Bin Yu
Orcid: 0000-0002-2453-7852Affiliations:
- 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 39 papers
between 2012 and 2024.
Collaborative distances:
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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
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
IEEE ACM Trans. Comput. Biol. Bioinform., 2023
Prediction of protein-protein interactions based on ensemble residual convolutional neural network.
Comput. Biol. Medicine, 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
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
Briefings Bioinform., 2021
StackPDB: Predicting DNA-binding proteins based on XGB-RFE feature optimization and stacked ensemble classifier.
Appl. Soft Comput., 2021
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
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
Int. J. Pattern Recognit. Artif. Intell., 2012