| Does -minimization outperform -minimization? L Zheng, A Maleki, H Weng, X Wang, T Long IEEE Transactions on Information Theory 63 (11), 6896-6935, 2017 | 115 | 2017 |
| Which bridge estimator is the best for variable selection? S Wang, H Weng, A Maleki Annals of Statistics 48, 2791-2823, 2020 | 59* | 2020 |
| Community detection with nodal information: likelihood and its variational approximation H Weng, Y Feng Stat 11 (1), e428, 2022 | 48* | 2022 |
| Overcoming the limitations of phase transition by higher order analysis of regularization techniques H Weng, A Maleki, L Zheng Annals of Statistics 46 (6A), 3099-3129, 2018 | 37 | 2018 |
| Does SLOPE outperform bridge regression? S Wang, H Weng, A Maleki Information and Inference: A Journal of the IMA 11 (1), 1-54, 2022 | 27 | 2022 |
| Spectral clustering via adaptive layer aggregation for multi-layer networks S Huang, H Weng, Y Feng Journal of Computational and Graphical Statistics 32 (3), 1170-1184, 2023 | 25 | 2023 |
| Regularization after retention in ultrahigh dimensional linear regression models H Weng, Y Feng, X Qiao Statistica Sinica 29, 387-407, 2019 | 19* | 2019 |
| Unsupervised Multi-task and Transfer Learning on Gaussian Mixture Models Y Tian, H Weng, Y Feng arXiv:2209.15224, 2022 | 13 | 2022 |
| Matrix completion with nonconvex regularization: spectral operators and scalable algorithms R Mazumder, DF Saldana, H Weng Statistics and Computing 30, 1113--1138, 2020 | 12 | 2020 |
| Optimal estimation of functionals of high-dimensional mean and covariance matrix J Fan, H Weng, Y Zhou arXiv preprint arXiv:1908.07460, 2019 | 9 | 2019 |
| Signal-to-noise ratio aware minimaxity and higher-order asymptotics Y Guo, H Weng, A Maleki IEEE Transactions on Information Theory, 2023 | 6 | 2023 |
| Towards the Theory of Unsupervised Federated Learning: Non-asymptotic Analysis of Federated EM Algorithms Y Tian, H Weng, Y Feng International Conference on Machine Learning, 2024 | 5* | 2024 |
| Computing the degrees of freedom of rank-regularized estimators and cousins R Mazumder, H Weng Electronic Journal of Statistics 14 (1), 1348-1385, 2020 | 4 | 2020 |
| Phase transition and noise sensitivity of ℓp-minimization for 0 ≤ p ≤ 1 H Weng, L Zheng, A Maleki, X Wang 2016 IEEE International Symposium on Information Theory (ISIT), 675-679, 2016 | 4 | 2016 |
| Low noise sensitivity analysis of -minimization in oversampled systems H Weng, A Maleki Information and Inference: A Journal of the IMA 9 (1), 113–155, 2020 | 3 | 2020 |
| Variable selection in latent variable models via knockoffs: an application to international large-scale assessment in education Z Xie, Y Chen, M von Davier, H Weng Journal of the Royal Statistical Society Series A: Statistics in Society 187 …, 2024 | 1* | 2024 |
| Discussion of “Cocitation and Coauthorship Networks of Statisticians” H Weng, Y Feng Journal of Business & Economic Statistics 40 (2), 2022 | 1 | 2022 |
| Supplement to “Overcoming the limitations of phase transition by higher order analysis of regularization techniques.” H Weng, A Maleki, L Zheng DOI, 2018 | 1 | 2018 |
| Optimal Rates for Multiple Models in Matrix Completion D Liu, H Weng arXiv preprint arXiv:2411.13199, 2024 | | 2024 |
| High-dimensional partial linear model with trend filtering SK Lee, HG Hong, H Weng, E Loftfield arXiv preprint arXiv:2410.20319, 2024 | | 2024 |
Arian MalekiColumbia UniversityVerified email at stat.columbia.edu
