Jiahui Guan
Orcid: 0009-0001-0584-0637
According to our database1,
Jiahui Guan authored at least 19 papers
between 2017 and 2026.
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Bibliography
2026
Contrastive representation learning and capsule networks enable accurate identification of ferroptosis-related proteins.
J. Cheminformatics, December, 2026
2025
Graph-RPI: predicting RNA-protein interactions via graph autoencoder and self-supervised learning strategies.
Briefings Bioinform., May, 2025
StackPIP: An Effective Computational Framework for Accurate and Balanced Identification of Proinflammatory Peptides.
J. Chem. Inf. Model., 2025
AFPDeepPred: A Deep Learning Framework for Accurate Identification of Antifreeze Proteins.
J. Chem. Inf. Model., 2025
MGCL-CAP: Masked Graph Contrastive Learning with Gated Cross-Attention for Chemical Allergenicity Prediction.
J. Chem. Inf. Model., 2025
StackDILI: Enhancing Drug-Induced Liver Injury Prediction through Stacking Strategy with Effective Molecular Representations.
J. Chem. Inf. Model., 2025
Toward high-efficiency, low-resource, and explainable neuropeptide prediction with MSKDNP.
Briefings Bioinform., 2025
Proceedings of the IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2025
2024
ACP-CapsPred: an explainable computational framework for identification and functional prediction of anticancer peptides based on capsule network.
Briefings Bioinform., September, 2024
A two-stage computational framework for identifying antiviral peptides and their functional types based on contrastive learning and multi-feature fusion strategy.
Briefings Bioinform., May, 2024
CapsEnhancer: An Effective Computational Framework for Identifying Enhancers Based on Chaos Game Representation and Capsule Network.
J. Chem. Inf. Model., 2024
2023
Predicting Anti-inflammatory Peptides by Ensemble Machine Learning and Deep Learning.
J. Chem. Inf. Model., December, 2023
2021
Development and Validation of a Deep Learning Model for Prediction of Severe Outcomes in Suspected COVID-19 Infection.
CoRR, 2021
2019
Iterative PET Image Reconstruction Using Convolutional Neural Network Representation.
IEEE Trans. Medical Imaging, 2019
Proceedings of the Large-Scale Annotation of Biomedical Data and Expert Label Synthesis and Hardware Aware Learning for Medical Imaging and Computer Assisted Intervention, 2019
HMC: A Hybrid Reinforcement Learning Based Model Compression for Healthcare Applications.
Proceedings of the 15th IEEE International Conference on Automation Science and Engineering, 2019
2018
Coupling Geometry on Binary Bipartite Networks: Hypotheses Testing on Pattern Geometry and Nestedness.
Frontiers Appl. Math. Stat., 2018
2017
Iterative PET Image Reconstruction Using Convolutional Neural Network Representation.
CoRR, 2017