Face Recognition Using Curvelet-Based Two-Dimensional Principle Component Analysis. - Yan Zhang 037; Bin Yu 007; Hai-Ming Gu (Int. J. Pattern Recognit. Artif. Intell., 2012)

Multi-Level Document Image Segmentation using Multi-Layer Perceptron and Support Vector Machine. - Yan Zhang 037; Bin Yu 007; Hai-Ming Gu (Int. J. Pattern Recognit. Artif. Intell., 2012)

Evaluating Cities' Independent Innovation Capabilities Based on Patent Using Data Analysis Methods. - Yan Zhang 037; Ping Yuan; Bin Yu 007 (ICPCSEE (1), 2017)

Feature selection of gene expression data for Cancer classification using double RBF-kernels. - Shenghui Liu; Chunrui Xu; Yusen Zhang 002; Jiaguo Liu; Bin Yu 007; Xiaoping Liu 002; Matthias Dehmer (BMC Bioinform., 2018)

Tire Defects Classification Using Convolution Architecture for Fast Feature Embedding. - Yan Zhang 037; Xuehong Cui; Yun Liu 007; Bin Yu 007 (Int. J. Comput. Intell. Syst., 2018)

Predicting Golgi-Resident Protein Types Using Conditional Covariance Minimization With XGBoost Based on Multiple Features Fusion. - Hongyan Zhou; Cheng Chen; Minghui Wang; Qin Ma 003; Bin Yu 007 (IEEE Access, 2019)

Accurate prediction of potential druggable proteins based on genetic algorithm and Bagging-SVM ensemble classifier. - Jianying Lin; Hui Chen; Shan Li; Yushuang Liu; Xuan Li; Bin Yu 007 (Artif. Intell. Medicine, 2019)

Protein-protein interaction sites prediction by ensemble random forests with synthetic minority oversampling technique. - Xiaoying Wang; Bin Yu 007; Anjun Ma; Cheng Chen; Bingqiang Liu; Qin Ma 003 (Bioinform., 2019)

Defect Inspection in Tire Radiographic Image Using Concise Semantic Segmentation. - Zhouzhou Zheng; Sen Zhang; Bin Yu 007; Qingdang Li; Yan Zhang 037 (IEEE Access, 2020)

SubMito-XGBoost: predicting protein submitochondrial localization by fusing multiple feature information and eXtreme gradient boosting. - Bin Yu 007; Wenying Qiu; Cheng Chen; Anjun Ma; Jing Jiang; Hongyan Zhou; Qin Ma 003 (Bioinform., 2020)

Improving protein-protein interactions prediction accuracy using XGBoost feature selection and stacked ensemble classifier. - Cheng Chen; Qingmei Zhang; Bin Yu 007; Zhaomin Yu; Patrick J. Lawrence; Qin Ma 003; Yan Zhang 037 (Comput. Biol. Medicine, 2020)

GTB-PPI: Predict Protein-protein Interactions Based on L1-regularized Logistic Regression and Gradient Tree Boosting. - Bin Yu 007; Cheng Chen; Hongyan Zhou; Bingqiang Liu; Qin Ma 003 (Genom. Proteom. Bioinform., 2020)

SulSite-GTB: identification of protein S-sulfenylation sites by fusing multiple feature information and gradient tree boosting. - Minghui Wang; Xiaowen Cui; Bin Yu 007; Cheng Chen; Qin Ma 003; Hongyan Zhou (Neural Comput. Appl., 2020)

Jointly Learning to Align and Aggregate with Cross Attention Pooling for Peptide-MHC Class I Binding Prediction. - Cheng Chen; Zongzhao Qiu; Zhenghe Yang; Bin Yu 007; Xuefeng Cui (BIBM, 2021)

MSMANet: A multi-scale mesh aggregation network for brain tumor segmentation. - Yan Zhang 037; Yao Lu; Wankun Chen; Yankang Chang; Haiming Gu; Bin Yu 007 (Appl. Soft Comput., 2021)

StackPDB: Predicting DNA-binding proteins based on XGB-RFE feature optimization and stacked ensemble classifier. - Qingmei Zhang; Peishun Liu; Xue Wang; Yaqun Zhang; Yu Han; Bin Yu 007 (Appl. Soft Comput., 2021)

The functional determinants in the organization of bacterial genomes. - Zhaoqian Liu; Jingtong Feng; Bin Yu 007; Qin Ma 003; Bingqiang Liu (Briefings Bioinform., 2021)

Fertility-LightGBM: A fertility-related protein prediction model by multi-information fusion and light gradient boosting machine. - Minghui Wang; Lingling Yue; Xinhua Yang; Xiaolin Wang; Yu Han; Bin Yu 007 (Biomed. Signal Process. Control., 2021)

