Rui Yin

Orcid: 0000-0002-1403-0396

Affiliations:

Harvard Medical School, Department of Biomedical Informatics, Boston, USA (2020-2022)
Nanyang Technological University, School of Computer Science and Engineering, Singapore

According to our database¹, Rui Yin authored at least 31 papers between 2017 and 2026.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book In proceedings Article PhD thesis Dataset Other

Bibliography

2026

Identifying Alzheimer's Disease Progression Subphenotypes Via a Graph-based Framework Using Electronic Health Records.

[BibT_eX]

[DOI]

J. Heal. Informatics Res., June, 2026

2025

VarPPUD: Pinpointing diagnostic variants from sets of prioritized, strong candidate variants.

[BibT_eX]

[DOI]

Rui Yin

Alba Gutiérrez-Sacristán

Shilpa Nadimpalli Kobren

Paul Avillach

PLoS Comput. Biol., 2025

RNALoc-LM: RNA subcellular localization prediction using pre-trained RNA language model.

[BibT_eX]

[DOI]

Bioinform., 2025

Type 2 Diabetes Subtyping via Phenotype and Genotype Co-Learning.

[BibT_eX]

[DOI]

Proceedings of the MEDINFO 2025 - Healthcare Smart × Medicine Deep, 2025

2024

EF-Net: Mental State Recognition by Analyzing Multimodal EEG-fNIRS via CNN.

[BibT_eX]

[DOI]

Sensors, March, 2024

GenoM7GNet: An Efficient N<sup>7</sup>-Methylguanosine Site Prediction Approach Based on a Nucleotide Language Model.

[BibT_eX]

[DOI]

IEEE ACM Trans. Comput. Biol. Bioinform., 2024

BertSNR: an interpretable deep learning framework for single-nucleotide resolution identification of transcription factor binding sites based on DNA language model.

[BibT_eX]

[DOI]

Bioinform., 2024

SGCL-LncLoc: An Interpretable Deep Learning Model for Improving IncRNA Subcellular Localization Prediction with Supervised Graph Contrastive Learning.

[BibT_eX]

[DOI]

Big Data Min. Anal., 2024

2023

LncLocFormer: a Transformer-based deep learning model for multi-label lncRNA subcellular localization prediction by using localization-specific attention mechanism.

[BibT_eX]

[DOI]

Bioinform., December, 2023

COMET: Convolutional Dimension Interaction for Collaborative Filtering.

[BibT_eX]

[DOI]

ACM Trans. Intell. Syst. Technol., August, 2023

ViPal: A framework for virulence prediction of influenza viruses with prior viral knowledge using genomic sequences.

[BibT_eX]

[DOI]

J. Biomed. Informatics, June, 2023

A review of enzyme design in catalytic stability by artificial intelligence.

[BibT_eX]

[DOI]

Briefings Bioinform., May, 2023

GraphLncLoc: long non-coding RNA subcellular localization prediction using graph convolutional networks based on sequence to graph transformation.

[BibT_eX]

[DOI]

Briefings Bioinform., January, 2023

HSELDA: Heterogeneous Sub-Graph Learning for lncRNA-Disease Associations Prediction.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

PESI: Paratope-Epitope Set Interaction for SARS-CoV-2 Neutralization Prediction.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

2022

IAV-CNN: A 2D Convolutional Neural Network Model to Predict Antigenic Variants of Influenza A Virus.

[BibT_eX]

[DOI]

IEEE ACM Trans. Comput. Biol. Bioinform., 2022

A framework for predicting variable-length epitopes of human-adapted viruses using machine learning methods.

[BibT_eX]

[DOI]

Briefings Bioinform., 2022

2021

GLIMG: Global and local item graphs for top-N recommender systems.

[BibT_eX]

[DOI]

Inf. Sci., 2021

VirPreNet: a weighted ensemble convolutional neural network for the virulence prediction of influenza A virus using all eight segments.

[BibT_eX]

[DOI]

Bioinform., 2021

2020

Meta-analysis on the lethality of influenza A viruses using machine learning approaches

[BibT_eX]

[DOI]

Rui Yin

PhD thesis, 2020

Time series computational prediction of vaccines for influenza A H3N2 with recurrent neural networks.

[BibT_eX]

[DOI]

J. Bioinform. Comput. Biol., 2020

COMET: Convolutional Dimension Interaction for Deep Matrix Factorization.

[BibT_eX]

[DOI]

CoRR, 2020

Tempel: time-series mutation prediction of influenza A viruses via attention-based recurrent neural networks.

[BibT_eX]

[DOI]

Bioinform., 2020

DL-CRISPR: A Deep Learning Method for Off-Target Activity Prediction in CRISPR/Cas9 With Data Augmentation.

[BibT_eX]

[DOI]

IEEE Access, 2020

2019

Whole Genome Sequencing Analysis.

[BibT_eX]

[DOI]

Rui Yin

Chee Keong Kwoh

Jie Zheng

Proceedings of the Encyclopedia of Bioinformatics and Computational Biology - Volume 3, 2019

Ensemble Prediction of Synergistic Drug Combinations Incorporating Biological, Chemical, Pharmacological, and Network Knowledge.

[BibT_eX]

[DOI]

IEEE J. Biomed. Health Informatics, 2019

An Encoding Scheme Capturing Generic Priors and Properties of Amino Acids Improves Protein Classification.

[BibT_eX]

[DOI]

IEEE Access, 2019

2018

Computational identification of physicochemical signatures for host tropism of influenza A virus.

[BibT_eX]

[DOI]

J. Bioinform. Comput. Biol., 2018

Computational analysis of the receptor binding specificity of novel influenza A/H7N9 viruses.

[BibT_eX]

[DOI]

Xinrui Zhou

Jie Zheng

Fransiskus Xaverius Ivan

BMC Genom., 2018

2017

Identification of Potential Critical Virulent Sites Based on Hemagglutinin of Influenza a Virus in Past Pandemic Strains.

[BibT_eX]

[DOI]

Rui Yin

Xinrui Zhou

Fransiskus Xaverius Ivan

Jie Zheng

Vincent T. K. Chow

Chee Keong Kwoh

Proceedings of the 6th International Conference on Bioinformatics and Biomedical Science, 2017

Phylogenetic Tree based Method for Uncovering Co-mutational Site-pairs in Influenza Viruses.

[BibT_eX]

[DOI]

Fransiskus Xaverius Ivan

Proceedings of the 8th ACM International Conference on Bioinformatics, 2017

Rui Yin

Timeline

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