| Improving out-of-distribution robustness via selective augmentation H Yao, Y Wang, S Li, L Zhang, W Liang, J Zou, C Finn International Conference on Machine Learning, 25407-25437, 2022 | 162 | 2022 |
| Transfer learning for high-dimensional linear regression: Prediction, estimation and minimax optimality S Li, TT Cai, H Li Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2022 | 123 | 2022 |
| Transfer learning in large-scale gaussian graphical models with false discovery rate control S Li, TT Cai, H Li Journal of the American Statistical Association 118 (543), 2171-2183, 2023 | 45 | 2023 |
| Targeting underrepresented populations in precision medicine: A federated transfer learning approach S Li, T Cai, R Duan The Annals of Applied Statistics 17 (4), 2970-2992, 2023 | 34 | 2023 |
| Estimation and inference for high-dimensional generalized linear models with knowledge transfer S Li, L Zhang, TT Cai, H Li Journal of the American Statistical Association, 1-12, 2023 | 32 | 2023 |
| Inference for high-dimensional linear mixed-effects models: A quasi-likelihood approach S Li, TT Cai, H Li Journal of the American Statistical Association 117 (540), 1835-1846, 2022 | 23 | 2022 |
| Debiasing the debiased lasso with bootstrap S Li | 13 | 2020 |
| Mendelian randomization when many instruments are invalid: hierarchical empirical Bayes estimation S Li arXiv preprint arXiv:1706.01389, 2017 | 12 | 2017 |
| Causal inference for nonlinear outcome models with possibly invalid instrumental variables S Li, Z Guo arXiv preprint arXiv:2010.09922, 2020 | 8 | 2020 |
| Transferred Q-learning EY Chen, MI Jordan, S Li arXiv preprint arXiv:2202.04709, 2022 | 7 | 2022 |
| Estimation and inference with proxy data and its genetic applications S Li, TT Cai, H Li arXiv preprint arXiv:2201.03727, 2022 | 7 | 2022 |
| A Focusing Framework for Testing Bi-Directional Causal Effects with GWAS Summary Data S Li, T Ye arXiv preprint arXiv:2203.06887, 2022 | 3 | 2022 |
| A Regression-based Approach to Robust Estimation and Inference for Genetic Covariance J Wang, S Li, H Li Journal of the American Statistical Association, 1-13, 2023 | 2 | 2023 |
| Multi-dimensional domain generalization with low-rank structures S Li, L Zhang arXiv preprint arXiv:2309.09555, 2023 | 1 | 2023 |
| Comments on “A Scale-Free Approach for False Discovery Rate Control in Generalized Linear Models” S Li, Y Yao, CH Zhang Journal of the American Statistical Association 118 (543), 1586-1589, 2023 | 1 | 2023 |
| FAIRM: Learning invariant representations for algorithmic fairness and domain generalization with minimax optimality S Li, L Zhang arXiv preprint arXiv:2404.01608, 2024 | | 2024 |
| Leveraging Local Distributions in Mendelian Randomization: Uncertain Opinions are Invalid Z Xu, S Li arXiv preprint arXiv:2402.02329, 2024 | | 2024 |
| Constructing confidence intervals in high-dimensional models and dealing with pleiotropy in mendelian randomization S Li Rutgers University-School of Graduate Studies, 2018 | | 2018 |
| An Adaptive Resampling Test for Detecting the Presence of Significant Predictors Comment S Li, R Mitra, CH Zhang JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION 110 (512), 1455-1456, 2015 | | 2015 |
| STATISTICAL INFERENCE FOR HIGH DIMENSIONAL REGRESSION WITH PROXY DATA S Li, TT Cai, H Li | | |
