Jun Wang(王峻)
Jun Wang(王峻)
Professor, School of Software, Shandong University
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
Incomplete multi-view weak-label learning.
Q Tan, G Yu, C Domeniconi, J Wang, Z Zhang
Ijcai, 2703-2709, 2018
A literature review of gene function prediction by modeling gene ontology
Y Zhao, J Wang, J Chen, X Zhang, M Guo, G Yu
Frontiers in genetics 11, 400, 2020
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
Activehne: Active heterogeneous network embedding
X Chen, G Yu, J Wang, C Domeniconi, Z Li, X Zhang
arXiv preprint arXiv:1905.05659, 2019
BRWLDA: bi-random walks for predicting lncRNA-disease associations
G Yu, G Fu, C Lu, Y Ren, J Wang
Oncotarget 8 (36), 60429, 2017
Ranking-based deep cross-modal hashing
X Liu, G Yu, C Domeniconi, J Wang, Y Ren, M Guo
Proceedings of the AAAI conference on artificial intelligence 33 (01), 4400-4407, 2019
Individuality-and commonality-based multiview multilabel learning
Q Tan, G Yu, J Wang, C Domeniconi, X Zhang
IEEE transactions on cybernetics 51 (3), 1716-1727, 2019
Multi-label co-training
Y Xing, G Yu, C Domeniconi, J Wang, Z Zhang
Proceedings of the 27th international joint conference on artificial …, 2018
Multi-view multiple clusterings using deep matrix factorization
S Wei, J Wang, G Yu, C Domeniconi, X Zhang
Proceedings of the AAAI conference on artificial intelligence 34 (04), 6348-6355, 2020
Multi-scale Agent-based Modeling on melanoma and its related angiogenesis analysis
J Wang, L Zhang, C Jing, G Ye, H Wu, H Miao, Y Wu, X Zhou
Theoretical Biology and Medical Modelling 10, 41, 2013
Clustering cancer gene expression data by projective clustering ensemble
X Yu, G Yu, J Wang
PloS one 12 (2), e0171429, 2017
Multi-view multiple clustering
S Yao, G Yu, J Wang, C Domeniconi, X Zhang
arXiv preprint arXiv:1905.05053, 2019
Semi-supervised multi-label classification using incomplete label information
Q Tan, Y Yu, G Yu, J Wang
Neurocomputing 260, 192-202, 2017
BMC3C: binning metagenomic contigs using codon usage, sequence composition and read coverage
G Yu, Y Jiang, J Wang, H Zhang, H Luo
Bioinformatics 34 (24), 4172-4179, 2018
Protein-protein interactions prediction using a novel local conjoint triad descriptor of amino acid sequences
J Wang, L Zhang, L Jia, Y Ren, G Yu
International journal of molecular sciences 18 (11), 2373, 2017
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
NegGOA: negative GO annotations selection using ontology structure
G Fu, J Wang, B Yang, G Yu
Bioinformatics 32 (19), 2996-3004, 2016
Gene function prediction based on gene ontology hierarchy preserving hashing
Y Zhao, G Fu, J Wang, M Guo, G Yu
Genomics 111 (3), 334-342, 2019
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