| Hierarchical low rank approximation of likelihoods for large spatial datasets H Huang, Y Sun Journal of Computational and Graphical Statistics 27 (1), 110-118, 2018 | 33 | 2018 |
| Ensemble data assimilation in the Red Sea: Sensitivity to ensemble selection and atmospheric forcing H Toye, P Zhan, G Gopalakrishnan, AR Kartadikaria, H Huang, O Knio, ... Ocean Dynamics 67, 915-933, 2017 | 33 | 2017 |
| A decomposition of total variation depth for understanding functional outliers H Huang, Y Sun Technometrics, 2019 | 22 | 2019 |
| Forecasting high-frequency spatio-temporal wind power with dimensionally reduced echo state networks H Huang, S Castruccio, MG Genton Journal of the Royal Statistical Society Series C: Applied Statistics 71 (2 …, 2022 | 20 | 2022 |
| Competition on spatial statistics for large datasets H Huang, S Abdulah, Y Sun, H Ltaief, DE Keyes, MG Genton Journal of Agricultural, Biological and Environmental Statistics 26, 580-595, 2021 | 18 | 2021 |
| Visualization and assessment of spatio-temporal covariance properties H Huang, Y Sun Spatial Statistics 34, 100272, 2019 | 17 | 2019 |
| High performance multivariate geospatial statistics on manycore systems MLO Salvana, S Abdulah, H Huang, H Ltaief, Y Sun, MG Genton, ... IEEE Transactions on Parallel and Distributed Systems 32 (11), 2719-2733, 2021 | 13 | 2021 |
| Total variation depth for functional data H Huang, Y Sun arXiv preprint arXiv:1611.04913, 2016 | 8 | 2016 |
| Pushing the Limit: A Hybrid Parallel Implementation of the Multi-resolution Approximation for Massive Data DMH Huang Huang, Lewis R. Blake NCAR TECHNICAL NOTES, 2019 | 7* | 2019 |
| Pushing the limit: a hybrid parallel implementation of the multi-resolution approximation for massive data H Huang, LR Blake, DM Hammerling arXiv preprint arXiv:1905.00141, 2019 | 7 | 2019 |
| Nonstationary spatial modeling of massive global satellite data H Huang, LR Blake, M Katzfuss, DM Hammerling arXiv preprint arXiv:2111.13428, 2021 | 4 | 2021 |
| A Shallow-Tree Multi-resolution Approximation for Distributed and High-Performance Computing Systems DMH Lewis R. Blake, Huang Huang, Brian Vanderwende NCAR TECHNICAL NOTES, 2019 | 3* | 2019 |
| Test and visualization of covariance properties for multivariate spatio-temporal random fields H Huang, Y Sun, MG Genton Journal of Computational and Graphical Statistics 32 (4), 1545-1555, 2023 | 2 | 2023 |
| Saving storage in climate ensembles: a model-based stochastic approach H Huang, S Castruccio, AH Baker, MG Genton Journal of Agricultural, Biological and Environmental Statistics 28 (2), 324-344, 2023 | 2 | 2023 |
| Data for" Competition on Spatial Statistics for Large Datasets" H Huang, S Abdulah, Y Sun, H Ltaief, DE Keyes, MG Genton KAUST Research Repository, 2021 | 1 | 2021 |
| Visualization of covariance structures for multivariate spatio-temporal random fields H Huang, Y Sun, MG Genton arXiv preprint arXiv:2008.03689, 2020 | 1 | 2020 |
| High performance multivariate spatial modeling for geostatistical data on manycore systems MLO Salvaña, S Abdulah, H Huang, H Ltaief, Y Sun, MG Genton, ... arXiv, 2020 | 1 | 2020 |
| Combining interdependent climate model outputs in CMIP5: A spatial Bayesian approach H Huang, D Hammerling, B Li, R Smith arXiv preprint arXiv:2001.00074, 2019 | 1 | 2019 |
| Rejoinder on ‘Saving Storage in Climate Ensembles: A Model-Based Stochastic Approach’ H Huang, S Castruccio, AH Baker, MG Genton Journal of Agricultural, Biological and Environmental Statistics 28 (2), 370-374, 2023 | | 2023 |
| hhuang90/stochastic_emulator H Huang, S Castruccio, AH Baker, MG Genton Github, 2022 | | 2022 |
Ying SunAssociate Professor of Statistics, King Abdullah University of Science and Technology (KAUST)Verified email at kaust.edu.sa
