详细页 - Faculty Directory - WISE

Liu, Jingyuan

Associate Professor

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

Phone:

Email:jingyuan@xmu.edu.cn

Office:D307

Office Hours:


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

Part of Published Journal Papers: (#:Equally contributed first author,*:Corresponding author)

1.          Wanghuan Chu#, Runze Li#, Jingyuan Liu*# and Matthew Reimherr#. “Feature selection for generalized varying coefficient mixed-effect models with application to obesity GWAS.” Annals of Applied Statistics. 2019+. Accepted.

2.         Yeqing Zhou#, Jingyuan Liu# and Liping Zhu. “Test for Conditional Independence with Application to Conditional Screening.” Journal of Multivariate Analysis. 2019+. In press. DOI: 10.1016/j.jmva.2019.104557.

3.         Jingyuan Liu*, Jason C. Legg, May Mo and Xuwen Zhang. “Considerations in testing treatment effects on transient event driven health status changes measured by patient reported outcomes.” Statistics in Medicine. 2019+. In press. DOI: 10.1002/sim.8376.

4.          Feifei Wang, Jingyuan Liu*, Hansheng Wang. “Sequential Text-Term Selection in Vector Space Models.Journal of Business & Economic Statistics. 2019+. In press. DOI: 10.1080/07350015.2019.1634079.

5.          Yeqing Zhou, Jingyuan Liu*, Zhihui Hao and Liping Zhu. “Model-Free Conditional Feature Screening with Exposure Variables.” Statistics and Its Interface. 12, 239-251, 2019. DOI: 10.4310/SII.2019.v12.n2.a5.

6.          Jingyuan Liu, Lejia Lou and Runze Li. “Variable Selection for Partially Linear Models via Partial Correlation.” Journal of Multivariate Analysis. 167, 418–434, 2018. DOI: 10.1016/j.jmva.2018.06.005.

7.          Jingyuan Liu*, Meixia Ye, Sheng Zhu, Libo Jiang, Mengmeng Sang, Jingwen Gan, Qian Wang, Minren Huang and Rongling Wu. “Two-stage Identification of SNP Effects on Dynamic Poplar Growth.” The Plant Journal. 93, 286–296, 2018. DOI: 10.1111/tpj.13777.

8.          Runze Li#, Jingyuan Liu*#, Lejia Lou#. “Variable Selection via Partial Correlation.” Statistica Sinica. 27 (3), 983-996, 2017. DOI: 10.5705/ss.202015.0473.

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

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

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

12.       Libo Jiang#, Jingyuan Liu#, Rongling Wu, etc. “2HiGWAS: A Unifying High-Dimensional Platform to Infer the Global Genetic Architecture of Trait Development.” Briefings in Bioinformatics. 16(6), 905-911, 2015. DOI: 10.1093/bib/bbv002.

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

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

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

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

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

18.       Jiahan Li, Kiranmoy Das, Jingyuan Liu, Guifang Fu, Yao Li, Christian Tobias, Rongling Wu. “Statistical Models for Genetic Mapping in Polyploids: Challenges and Opportunities.” Methods in Molecular Biology. 871, 245-261, 2012. DOI: 10.1007/978- 1-61779-785-9 13.

19.       Wei Hou, Yihan Sui, Zhong Wang, Yaqun Wang, Ningtao Wang, Jingyuan Liu, Yao Li, Maureen Goodenow, Li Yin, Zuoheng Wang, Rongling Wu. “Systems mapping of HIV-1 infection.” 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