhood decision systems.
Inf. Sci., 2020
2019
Hybrid Multilabel Feature Selection Using BPSO and Neighborhood Rough Sets for Multilabel Neighborhood Decision Systems.
IEEE Access, 2019