| Non-local multi-continua upscaling for flows in heterogeneous fractured media ET Chung, Y Efendiev, WT Leung, M Vasilyeva, Y Wang Journal of Computational Physics 372, 22-34, 2018 | 134 | 2018 |
| Deep multiscale model learning Y Wang, SW Cheung, ET Chung, Y Efendiev, M Wang Journal of Computational Physics 406, 109071, 2020 | 111 | 2020 |
| Efficient deep learning techniques for multiphase flow simulation in heterogeneous porousc media Y Wang, G Lin Journal of Computational Physics 401, 108968, 2020 | 73 | 2020 |
| Online adaptive local multiscale model reduction for heterogeneous problems in perforated domains ET Chung, Y Efendiev, WT Leung, M Vasilyeva, Y Wang Applicable Analysis 96 (12), 2002-2031, 2017 | 64 | 2017 |
| 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 | 53 | 2019 |
| Multiscale model reduction for transport and flow problems in perforated domains ET Chung, WT Leung, M Vasilyeva, Y Wang Journal of Computational and Applied Mathematics 330, 519-535, 2018 | 46 | 2018 |
| A conservative local multiscale model reduction technique for Stokes flows in heterogeneous perforated domains ET Chung, M Vasilyeva, Y Wang Journal of Computational and Applied Mathematics 321, 389-405, 2017 | 45 | 2017 |
| Multiscale mass transfer coupling of triple-continuum and discrete fractures for flow simulation in fractured vuggy porous media N Zhang, Y Wang, Q Sun, Y Wang International Journal of Heat and Mass Transfer 116, 484-495, 2018 | 40 | 2018 |
| 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 (1), 261-274, 2020 | 35* | 2020 |
| A multiscale discontinuous Galerkin method in perforated domains ET Chung, Y Efendiev, M Vasilyeva, Y Wang Proceedings of the Institute of Mathematics and Mechanics 42 (2), 212-229, 2016 | 22 | 2016 |
| 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 | 19* | 2019 |
| Upscaling method for problems in perforated domains with non-homogeneous boundary conditions on perforations using Non-Local Multi-Continuum method (NLMC) M Vasilyeva, ET Chung, WT Leung, Y Wang, D Spiridonov Journal of Computational and Applied Mathematics 357, 215-227, 2019 | 15 | 2019 |
| Bayesian sparse learning with preconditioned stochastic gradient MCMC and its applications Y Wang, W Deng, G Lin Journal of Computational Physics 432, 110134, 2021 | 14 | 2021 |
| Multi-variance replica exchange stochastic gradient MCMC for inverse and forward Bayesian physics-informed neural network G Lin, Y Wang, Z Zhang arXiv preprint arXiv:2107.06330, 2021 | 13 | 2021 |
| On the feasibility of an ensemble multi-fidelity neural network for fast data assimilation for subsurface flow in porous media Y Wang, B Yan Expert Systems with Applications 264, 125774, 2025 | 12 | 2025 |
| Mfpc-net: Multi-fidelity physics-constrained neural process Y Wang, G Lin arXiv preprint arXiv:2010.01378, 2020 | 12 | 2020 |
| Asymptotic-preserving neural networks for the semiconductor Boltzmann equation and its application on inverse problems L Liu, Y Wang, X Zhu, Z Zhu Journal of computational physics 523, 113669, 2025 | 10 | 2025 |
| A locally conservative multiscale finite element method for multiphase flow simulation through heterogeneous and fractured porous media N Zhang, Y Wang, Y Wang, B Yan, Q Sun Journal of Computational and Applied Mathematics 343, 501-519, 2018 | 9 | 2018 |
| Multirate partially explicit scheme for multiscale flow problems WT Leung, Y Wang SIAM Journal on Scientific Computing 44 (3), A1775-A1806, 2022 | 7 | 2022 |
| An adaptive Hessian approximated stochastic gradient MCMC method Y Wang, W Deng, G Lin Journal of Computational Physics 432, 110150, 2021 | 6 | 2021 |
Eric Chung, SIAM FellowProfessor at The Chinese University of Hong KongVerified email at math.cuhk.edu.hk
