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 22 papers between 2017 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

Online presence:

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Bibliography

2024
EF-Net: Mental State Recognition by Analyzing Multimodal EEG-fNIRS via CNN.
Sensors, March, 2024

2023
COMET: Convolutional Dimension Interaction for Collaborative Filtering.
ACM Trans. Intell. Syst. Technol., August, 2023

ViPal: A framework for virulence prediction of influenza viruses with prior viral knowledge using genomic sequences.
J. Biomed. Informatics, June, 2023

A review of enzyme design in catalytic stability by artificial intelligence.
Briefings Bioinform., May, 2023

GraphLncLoc: long non-coding RNA subcellular localization prediction using graph convolutional networks based on sequence to graph transformation.
Briefings Bioinform., January, 2023

PESI: Paratope-Epitope Set Interaction for SARS-CoV-2 Neutralization Prediction.
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.
IEEE ACM Trans. Comput. Biol. Bioinform., 2022

A framework for predicting variable-length epitopes of human-adapted viruses using machine learning methods.
Briefings Bioinform., 2022

2021
GLIMG: Global and local item graphs for top-N recommender systems.
Inf. Sci., 2021

VirPreNet: a weighted ensemble convolutional neural network for the virulence prediction of influenza A virus using all eight segments.
Bioinform., 2021

2020
Meta-analysis on the lethality of influenza A viruses using machine learning approaches
PhD thesis, 2020

Time series computational prediction of vaccines for influenza A H3N2 with recurrent neural networks.
J. Bioinform. Comput. Biol., 2020

COMET: Convolutional Dimension Interaction for Deep Matrix Factorization.
CoRR, 2020

Tempel: time-series mutation prediction of influenza A viruses via attention-based recurrent neural networks.
Bioinform., 2020

DL-CRISPR: A Deep Learning Method for Off-Target Activity Prediction in CRISPR/Cas9 With Data Augmentation.
IEEE Access, 2020

2019
Whole Genome Sequencing Analysis.
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.
IEEE J. Biomed. Health Informatics, 2019

An Encoding Scheme Capturing Generic Priors and Properties of Amino Acids Improves Protein Classification.
IEEE Access, 2019

2018
Computational identification of physicochemical signatures for host tropism of influenza A virus.
J. Bioinform. Comput. Biol., 2018

Computational analysis of the receptor binding specificity of novel influenza A/H7N9 viruses.
BMC Genom., 2018

2017
Identification of Potential Critical Virulent Sites Based on Hemagglutinin of Influenza a Virus in Past Pandemic Strains.
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.
Proceedings of the 8th ACM International Conference on Bioinformatics, 2017


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