Bin Yu

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 39

Top Topics

Protein Interaction

Feature Selection

Gradient Boosting

Top Venues

Comput. Biol. Medicine

Briefings Bioinform.

Knowl. Based Syst.

Appl. Soft Comput.

Publications

Yan Feng, Yuan Cao, Dianlong An, Panpan Liu, Xingyu Liao, Bin Yu
DAUnet: A U-shaped network combining deep supervision and attention for brain tumor segmentation. Knowl. Based Syst. 285 (2024)
Xinyu Zhang, Yifei Wang, Qinqin Wei, Shiyue He, Adil Salhi, Bin Yu
DRBPPred-GAT: Accurate prediction of DNA-binding proteins and RNA-binding proteins based on graph multi-head attention network. Knowl. Based Syst. 285 (2024)
Lu Yan, Minghui Wang, Hongyan Zhou, Yushuang Liu, Bin Yu
AntiCVP-Deep: Identify anti-coronavirus peptides between different negative datasets based on self-attention and deep learning. Biomed. Signal Process. Control. 90 (2024)
Dianlong An, Panpan Liu, Yan Feng, Pengju Ding, Weifeng Zhou, Bin Yu
Dynamic weighted knowledge distillation for brain tumor segmentation. Pattern Recognit. 155 (2024)
Haojie Lian, Pengju Ding, Chao Yu, Xinyu Zhang, Guozhu Liu, Bin Yu
A weighted integration method based on graph representation learning for drug repositioning. Appl. Soft Comput. 161 (2024)
Congjing Wang, Yifei Wang, Pengju Ding, Shan Li, Xu Yu, Bin Yu
ML-FGAT: Identification of multi-label protein subcellular localization by interpretable graph attention networks and feature-generative adversarial networks. Comput. Biol. Medicine 170 (2024)
Yao Lu, Yankang Chang, Zhouzhou Zheng, Yingwei Sun, Mengmeng Zhao, Bin Yu, Chengliang Tian, Yan Zhang
GMetaNet: Multi-scale ghost convolutional neural network with auxiliary MetaFormer decoding path for brain tumor segmentation. Biomed. Signal Process. Control. 83 (2023)
Mingxiang Zhang, Hongli Gao, Xin Liao, Baoxing Ning, Haiming Gu, Bin Yu
DBGRU-SE: predicting drug-drug interactions based on double BiGRU and squeeze-and-excitation attention mechanism. Briefings Bioinform. 24 (4) (2023)
Tingting Zhang, Jihua Jia, Cheng Chen, Yaqun Zhang, Bin Yu
BiGRUD-SA: Protein S-sulfenylation sites prediction based on BiGRU and self-attention. Comput. Biol. Medicine 163 (2023)
Minghui Wang, Lu Yan, Jihua Jia, Jiali Lai, Hongyan Zhou, Bin Yu
DE-MHAIPs: Identification of SARS-CoV-2 phosphorylation sites based on differential evolution multi-feature learning and multi-head attention mechanism. Comput. Biol. Medicine 160 (2023)
Yifei Wang, Xue Wang, Cheng Chen, Hongli Gao, Adil Salhi, Xin Gao, Bin Yu
RPI-CapsuleGAN: Predicting RNA-protein interactions through an interpretable generative adversarial capsule network. Pattern Recognit. 141 (2023)
Yutong Yu, Pengju Ding, Hongli Gao, Guozhu Liu, Fa Zhang, Bin Yu
Cooperation of local features and global representations by a dual-branch network for transcription factor binding sites prediction. Briefings Bioinform. 24 (2) (2023)
Xiaolin Wang, Hongli Gao, Ren Qi, Ruiqing Zheng, Xin Gao, Bin Yu
scBKAP: A Clustering Model for Single-Cell RNA-Seq Data Based on Bisecting K-Means. IEEE ACM Trans. Comput. Biol. Bioinform. 20 (3) (2023)
Hongli Gao, Cheng Chen, Shuangyi Li, Congjing Wang, Weifeng Zhou, Bin Yu
Prediction of protein-protein interactions based on ensemble residual convolutional neural network. Comput. Biol. Medicine 152 (2023)
Pengju Ding, Yifei Wang, Xinyu Zhang, Xin Gao, Guozhu Liu, Bin Yu
DeepSTF: predicting transcription factor binding sites by interpretable deep neural networks combining sequence and shape. Briefings Bioinform. 24 (4) (2023)
Hongli Gao, Bin Zhang, Long Liu, Shan Li, Xin Gao, Bin Yu
A universal framework for single-cell multi-omics data integration with graph convolutional networks. Briefings Bioinform. 24 (3) (2023)
Minghui Wang, Lili Song, Yaqun Zhang, Hongli Gao, Lu Yan, Bin Yu
Malsite-Deep: Prediction of protein malonylation sites through deep learning and multi-information fusion based on NearMiss-2 strategy. Knowl. Based Syst. 240 (2022)
Wankun Chen, Weifeng Zhou, Ling Zhu, Yuan Cao, Haiming Gu, Bin Yu
MTDCNet: A 3D multi-threading dilated convolutional network for brain tumor automatic segmentation. J. Biomed. Informatics 133 (2022)
Qinqin Wei, Qingmei Zhang, Hongli Gao, Tao Song, Adil Salhi, Bin Yu
