Liu, Jingyuan

Associate Professor

Ph.D. in Statistics, Pennsylvania State University, USA, 2013


Phone:

Email:jingyuan@xmu.edu.cn

Office:D307

Biography Research Papers Research Projects

Education:
Ph.D. in Statistics, Department of Statistics, Pennsylvania State University (PSU), USA   2008-2013 
B.S. in Mathematical Statistics, School of Mathematics, Shandong University, China   2004-2008


Awards:
YanLu Excellent Research Award, Xiamen University 2017

Special No. 1 in the English Teaching Compitition, Xiamen University 2015

Excellent Teaching Award, WISE, Xiamen University 2014

Student Travel Grant for Joint Statistical Meetings, PSU 2012
Harkness Excellent Teaching Award, PSU 2011
Pennsylvania State University Fellowship, PSU 2008
Student of Distinction, Shandong Province 2008
First Class Academic Scholarship, Shandong University 2005-2007


Research Interests:

Statistical Tools for High and Ultrahigh Dimensional Models; Nonparametric and Semi-parametric Methods; Graphical Models; Statistical Genetics; Biostatistics

1.         “Variable Selection via Partial Correlation.” Runze Li, Jingyuan Liu*, Lejia Lou. Statistica Sinica. 27 (3), 983-996, 2017.

2.         “Model-Free Conditional Independence Feature Screening.” Luheng Wang, Jingyuan Liu*, Yong Li, Runze Li. Science China Mathematics. 60(3), 551-568, 2017. doi: 10.1007/s11425-016-0186-8

3.         “Feature Screening and Variable Selection for Partially Linear Models with Ultrahigh- dimensional Longitudinal Data.” Jingyuan Liu*. Neurocomputing. 195, 202-210, 2016. doi:10.1016/j.neucom.2015.09.122

4.         “A Selective Overview of Feature Screening for Ultrahigh-dimensional Data.” Jingyuan Liu, Wei Zhong and Runze Li. Science China Mathematics, 58(10), 1-22, 2015. doi: 10.1007/s11425-015-5062-9

5.         “2HiGWAS: A Unifying High-Dimensional Platform to Infer the Global Genetic Architecture of Trait Development.” Libo Jiang#, Jingyuan Liu#, Xuli Zhu, Meixia Ye, Lidan Sun, Xavier Lacaze and Rongling Wu. Briefings in Bioinformatics, 16(6), 905-911, 2015. doi: 10.1093/bib/bbv002

6.         “A Modified Region Approach for Multivariate Measurement System Capability Analysis.” Liangxing Shi, Qingmeng He, Jingyuan Liu and Zhen He. Quality and Reliability Engineering International, 2014. doi: 10.1002/qre.1724

7.       “Feature Selection for Varying Coefficient Models with Ultrahigh Dimensional Covariates.” Jingyuan Liu*, Runze Li, and Rongling Wu. Journal of the American Statistical Association, 109, 266-274, 2014. doi: 10.1080/01621459.2013.850086 ?

8.       “Model and Algorithm for Linkage Disequilibrium Analysis in a Nonequilibrium Population.” Jingyuan Liu, Zhong Wang, Yaqun Wang, Runze Li, Rongling Wu. Frontiers in Statistical Genetics. 3, 78, 2012. doi: 10.3389/fgene.2012.00078 ?

9.       “Dynamic Modeling of Genes Controlling Cancer Stem Cell Proliferation.” Zhong Wang, Jingyuan Liu, Jianxin Wang,Yaqun Wang, Ningtao Wang, Yao Li, Runze Li, Rongling Wu. Frontiers in Statistical Genetics. 3, 84, 2012.?doi: 10.3389/fgene.2012.00084 ?

10.       “Functional Mapping of Developmental Processes: Theory, Applications, and Prospects.” Kiranmoy Das, Zhongwen Huang, Jingyuan Liu, Guifang Fu, Jiahan Li, Yao Li, Chunfa Tong, Junyi Gai, Rongling Wu. Methods in Molecular Biology. 871, 227-243, 2012. doi: 10.1007/978-1-61779-785-9 12 ?

11.       “Statistical Models for Genetic Mapping in Polyploids: Challenges and Opportunities.” Jiahan Li, Kiranmoy Das, Jingyuan Liu, Guifang Fu, Yao Li, Christian Tobias, Rongling Wu. Methods in Molecular Biology. 871, 245-261, 2012. doi: 10.1007/978- 1-61779-785-9

12.       “Systems mapping of HIV-1 infection.” Wei Hou, Yihan Sui, Zhong Wang, Yaqun Wang, Ningtao Wang, Jingyuan Liu, Yao Li, Maureen Goodenow, Li Yin, Zuoheng Wang, Rongling Wu. BMC Genetics. 13(1), 91-97, 2012. doi: 10.1186/1471-2156- 13-91

 

 

·          高维模型误差项分布的研究与应用,国家自然科学基金面上项目,2018-2021

·          基于偏相关系数截断法的超高维模型的变量选择 国家自然科学基金青年科学基金项目,2015-2017

·          部分线性模型的大数据变量选择两步法,福建省教育厅社会科学研究项目,2014-2015

·          超高维变系数模型及拓展的统计分析方法,教育部留学回国人员科研启动基金,2014-2016

·          含有多重因变量的大数据统计分析方法,及此方法在动态生长曲线基因定位研究中的应用,中央高校基本科研业务费,2013-2015