2014.8 2015.8
香港城市大学
电子信息工程
研究生(博士后)
工学博士学位
2011.3 2011.9
香港城市大学
电子信息工程
访问学者
2009.9 2012.7
中山大学
数学与应用数学
博士研究生

2017.1 至今 中国地质大学（武汉） 自动化学院 副教授 2015.9 2017.7 中国地质大学（武汉） 自动化学院 讲师 2012.7 2015.9 广东财经大学 数学与统计学院 讲师

图小波及稀疏概率图模型在重构高精度蛋白质网络中的应用（国家自然科学基金青年基金 No.11401110 2015-2017 经费22万）

基于稀疏概率图模型及多源数据融合的动态蛋白质相互作用网络建模与应用研究（湖北省自然科学基金一般面上项目NO. 2016CFB481 2017-2018 经费3万）

基于高维多源融合数据的蛋白质网络重构研究（中国地质大学（武汉）C类学术创新基地复杂系统先进控制与智能地学仪器研究中心开放基金项目 No.AU2015CJ008 2015-2017 经费6万）

面向高维融合数据的稀疏图模型及在蛋白质相互作用网络重构方面的应用（广东省高校自然科学研究项目No.2013KJCX0086 2013-2015 经费6万）

X. T. Huang, Yuan Zhu*#, “Inference of cellular level signaling networks using single-cell gene expression data in C.elegans reveals mechanisms of cell fate specification”, Bioinformatics, vol.33, no.10, pp. 1528-1535, 2017.




Chong Wu, Tao Wu, Kaiyuan Fu, Yuan Zhu, Yongbo Li, Wangyong He and Shengwen Tang, “AMOBH: adaptive multiobjective black hole algorithm”, Computational Intelligence and Neuroscience, 2017(6153951): 1-19, 2017.




X. T. Huang, Yuan Zhu*#, H. Yan, “Integrative C. elegans protein-protein interaction network with reliability assessment based on probabilistic graph model”, Molecular Biosystems, vol.12, no.1, pp.85-92, 2016.




Yuan Zhu#, X. F. Zhang D. Q. Dai and M. Y. Wu, “Identifying spurious interactions and predicting missing interactions in the protein-protein interaction networks via a generative network model”, IEEE/ACM Transactions on Computational Biology and Bioinformatics, vol. 10, pp.219-225, 2013.




Yuan Zhu#, W. Zhou, D. Q. Dai and H. Yan, “Identification of DNA-binding and protein-binding proteins using enhanced graph wavelet features”, IEEE/ACM Transactions on Computational Biology and Bioinformatics, vol. 10, pp.1017-1031, 2013.




Yuan Zhu#, W. Gao and D. Li, “Characterization of generators for multiresolution analyses with composite dilations”, Abstract and Applied Analysis, 2011(DOI:10.1155/2011/850850).




L. Ou-Yang, X. F. Zhang, D. D. Dai, M. Y. Wu, Yuan Zhu, Z. Liu and H. Yan, “Protein complex detection based on partially shared multi-view clustering”, BMC Bioinformatics, vol. 17, p.371, 2016.




X. F. Zhang, L. Ou-Yang, D. D. Dai, M. Y. Wu, Yuan Zhu and Hong Yan, “Comparative analysis of housekeeping and tissue-specific driver nodes in human protein interaction networks”, BMC Bioinformatics, vol. 17, p.358, 2016.




M. Y. Wu, X. F. Zhang, D. D. Dai, L. Ou-Yang, Yuan Zhu, and Hong Yan, “Regularized logistic regression with network-based pairwise interaction for biomarker identification in breast cancer”, BMC Bioinformatics, vol. 17, p.108, 2016.




J. Zhou, Yuan Zhu* and Hong Yan, “Local topology preserved tensor models for graph matching”, IEEE International Conference on Systems Man and Cybernetics 2015: 2153-2157, 2015.




X. F. Zhang, L.Ou-yang, Yuan Zhu, M. Y. Wu and D.Q.Dai, “Determining minimum set of driver nodes in protein-protein interaction networks”, BMC Bioinformatics, vol. 16, p.146, 2015.




M. Y. Wu, D. Q. Dai, X. F. Zhang and Yuan Zhu, “Cancer subtype discovery and biomarker identification via a new robust network clustering algorithm”, PLoS ONE, vol. 8, p. e66256, 2013.