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ORCIDBin Yu 0007
Person information
- affiliation: Qingdao University of Science and Technology, College of Mathematics and Physics, China
- affiliation: Qingdao University of Science and Technology, Artificial Intelligence and Biomedical Big Data Research Center, China
Other persons with the same name
- Bin Yu (aka: Yu Bin) — disambiguation page
- Bin Yu 0001 — University of California, Berkeley, Department of Statistics, CA, USA (and 1 more)
- Bin Yu 0002 — Michigan State University, Department of Computer Science, East Lansing, MI, USA
- Bin Yu 0003
![[0000-0003-1999-7413]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0003-1999-7413")
— Zhengzhou Information Science and Technology Institute, Department of Computer Science, China (and 2 more) - Bin Yu 0004 — Eindhoven University of Technology, Industrial Design Department, The Netherlands
- Bin Yu 0005 — Brunel University London, UK
- Bin Yu 0006 — Carnegie Mellon University, Pittsburgh, PA, USA (and 1 more)
- Bin Yu 0008 — Xidian University, School of Computer Science and Technology, Shaanxi, China (and 1 more)
- Bin Yu 0009 — Monash University, DATA61, CSIRO, Melbourne, VIC, Australia
- Bin Yu 0010 — University of Illinois Urbana-Champaign, Department of Computer Science, IL, USA
- Bin Yu 0011 — Xidian University, School of Computer Science and Technology, Xi'an, Shaanxi, China (and 1 more)
- Bin Yu 0012 — Hunan Normal University, School of Mathematics and Statistics, Changsha, China
- Bin Yu 0013 — University of Electronic Science and Technology of China, National Key Laboratory of Science and Technology on Communications, Chengdu, China (and 1 more)
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2020 – today
- 2024
[j37]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: 107944 (2024)- 2023
- [j36]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) - [j35]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) - [j34]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) - [j33]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) - [j32]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: 104694 (2023) - [j31]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: 106471 (2023) - [j30]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: 106935 (2023) - [j29]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: 107145 (2023) - [j28]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: 109626 (2023) - [j27]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): 2007-2015 (2023) - 2022
- [j26]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: 108676 (2022) - [j25]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): 1223-1230 (2022) - [j24]Bin Yu, Yaqun Zhang, Xue Wang, Hongli Gao, Jianqiang Sun, Xin Gao:
Identification of DNA modification sites based on elastic net and bidirectional gated recurrent unit with convolutional neural network. Biomed. Signal Process. Control. 75: 103566 (2022) - [j23]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: 104173 (2022) - [j22]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: 108191 (2022) - [j21]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: 109875 (2022) - 2021
- [j20]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: 106921 (2021) - [j19]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: 107733 (2021) - [j18]Zhaoqian Liu, Jingtong Feng, Bin Yu, Qin Ma, Bingqiang Liu:
The functional determinants in the organization of bacterial genomes. Briefings Bioinform. 22(3) (2021) - [j17]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: 102630 (2021) - [j16]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: 104516 (2021) - [j15]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: 104676 (2021) - [j14]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: 114876 (2021) - [j13]Zhouzhou Zheng, Huanbo Yang, Liang Zhou, Bin Yu, Yan Zhang:
HLU2-Net: A Residual U-Structure Embedded U-Net With Hybrid Loss for Tire Defect Inspection. IEEE Trans. Instrum. Meas. 70: 1-11 (2021) - [c2]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: 18-23 - 2020
- [j12]Zhouzhou Zheng, Sen Zhang, Bin Yu, Qingdang Li, Yan Zhang:
Defect Inspection in Tire Radiographic Image Using Concise Semantic Segmentation. IEEE Access 8: 112674-112687 (2020) - [j11]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): 1074-1081 (2020) - [j10]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: 103899 (2020) - [j9]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): 582-592 (2020) - [j8]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): 13843-13862 (2020)
2010 – 2019
- 2019
- [j7]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: 144154-144164 (2019) - [j6]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: 35-47 (2019) - [j5]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): 2395-2402 (2019) - 2018
- [j4]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): 396:1-396:14 (2018) - [j3]Yan Zhang, Xuehong Cui, Yun Liu, Bin Yu:
Tire Defects Classification Using Convolution Architecture for Fast Feature Embedding. Int. J. Comput. Intell. Syst. 11(1): 1056-1066 (2018) - 2017
- [c1]Yan Zhang, Ping Yuan, Bin Yu:
Evaluating Cities' Independent Innovation Capabilities Based on Patent Using Data Analysis Methods. ICPCSEE (1) 2017: 696-707 - 2012
- [j2]Yan Zhang, Bin Yu, Hai-Ming Gu:
Face Recognition Using Curvelet-Based Two-Dimensional Principle Component Analysis. Int. J. Pattern Recognit. Artif. Intell. 26(3) (2012) - [j1]Yan Zhang, Bin Yu, Hai-Ming Gu:
Multi-Level Document Image Segmentation using Multi-Layer Perceptron and Support Vector Machine. Int. J. Pattern Recognit. Artif. Intell. 26(6) (2012)
Coauthor Index
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