123-自动化学院
朱媛


朱媛 Yuan Zhu

副教授,硕士生导师
Associate Professor


中国地质大学(武汉),自动化学院,中国
School of Automation, China University of Geosciences, Wuhan, China


湖北省武汉市洪山区鲁磨路388号,430074
No.388 Lumo Road, HongShan District,Wuhan, Hubei, P.R.China, 430074


中国地质大学(武汉)西区信息楼802室
Room 802, Information Building, West Campus


常用邮箱 Email:zhuyuan@cug.edu.cn

简介

研究方向:机器学习,统计模式识别,复杂网络分析,生物信息学。

My research interests include machine learning, statistical pattern recognition, complex network analysis, bioinformatics.

目前正在招收研究生,请对我的研究方向感兴趣的同学与我联系。

I am currently looking for talented and motivated students. If you are interested, please send me your CV.

说明:我的研究方向主要侧重建模和算法,主要解决生物数据分析和预测处理等方面的问题,欢迎有自动化,计算机,数学,生物信息等教育背景的同学报考。报考前请咨询。

注意:请编程零基础的同学请慎重考虑!


Education (教育及工作情况)

  • 2009.09-2012.07, 数学与计算科学学院,中山大学,博士

  • 2009.09-2012.07:PhD in School of Mathematics and Computational Science, Sun Yat-Sen University, China

  • 2011.03-2011.09, 香港城市大学,电子工程系,访问学者

  • 2011.03-2011.09, Research Assistant in Department of Electronic Engineering, City University of HongKong, HongKong

  • 2014.08-2015.08, 香港城市大学,电子工程系,博士后(全日制)

  • 2014.08-2015.08, Senior Research Associate in Department of Electronic Engineering, City University of HongKong, HongKong

  • 2012.07-2015.09, 广东财经大学,数学与统计学院,讲师

  • 2012.07-2015.09, Assistant Professor in School of Mathematics and Statistics, Guangdong University of Finance & Economics, Guangzhou, China

  • 2015.09-2017.07, 中国地质大学(武汉),自动化学院,讲师

  • 2015.09-2017.07, Assistant Professor in School of Automation, China University of Geosciences, Wuhan, Hubei, China

  • 2017.01-至今, 中国地质大学(武汉),自动化学院,副教授

  • 2017.01-now, Associate Professor in School of Automation, China University of Geosciences, Wuhan, Hubei, China


Honors (获奖及指导学生获奖情况)
  • 2016年度中国地质大学(武汉)地大学者(2017-2019)

  • 讲授的《信号与系统》课程被评为2016年度中国地质大学(武汉)“最受欢迎课程”

  • 2015年度自动化学院青年教师讲课比赛第二名

  • 2017年度自动化学院青年教师讲课比赛第二名

  • 指导学生获2016年度亚太地区数学建模竞赛一等奖,获奖人:吴崇,张少杰,方屹

  • 指导学生获2017年度美国数学建模竞赛二等奖(2组),

  • 获奖人:吴崇,张少杰,王一煜;获奖人:曹家旺,卢春晓,王美琦


Projects (主持项目)
  1. 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)

  2. 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)

  3. 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)

  4. 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)


Publications (发表论文)

1. X. T. Huang, 朱媛*(共同第一作者,通讯作者)et al., Inference of cellular level signaling networks using single-cell gene expression data in C. elegans reveals mechanisms of cell fate specification, Bioinformatics (IF:7.307, T1), 33(10):1528-1535, 2017. [link]

2. X. T. Huang, 朱媛*(共同第一作者,通讯作者)et al., Integrative C. elegans protein-protein interaction network with reliability assessment based on probabilistic graph model, Molecular Biosystems (IF:2.781, T3), 12(1): 85-92, 2016. [link]

3. Meng-Yun Wu, Xiao-Fei Zhang, Dao-Qing Dai, Le Ou-Yang, 朱媛, Hong Yan. Regularized logistic regression with network-based pairwise interaction for biomarker identification in breast cancer, BMC Bioinformatics (T3), 17:108, 2016.[link]

4. Xiao-Fei Zhang, Le Ou-Yang, Dao-Qing Dai, Meng-Yun Wu, 朱媛 and Hong Yan Comparative analysis of housekeeping and tissue-specific driver nodes in human protein interaction networks, BMC Bioinformatics (T3), 17: 358, 2016.[link]

5. J. Zhou, 朱媛(通讯作者), Hong Yan, Local topology preserved tensor models for graph matching, 2015 IEEE International Conference on Systems Man and Cybernetics 2015:2153-2157.

6. X. F. Zhang, L.Ouyang, 朱媛, M. Y. Wu and D.Q.Dai, Determining minimum set of driver nodes in protein-protein interaction networks, BMC Bioinformatics (T3), 16:146, 2015.[link]

7. 朱媛, 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 (IF:1.955, T3), 10(1): 219-225, 2013.[link]

8. 朱媛, 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 (IF:1.955, T3), 10(4): 1017-1031, 2013.[link]

9. M. Y. Wu, D. Q. Dai, X. F. Zhang and 朱媛, Cancer subtype discovery and biomarker identification via a new robust network clustering algorithm, PLoS ONE (T2), 8: e66256, 2013.[link] 

10.朱媛, W. Gao and D. Li, Characterization of generators for multiresolution analyses with composite dilations, Abstract and Applied Analysis, 2011 (DOI:10.1155/2011/850850).[link]