Bin Yu

55 papers Journal 53Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
Feature Disentanglement-Based Heterogeneous Defect Prediction.
ACM Trans. Softw. Eng. Methodol.
Xu Yu, Jiaqi Yan, Qinqin Gao, Qinglong Peng, Bin Yu, Junwei Du, Ying Xing, Dunwei Gong
2026 J jnl
LDM-DTI: A multimodal framework integrating pretrained language models and geometric graph networks for interpretable drug-target interaction prediction.
Expert Syst. Appl.
Yuanyuan Ji, Zhuo Chen, Zhihan Liu, Xiaofeng Man, Junwei Du, Bin Yu
2025 J jnl
BiVAE-CPI: An Interpretable Generative Model Using a Bilateral Variational Autoencoder for Compound-Protein Interaction Prediction.
J. Chem. Inf. Model.
Yongxin Zhu, Jianxin Wang, Shiyue He, Xinghui Sun, Jiangning Song, Bin Yu
2025 J jnl
DTF-diffusion: A 3D equivariant diffusion generation model based on ligand-target information fusion.
Comput. Biol. Chem.
Jianxin Wang, Yongxin Zhu, Yushuang Liu, Bin Yu
2025 J jnl
DeepUTF: Locating transcription factor binding sites via interpretable dual-channel encoder-decoder structure.
Pattern Recognit.
Pengju Ding, Jianxin Wang, Shiyue He, Xin Gao, Xu Yu, Bin Yu
2025 J jnl
Graph convolutional network based on self-attention variational autoencoder and capsule contrastive learning for aspect-based sentiment analysis.
Expert Syst. Appl.
Xinyue Wang, Long Liu, Zhuo Chen, Haiyan Wang, Bin Yu
2025 J jnl
MSN-DTA: A multi-scale node adaptive graph neural network for interpretable drug-target binding affinity prediction.
Knowl. Based Syst.
Jianxin Wang, Pengju Ding, Yongxin Zhu, Xin Gao, Xu Yu, Bin Yu
2025 J jnl
RPI-GGCN: Prediction of RNA-Protein Interaction Based on Interpretability Gated Graph Convolution Neural Network and Co-Regularized Variational Autoencoders.
IEEE Trans. Neural Networks Learn. Syst.
Yifei Wang, Pengju Ding, Congjing Wang, Shiyue He, Xin Gao, Bin Yu
2024 J jnl
A weighted integration method based on graph representation learning for drug repositioning.
Appl. Soft Comput.
Haojie Lian, Pengju Ding, Chao Yu, Xinyu Zhang, Guozhu Liu, Bin Yu
2024 J jnl
AntiCVP-Deep: Identify anti-coronavirus peptides between different negative datasets based on self-attention and deep learning.
Biomed. Signal Process. Control.
Lu Yan, Minghui Wang, Hongyan Zhou, Yushuang Liu, Bin Yu
2024 J jnl
DAUnet: A U-shaped network combining deep supervision and attention for brain tumor segmentation.
Knowl. Based Syst.
Yan Feng, Yuan Cao, Dianlong An, Panpan Liu, Xingyu Liao, Bin Yu
2024 J jnl
DRBPPred-GAT: Accurate prediction of DNA-binding proteins and RNA-binding proteins based on graph multi-head attention network.
Knowl. Based Syst.
Xinyu Zhang, Yifei Wang, Qinqin Wei, Shiyue He, Adil Salhi, Bin Yu
2024 J jnl
Dynamic weighted knowledge distillation for brain tumor segmentation.
Pattern Recognit.
Dianlong An, Panpan Liu, Yan Feng, Pengju Ding, Weifeng Zhou, Bin Yu
2024 J jnl
ML-FGAT: Identification of multi-label protein subcellular localization by interpretable graph attention networks and feature-generative adversarial networks.
Comput. Biol. Medicine
Congjing Wang, Yifei Wang, Pengju Ding, Shan Li, Xu Yu, Bin Yu
2024 J jnl
Res-GCN: Identification of protein phosphorylation sites using graph convolutional network and residual network.
Comput. Biol. Chem.
Minghui Wang, Jihua Jia, Fei Xu, Hongyan Zhou, Yushuang Liu, Bin Yu
2023 J jnl
A universal framework for single-cell multi-omics data integration with graph convolutional networks.
Briefings Bioinform.
Hongli Gao, Bin Zhang, Long Liu, Shan Li, Xin Gao, Bin Yu
2023 J jnl
BiGRUD-SA: Protein S-sulfenylation sites prediction based on BiGRU and self-attention.
Comput. Biol. Medicine
Tingting Zhang, Jihua Jia, Cheng Chen, Yaqun Zhang, Bin Yu
2023 J jnl
Cooperation of local features and global representations by a dual-branch network for transcription factor binding sites prediction.
Briefings Bioinform.
Yutong Yu, Pengju Ding, Hongli Gao, Guozhu Liu, Fa Zhang, Bin Yu
2023 J jnl
DBGRU-SE: predicting drug-drug interactions based on double BiGRU and squeeze-and-excitation attention mechanism.
