| Least absolute relative error estimation K Chen, S Guo, Y Lin, Z Ying Journal of the American Statistical Association 105 (491), 1104-1112, 2010 | 114 | 2010 |
| Least product relative error estimation K Chen, Y Lin, Z Wang, Z Ying Journal of Multivariate Analysis 144, 91-98, 2016 | 65 | 2016 |
| Category-adaptive variable screening for ultra-high dimensional heterogeneous categorical data J Xie, Y Lin, X Yan, N Tang Journal of the American Statistical Association 115 (530), 747-760, 2020 | 31 | 2020 |
| Efficient estimation of the censored linear regression model Y Lin, K Chen Biometrika 100 (2), 525-530, 2013 | 26 | 2013 |
| Deep nonparametric regression on approximate manifolds: Nonasymptotic error bounds with polynomial prefactors Y Jiao, G Shen, Y Lin, J Huang The Annals of Statistics 51 (2), 691-716, 2023 | 24 | 2023 |
| Deep Nonparametric Regression on Approximately Low-dimensional Manifolds Y Jiao, G Shen, Y Lin, J Huang arXiv preprint arXiv:2104.06708, 2021 | 24 | 2021 |
| Empirical likelihood for least absolute relative error regression Z Li, Y Lin, G Zhou, W Zhou Test 23, 86-99, 2014 | 24 | 2014 |
| Deep Quantile Regression: Mitigating the Curse of Dimensionality Through Composition G Shen, Y Jiao, Y Lin, JL Horowitz, J Huang arXiv preprint arXiv:2107.04907, 2021 | 21 | 2021 |
| Group variable selection for relative error regression X Liu, Y Lin, Z Wang Journal of Statistical Planning and Inference 175, 40-50, 2016 | 13 | 2016 |
| Online Debiased Lasso for Streaming Data R Han, L Luo, Y Lin, J Huang arXiv preprint arXiv:2106.05925, 2021 | 11 | 2021 |
| Robust rank estimation for transformation models with random effects Y Lin, Y Luo, S Xie, K Chen Biometrika 104 (4), 971-986, 2017 | 10 | 2017 |
| Regression Analysis with Response-selective Sampling K Chen, Y Lin, Y Yao, C Zhou Statistica Sinica, 1699-1714, 2017 | 10 | 2017 |
| Robust Nonparametric Regression with Deep Neural Networks G Shen, Y Jiao, Y Lin, J Huang arXiv preprint arXiv:2107.10343, 2021 | 9 | 2021 |
| A relative error-based approach for variable selection M Hao, Y Lin, X Zhao Computational Statistics & Data Analysis 103, 250-262, 2016 | 9 | 2016 |
| A change-point problem in relative error-based regression Z Wang, W Liu, Y Lin Test 24 (4), 835-856, 2015 | 9 | 2015 |
| A General M-estimation Theory in Semi-Supervised Framework S Song, Y Lin, Y Zhou Journal of the American Statistical Association, 1-11, 2023 | 8 | 2023 |
| Statistical Inference in High-dimensional Generalized Linear Models with Streaming Data L Luo, R Han, Y Lin, J Huang arXiv preprint arXiv:2108.04437, 2021 | 8 | 2021 |
| Fused variable screening for massive imbalanced data J Xie, M Hao, W Liu, Y Lin Computational Statistics & Data Analysis 141, 94-108, 2020 | 8 | 2020 |
| Model-free feature screening for high-dimensional survival data Y Lin, X Liu, M Hao Science China Mathematics 61, 1617-1636, 2018 | 8 | 2018 |
| Approximation with CNNs in Sobolev Space: with Applications to Classification G Shen, Y Jiao, Y Lin, J Huang Advances in Neural Information Processing Systems 35, 2876-2888, 2022 | 7 | 2022 |
