| Efficient computation of smoothing splines via adaptive basis sampling P Ma, JZ Huang, N Zhang Biometrika 102 (3), 631-645, 2015 | 39 | 2015 |
| Uncovering the spatio-temporal dynamics of memes in the presence of incomplete information H Ge, J Caverlee, N Zhang, A Squicciarini Proceedings of the 25th ACM International on Conference on Information and …, 2016 | 33 | 2016 |
| Adaptive basis selection for exponential family smoothing splines with application in joint modeling of multiple sequencing samples P Ma, N Zhang, JZ Huang, W Zhong Statistica Sinica, 1757-1777, 2017 | 10 | 2017 |
| Optimal subsampling for large sample ridge regression Y Chen, N Zhang arXiv preprint arXiv:2204.04776, 2022 | 4 | 2022 |
| Dynamical modeling for non-Gaussian data with high-dimensional sparse ordinary differential equations M Nanshan, N Zhang, X Xun, J Cao Computational Statistics & Data Analysis 173, 107483, 2022 | 2 | 2022 |
| Functional linear quantile regression on a two-dimensional domain N Zhang, P Liu, L Kong, B Jiang, JZ Huang Bernoulli 30 (3), 1800-1824, 2024 | 1 | 2024 |
| A Joint estimation approach to sparse additive ordinary differential equations N Zhang, M Nanshan, J Cao Statistics and Computing 32 (5), 69, 2022 | 1 | 2022 |
| Density regression with conditional support points Y Chen, N Zhang Technometrics 64 (3), 396-408, 2022 | 1 | 2022 |
| Exponential family tensor completion with auxiliary information J Yang, N Zhang Stat 9 (1), e296, 2020 | 1 | 2020 |
| Leverage classifier: Another look at support vector machine Y Han, J Yu, N Zhang, C Meng, P Ma, W Zhong, C Zou arXiv preprint arXiv:2308.12444, 2023 | | 2023 |
| Contextual tensor decomposition by projected alternating least squares N Zhang, Y Liu, J Yang Communications in Statistics-Simulation and Computation, 1-16, 2023 | | 2023 |
| Adaptive basis sampling for smoothing splines N Zhang Texas A&M University, 2015 | | 2015 |
| Supplementary material for “Efficient computation of smoothing splines via adaptive basis sampling” P MA, JZ HUANG, NAN ZHANG | | |