DNN-DTIs: Improved drug-target interactions prediction using XGBoost feature selection and deep neural network. - Cheng Chen; Han Shi; Zhiwen Jiang; Adil Salhi; Ruixin Chen; Xuefeng Cui; Bin Yu 007 (Comput. Biol. Medicine, 2021)

Prediction of protein-protein interaction sites through eXtreme gradient boosting with kernel principal component analysis. - Xue Wang; Yaqun Zhang; Bin Yu 007; Adil Salhi; Ruixin Chen; Lin Wang; Zengfeng Liu (Comput. Biol. Medicine, 2021)

Prediction of protein-protein interactions based on elastic net and deep forest. - Bin Yu 007; Cheng Chen; Xiaolin Wang; Zhaomin Yu; Anjun Ma; Bingqiang Liu (Expert Syst. Appl., 2021)

HLU2-Net: A Residual U-Structure Embedded U-Net With Hybrid Loss for Tire Defect Inspection. - Zhouzhou Zheng; Huanbo Yang; Liang Zhou; Bin Yu 007; Yan Zhang 037 (IEEE Trans. Instrum. Meas., 2021)

RPI-MDLStack: Predicting RNA-protein interactions through deep learning with stacking strategy and LASSO. - Bin Yu 007; Xue Wang; Yaqun Zhang; Hongli Gao; Yifei Wang; Yushuang Liu; Xin Gao 001 (Appl. Soft Comput., 2022)

Predicting the multi-label protein subcellular localization through multi-information fusion and MLSI dimensionality reduction based on MLFE classifier. - Yushuang Liu; Shuping Jin; Hongli Gao; Xue Wang; Congjing Wang; Weifeng Zhou; Bin Yu 007 (Bioinform., 2022)

Identification of DNA modification sites based on elastic net and bidirectional gated recurrent unit with convolutional neural network. - Bin Yu 007; Yaqun Zhang; Xue Wang; Hongli Gao; Jianqiang Sun; Xin Gao 001 (Biomed. Signal Process. Control., 2022)

MTDCNet: A 3D multi-threading dilated convolutional network for brain tumor automatic segmentation. - Wankun Chen; Weifeng Zhou; Ling Zhu; Yuan Cao; Haiming Gu; Bin Yu 007 (J. Biomed. Informatics, 2022)

Malsite-Deep: Prediction of protein malonylation sites through deep learning and multi-information fusion based on NearMiss-2 strategy. - Minghui Wang; Lili Song; Yaqun Zhang; Hongli Gao; Lu Yan; Bin Yu 007 (Knowl. Based Syst., 2022)

DEEPStack-RBP: Accurate identification of RNA-binding proteins based on autoencoder feature selection and deep stacking ensemble classifier. - Qinqin Wei; Qingmei Zhang; Hongli Gao; Tao Song 001; Adil Salhi; Bin Yu 007 (Knowl. Based Syst., 2022)

MBANet: A 3D convolutional neural network with multi-branch attention for brain tumor segmentation from MRI images. - Yuan Cao; Weifeng Zhou; Min Zang; Dianlong An; Yan Feng; Bin Yu 007 (Biomed. Signal Process. Control., 2023)

Prediction of protein-protein interactions based on ensemble residual convolutional neural network. - Hongli Gao; Cheng Chen; Shuangyi Li; Congjing Wang; Weifeng Zhou; Bin Yu 007 (Comput. Biol. Medicine, 2023)

scBKAP: A Clustering Model for Single-Cell RNA-Seq Data Based on Bisecting K-Means. - Xiaolin Wang; Hongli Gao; Ren Qi; Ruiqing Zheng; Xin Gao 001; Bin Yu 007 (IEEE ACM Trans. Comput. Biol. Bioinform., 2023)

Cooperation of local features and global representations by a dual-branch network for transcription factor binding sites prediction. - Yutong Yu; Pengju Ding; Hongli Gao; Guozhu Liu; Fa Zhang 001; Bin Yu 007 (Briefings Bioinform., 2023)

A universal framework for single-cell multi-omics data integration with graph convolutional networks. - Hongli Gao; Bin Zhang 042; Long Liu; Shan Li; Xin Gao 001; Bin Yu 007 (Briefings Bioinform., 2023)

GMetaNet: Multi-scale ghost convolutional neural network with auxiliary MetaFormer decoding path for brain tumor segmentation. - Yao Lu; Yankang Chang; Zhouzhou Zheng; Yingwei Sun; Mengmeng Zhao; Bin Yu 007; Chengliang Tian; Yan Zhang 037 (Biomed. Signal Process. Control., 2023)

