| Out-of-distribution generalization with causal invariant transformations R Wang, M Yi, Z Chen, S Zhu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 51 | 2022 |
| Breaking correlation shift via conditional invariant regularizer M Yi, R Wang, J Sun, Z Li, ZM Ma The Eleventh International Conference on Learning Representations, 2023 | 8* | 2023 |
| Invited commentary: estimation and bounds under data fusion W Miao, W Li, W Hu, R Wang, Z Geng American Journal of Epidemiology 191 (4), 674-678, 2022 | 5 | 2022 |
| A robust fusion-extraction procedure with summary statistics in the presence of biased sources R Wang, Q Wang, W Miao Biometrika 110 (4), 1023–1040, 2023 | 3 | 2023 |
| Characterization of excess risk for locally strongly convex population risk M Yi, R Wang, ZM Ma Advances in Neural Information Processing Systems 35, 21270-21285, 2022 | 3* | 2022 |
| Paradoxes and resolutions for semiparametric fusion of individual and summary data W Hu, R Wang, W Li, W Miao arXiv preprint arXiv:2210.00200, 2022 | 3 | 2022 |
| Determination and estimation of optimal quarantine duration for infectious diseases with application to data analysis of COVID-19 R Wang, Q Wang Biometrics 78 (2), 691-700, 2022 | 3 | 2022 |
| A beyond multiple robust approach for missing response problem Q Wang, M Su, R Wang Computational Statistics & Data Analysis 155, 107111, 2021 | 3 | 2021 |
| A two-stage optimal subsampling estimation for missing data problems with large-scale data M Su, R Wang, Q Wang Computational Statistics & Data Analysis 173, 107505, 2022 | 2 | 2022 |
| Sharp bounds for variance of treatment effect estimators in the finite population in the presence of covariates R Wang, Q Wang, W Miao, X Zhou Statistica Sinica 34, 999-1021, 2024 | | 2024 |
| A maximin optimal approach for model-free sampling designs in two-phase studies R Wang, Q Wang, W Miao arXiv preprint arXiv:2312.10596, 2023 | | 2023 |
| Moment-assisted subsampling based maximum likelihood estimator M Su, Q Wang, R Wang arXiv preprint arXiv:2309.09872, 2023 | | 2023 |
| Distributed nonparametric regression imputation for missing response problems with large-scale data R Wang, M Su, Q Wang Journal of Machine Learning Research 24 (68), 1-52, 2023 | | 2023 |
