| Dynamic covariance models Z Chen, C Leng Journal of the American Statistical Association 111 (515), 1196-1207, 2016 | 44 | 2016 |
| Dynamic linear discriminant analysis in high dimensional space B Jiang, Z Chen, C Leng | 22 | 2020 |
| Local linear estimation of covariance matrices via Cholesky decomposition Z Chen, C Leng Statistica Sinica, 1249-1263, 2015 | 22 | 2015 |
| Combining primary cohort data with external aggregate information without assuming comparability Z Chen, J Ning, Y Shen, J Qin Biometrics 77 (3), 1024-1036, 2021 | 19 | 2021 |
| A comparative study of non-deep learning, deep learning, and ensemble learning methods for sunspot number prediction Y Dang, Z Chen, H Li, H Shu Applied Artificial Intelligence 36 (1), 2074129, 2022 | 18 | 2022 |
| New robust variable selection methods for linear regression models Z Chen, ML Tang, W Gao, NZ Shi Scandinavian Journal of Statistics 41 (3), 725-741, 2014 | 18 | 2014 |
| High‐dimensional variable screening under multicollinearity N Zhao, Q Xu, ML Tang, B Jiang, Z Chen, H Wang Stat 9 (1), e272, 2020 | 17 | 2020 |
| New extensions of Hilbert’s inequality with multiple parameters. ZQ Chen, JS Xu Acta Mathematica Hungarica 117 (4), 2007 | 9 | 2007 |
| Adversarial image generation and training for deep neural networks H Shu, R Shi, H Zhu, Z Chen arXiv preprint arXiv:2006.03243, 2020 | 7 | 2020 |
| A profile likelihood approach for longitudinal data analysis Z Chen, ML Tang, W Gao Biometrics 74 (1), 220-228, 2018 | 7 | 2018 |
| Analysis of longitudinal data by combining multiple dynamic covariance models L Xu, ML Tang, Z Chen Statistics and Its Interface 12 (3), 479-487, 2019 | 6 | 2019 |
| Efficient semiparametric estimation via Cholesky decomposition for longitudinal data Z Chen, NZ Shi, W Gao, ML Tang Computational statistics & data analysis 55 (12), 3344-3354, 2011 | 4 | 2011 |
| Nonparametric estimation of the log odds ratio for sparse data by kernel smoothing Z Chen, NZ Shi, W Gao Statistics & probability letters 81 (12), 1802-1807, 2011 | 4 | 2011 |
| MFI-PSO: A flexible and effective method in adversarial image generation for deep neural networks H Shu, R Shi, Q Jia, H Zhu, Z Chen 2022 International Joint Conference on Neural Networks (IJCNN), 01-08, 2022 | 3 | 2022 |
| Monotone nonparametric regression for functional/longitudinal data Z Chen, Q Gao, B Fu, H Zhu Statistica Sinica 29 (4), 2229-2249, 2019 | 3 | 2019 |
| Nearest-neighbor sampling based conditional independence testing S Li, Z Chen, H Zhu, CD Wang, W Wen Proceedings of the AAAI Conference on Artificial Intelligence 37 (7), 8631-8639, 2023 | 1 | 2023 |
| Semiparametric analysis of interval‐censored failure time data with outcome‐dependent observation schemes Y Zhu, Z Chen, JF Lawless Scandinavian Journal of Statistics 49 (1), 236-264, 2022 | 1 | 2022 |
| Efficient semiparametric mean‐association estimation for longitudinal binary responses Z Chen, NZ Shi, W Gao, ML Tang Statistics in Medicine 31 (13), 1323-1341, 2012 | 1 | 2012 |
| K-Nearest-Neighbor Local Sampling Based Conditional Independence Testing S Li, Y Zhang, H Zhu, C Wang, H Shu, Z Chen, Z Sun, Y Yang Advances in Neural Information Processing Systems 36, 2024 | | 2024 |
| Kernel density‐based likelihood ratio tests for linear regression models F Yan, QS Xu, ML Tang, Z Chen Statistics in Medicine 40 (1), 119-132, 2021 | | 2021 |
Chenlei Leng (冷琛雷)Professor of Statistics, University of WarwickVerified email at warwick.ac.uk