Briefings Bioinform.
Mingxiang Zhang, Hongli Gao, Xin Liao, Baoxing Ning, Haiming Gu, Bin Yu
2023 J jnl
DE-MHAIPs: Identification of SARS-CoV-2 phosphorylation sites based on differential evolution multi-feature learning and multi-head attention mechanism.
Comput. Biol. Medicine
Minghui Wang, Lu Yan, Jihua Jia, Jiali Lai, Hongyan Zhou, Bin Yu
2023 J jnl
DeepSTF: predicting transcription factor binding sites by interpretable deep neural networks combining sequence and shape.
Briefings Bioinform.
Pengju Ding, Yifei Wang, Xinyu Zhang, Xin Gao, Guozhu Liu, Bin Yu
2023 J jnl
GMetaNet: Multi-scale ghost convolutional neural network with auxiliary MetaFormer decoding path for brain tumor segmentation.
Biomed. Signal Process. Control.
Yao Lu, Yankang Chang, Zhouzhou Zheng, Yingwei Sun, Mengmeng Zhao, Bin Yu, Chengliang Tian, Yan Zhang
2023 J jnl
MBANet: A 3D convolutional neural network with multi-branch attention for brain tumor segmentation from MRI images.
Biomed. Signal Process. Control.
Yuan Cao, Weifeng Zhou, Min Zang, Dianlong An, Yan Feng, Bin Yu
2023 J jnl
Prediction of protein-protein interactions based on ensemble residual convolutional neural network.
Comput. Biol. Medicine
Hongli Gao, Cheng Chen, Shuangyi Li, Congjing Wang, Weifeng Zhou, Bin Yu
2023 J jnl
RPI-CapsuleGAN: Predicting RNA-protein interactions through an interpretable generative adversarial capsule network.
Pattern Recognit.
Yifei Wang, Xue Wang, Cheng Chen, Hongli Gao, Adil Salhi, Xin Gao, Bin Yu
2023 J jnl
scBKAP: A Clustering Model for Single-Cell RNA-Seq Data Based on Bisecting K-Means.
IEEE ACM Trans. Comput. Biol. Bioinform.
Xiaolin Wang, Hongli Gao, Ren Qi, Ruiqing Zheng, Xin Gao, Bin Yu
2022 J jnl
DEEPStack-RBP: Accurate identification of RNA-binding proteins based on autoencoder feature selection and deep stacking ensemble classifier.
Knowl. Based Syst.
Qinqin Wei, Qingmei Zhang, Hongli Gao, Tao Song, Adil Salhi, Bin Yu
2022 J jnl
Identification of DNA modification sites based on elastic net and bidirectional gated recurrent unit with convolutional neural network.
Biomed. Signal Process. Control.
Bin Yu, Yaqun Zhang, Xue Wang, Hongli Gao, Jianqiang Sun, Xin Gao
2022 J jnl
MTDCNet: A 3D multi-threading dilated convolutional network for brain tumor automatic segmentation.
J. Biomed. Informatics
Wankun Chen, Weifeng Zhou, Ling Zhu, Yuan Cao, Haiming Gu, Bin Yu
2022 J jnl
Malsite-Deep: Prediction of protein malonylation sites through deep learning and multi-information fusion based on NearMiss-2 strategy.
Knowl. Based Syst.
Minghui Wang, Lili Song, Yaqun Zhang, Hongli Gao, Lu Yan, Bin Yu
2022 J jnl
Predicting the multi-label protein subcellular localization through multi-information fusion and MLSI dimensionality reduction based on MLFE classifier.
Bioinform.
Yushuang Liu, Shuping Jin, Hongli Gao, Xue Wang, Congjing Wang, Weifeng Zhou, Bin Yu
2022 J jnl
RPI-MDLStack: Predicting RNA-protein interactions through deep learning with stacking strategy and LASSO.
Appl. Soft Comput.
Bin Yu, Xue Wang, Yaqun Zhang, Hongli Gao, Yifei Wang, Yushuang Liu, Xin Gao
2021 J jnl
DNN-DTIs: Improved drug-target interactions prediction using XGBoost feature selection and deep neural network.
Comput. Biol. Medicine
Cheng Chen, Han Shi, Zhiwen Jiang, Adil Salhi, Ruixin Chen, Xuefeng Cui, Bin Yu
2021 J jnl
Fertility-LightGBM: A fertility-related protein prediction model by multi-information fusion and light gradient boosting machine.
Biomed. Signal Process. Control.
Minghui Wang, Lingling Yue, Xinhua Yang, Xiaolin Wang, Yu Han, Bin Yu
2021 J jnl
HLU
IEEE Trans. Instrum. Meas.
Zhouzhou Zheng, Huanbo Yang, Liang Zhou, Bin Yu, Yan Zhang
2021 — conf
Jointly Learning to Align and Aggregate with Cross Attention Pooling for Peptide-MHC Class I Binding Prediction.
