| Entrywise eigenvector analysis of random matrices with low expected rank E Abbe, J Fan, K Wang, Y Zhong Annals of statistics 48 (3), 1452, 2020 | 330 | 2020 |
| A selective overview of deep learning J Fan, C Ma, Y Zhong Statistical science: a review journal of the Institute of Mathematical …, 2020 | 221 | 2020 |
| An Eigenvector Perturbation Bound and Its Application J Fan, W Wang, Y Zhong Journal of Machine Learning Research 18 (207), 1-42, 2018 | 179 | 2018 |
| Near-optimal bounds for phase synchronization Y Zhong, N Boumal SIAM Journal on Optimization 28 (2), 989-1016, 2018 | 159 | 2018 |
| The interpolation phase transition in neural networks: Memorization and generalization under lazy training A Montanari, Y Zhong The Annals of Statistics 50 (5), 2816-2847, 2022 | 104 | 2022 |
| Robust covariance estimation for approximate factor models J Fan, W Wang, Y Zhong Journal of econometrics 208 (1), 5-22, 2019 | 77 | 2019 |
| 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 | 63 | 2021 |
| An [... formula...] Eigenvector Perturbation Bound and Its Application to Robust Covariance Estimation J Fan, W Wang, Y Zhong Journal of machine learning research: JMLR 18, 2018 | 25 | 2018 |
| Tractability from overparametrization: The example of the negative perceptron A Montanari, Y Zhong, K Zhou Probability Theory and Related Fields 188 (3), 805-910, 2024 | 24 | 2024 |
| Differentially private data releasing for smooth queries Z Wang, C Jin, K Fan, J Zhang, J Huang, Y Zhong, L Wang Journal of Machine Learning Research 17 (51), 1-42, 2016 | 21 | 2016 |
| Eigenvector Under Random Perturbation: A Nonasymptotic Rayleigh-Schr\"{o} dinger Theory Y Zhong arXiv preprint arXiv:1702.00139, 2017 | 15 | 2017 |
| Optimal subspace estimation using overidentifying vectors via generalized method of moments J Fan, Y Zhong arXiv preprint arXiv:1805.02826, 2018 | 8 | 2018 |
| Unraveling Projection Heads in Contrastive Learning: Insights from Expansion and Shrinkage Y Gui, C Ma, Y Zhong arXiv preprint arXiv:2306.03335, 2023 | 2 | 2023 |
| Supplement to “Entrywise eigenvector analysis of random matrices with low expected rank.” E Abbe, J Fan, K Wang, Y Zhong Submitted to the Annals of Statistics, 2018 | 1 | 2018 |
| Differentially Private Data Releasing for Smooth Queries with Synthetic Database Output C Jin, Z Wang, J Huang, Y Zhong, L Wang arXiv preprint arXiv:1401.0987, 2014 | 1 | 2014 |
| A Unified Primal Dual Active Set Algorithm for Nonconvex Sparse Recovery.................... Jian Huang, Yuling Jiao, Bangti Jin, Jin Liu, Xiliang Lu and Can Yang 215 The Box … J Fan, K Wang, Y Zhong, Z Zhu, C Nachtsheim, D Pena, C Setodji, ... Statistical Science [ISSN 0883-4237 (print); ISSN 2168-8745 (online)] 36 (2), 2021 | | 2021 |
| Spectral Methods and MLE: A Modern Statistical Perspective Y Zhong Princeton University, 2019 | | 2019 |
| Efficient and Differentially Private Data Releasing for Smooth Queries Z Wang, C Jin, K Fan, J Zhang, J Huang, Y Zhong, L Wang | | |
Jianqing FanProfessor of Statistics, Professor of Finance, Princeton UniversityVerified email at princeton.edu
