Yuanpeng Zhang

Orcid: 0009-0003-9517-8257

Affiliations:
  • Central South University, School of Computer Science and Engineering, Changsha, China


According to our database1, Yuanpeng Zhang authored at least 14 papers between 2023 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
TwistDAN: Twisted Domain Adversarial Network for Synthetic Accessibility Assessment.
J. Chem. Inf. Model., 2026

DeepLMI: deep feature mining with a globally enhanced graph convolutional network for robust lncRNA-miRNA interaction prediction.
Bioinform., 2026

2025
DeepHeteroCDA: circRNA-drug sensitivity associations prediction via multi-scale heterogeneous network and graph attention mechanism.
Briefings Bioinform., March, 2025

DeepExpDR: Drug Response Prediction through Molecular Topological Grouping and Substructure-Aware Expert.
J. Chem. Inf. Model., 2025

Unraveling Disease-Associated PIWI-Interacting RNAs with a Contrastive Learning Methods.
J. Chem. Inf. Model., 2025

Precise prediction of hotspot residues in protein-RNA complexes using graph attention networks and pretrained protein language models.
Bioinform., 2025

Contrastive hypergraph collaborative filtering for transfer RNA-disease association prediction.
Briefings Bioinform., 2025

MVFDSP: A Multi-View Fusion Framework for Drug Side-Effect Frequency Prediction.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2025

DSSA: Dual-Stream Synthetic Accessibility Framework for Organic Compounds.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2025

2024
IGCNSDA: unraveling disease-associated snoRNAs with an interpretable graph convolutional network.
Briefings Bioinform., May, 2024

LSNSCDA: Unraveling CircRNA-Drug Sensitivity via Local Smoothing Graph Neural Network and Credible Negative Samples.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024

2023
A comprehensive review and evaluation of graph neural networks for non-coding RNA and complex disease associations.
Briefings Bioinform., September, 2023

PTDA-SWGCL: Predicting tRNA-Disease Associations using Supplementarily Weighted Graph Contrastive Learning.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

CLPiDA: A Contrastive Learning Approach for Predicting Potential PiRNA-Disease Associations.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023


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