蒋兴鹏

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个人主页

基本信息

姓名:蒋兴鹏  教授                

单位:华中师范大学计算机学院

联系方式:xpjiang@ccnu.edu.cn                   

通讯地址:湖北省武汉市雄楚大道382号南湖综合楼7101

科研兴趣

医学人工智能,生物信息学,微生物组大数据,生物网络,微生物群落动力学

个人简介:

目前担任华中师范大学计算机学院教授,博士生导师,计算机科学与技术系系主任。目前主持国家自然科学基金面上项目一项,并参与国家自然科学基金重点项目、“精准医疗”重点专项等科研项目,其中以第一作者或者通讯作者在医学人工智能和微生物组学数据挖掘等方面发表SCI论文20余篇。积极参与学术服务,担任了湖北省生物信息学会副理事长、IEEE BIBM程序委员会委员、中国计算机学会生物信息学专委会委员等兼职,担任了本领域多个国际期刊的编委、审稿等工作;热心参与公益事业,担任了北京丰盛公益基金会树洞行动救援团的技术支持委员会主任。

主持科研项目:

1.     国家自然科学基金面上项目,基于多组学数据的微生物高阶相互作用预测关键技术研究 项目批准号:61872157 60万,2019.01-2022.12,在研,主持

工作经历:

2015.01——现在      教授            华中师范大学计算机学院

2017.01-2017.04      访问学者      美国加州大学伯克利分校公共健康学院

2012.01—2015.01     博士后        美国Drexel大学信息与计算学院

2009.08—2012.01     博士后        加拿大McMaster大学生物系

主要社会服务

湖北省生物信息学会                                                                副理事长

中国计算机学会生物信息专委会                                              委员

中国医药生物技术协会基因检测技术分会专委会                    常务委员

IEEE BIBM(生物医学与生物信息学)程序委员会                 委员

Journal of Data Mining and Bioinformatics SCI               编委

Journal of Artificial Intelligence for Medical Sciences             编委

Advances in Biomarker Sciences and Technology                 编委

北京丰盛公益基金会树洞救援理事会技术支持委员会             主任

代表论文(*通讯作者)

1.             Ma Y, He T, Tan Y-T, Jiang X*: Seq-BEL: Sequence-based Ensemble Learning for Predicting Virus-human Protein-protein Interaction. IEEE/ACM Transactions on Computational Biology and Bioinformatics 2020 Accepted. SCI

2.             Ma Y, He T, Jiang X*: Multinetwork logistic matrix factorization for metabolite–disease interaction prediction. FEBS letters 2020. SCI

3.             Ma Y, He T, Ge L, Zhang C, Jiang X*: MiRNA-disease interaction prediction based on kernel neighborhood similarity and multi-network bidirectional propagation. BMC medical genomics 2019, 12(10):1-14. SCI

4.             Ma Y, He T, Jiang X*: Projection-based neighborhood non-negative matrix factorization for lncRNA-protein interaction prediction. Frontiers in Genetics 2019, 10:1148. SCI

5.             Liu D, Ma Y, Jiang X*, He T*: Predicting virus-host association by Kernelized logistic matrix factorization and similarity network fusion. BMC bioinformatics 2019, 20(16):594. SCI

6.             Li X, Fu C, Zhong R, Zhong D, He T, Jiang X*: A hybrid deep learning framework for bacterial named entity recognition with domain features. BMC bioinformatics 2019, 20(16):1-9. SCI

7.             Wang X, Li Y, He T, Jiang X*, Hu X: Recognition of bacteria named entity using conditional random fields in spark. BMC systems biology 2018, 12(6):106. SCI

8.             Jiang X, Hu X, Xu W: Microbiome Data Representation by Joint Nonnegative Matrix Factorization with Laplacian Regularization. IEEE/ACM Transactions on Computational Biology and Bioinformatics 2017, 14(2):353-359. SCI

9.             Ma Y, Hu X, He T, Jiang X*: Hessian regularization based symmetric nonnegative matrix factorization for clustering gene expression and microbiome data. Methods 2016, 111:80-84. SCI

10.          Jiang X, Hu X, He T: Identification of the clustering structure in microbiome data by density clustering on the Manhattan distance. Science China Information Sciences 2016, 59(7):070104. SCI

11.          Zhang Y, Hu X, Jiang X*: Multi-view clustering of microbiome samples by robust similarity network fusion and spectral clustering. IEEE/ACM Transactions on Computational Biology and Bioinformatics 2015, 14(2):264-271. SCI

12.          Xu W, Jiang X*, Hu X*, Li G: Visualization of genetic disease-phenotype similarities by multiple maps t-SNE with Laplacian regularization. BMC medical genomics 2014, 7(2):1-9. SCI

13.          Jiang X, Xu W, Park E, Li G: Selecting Protein Families for Environmental Features Based on Manifold Regularization. IEEE Trans Nanobioscience 2014, 13(2):104-108. SCI

14.          Jiang X, Hu X: Inferring microbial interaction networks based on consensus similarity network fusion. Science China Life Sciences 2014, 57(11):1115-1120. SCI

15.          Jiang X, Hu X, Xu W, He T, Park EK: Comparison of dimensional reduction methods for detecting and visualizing novel patterns in human and marine microbiome. NanoBioscience, IEEE Transactions on 2013, 12(3):199-205. SCI

16.          Bartram A, Jiang X, Lynch M, Masella A, Nicol G, Dushoff J, Neufeld J: Exploring links between pH and bacterial community composition in soils from the Craibstone Experimental Farm. FEMS Microbiology Ecology 2013, 87(2):403-415. SCI

17.          Jiang X, Weitz JS, Dushoff J: A non-negative matrix factorization framework for identifying modular patterns in metagenomic profile data. Journal of Mathematical Biology 2012, 64(4):697-711. SCI

18.          Jiang X, Langille MGI, Neches RY, Elliot M, Levin SA, Eisen JA, Weitz JS, Dushoff J: Functional Biogeography of Ocean Microbes Revealed through Non-Negative Matrix Factorization. PLoS ONE 2012, 7(9):e43866. SCI

19.          Jiang X, Liu B, Jiang J, Zhao H, Fan M, Zhang J, Fan Z, Jiang T: Modularity in the genetic disease-phenotype network. FEBS letters 2008, 582(17):2549-2554. SCI

20.          Jiang X,, Yin L, Ya M, Dazhi M: A new DNA alogorithm to solve graph coloring problem. Progress in natural science 2007, 17(6):733-738. SCI

 

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