| Analysis of long time stability and errors of two partitioned methods for uncoupling evolutionary groundwater--surface water flows W Layton, H Tran, C Trenchea SIAM Journal on Numerical Analysis 51 (1), 248-272, 2013 | 141 | 2013 |
| Polynomial approximation via compressed sensing of high-dimensional functions on lower sets A Chkifa, N Dexter, H Tran, C Webster Mathematics of Computation 87 (311), 1415-1450, 2018 | 99 | 2018 |
| Numerical analysis of two partitioned methods for uncoupling evolutionary MHD flows W Layton, H Tran, C Trenchea Numerical Methods for Partial Differential Equations 30 (4), 1083-1102, 2014 | 70 | 2014 |
| Long time stability of four methods for splitting the evolutionary Stokes–Darcy problem into Stokes and Darcy subproblems W Layton, H Tran, X Xiong Journal of Computational and Applied Mathematics 236 (13), 3198-3217, 2012 | 68 | 2012 |
| Analysis of quasi-optimal polynomial approximations for parameterized PDEs with deterministic and stochastic coefficients H Tran, C Webster, G Zhang Numerische Mathematik 137 (2), 451-493, 2017 | 58* | 2017 |
| Stability of partitioned methods for magnetohydrodynamics flows at small magnetic Reynolds number W Layton, H Tran, C Trenchea Contemp. Math 586, 231-238, 2013 | 37 | 2013 |
| A Crank–Nicolson Leapfrog stabilization: Unconditional stability and two applications N Jiang, M Kubacki, W Layton, M Moraiti, H Tran Journal of Computational and Applied Mathematics 281, 263-276, 2015 | 34 | 2015 |
| Analysis of the ratio of ℓ1 and ℓ2 norms in compressed sensing Y Xu, A Narayan, H Tran, CG Webster Applied and Computational Harmonic Analysis 55, 486-511, 2021 | 25 | 2021 |
| Data-driven high-fidelity 2D microstructure reconstruction via non-local patch-based image inpainting A Tran, H Tran Acta Materialia 178, 207-218, 2019 | 25 | 2019 |
| A class of null space conditions for sparse recovery via nonconvex, non-separable minimizations H Tran, C Webster Results in Applied Mathematics 3, 100011, 2019 | 21* | 2019 |
| Explicitly uncoupled VMS stabilization of fluid flow W Layton, L Röhe, H Tran Computer methods in applied mechanics and engineering 200 (45-46), 3183-3199, 2011 | 21 | 2011 |
| A mixed ℓ1 regularization approach for sparse simultaneous approximation of parameterized PDEs N Dexter, H Tran, C Webster ESAIM: Mathematical Modelling and Numerical Analysis 53 (6), 2025-2045, 2019 | 20 | 2019 |
| Quantifying uncertainty in the process-structure relationship for Al–Cu solidification A Tran, D Liu, H Tran, Y Wang Modelling and Simulation in Materials Science and Engineering 27 (6), 064005, 2019 | 20 | 2019 |
| Enabling long-range exploration in minimization of multimodal functions J Zhang, H Tran, D Lu, G Zhang Uncertainty in Artificial Intelligence (UAI 2021), 2021 | 19* | 2021 |
| Analysis of partitioned methods for Biot system M Bukac, W Layton, M Moraiti, H Tran, C Trenchea Numerical Methods for Partial Differential Equations, 2015 | 19 | 2015 |
| Analysis of a Stabilized CNLF Method with Fast Slow Wave Splittings for Flow Problems N Jiang, H Tran Computational Methods in Applied Mathematics 15 (3), 307--330, 2015 | 16 | 2015 |
| Model Calibration of the Liquid Mercury Spallation Target using Evolutionary Neural Networks and Sparse Polynomial Expansions MI Radaideh, H Tran, L Lin, H Jiang, D Winder, S Gorti, G Zhang, J Mach, ... Nuclear Instruments and Methods in Physics Research Section B 525, 41-54, 2022 | 10 | 2022 |
| AdaDGS: An adaptive black-box optimization method with a nonlocal directional Gaussian smoothing gradient H Tran, G Zhang arXiv preprint arXiv:2011.02009, 2020 | 9 | 2020 |
| Accelerating reinforcement learning with a Directional-Gaussian-Smoothing evolution strategy J Zhang, H Tran, G Zhang Electronic Research Archive 29 (6), 4119-4135, 2021 | 7 | 2021 |
| Reconstruction of jointly sparse vectors via manifold optimization A Petrosyan, H Tran, C Webster Applied Numerical Mathematics 144, 140-150, 2019 | 7 | 2019 |
Clayton WebsterUniversity of Texas at Austin在 utexas.edu 的电子邮件经过验证