DE-MHAIPs: Identification of SARS-CoV-2 phosphorylation sites based on differential evolution multi-feature learning and multi-head attention mechanism. - Minghui Wang; Lu Yan; Jihua Jia; Jiali Lai; Hongyan Zhou; Bin Yu 007 (Comput. Biol. Medicine, 2023)

DeepSTF: predicting transcription factor binding sites by interpretable deep neural networks combining sequence and shape. - Pengju Ding; Yifei Wang; Xinyu Zhang; Xin Gao 001; Guozhu Liu; Bin Yu 007 (Briefings Bioinform., 2023)

DBGRU-SE: predicting drug-drug interactions based on double BiGRU and squeeze-and-excitation attention mechanism. - Mingxiang Zhang; Hongli Gao; Xin Liao; Baoxing Ning; Haiming Gu; Bin Yu 007 (Briefings Bioinform., 2023)

BiGRUD-SA: Protein S-sulfenylation sites prediction based on BiGRU and self-attention. - Tingting Zhang; Jihua Jia; Cheng Chen; Yaqun Zhang; Bin Yu 007 (Comput. Biol. Medicine, 2023)

RPI-CapsuleGAN: Predicting RNA-protein interactions through an interpretable generative adversarial capsule network. - Yifei Wang; Xue Wang; Cheng Chen; Hongli Gao; Adil Salhi; Xin Gao 001; Bin Yu 007 (Pattern Recognit., 2023)

A weighted integration method based on graph representation learning for drug repositioning. - Haojie Lian; Pengju Ding; Chao Yu; Xinyu Zhang; Guozhu Liu; Bin Yu 007 (Appl. Soft Comput., 2024)

AntiCVP-Deep: Identify anti-coronavirus peptides between different negative datasets based on self-attention and deep learning. - Lu Yan; Minghui Wang; Hongyan Zhou; Yushuang Liu; Bin Yu 007 (Biomed. Signal Process. Control., 2024)

Res-GCN: Identification of protein phosphorylation sites using graph convolutional network and residual network. - Minghui Wang; Jihua Jia; Fei Xu; Hongyan Zhou; Yushuang Liu; Bin Yu 007 (Comput. Biol. Chem., 2024)

DAUnet: A U-shaped network combining deep supervision and attention for brain tumor segmentation. - Yan Feng; Yuan Cao; Dianlong An; Panpan Liu; Xingyu Liao; Bin Yu 007 (Knowl. Based Syst., 2024)

DRBPPred-GAT: Accurate prediction of DNA-binding proteins and RNA-binding proteins based on graph multi-head attention network. - Xinyu Zhang; Yifei Wang; Qinqin Wei; Shiyue He; Adil Salhi; Bin Yu 007 (Knowl. Based Syst., 2024)

Dynamic weighted knowledge distillation for brain tumor segmentation. - Dianlong An; Panpan Liu; Yan Feng; Pengju Ding; Weifeng Zhou; Bin Yu 007 (Pattern Recognit., 2024)

ML-FGAT: Identification of multi-label protein subcellular localization by interpretable graph attention networks and feature-generative adversarial networks. - Congjing Wang; Yifei Wang; Pengju Ding; Shan Li; Xu Yu; Bin Yu 007 (Comput. Biol. Medicine, 2024)

DTF-diffusion: A 3D equivariant diffusion generation model based on ligand-target information fusion. - Jianxin Wang; Yongxin Zhu; Yushuang Liu; Bin Yu 007 (Comput. Biol. Chem., 2025)

Graph convolutional network based on self-attention variational autoencoder and capsule contrastive learning for aspect-based sentiment analysis. - Xinyue Wang; Long Liu; Zhuo Chen; Haiyan Wang; Bin Yu 007 (Expert Syst. Appl., 2025)

MSN-DTA: A multi-scale node adaptive graph neural network for interpretable drug-target binding affinity prediction. - Jianxin Wang; Pengju Ding; Yongxin Zhu; Xin Gao 001; Xu Yu; Bin Yu 007 (Knowl. Based Syst., 2025)

DeepUTF: Locating transcription factor binding sites via interpretable dual-channel encoder-decoder structure. - Pengju Ding; Jianxin Wang; Shiyue He; Xin Gao 001; Xu Yu; Bin Yu 007 (Pattern Recognit., 2025)

RPI-GGCN: Prediction of RNA-Protein Interaction Based on Interpretability Gated Graph Convolution Neural Network and Co-Regularized Variational Autoencoders. - Yifei Wang; Pengju Ding; Congjing Wang; Shiyue He; Xin Gao 001; Bin Yu 007 (IEEE Trans. Neural Networks Learn. Syst., 2025)