| Implicit Regularization in Nonconvex Statistical Estimation: Gradient Descent Converges Linearly for Phase Retrieval, Matrix Completion, and Blind Deconvolution C Ma, K Wang, Y Chi, Y Chen Foundations of Computational Mathematics 20 (3), 451–632, 2020 | 385* | 2020 |
| Entrywise Eigenvector Analysis of Random Matrices with Low Expected Rank E Abbe, J Fan, K Wang, Y Zhong The Annals of Statistics 48 (3), 1452, 2020 | 310 | 2020 |
| Distributed Estimation of Principal Eigenspaces J Fan, D Wang, K Wang, Z Zhu The Annals of Statistics 47 (6), 3009, 2019 | 188 | 2019 |
| Spectral Method and Regularized MLE are both Optimal for Top-K Ranking Y Chen, J Fan, C Ma, K Wang The Annals of Statistics 47 (4), 2204, 2019 | 155 | 2019 |
| Communication-Efficient Accurate Statistical Estimation J Fan, Y Guo, K Wang Journal of the American Statistical Association, 1-11, 2021 | 114 | 2021 |
| Factor-Adjusted Regularized Model Selection J Fan, Y Ke, K Wang Journal of Econometrics 216 (1), 71-85, 2020 | 76* | 2020 |
| An Theory of PCA and Spectral Clustering E Abbe, J Fan, K Wang The Annals of Statistics 50 (4), 2359-2385, 2022 | 65 | 2022 |
| Robust High Dimensional Factor Models with Applications to Statistical Machine Learning J Fan, K Wang, Y Zhong, Z Zhu Statistical Science 36 (2), 303, 2021 | 56 | 2021 |
| Adaptive and Robust Multi-Task Learning Y Duan, K Wang The Annals of Statistics 51 (5), 2015-2039, 2023 | 24 | 2023 |
| Learning Gaussian mixtures using the Wasserstein-Fisher-Rao gradient flow Y Yan, K Wang, P Rigollet arXiv preprint arXiv:2301.01766, 2023 | 20 | 2023 |
| Clustering a Mixture of Gaussians with Unknown Covariance D Davis, M Díaz, K Wang arXiv preprint arXiv:2110.01602, 2021 | 20 | 2021 |
| Efficient Clustering for Stretched Mixtures: Landscape and Optimality K Wang, Y Yan, M Díaz Advances in Neural Information Processing Systems 33, 21309-21320, 2020 | 16 | 2020 |
| Pseudo-labeling for Kernel Ridge Regression under Covariate Shift K Wang arXiv preprint arXiv:2302.10160, 2023 | 13 | 2023 |
| Some compact notations for concentration inequalities and user-friendly results K Wang arXiv preprint arXiv:1912.13463, 2019 | 7 | 2019 |
| On the Neumann problem for harmonic functions in the upper half plane K Wang Journal of Mathematical Analysis and Applications 419 (2), 839-848, 2014 | 5 | 2014 |
| Comment on “a tuning-free robust and efficient approach to high-dimensional regression” J Fan, C Ma, K Wang Journal of the American Statistical Association 115 (532), 1720-1725, 2020 | 3 | 2020 |
| A Stability Principle for Learning under Non-Stationarity C Huang, K Wang arXiv preprint arXiv:2310.18304, 2023 | 2 | 2023 |
| 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 |
| Model Assessment and Selection under Temporal Distribution Shift E Han, C Huang, K Wang arXiv preprint arXiv:2402.08672, 2024 | 1 | 2024 |
| Variable Clustering via Distributionally Robust Nodewise Regression K Wang, X Xu, XY Zhou arXiv preprint arXiv:2212.07944, 2022 | 1 | 2022 |
