| Deep multiscale model learning Y Wang, SW Cheung, ET Chung, Y Efendiev, M Wang Journal of Computational Physics 406, 109071, 2020 | 80 | 2020 |
| Nonlocal multicontinua upscaling for multicontinua flow problems in fractured porous media M Vasilyeva, ET Chung, SW Cheung, Y Wang, G Prokopev Journal of Computational and Applied Mathematics 355, 258-267, 2019 | 42 | 2019 |
| Reduced order models for Lagrangian hydrodynamics DM Copeland, SW Cheung, K Huynh, Y Choi Computer Methods in Applied Mechanics and Engineering 388, 114259, 2022 | 30 | 2022 |
| Staggered discontinuous Galerkin methods for the incompressible Navier-Stokes equations SW Cheung, E Chung, HH Kim, Y Qian Journal of Computational Physics 302, 251-266, 2015 | 30 | 2015 |
| Reduced-order deep learning for flow dynamics. The interplay between deep learning and model reduction M Wang, SW Cheung, WT Leung, ET Chung, Y Efendiev, M Wheeler Journal of Computational Physics 401, 108939, 2020 | 28* | 2020 |
| Generalized multiscale multicontinuum model for fractured vuggy carbonate reservoirs M Wang, SW Cheung, ET Chung, M Vasilyeva, Y Wang Journal of Computational and Applied Mathematics 366, 112370, 2020 | 24 | 2020 |
| Deep global model reduction learning in porous media flow simulation SW Cheung, ET Chung, Y Efendiev, E Gildin, Y Wang, J Zhang Computational Geosciences 24, 261-274, 2020 | 23* | 2020 |
| Constraint energy minimizing generalized multiscale finite element method for dual continuum model SW Cheung, ET Chung, Y Efendiev, WT Leung, M Vasilyeva Communications in Mathematical Sciences 18, 663-685, 2020 | 20 | 2020 |
| S-OPT: A Points Selection Algorithm for Hyper-Reduction in Reduced Order Models JT Lauzon, SW Cheung, Y Shin, Y Choi, DM Copeland, K Huynh arXiv preprint arXiv:2203.16494, 2022 | 16 | 2022 |
| Local Lagrangian reduced-order modeling for the Rayleigh-Taylor instability by solution manifold decomposition SW Cheung, Y Choi, DM Copeland, K Huynh Journal of Computational Physics 472, 111655, 2023 | 14 | 2023 |
| Prediction of discretization of GMsFEM using deep learning M Wang, SW Cheung, ET Chung, Y Efendiev, WT Leung, Y Wang Mathematics 7 (5), 412, 2019 | 14* | 2019 |
| Multiscale simulations for upscaled multi-continuum flows JSR Park, SW Cheung, T Mai, VH Hoang Journal of Computational and Applied Mathematics 374, 112782, 2020 | 13 | 2020 |
| Multiscale simulations for multi-continuum Richards equations JSR Park, SW Cheung, T Mai Journal of Computational and Applied Mathematics 397, 113648, 2021 | 11 | 2021 |
| Constraint energy minimizing generalized multiscale discontinuous Galerkin method SW Cheung, ET Chung, WT Leung Journal of Computational and Applied Mathematics 380, 112960, 2020 | 9 | 2020 |
| Deep model reduction-model learning for reservoir simulation J Zhang, SW Cheung, Y Efendiev, E Gildin, ET Chung SPE Reservoir Simulation Conference, 2019 | 9 | 2019 |
| Explicit and energy-conserving constraint energy minimizing generalized multiscale discontinuous galerkin method for wave propagation in heterogeneous media SW Cheung, ET Chung, Y Efendiev, WT Leung Multiscale Modeling & Simulation 19 (4), 1736-1759, 2021 | 8 | 2021 |
| A mass conservative scheme for fluid–structure interaction problems by the staggered discontinuous galerkin method SW Cheung, E Chung, HH Kim Journal of Scientific Computing 74 (3), 1423-1456, 2018 | 6* | 2018 |
| Bayesian multiscale finite element methods. modeling missing subgrid information probabilistically Y Efendiev, WT Leung, SW Cheung, N Guha, VH Hoang, B Mallick International Journal for Multiscale Computational Engineering 15 (2), 2017 | 6 | 2017 |
| Dynamic data-driven Bayesian GMsFEM SW Cheung, N Guha Journal of Computational and Applied Mathematics 353, 72-85, 2019 | 4 | 2019 |
| Constraint energy minimizing generalized multiscale finite element method for multi-continuum Richards equations T Mai, SW Cheung, JSR Park Journal of Computational Physics 477, 111915, 2023 | 3 | 2023 |
Eric ChungThe Chinese University of Hong KongПодтвержден адрес электронной почты в домене math.cuhk.edu.hk
