Xingpeng Jiang

Ph.D, Professor, and Chair

School of Computer, Central China Normal University, Wuhan, Hubei Province, China

Positions

Professor, School of Computer, Central China Normal University, China, 2015-present

Postdoc Scientist,College of Computing and Informatics, Drexel University, US, 2012-2015

Postdoc Associate, Department of Biology, McMaster University, Canada, 2009-2012

Educations

Ph.D., Institute of Automation, China Academy of Sciences, 2005-2009

Master, School of Applied Science, Beijing University of Technology, 2001-2004,

Bachelor, School of Mathematics &Statistics, Qufu Normal University, 1997-2001

Grants and Honours

1.“Chutian Young Scholar” Talent Program in Hubei Province, China, 2015-2019

2.co-PI, Pattern extraction and analysis from high-throughput microbiome data, key program of National Science Funding of China, 2016-2020

3.PI, Computational prediction of high-order microbial interaction from multi-omics data, general program of National Science Funding of China, 2019-2022

Academic service

1.Associate Editor of Journal of Artificial Intelligence for Medical Sciences, since 2021

2.Editor board of Advances in Biomarker Sciences and Technology, since 2019

3.Program Committee Member of IEEE International Conference on Bioinformatics and Biomedicine since 2013

4.Committee Member of the Bioinformatics Committee of the Chinese Computer Society, since 2017

5.Standing Committee Member of Gene Detection Technology Branch of the Chinese Pharmaceutical Biotechnology Association, since 2018

6.Vice Chair of the Hubei Province Bioinformatics Society, China, since 2018

7.Editor board of International Journal of Data Mining and Bioinformatics, since 2014.

8.Guest Editorial for Special Section on BIBM. IEEE/ACM Transactions on Computational Biology and Bioinformatics, BMC Bioinformatics, BMC Genomics, 2013,2019, 2021

Selected Publications

Sun H, Huang X, Huo B, Tan Y, He T, Jiang X*. Detecting sparse microbial association signals adaptively from longitudinal microbiome data based on generalized estimating equations. Briefs in Bioinformatics. 2022(Accepted, DOI: 10.1093/bib/bbac149)

Sun H, Huang X, Fu L, Huo B, He T, Jiang X*. A powerful adaptive microbiome-based association test for microbial association signals with diverse sparsity levels. Journal of Genetics and Genomics. 2021;48(9):851-9

Zhu Q, Li B, He T, Li G, Jiang X*: Robust biomarker discovery for microbiome-wide association studies. Methods 2020, 173:44-51. (SCI)

Zhu Q, Huo B, Sun H, Li B, Jiang X*: Application of Deep Learning in Microbiome. Journal of Artificial Intelligence for Medical Sciences 2020, 1(1-2):23-29. (Invited Review)

Ma Y, He T, Jiang X*: Multi‐network logistic matrix factorization for metabolite–disease interaction prediction. FEBS letters 2020, 594 (11), 1675-1684. (SCI)

Zhu Q, Jiang X*, Zhu Q, Pan M, He T: Graph embedding deep learning guide microbial biomarkers’ identification. Frontiers in Genetics 2019, 10:1182. (SCI)

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)

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)

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)

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)

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,)

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)

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)

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)

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)

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)

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

Jiang X, Hu XT, Xu W, Park EK: Predicting Microbial Interactions using Vector Autoregressive Model with Graph Regularization. IEEE/ACM Transactions on Computational Biology and Bioinformatics 2014. (SCI)

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

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. IEEE Transactions on Nanobioscience 2013, 12(3):199-205. (SCI)

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)

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)

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)

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)