Bin Yu

Orcid: 0000-0002-2453-7852

Affiliations:
  • Qingdao University of Science and Technology, College of Mathematics and Physics, China
  • Qingdao University of Science and Technology, Artificial Intelligence and Biomedical Big Data Research Center, China


According to our database1, Bin Yu authored at least 46 papers between 2012 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Online presence:

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Bibliography

2024
ML-FGAT: Identification of multi-label protein subcellular localization by interpretable graph attention networks and feature-generative adversarial networks.
Comput. Biol. Medicine, March, 2024

Dynamic weighted knowledge distillation for brain tumor segmentation.
Pattern Recognit., 2024

DRBPPred-GAT: Accurate prediction of DNA-binding proteins and RNA-binding proteins based on graph multi-head attention network.
Knowl. Based Syst., 2024

DAUnet: A U-shaped network combining deep supervision and attention for brain tumor segmentation.
Knowl. Based Syst., 2024

Res-GCN: Identification of protein phosphorylation sites using graph convolutional network and residual network.
Comput. Biol. Chem., 2024

AntiCVP-Deep: Identify anti-coronavirus peptides between different negative datasets based on self-attention and deep learning.
Biomed. Signal Process. Control., 2024

A weighted integration method based on graph representation learning for drug repositioning.
Appl. Soft Comput., 2024

2023
RPI-CapsuleGAN: Predicting RNA-protein interactions through an interpretable generative adversarial capsule network.
Pattern Recognit., September, 2023

BiGRUD-SA: Protein S-sulfenylation sites prediction based on BiGRU and self-attention.
Comput. Biol. Medicine, September, 2023

DBGRU-SE: predicting drug-drug interactions based on double BiGRU and squeeze-and-excitation attention mechanism.
Briefings Bioinform., July, 2023

DeepSTF: predicting transcription factor binding sites by interpretable deep neural networks combining sequence and shape.
Briefings Bioinform., July, 2023

DE-MHAIPs: Identification of SARS-CoV-2 phosphorylation sites based on differential evolution multi-feature learning and multi-head attention mechanism.
Comput. Biol. Medicine, June, 2023

GMetaNet: Multi-scale ghost convolutional neural network with auxiliary MetaFormer decoding path for brain tumor segmentation.
Biomed. Signal Process. Control., May, 2023

A universal framework for single-cell multi-omics data integration with graph convolutional networks.
Briefings Bioinform., May, 2023

Cooperation of local features and global representations by a dual-branch network for transcription factor binding sites prediction.
Briefings Bioinform., March, 2023

scBKAP: A Clustering Model for Single-Cell RNA-Seq Data Based on Bisecting K-Means.
IEEE ACM Trans. Comput. Biol. Bioinform., 2023

Prediction of protein-protein interactions based on ensemble residual convolutional neural network.
Comput. Biol. Medicine, 2023

MBANet: A 3D convolutional neural network with multi-branch attention for brain tumor segmentation from MRI images.
Biomed. Signal Process. Control., 2023

2022
DEEPStack-RBP: Accurate identification of RNA-binding proteins based on autoencoder feature selection and deep stacking ensemble classifier.
Knowl. Based Syst., 2022

Malsite-Deep: Prediction of protein malonylation sites through deep learning and multi-information fusion based on NearMiss-2 strategy.
Knowl. Based Syst., 2022

MTDCNet: A 3D multi-threading dilated convolutional network for brain tumor automatic segmentation.
J. Biomed. Informatics, 2022

Identification of DNA modification sites based on elastic net and bidirectional gated recurrent unit with convolutional neural network.
Biomed. Signal Process. Control., 2022

Predicting the multi-label protein subcellular localization through multi-information fusion and MLSI dimensionality reduction based on MLFE classifier.
Bioinform., 2022

RPI-MDLStack: Predicting RNA-protein interactions through deep learning with stacking strategy and LASSO.
Appl. Soft Comput., 2022

2021
HLU<sup>2</sup>-Net: A Residual U-Structure Embedded U-Net With Hybrid Loss for Tire Defect Inspection.
IEEE Trans. Instrum. Meas., 2021

Prediction of protein-protein interactions based on elastic net and deep forest.
Expert Syst. Appl., 2021

Prediction of protein-protein interaction sites through eXtreme gradient boosting with kernel principal component analysis.
Comput. Biol. Medicine, 2021

DNN-DTIs: Improved drug-target interactions prediction using XGBoost feature selection and deep neural network.
Comput. Biol. Medicine, 2021

Fertility-LightGBM: A fertility-related protein prediction model by multi-information fusion and light gradient boosting machine.
Biomed. Signal Process. Control., 2021

The functional determinants in the organization of bacterial genomes.
Briefings Bioinform., 2021

StackPDB: Predicting DNA-binding proteins based on XGB-RFE feature optimization and stacked ensemble classifier.
Appl. Soft Comput., 2021

MSMANet: A multi-scale mesh aggregation network for brain tumor segmentation.
Appl. Soft Comput., 2021

Jointly Learning to Align and Aggregate with Cross Attention Pooling for Peptide-MHC Class I Binding Prediction.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

2020
SulSite-GTB: identification of protein S-sulfenylation sites by fusing multiple feature information and gradient tree boosting.
Neural Comput. Appl., 2020

GTB-PPI: Predict Protein-protein Interactions Based on L1-regularized Logistic Regression and Gradient Tree Boosting.
Genom. Proteom. Bioinform., 2020

Improving protein-protein interactions prediction accuracy using XGBoost feature selection and stacked ensemble classifier.
Comput. Biol. Medicine, 2020

SubMito-XGBoost: predicting protein submitochondrial localization by fusing multiple feature information and eXtreme gradient boosting.
Bioinform., 2020

Defect Inspection in Tire Radiographic Image Using Concise Semantic Segmentation.
IEEE Access, 2020

2019
Protein-protein interaction sites prediction by ensemble random forests with synthetic minority oversampling technique.
Bioinform., 2019

Accurate prediction of potential druggable proteins based on genetic algorithm and Bagging-SVM ensemble classifier.
Artif. Intell. Medicine, 2019

Predicting Golgi-Resident Protein Types Using Conditional Covariance Minimization With XGBoost Based on Multiple Features Fusion.
IEEE Access, 2019

2018
Tire Defects Classification Using Convolution Architecture for Fast Feature Embedding.
Int. J. Comput. Intell. Syst., 2018

Feature selection of gene expression data for Cancer classification using double RBF-kernels.
BMC Bioinform., 2018

2017
Evaluating Cities' Independent Innovation Capabilities Based on Patent Using Data Analysis Methods.
Proceedings of the Data Science, 2017

2012
Multi-Level Document Image Segmentation using Multi-Layer Perceptron and Support Vector Machine.
Int. J. Pattern Recognit. Artif. Intell., 2012

Face Recognition Using Curvelet-Based Two-Dimensional Principle Component Analysis.
Int. J. Pattern Recognit. Artif. Intell., 2012


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