| Kernel-based covariate functional balancing for observational studies RKW Wong, KCG Chan Biometrika 105 (1), 199-213, 2018 | 108 | 2018 |
| A Frequentist Approach to Computer Model Calibration RKW Wong, CB Storlie, TCM Lee Journal of the Royal Statistical Society: Series B (Statistical Methodology …, 2017 | 107 | 2017 |
| Partially linear functional additive models for multivariate functional data RKW Wong, Y Li, Z Zhu Journal of the American Statistical Association 114 (525), 406-418, 2019 | 80 | 2019 |
| Matrix Completion with Noisy Entries and Outliers RKW Wong, TCM Lee Journal of Machine Learning Research 18, 1-25, 2017 | 49 | 2017 |
| Robust estimation for generalized additive models RKW Wong, F Yao, TCM Lee Journal of Computational and Graphical Statistics 23 (1), 270--289, 2014 | 42 | 2014 |
| On the dynamics of gradient descent for autoencoders TV Nguyen, RKW Wong, C Hegde The 22nd International Conference on Artificial Intelligence and Statistics …, 2019 | 37 | 2019 |
| Implicit Sparse Regularization: The Impact of Depth and Early Stopping J Li, T Nguyen, C Hegde, RKW Wong Advances in Neural Information Processing Systems 34, 2021 | 35 | 2021 |
| Matrix completion with covariate information X Mao, SX Chen, RKW Wong Journal of the American Statistical Association 114 (525), 198-210, 2019 | 35 | 2019 |
| An important component to investigating STEM persistence: the development and validation of the science identity (SciID) scale ME Lockhart, OM Kwok, M Yoon, RKW Wong International Journal of STEM Education 9 (1), 1-17, 2022 | 29 | 2022 |
| Locally linear embedding with additive noise J Wang, RKW Wong, TCM Lee Pattern recognition letters 123, 47-52, 2019 | 29 | 2019 |
| Low-rank covariance function estimation for multidimensional functional data J Wang, RKW Wong, X Zhang Journal of the American Statistical Association 117 (538), 809-822, 2022 | 28 | 2022 |
| Benefits of jointly training autoencoders: An improved neural tangent kernel analysis TV Nguyen, RKW Wong, C Hegde IEEE Transactions on Information Theory, 2021 | 28 | 2021 |
| A full Bayesian approach for Boolean genetic network inference S Han, RKW Wong, TCM Lee, L Shen, SYR Li, X Fan PloS one 9 (12), e115806, 2014 | 22 | 2014 |
| Projected state-action balancing weights for offline reinforcement learning J Wang, Z Qi, RKW Wong The Annals of Statistics 51 (4), 1639-1665, 2023 | 19 | 2023 |
| An advanced statistical approach to data-driven earthquake engineering I Song, IH Cho, RKW Wong Journal of Earthquake Engineering 24 (8), 1245-1269, 2020 | 19 | 2020 |
| Virtual assistant for anomaly treatment in long duration exploration missions P Dutta, O Balcells-Quintana, A Viros Martin, R Whittle, PK Josan, ... AIAA Scitech 2020 Forum, 2255, 2020 | 19 | 2020 |
| Fiber Direction Estimation, Smoothing and Tracking in Diffusion MRI RKW Wong, TCM Lee, D Paul, J Peng The Annals of Applied Statistics 10 (3), 1137-1156, 2016 | 19 | 2016 |
| Phenomic data-driven biological prediction of maize through field-based high-throughput phenotyping integration with genomic data A Adak, M Kang, SL Anderson, SC Murray, D Jarquin, RKW Wong, ... Journal of Experimental Botany 74 (17), 5307-5326, 2023 | 15 | 2023 |
| The impact of discharge inversion effect on learning sram power-up statistics Z Liao, GT Amariucai, RKW Wong, Y Guan 2017 Asian Hardware Oriented Security and Trust Symposium (AsianHOST), 31-36, 2017 | 15 | 2017 |
| Broadcasted nonparametric tensor regression Y Zhou, RKW Wong, K He Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2024 | 14 | 2024 |
Chinmay HegdeNew York UniversityVerified email at nyu.edu
