Rui Yin

29 papers Journal 24Unranked 3
YearRankTypeTitle / Venue / Authors
2025 J jnl
RNALoc-LM: RNA subcellular localization prediction using pre-trained RNA language model.
Bioinform.
Min Zeng, Xinyu Zhang, Yiming Li, Chengqian Lu, Rui Yin, Fei Guo, Min Li
2025 J jnl
VarPPUD: Pinpointing diagnostic variants from sets of prioritized, strong candidate variants.
PLoS Comput. Biol.
Rui Yin, Alba Gutiérrez-Sacristán, Shilpa Nadimpalli Kobren, Paul Avillach
2024 J jnl
BertSNR: an interpretable deep learning framework for single-nucleotide resolution identification of transcription factor binding sites based on DNA language model.
Bioinform.
Hanyu Luo, Li Tang, Min Zeng, Rui Yin, Pingjian Ding, Lingyun Luo, Min Li
2024 J jnl
EF-Net: Mental State Recognition by Analyzing Multimodal EEG-fNIRS via CNN.
Sensors
Aniqa Arif, Yihe Wang, Rui Yin, Xiang Zhang, Ahmed Helmy
2024 J jnl
GenoM7GNet: An Efficient N
IEEE ACM Trans. Comput. Biol. Bioinform.
Chuang Li, Heshi Wang, Yanhua Wen, Rui Yin, Xiangxiang Zeng, Keqin Li
2024 J jnl
SGCL-LncLoc: An Interpretable Deep Learning Model for Improving IncRNA Subcellular Localization Prediction with Supervised Graph Contrastive Learning.
Big Data Min. Anal.
Min Li, Baoying Zhao, Yiming Li, Pingjian Ding, Rui Yin, Shichao Kan, Min Zeng
2023 J jnl
A review of enzyme design in catalytic stability by artificial intelligence.
Briefings Bioinform.
Yongfan Ming, Wenkang Wang, Rui Yin, Min Zeng, Li Tang, Shizhe Tang, Min Li
2023 J jnl
COMET: Convolutional Dimension Interaction for Collaborative Filtering.
ACM Trans. Intell. Syst. Technol.
Zhuoyi Lin, Lei Feng, Xingzhi Guo, Yu Zhang, Rui Yin, Chee Keong Kwoh, Chi Xu
2023 J jnl
GraphLncLoc: long non-coding RNA subcellular localization prediction using graph convolutional networks based on sequence to graph transformation.
Briefings Bioinform.
Min Li, Baoying Zhao, Rui Yin, Chengqian Lu, Fei Guo, Min Zeng
2023 J jnl
LncLocFormer: a Transformer-based deep learning model for multi-label lncRNA subcellular localization prediction by using localization-specific attention mechanism.
Bioinform.
Min Zeng, Yifan Wu, Yiming Li, Rui Yin, Chengqian Lu, Junwen Duan, Min Li
2023 — conf
PESI: Paratope-Epitope Set Interaction for SARS-CoV-2 Neutralization Prediction.
BIBM
Zhang Wan, Zhuoyi Lin, Shamima Rashid, Shaun Yue-Hao Ng, Rui Yin, J. Senthilnath, Chee Keong Kwoh
2023 J jnl
ViPal: A framework for virulence prediction of influenza viruses with prior viral knowledge using genomic sequences.
J. Biomed. Informatics
Rui Yin, Zihan Luo, Pei Zhuang, Min Zeng, Min Li, Zhuoyi Lin, Chee Keong Kwoh
2022 J jnl
A framework for predicting variable-length epitopes of human-adapted viruses using machine learning methods.
Briefings Bioinform.
Rui Yin, Xianghe Zhu, Min Zeng, Pengfei Wu, Min Li, Chee Keong Kwoh
2022 J jnl
IAV-CNN: A 2D Convolutional Neural Network Model to Predict Antigenic Variants of Influenza A Virus.
