Shuting Jin

Orcid: 0000-0002-8113-9367

According to our database1, Shuting Jin authored at least 35 papers between 2020 and 2026.

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Timeline

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Bibliography

2026
FusionMVSA: Multi-View Fusion Strategy With Self-Attention for Enhancing Drug Recommendation.
IEEE J. Biomed. Health Informatics, February, 2026

MFDL-DDI: An effective deep learning-based framework for predicting drug-drug interactions through multimodal information fusion.
Pattern Recognit., 2026

A deep adversarial network model for multi-task analysis of single-cell omics data.
Briefings Bioinform., 2026

FuseMine: Robust Multi-Modal Compound-Protein Interaction Prediction via Differential Attention Feature Mining.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

EccoMamba: Enhanced Cross-hierarchical Continuity Orthogonal Mamba for Medical Image Segmentation.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025
DeepDR: an integrated deep-learning model web server for drug repositioning.
CoRR, November, 2025

Molecular Dynamics-Powered Hierarchical Geometric Deep Learning Framework for Protein-Ligand Interaction.
IEEE Trans. Comput. Biol. Bioinform., 2025

Adaptive symmetry-based adversarial perturbation augmentation for molecular graph representations with dual-fusion attention information.
Inf. Fusion, 2025

IDH Genotyping and Glioma Prognosis Research Based on an Interpretable Transformer Learning Framework.
CAAI Trans. Intell. Technol., 2025

An image-based protein-ligand binding representation learning framework via multi-level flexible dynamics trajectory pre-training.
Bioinform., 2025

Surface-based Molecular Design with Multi-modal Flow Matching.
Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 2025

Bidirectional Relational Fusion with Meta-Learning for Inductive Knowledge Graph Completion.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2025

A Conformation Enhanced Graph Attention Framework for Predicting Synergistic Drug Combinations.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2025

TransFVAE: A Transformer-Based Flow Variational Autoencoder Model for Molecular Graph Generation.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2025

2024
Modeling the dissemination of privacy information in online social networks.
Trans. Emerg. Telecommun. Technol., June, 2024

A self-adaptive wildfire detection algorithm by fusing physical and deep learning schemes.
Int. J. Appl. Earth Obs. Geoinformation, 2024

Instructor-inspired Machine Learning for Robust Molecular Property Prediction.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

An Image-enhanced Molecular Graph Representation Learning Framework.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

2023
A general hypergraph learning algorithm for drug multi-task predictions in micro-to-macro biomedical networks.
PLoS Comput. Biol., November, 2023

Chemical structure-aware molecular image representation learning.
Briefings Bioinform., September, 2023

Improving molecular representation learning with metric learning-enhanced optimal transport.
Patterns, April, 2023

KGNMDA: A Knowledge Graph Neural Network Method for Predicting Microbe-Disease Associations.
IEEE ACM Trans. Comput. Biol. Bioinform., 2023

RareDR: A Drug Repositioning Approach for Rare Diseases Based on Knowledge Graph.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2023

2022
LaGAT: link-aware graph attention network for drug-drug interaction prediction.
Bioinform., December, 2022

preMLI: a pre-trained method to uncover microRNA-lncRNA potential interactions.
Briefings Bioinform., 2022

DeepTTA: a transformer-based model for predicting cancer drug response.
Briefings Bioinform., 2022

Drug-target interactions prediction via deep collaborative filtering with multiembeddings.
Briefings Bioinform., 2022

Tinkling: Research on the design of a Bianqing interactive system for children based on experiential learning.
Proceedings of the 15th International Symposium on Computational Intelligence and Design, 2022

2021
HeTDR: Drug repositioning based on heterogeneous networks and text mining.
Patterns, 2021

An authorisation certificate-based access control model.
Int. J. Secur. Networks, 2021

Heterogeneous network-based drug repurposing for COVID-19.
CoRR, 2021

Application of deep learning methods in biological networks.
Briefings Bioinform., 2021

A Meta-Path based Drug-Target Prediction Model with Collaborative Attention Mechanisms.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

2020
A Semantic Inference Based Method for Privacy Measurement.
IEEE Access, 2020

A multi-task learning method for analyzing microbiota as cancer immunotherapy signal.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020


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