Linlin Zhuo

Orcid: 0000-0002-6586-0533

According to our database1, Linlin Zhuo authored at least 15 papers between 2019 and 2024.

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

Timeline

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PhD thesis 
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Links

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Bibliography

2024
An Effective Plant Small Secretory Peptide Recognition Model Based on Feature Correction Strategy.
J. Chem. Inf. Model., 2024

ML-NPI: Predicting Interactions between Noncoding RNA and Protein Based on Meta-Learning in a Large-Scale Dynamic Graph.
J. Chem. Inf. Model., 2024

Multi-source data integration for explainable miRNA-driven drug discovery.
Future Gener. Comput. Syst., 2024

Enhancing drug-food interaction prediction with precision representations through multilevel self-supervised learning.
Comput. Biol. Medicine, 2024

RFEM: A framework for essential microRNA identification in mice based on rotation forest and multiple feature fusion.
Comput. Biol. Medicine, 2024

Advancing cancer driver gene detection via Schur complement graph augmentation and independent subspace feature extraction.
Comput. Biol. Medicine, 2024

2023
MHAM-NPI: Predicting ncRNA-protein interactions based on multi-head attention mechanism.
Comput. Biol. Medicine, September, 2023

GCFMCL: predicting miRNA-drug sensitivity using graph collaborative filtering and multi-view contrastive learning.
Briefings Bioinform., July, 2023

HeadTailTransfer: An efficient sampling method to improve the performance of graph neural network method in predicting sparse ncRNA-protein interactions.
Comput. Biol. Medicine, May, 2023

2022
Predicting ncRNA-protein interactions based on dual graph convolutional network and pairwise learning.
Briefings Bioinform., 2022

A DNN Operation Scheme Based on IPSO for UAV-Assisted MEC Networks.
Proceedings of the 22nd IEEE International Conference on Communication Technology, 2022

2021
MVTLR-HCFS: Density Peak Algorithm Based on Multi-View and Tensor Low Rank Expression.
IEEE Access, 2021

Predicting NPI Based on Graph Convolutional Neural Networks.
Proceedings of the 21st International Conference on Communication Technology, 2021

2020
An online and generalized non-negativity constrained model for large-scale sparse tensor estimation on multi-GPU.
Neurocomputing, 2020

2019
HCFS: A Density Peak Based Clustering Algorithm Employing A Hierarchical Strategy.
IEEE Access, 2019


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