Junyang Qian
Junyang Qian
Verified email at stanford.edu
Title
Cited by
Cited by
Year
Glmnet for matlab
J Qian, T Hastie, J Friedman, R Tibshirani, N Simon
Accessed: Nov 13 (2017), 4.2-4.2, 2013
139*2013
Glmnet vignette
T Hastie, J Qian
Retrieve from http://www. web. stanford. edu/~ hastie/Papers/Glmnet_Vignette …, 2014
1212014
Some methods for heterogeneous treatment effect estimation in high dimensions
S Powers, J Qian, K Jung, A Schuler, NH Shah, T Hastie, R Tibshirani
Statistics in medicine 37 (11), 1767-1787, 2018
842018
On stepwise pattern recovery of the fused Lasso
J Qian, J Jia
Computational Statistics & Data Analysis 94, 221-237, 2016
34*2016
Genetics of 38 blood and urine biomarkers in the UK Biobank
N Sinnott-Armstrong, Y Tanigawa, D Amar, NJ Mars, M Aguirre, ...
BioRxiv, 660506, 2019
202019
A fast and scalable framework for large-scale and ultrahigh-dimensional sparse regression with application to the UK Biobank
J Qian, Y Tanigawa, W Du, M Aguirre, C Chang, R Tibshirani, MA Rivas, ...
PLoS genetics 16 (10), e1009141, 2020
12*2020
Proteomic analysis of monolayer-integrated proteins on lipid droplets identifies amphipathic interfacial α-helical membrane anchors
CI Pataki, J Rodrigues, L Zhang, J Qian, B Efron, T Hastie, JE Elias, ...
Proceedings of the National Academy of Sciences 115 (35), E8172-E8180, 2018
112018
Communication-efficient false discovery rate control via knockoff aggregation
W Su, J Qian, L Liu
arXiv preprint arXiv:1506.05446, 2015
42015
Fast Lasso method for Large-scale and Ultrahigh-dimensional Cox Model with applications to UK Biobank
R Li, C Chang, JM Justesen, Y Tanigawa, J Qian, T Hastie, MA Rivas, ...
BioRxiv, 2020
32020
Method and apparatus for inhibiting the interruption of content being consumed by a user
M Joye, A Ashkan, J Chandrashekar, T Alvita, A Pushparaja, ...
US Patent 10,616,653, 2020
12020
Large-Scale Sparse Regression for Multiple Responses with Applications to UK Biobank
J Qian, Y Tanigawa, R Li, R Tibshirani, MA Rivas, T Hastie
bioRxiv, 2020
12020
Information-Directed Sampling for Reinforcement Learning
J Qian, J Zhang
2017
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Articles 1–12