Bin Yu

  • 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 16 papers between 2018 and 2021.

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



In proceedings 
PhD thesis 


Online presence:



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

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

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

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