Ning Ai
Orcid: 0000-0002-4791-4307
According to our database1,
Ning Ai authored at least 11 papers
between 2018 and 2026.
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Bibliography
2026
Incremental Learning Strategy With Multi-View Deep Learning for Disease-Related miRNAs/lncRNAs Identification.
IEEE Trans. Emerg. Top. Comput. Intell., April, 2026
2025
A Simplified Input Strategy for Predicting Multi-Type Associations in miRNA-LncRNA-Disease Network via Stacked Deep Matrix Factorization.
IEEE Trans. Comput. Biol. Bioinform., 2025
MGHSTCKW: Predicting miRNA-drug sensitivity association using hypergraph sparse transformer and hypergraph-induced contrastive learning based on meta-path.
Expert Syst. Appl., 2025
2024
Multi-View Multiattention Graph Learning With Stack Deep Matrix Factorization for circRNA-Drug Sensitivity Association Identification.
IEEE J. Biomed. Health Informatics, December, 2024
HGCLAMIR: Hypergraph contrastive learning with attention mechanism and integrated multi-view representation for predicting miRNA-disease associations.
PLoS Comput. Biol., 2024
2023
Integration of multi-omics data using adaptive graph learning and attention mechanism for patient classification and biomarker identification.
Comput. Biol. Medicine, September, 2023
A distributed sparse logistic regression with L<sub>1/2</sub> regularization for microarray biomarker discovery in cancer classification.
Soft Comput., March, 2023
2022
MHDMF: Prediction of miRNA-disease associations based on Deep Matrix Factorization with Multi-source Graph Convolutional Network.
Comput. Biol. Medicine, 2022
Predicting multiple types of miRNA-disease associations using adaptive weighted nonnegative tensor factorization with self-paced learning and hypergraph regularization.
Briefings Bioinform., 2022
2021
5G heterogeneous network selection and resource allocation optimization based on cuckoo search algorithm.
Comput. Commun., 2021
2018
Task Placement Across Multiple Public Clouds With Deadline Constraints for Smart Factory.
IEEE Access, 2018