Guoxian Yu(余国先)
Guoxian Yu(余国先)
Professor, School of Software, Shandong University, Jinan, China
Verified email at - Homepage
Cited by
Cited by
Matrix factorization-based data fusion for the prediction of lncRNA–disease associations
G Fu, J Wang, C Domeniconi, G Yu
Bioinformatics 34 (9), 1529-1537, 2018
Protein–protein interactions prediction based on ensemble deep neural networks
L Zhang, G Yu, D Xia, J Wang
Neurocomputing 324, 10-19, 2019
Semi-supervised classification based on random subspace dimensionality reduction
G Yu, G Zhang, C Domeniconi, Z Yu, J You
Pattern Recognition 45 (3), 1119-1135, 2012
Protein function prediction using multilabel ensemble classification
G Yu, H Rangwala, C Domeniconi, G Zhang, Z Yu
IEEE/ACM Transactions on Computational Biology and Bioinformatics 10 (4 …, 2013
Transductive multi-label ensemble classification for protein function prediction
G Yu, C Domeniconi, H Rangwala, G Zhang, Z Yu
Proceedings of the 18th ACM SIGKDD international conference on Knowledge …, 2012
Incomplete multi-view weak-label learning.
Q Tan, G Yu, C Domeniconi, J Wang, Z Zhang
IJCAI, 2703-2709, 2018
BRWLDA: bi-random walks for predicting lncRNA-disease associations
G Yu, G Fu, C Lu, Y Ren, J Wang
Oncotarget 8 (36), 60429, 2017
Weighted-object ensemble clustering: methods and analysis
Y Ren, C Domeniconi, G Zhang, G Yu
Knowledge and Information Systems 51 (2), 661-689, 2017
Hybrid cluster ensemble framework based on the random combination of data transformation operators
Z Yu, HS Wong, J You, G Yu, G Han
Pattern Recognition 45 (5), 1826-1837, 2012
Predicting protein functions using incomplete hierarchical labels
G Yu, H Zhu, C Domeniconi
BMC Bioinformatics 16 (1), 2015
Feature-induced partial multi-label learning
G Yu, X Chen, C Domeniconi, J Wang, Z Li, Z Zhang, X Wu
2018 IEEE International Conference on Data Mining (ICDM), 1398-1403, 2018
Multi-label co-training
Y Xing, G Yu, C Domeniconi, J Wang, Z Zhang
Proceedings of the 27th international joint conference on artificial …, 2018
Predicting protein function via semantic integration of multiple networks
G Yu, G Fu, J Wang, H Zhu
IEEE/ACM Transactions on Computational Biology and Bioinformatics 13 (2 …, 2015
Semi-supervised ensemble classification in subspaces
G Yu, G Zhang, Z Yu, C Domeniconi, J You, G Han
Applied Soft Computing 12 (5), 1511-1522, 2012
Clustering cancer gene expression data by projective clustering ensemble
X Yu, G Yu, J Wang
PloS one 12 (2), e0171429, 2017
NegGOA: negative GO annotations selection using ontology structure
G Fu, J Wang, B Yang, G Yu
Bioinformatics 32 (19), 2996-3004, 2016
Activehne: Active heterogeneous network embedding
X Chen, G Yu, J Wang, C Domeniconi, Z Li, X Zhang
arXiv preprint arXiv:1905.05659, 2019
Semi-supervised classification based on subspace sparse representation
G Yu, G Zhang, Z Zhang, Z Yu, L Deng
Knowledge and Information Systems 43 (1), 81-101, 2015
Probabilistic cluster structure ensemble
Z Yu, L Li, HS Wong, J You, G Han, Y Gao, G Yu
Information Sciences 267, 16-34, 2014
Protein function prediction with incomplete annotations
G Yu, H Rangwala, C Domeniconi, G Zhang, Z Yu
IEEE/ACM Transactions on Computational Biology and Bioinformatics 11 (3 …, 2013
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