Yuan Huang, PhD
Assistant Professor of Biostatistics (Biostatistics)
Research & Publications
Biography
News
Locations
Selected Publications
- Deep Dimension Reduction for Supervised Representation LearningHuang J, Jiao Y, Liao X, Liu J, Yu Z. Deep Dimension Reduction for Supervised Representation Learning. IEEE Transactions On Information Theory 2024, 70: 3583-3598. DOI: 10.1109/tit.2023.3340658.
- Online inference with debiased stochastic gradient descentHan R, Luo L, Lin Y, Huang J. Online inference with debiased stochastic gradient descent. Biometrika 2023, 111: 93-108. DOI: 10.1093/biomet/asad046.
- Online inference in high-dimensional generalized linear models with streaming dataLuo L, Han R, Lin Y, Huang J. Online inference in high-dimensional generalized linear models with streaming data. Electronic Journal Of Statistics 2023, 17 DOI: 10.1214/23-ejs2182.
- HETEROGENEITY ANALYSIS VIA INTEGRATING MULTI-SOURCES HIGH-DIMENSIONAL DATA WITH APPLICATIONS TO CANCER STUDIES.Zhong T, Zhang Q, Huang J, Wu M, Ma S. HETEROGENEITY ANALYSIS VIA INTEGRATING MULTI-SOURCES HIGH-DIMENSIONAL DATA WITH APPLICATIONS TO CANCER STUDIES. Statistica Sinica 2023, 33: 729-758. PMID: 38037567, PMCID: PMC10686523, DOI: 10.5705/ss.202021.0002.
- Regularized projection score estimation of treatment effects in high-dimensional quantile regressionCheng C, Feng X, Huang J, Liu X. Regularized projection score estimation of treatment effects in high-dimensional quantile regression. Statistica Sinica 2021 DOI: 10.5705/ss.202019.0247.
- A group adaptive elastic-net approach for variable selection in high-dimensional linear regressionHu J, Huang J, Qiu F. A group adaptive elastic-net approach for variable selection in high-dimensional linear regression. Science China Mathematics 2017, 61: 173-188. DOI: 10.1007/s11425-016-0071-x.
- Asymptotic properties of Lasso in high-dimensional partially linear modelsMa C, Huang J. Asymptotic properties of Lasso in high-dimensional partially linear models. Science China Mathematics 2015, 59: 769-788. DOI: 10.1007/s11425-015-5093-2.