BIBM
Cheng Chen, Zongzhao Qiu, Zhenghe Yang, Bin Yu, Xuefeng Cui
2021 J jnl
MSMANet: A multi-scale mesh aggregation network for brain tumor segmentation.
Appl. Soft Comput.
Yan Zhang, Yao Lu, Wankun Chen, Yankang Chang, Haiming Gu, Bin Yu
2021 J jnl
Prediction of protein-protein interaction sites through eXtreme gradient boosting with kernel principal component analysis.
Comput. Biol. Medicine
Xue Wang, Yaqun Zhang, Bin Yu, Adil Salhi, Ruixin Chen, Lin Wang, Zengfeng Liu
2021 J jnl
Prediction of protein-protein interactions based on elastic net and deep forest.
Expert Syst. Appl.
Bin Yu, Cheng Chen, Xiaolin Wang, Zhaomin Yu, Anjun Ma, Bingqiang Liu
2021 J jnl
StackPDB: Predicting DNA-binding proteins based on XGB-RFE feature optimization and stacked ensemble classifier.
Appl. Soft Comput.
Qingmei Zhang, Peishun Liu, Xue Wang, Yaqun Zhang, Yu Han, Bin Yu
2021 J jnl
The functional determinants in the organization of bacterial genomes.
Briefings Bioinform.
Zhaoqian Liu, Jingtong Feng, Bin Yu, Qin Ma, Bingqiang Liu
2021 J jnl
scGMAI: a Gaussian mixture model for clustering single-cell RNA-Seq data based on deep autoencoder.
Briefings Bioinform.
Bin Yu, Cheng Chen, Ren Qi, Ruiqing Zheng, Patrick J. Skillman-Lawrence, Xiaolin Wang, Anjun Ma, Haiming Gu
2020 J jnl
Defect Inspection in Tire Radiographic Image Using Concise Semantic Segmentation.
IEEE Access
Zhouzhou Zheng, Sen Zhang, Bin Yu, Qingdang Li, Yan Zhang
2020 J jnl
GTB-PPI: Predict Protein-protein Interactions Based on L1-regularized Logistic Regression and Gradient Tree Boosting.
Genom. Proteom. Bioinform.
Bin Yu, Cheng Chen, Hongyan Zhou, Bingqiang Liu, Qin Ma
2020 J jnl
Improving protein-protein interactions prediction accuracy using XGBoost feature selection and stacked ensemble classifier.
Comput. Biol. Medicine
Cheng Chen, Qingmei Zhang, Bin Yu, Zhaomin Yu, Patrick J. Lawrence, Qin Ma, Yan Zhang
2020 J jnl
SubMito-XGBoost: predicting protein submitochondrial localization by fusing multiple feature information and eXtreme gradient boosting.
Bioinform.
Bin Yu, Wenying Qiu, Cheng Chen, Anjun Ma, Jing Jiang, Hongyan Zhou, Qin Ma
2020 J jnl
SulSite-GTB: identification of protein S-sulfenylation sites by fusing multiple feature information and gradient tree boosting.
Neural Comput. Appl.
Minghui Wang, Xiaowen Cui, Bin Yu, Cheng Chen, Qin Ma, Hongyan Zhou
2019 J jnl
Accurate prediction of potential druggable proteins based on genetic algorithm and Bagging-SVM ensemble classifier.
Artif. Intell. Medicine
Jianying Lin, Hui Chen, Shan Li, Yushuang Liu, Xuan Li, Bin Yu
2019 J jnl
Predicting Golgi-Resident Protein Types Using Conditional Covariance Minimization With XGBoost Based on Multiple Features Fusion.
IEEE Access
Hongyan Zhou, Cheng Chen, Minghui Wang, Qin Ma, Bin Yu
2019 J jnl
Protein-protein interaction sites prediction by ensemble random forests with synthetic minority oversampling technique.
Bioinform.
Xiaoying Wang, Bin Yu, Anjun Ma, Cheng Chen, Bingqiang Liu, Qin Ma
2018 J jnl
Feature selection of gene expression data for Cancer classification using double RBF-kernels.
BMC Bioinform.
Shenghui Liu, Chunrui Xu, Yusen Zhang, Jiaguo Liu, Bin Yu, Xiaoping Liu, Matthias Dehmer
2018 J jnl
Tire Defects Classification Using Convolution Architecture for Fast Feature Embedding.
Int. J. Comput. Intell. Syst.
Yan Zhang, Xuehong Cui, Yun Liu, Bin Yu
2017 — conf
Evaluating Cities' Independent Innovation Capabilities Based on Patent Using Data Analysis Methods.
ICPCSEE (1)
Yan Zhang, Ping Yuan, Bin Yu
2012 J jnl
Face Recognition Using Curvelet-Based Two-Dimensional Principle Component Analysis.
Int. J. Pattern Recognit. Artif. Intell.
Yan Zhang, Bin Yu, Hai-Ming Gu
2012 J jnl
Multi-Level Document Image Segmentation using Multi-Layer Perceptron and Support Vector Machine.
Int. J. Pattern Recognit. Artif. Intell.
Yan Zhang, Bin Yu, Hai-Ming Gu