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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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
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
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
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
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
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
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
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
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2023
2022
Bioinform., December, 2022
Briefings Bioinform., 2022
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
Patterns, 2021
Int. J. Secur. Networks, 2021
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 multi-task learning method for analyzing microbiota as cancer immunotherapy signal.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020