Jingyuan Liu
Jingyuan Liu
Xiamen University
Keine bestätigte E-Mail-Adresse
Zitiert von
Zitiert von
Feature selection for varying coefficient models with ultrahigh-dimensional covariates
J Liu, R Li, R Wu
Journal of the American Statistical Association 109 (505), 266-274, 2014
A selective overview of feature screening for ultrahigh-dimensional data
JY Liu, W Zhong, RZ Li
Science China Mathematics 58, 1-22, 2015
Deep fashion analysis with feature map upsampling and landmark-driven attention
J Liu, H Lu
Proceedings of the European Conference on Computer Vision (ECCV) Workshops, 0-0, 2018
Model-free feature screening and FDR control with knockoff features
W Liu, Y Ke, J Liu, R Li
Journal of the American Statistical Association 117 (537), 428-443, 2022
Structural analysis and whole genome mapping of a new type of plant virus subviral RNA: umbravirus-like associated RNAs
J Liu, E Carino, S Bera, F Gao, JP May, AE Simon
Viruses 13 (4), 646, 2021
Turbine meter for the measurement of bulk solids flowrate
J Liu, B Huan
Powder technology 82 (2), 145-151, 1995
Variable selection via partial correlation
R Li, J Liu, L Lou
Statistica Sinica 27 (3), 983, 2017
2HiGWAS: a unifying high-dimensional platform to infer the global genetic architecture of trait development
L Jiang, J Liu, X Zhu, M Ye, L Sun, X Lacaze, R Wu
Briefings in bioinformatics 16 (6), 905-911, 2015
Variable selection for partially linear models via partial correlation
J Liu, L Lou, R Li
Journal of multivariate analysis 167, 418-434, 2018
Two‐stage identification of SNP effects on dynamic poplar growth
J Liu, M Ye, S Zhu, L Jiang, M Sang, J Gan, Q Wang, M Huang, R Wu
The Plant Journal 93 (2), 286-296, 2018
Test for conditional independence with application to conditional screening
Y Zhou, J Liu, L Zhu
Journal of Multivariate Analysis 175, 104557, 2020
Feature selection for generalized varying coefficient mixed-effect models with application to obesity GWAS
W Chu, R Li, J Liu, M Reimherr
The annals of applied statistics 14 (1), 276, 2020
Statistical inference for linear mediation models with high-dimensional mediators and application to studying stock reaction to COVID-19 pandemic
X Guo, R Li, J Liu, M Zeng
Journal of Econometrics 235 (1), 166-179, 2023
High-dimensional mediation analysis for selecting DNA methylation loci mediating childhood trauma and cortisol stress reactivity
X Guo, R Li, J Liu, M Zeng
Journal of the American Statistical Association 117 (539), 1110-1121, 2022
Statistical models for genetic mapping in polyploids: Challenges and opportunities
J Li, K Das, J Liu, G Fu, Y Li, C Tobias, R Wu
Quantitative trait loci (QTL) methods and protocols, 245-261, 2012
A pathogen secreted protein as a detection marker for citrus huanglongbing. Front. Microbiol. 8: 2041
D Pagliaccia, J Shi, Z Pang, E Hawara, K Clark, SP Thapa, ...
Model and algorithm for linkage disequilibrium analysis in a non-equilibrium population
J Liu, Z Wang, Y Wang, R Li, R Wu
Frontiers in Genetics 3, 78, 2012
Dynamic modeling of genes controlling cancer stem cell proliferation
Z Wang, J Liu, J Wang, Y Wang, N Wang, Y Li, R Li, R Wu
Frontiers in genetics 3, 84, 2012
Feature screening and variable selection for partially linear models with ultrahigh-dimensional longitudinal data
J Liu
Neurocomputing 195, 202-210, 2016
Identification of Novel 5′ and 3′ translation enhancers in umbravirus-like coat protein-deficient RNA replicons
J Liu, AE Simon
Journal of Virology 96 (7), e01736-21, 2022
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