Rui Yin

According to our database, Rui Yin authored at least 23 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

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

Aniqa Arif, Yihe Wang, Rui Yin, Xiang Zhang, Ahmed Helmy

Sensors, March, 2024

2023

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

Min Zeng, Yifan Wu, Yiming Li, Rui Yin, Chengqian Lu, Junwen Duan, Min Li

Bioinform., December, 2023

COMET: Convolutional Dimension Interaction for Collaborative Filtering.

Zhuoyi Lin, Lei Feng, Xingzhi Guo, Yu Zhang, Rui Yin, Chee Keong Kwoh, Chi Xu

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

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

Rui Yin, Zihan Luo, Pei Zhuang, Min Zeng, Min Li, Zhuoyi Lin, Chee Keong Kwoh

J. Biomed. Informatics, June, 2023

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

Yongfan Ming, Wenkang Wang, Rui Yin, Min Zeng, Li Tang, Shizhe Tang, Min Li

Briefings Bioinform., May, 2023

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

Min Li, Baoying Zhao, Rui Yin, Chengqian Lu, Fei Guo, Min Zeng

Briefings Bioinform., January, 2023

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

Zhang Wan, Zhuoyi Lin, Shamima Rashid, Shaun Yue-Hao Ng, Rui Yin, J. Senthilnath, Chee Keong Kwoh

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.

Rui Yin, Nyi Nyi Thwin, Pei Zhuang, Zhuoyi Lin, Chee Keong Kwoh

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

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

Rui Yin, Xianghe Zhu, Min Zeng, Pengfei Wu, Min Li, Chee Keong Kwoh

Briefings Bioinform., 2022

2021

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

Zhuoyi Lin, Lei Feng, Rui Yin, Chi Xu, Chee Keong Kwoh

Inf. Sci., 2021

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

Rui Yin, Zihan Luo, Pei Zhuang, Zhuoyi Lin, Chee Keong Kwoh

Bioinform., 2021

2020

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

Rui Yin

PhD thesis, 2020

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

Rui Yin, Yu Zhang, Xinrui Zhou, Chee Keong Kwoh

J. Bioinform. Comput. Biol., 2020

COMET: Convolutional Dimension Interaction for Deep Matrix Factorization.

Zhuoyi Lin, Lei Feng, Xingzhi Guo, Rui Yin, Chee Keong Kwoh, Chi Xu

CoRR, 2020

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

Rui Yin, Emil Luusua, Jan Dabrowski, Yu Zhang, Chee Keong Kwoh

Bioinform., 2020

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

Yu Zhang, Yahui Long, Rui Yin, Chee Keong Kwoh

IEEE Access, 2020

2019

Whole Genome Sequencing Analysis.

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.

Pingjian Ding, Rui Yin, Jiawei Luo, Chee Keong Kwoh

IEEE J. Biomed. Health Informatics, 2019

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

Xinrui Zhou, Rui Yin, Jie Zheng, Chee Keong Kwoh

IEEE Access, 2019

2018

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

Rui Yin, Xinrui Zhou, Jie Zheng, Chee Keong Kwoh

J. Bioinform. Comput. Biol., 2018

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

Xinrui Zhou, Jie Zheng, Fransiskus Xaverius Ivan, Rui Yin, Shoba Ranganathan, Vincent T. K. Chow, Chee-Keong Kwoh

BMC Genom., 2018

2017

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

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.

Fransiskus Xaverius Ivan, Xinrui Zhou, Akhila Deshpande, Rui Yin, Jie Zheng, Chee Keong Kwoh

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