| Distributed testing and estimation under sparse high dimensional models H Battey, J Fan, H Liu, J Lu, Z Zhu Annals of statistics 46 (3), 1352, 2018 | 290* | 2018 |
| Distributed estimation of principal eigenspaces J Fan, D Wang, K Wang, Z Zhu Annals of statistics 47 (6), 3009, 2019 | 185 | 2019 |
| A shrinkage principle for heavy-tailed data: High-dimensional robust low-rank matrix recovery J Fan, W Wang, Z Zhu Annals of statistics 49 (3), 1239, 2021 | 111 | 2021 |
| Principal component analysis for big data J Fan, Q Sun, WX Zhou, Z Zhu arXiv preprint arXiv:1801.01602, 2018 | 73 | 2018 |
| Generalized high-dimensional trace regression via nuclear norm regularization J Fan, W Gong, Z Zhu Journal of econometrics 212 (1), 177-202, 2019 | 69 | 2019 |
| High-dimensional principal component analysis with heterogeneous missingness Z Zhu, T Wang, RJ Samworth Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2022 | 56 | 2022 |
| Robust high dimensional factor models with applications to statistical machine learning J Fan, K Wang, Y Zhong, Z Zhu Statistical science: a review journal of the Institute of Mathematical …, 2021 | 52 | 2021 |
| Learning Markov models via low-rank optimization Z Zhu, X Li, M Wang, A Zhang Operations Research 70 (4), 2384-2398, 2022 | 29 | 2022 |
| Taming heavy-tailed features by shrinkage Z Zhu, W Zhou International Conference on Artificial Intelligence and Statistics, 3268-3276, 2021 | 23 | 2021 |
| Best subset selection is robust against design dependence Y Guo, Z Zhu, J Fan arXiv preprint arXiv:2007.01478, 2020 | 16* | 2020 |
| Heterogeneity adjustment with applications to graphical model inference J Fan, H Liu, W Wang, Z Zhu Electronic journal of statistics 12 (2), 3908, 2018 | 13 | 2018 |
| On the early solution path of best subset selection Z Zhu, S Wu arXiv preprint arXiv:2107.06939, 2021 | 3 | 2021 |
| Supervised homogeneity fusion: a combinatorial approach W Wang, S Wu, Z Zhu, L Zhou, PXK Song The Annals of Statistics 52 (1), 285-310, 2024 | 2 | 2024 |
| Volatility prediction comparison via robust volatility proxies: An empirical deviation perspective W Wang, R An, Z Zhu Journal of Econometrics, 105633, 2024 | 2 | 2024 |
| High-dimensional variable selection with heterogeneous signals: A precise asymptotic perspective S Roy, A Tewari, Z Zhu arXiv preprint arXiv:2201.01508, 2022 | 2 | 2022 |
| Rank-Constrained Least-Squares: Prediction and Inference M Law, Y Ritov, R Zhang, Z Zhu arXiv preprint arXiv:2111.14287, 2021 | 2 | 2021 |
| High-dimensional inference via hybrid orthogonalization Y Li, Z Zheng, J Zhou, Z Zhu arXiv preprint arXiv:2111.13391, 2021 | 2 | 2021 |
| Modern data modeling: Cross-fertilization of the two cultures J Fan, C Ma, K Wang, Z Zhu Observational Studies 7 (1), 65-76, 2021 | 2 | 2021 |
| Understanding Best Subset Selection: A Tale of Two C (omplex) ities S Roy, A Tewari, Z Zhu arXiv preprint arXiv:2301.06259, 2023 | | 2023 |
| ReBoot: Distributed statistical learning via refitting Bootstrap samples Y Wang, Z Zhu arXiv preprint arXiv:2207.09098, 2022 | | 2022 |
Jianqing FanProfessor of Statistics, Professor of Finance, Princeton University在 princeton.edu 的电子邮件经过验证