IEEE ACM Trans. Comput. Biol. Bioinform.
Rui Yin, Nyi Nyi Thwin, Pei Zhuang, Zhuoyi Lin, Chee Keong Kwoh
2021 J jnl
GLIMG: Global and local item graphs for top-N recommender systems.
Inf. Sci.
Zhuoyi Lin, Lei Feng, Rui Yin, Chi Xu, Chee Keong Kwoh
2021 J jnl
VirPreNet: a weighted ensemble convolutional neural network for the virulence prediction of influenza A virus using all eight segments.
Bioinform.
Rui Yin, Zihan Luo, Pei Zhuang, Zhuoyi Lin, Chee Keong Kwoh
2020 J jnl
COMET: Convolutional Dimension Interaction for Deep Matrix Factorization.
CoRR
Zhuoyi Lin, Lei Feng, Xingzhi Guo, Rui Yin, Chee Keong Kwoh, Chi Xu
2020 J jnl
DL-CRISPR: A Deep Learning Method for Off-Target Activity Prediction in CRISPR/Cas9 With Data Augmentation.
IEEE Access
Yu Zhang, Yahui Long, Rui Yin, Chee Keong Kwoh
2020 J jnl
GLIMG: Global and Local Item Graphs for Top-N Recommender Systems.
CoRR
Zhuoyi Lin, Lei Feng, Rui Yin, Chi Xu, Chee-Keong Kwoh
2020 — —
Meta-analysis on the lethality of influenza A viruses using machine learning approaches
Rui Yin
2020 J jnl
Tempel: time-series mutation prediction of influenza A viruses via attention-based recurrent neural networks.
Bioinform.
Rui Yin, Emil Luusua, Jan Dabrowski, Yu Zhang, Chee Keong Kwoh
2020 J jnl
Time series computational prediction of vaccines for influenza A H3N2 with recurrent neural networks.
J. Bioinform. Comput. Biol.
Rui Yin, Yu Zhang, Xinrui Zhou, Chee Keong Kwoh
2019 J jnl
An Encoding Scheme Capturing Generic Priors and Properties of Amino Acids Improves Protein Classification.
IEEE Access
Xinrui Zhou, Rui Yin, Jie Zheng, Chee Keong Kwoh
2019 J jnl
Ensemble Prediction of Synergistic Drug Combinations Incorporating Biological, Chemical, Pharmacological, and Network Knowledge.
IEEE J. Biomed. Health Informatics
Pingjian Ding, Rui Yin, Jiawei Luo, Chee Keong Kwoh
2019 — ch.
Whole Genome Sequencing Analysis.
Encyclopedia of Bioinformatics and Computational Biology (3)
Rui Yin, Chee Keong Kwoh, Jie Zheng
2018 J jnl
Computational analysis of the receptor binding specificity of novel influenza A/H7N9 viruses.
BMC Genom.
Xinrui Zhou, Jie Zheng, Fransiskus Xaverius Ivan, Rui Yin, Shoba Ranganathan, Vincent T. K. Chow, Chee-Keong Kwoh
2018 J jnl
Computational identification of physicochemical signatures for host tropism of influenza A virus.
J. Bioinform. Comput. Biol.
Rui Yin, Xinrui Zhou, Jie Zheng, Chee Keong Kwoh
2017 — conf
Identification of Potential Critical Virulent Sites Based on Hemagglutinin of Influenza a Virus in Past Pandemic Strains.
ICBBS
Rui Yin, Xinrui Zhou, Fransiskus Xaverius Ivan, Jie Zheng, Vincent T. K. Chow, Chee Keong Kwoh
2017 — conf
Phylogenetic Tree based Method for Uncovering Co-mutational Site-pairs in Influenza Viruses.
BCB
Fransiskus Xaverius Ivan, Xinrui Zhou, Akhila Deshpande, Rui Yin, Jie Zheng, Chee Keong Kwoh