DEEPStack-RBP: Accurate identification of RNA-binding proteins based on autoencoder feature selection and deep stacking ensemble classifier. Knowl. Based Syst. 256 (2022)
Yushuang Liu, Shuping Jin, Hongli Gao, Xue Wang, Congjing Wang, Weifeng Zhou, Bin Yu
Predicting the multi-label protein subcellular localization through multi-information fusion and MLSI dimensionality reduction based on MLFE classifier. Bioinform. 38 (5) (2022)
Bin Yu, Xue Wang, Yaqun Zhang, Hongli Gao, Yifei Wang, Yushuang Liu, Xin Gao
RPI-MDLStack: Predicting RNA-protein interactions through deep learning with stacking strategy and LASSO. Appl. Soft Comput. 120 (2022)
Qingmei Zhang, Peishun Liu, Xue Wang, Yaqun Zhang, Yu Han, Bin Yu
StackPDB: Predicting DNA-binding proteins based on XGB-RFE feature optimization and stacked ensemble classifier. Appl. Soft Comput. 99 (2021)
Zhaoqian Liu, Jingtong Feng, Bin Yu, Qin Ma, Bingqiang Liu
The functional determinants in the organization of bacterial genomes. Briefings Bioinform. 22 (3) (2021)
Yan Zhang, Yao Lu, Wankun Chen, Yankang Chang, Haiming Gu, Bin Yu
MSMANet: A multi-scale mesh aggregation network for brain tumor segmentation. Appl. Soft Comput. 110 (2021)
Cheng Chen, Han Shi, Zhiwen Jiang, Adil Salhi, Ruixin Chen, Xuefeng Cui, Bin Yu
DNN-DTIs: Improved drug-target interactions prediction using XGBoost feature selection and deep neural network. Comput. Biol. Medicine 136 (2021)
Zhouzhou Zheng, Huanbo Yang, Liang Zhou, Bin Yu, Yan Zhang
-Net: A Residual U-Structure Embedded U-Net With Hybrid Loss for Tire Defect Inspection. IEEE Trans. Instrum. Meas. 70 (2021)
Cheng Chen, Zongzhao Qiu, Zhenghe Yang, Bin Yu, Xuefeng Cui
Jointly Learning to Align and Aggregate with Cross Attention Pooling for Peptide-MHC Class I Binding Prediction. BIBM (2021)
Xue Wang, Yaqun Zhang, Bin Yu, Adil Salhi, Ruixin Chen, Lin Wang, Zengfeng Liu
Prediction of protein-protein interaction sites through eXtreme gradient boosting with kernel principal component analysis. Comput. Biol. Medicine 134 (2021)
Minghui Wang, Lingling Yue, Xinhua Yang, Xiaolin Wang, Yu Han, Bin Yu
Fertility-LightGBM: A fertility-related protein prediction model by multi-information fusion and light gradient boosting machine. Biomed. Signal Process. Control. 68 (2021)
Bin Yu, Cheng Chen, Xiaolin Wang, Zhaomin Yu, Anjun Ma, Bingqiang Liu
Prediction of protein-protein interactions based on elastic net and deep forest. Expert Syst. Appl. 176 (2021)
Bin Yu, Wenying Qiu, Cheng Chen, Anjun Ma, Jing Jiang, Hongyan Zhou, Qin Ma
SubMito-XGBoost: predicting protein submitochondrial localization by fusing multiple feature information and eXtreme gradient boosting. Bioinform. 36 (4) (2020)
Bin Yu, Cheng Chen, Hongyan Zhou, Bingqiang Liu, Qin Ma
GTB-PPI: Predict Protein-protein Interactions Based on L1-regularized Logistic Regression and Gradient Tree Boosting. Genom. Proteom. Bioinform. 18 (5) (2020)
Zhouzhou Zheng, Sen Zhang, Bin Yu, Qingdang Li, Yan Zhang
Defect Inspection in Tire Radiographic Image Using Concise Semantic Segmentation. IEEE Access 8 (2020)
Cheng Chen, Qingmei Zhang, Bin Yu, Zhaomin Yu, Patrick J. Lawrence, Qin Ma, Yan Zhang
Improving protein-protein interactions prediction accuracy using XGBoost feature selection and stacked ensemble classifier. Comput. Biol. Medicine 123 (2020)
Minghui Wang, Xiaowen Cui, Bin Yu, Cheng Chen, Qin Ma, Hongyan Zhou
SulSite-GTB: identification of protein S-sulfenylation sites by fusing multiple feature information and gradient tree boosting. Neural Comput. Appl. 32 (17) (2020)
Xiaoying Wang, Bin Yu, Anjun Ma, Cheng Chen, Bingqiang Liu, Qin Ma
Protein-protein interaction sites prediction by ensemble random forests with synthetic minority oversampling technique. Bioinform. 35 (14) (2019)
Hongyan Zhou, Cheng Chen, Minghui Wang, Qin Ma, Bin Yu
Predicting Golgi-Resident Protein Types Using Conditional Covariance Minimization With XGBoost Based on Multiple Features Fusion. IEEE Access 7 (2019)
Jianying Lin, Hui Chen, Shan Li, Yushuang Liu, Xuan Li, Bin Yu
Accurate prediction of potential druggable proteins based on genetic algorithm and Bagging-SVM ensemble classifier. Artif. Intell. Medicine 98 (2019)
Shenghui Liu, Chunrui Xu, Yusen Zhang, Jiaguo Liu, Bin Yu, Xiaoping Liu, Matthias Dehmer
Feature selection of gene expression data for Cancer classification using double RBF-kernels. BMC Bioinform. 19 (1) (2018)