Tiyao Liu
Orcid: 0009-0004-9140-3653
According to our database1,
Tiyao Liu
authored at least 13 papers
between 2023 and 2025.
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Bibliography
2025
Two-Channel Graph Inference and Matrix Completion for Predicting CircRNA-Disease Associations in Consumer Health.
IEEE Trans. Consumer Electron., May, 2025
Scale Feature-Aware Generative Adversarial Network Improve MRI Device Data Imbalance for Healthy Consumption.
IEEE Trans. Consumer Electron., February, 2025
MWMF-GLRW: Using Smart Model to Accurately Predict Non-Coding RNA Interactions for Healthy Consumption.
IEEE Trans. Consumer Electron., February, 2025
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025
TPFIANet: Three path feature progressive interactive attention learning network for medical image segmentation.
Knowl. Based Syst., 2025
Truncated Arctangent Rank Minimization and Double-Strategy Neighborhood Constraint Graph Inference for Drug-Disease Association Prediction.
J. Chem. Inf. Model., 2025
IRPCA: An Interpretable Robust Principal Component Analysis Framework for Inferring miRNA-Drug Associations.
J. Chem. Inf. Model., 2025
Deciphering circRNA-drug sensitivity associations via global-local heterogeneous matrix factorization and hypergraph contrastive learning.
Expert Syst. Appl., 2025
2024
IEEE Trans. Geosci. Remote. Sens., 2024
TIWMFLP: Two-Tier Interactive Weighted Matrix Factorization and Label Propagation Based on Similarity Matrix Fusion for Drug-Disease Association Prediction.
J. Chem. Inf. Model., 2024
Heterogeneous graph inference with range constrainted L2,1-collaborative matrix factorization for small molecule-miRNA association prediction.
Comput. Biol. Chem., 2024
IEARACDA: Predicting circRNA-disease associations based on information enhancement and arctangent rank approximation.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024
2023
Predicting potential small molecule-miRNA associations utilizing truncated schatten p-norm.
Briefings Bioinform., July, 2023