Staggered discontinuous Galerkin methods for the incompressible Navier-Stokes equations. - Siu Wun Cheung; Eric T. Chung 001; Hyea Hyun Kim; Yue Qian (J. Comput. Phys., 2015)

A Mass Conservative Scheme for Fluid-Structure Interaction Problems by the Staggered Discontinuous Galerkin Method. - Siu Wun Cheung; Eric T. Chung 001; Hyea Hyun Kim (J. Sci. Comput., 2018)

Dynamic data-driven Bayesian GMsFEM. - Siu Wun Cheung; Nilabja Guha (J. Comput. Appl. Math., 2019)

Nonlocal multicontinua upscaling for multicontinua flow problems in fractured porous media. - Maria V. Vasilyeva; Eric T. Chung 001; Siu Wun Cheung; Yating Wang; Georgy Prokopev (J. Comput. Appl. Math., 2019)

Constraint energy minimizing generalized multiscale discontinuous Galerkin method. - Siu Wun Cheung; Eric T. Chung 001; Wing Tat Leung (J. Comput. Appl. Math., 2020)

Multiscale simulations for upscaled multi-continuum flows. - Jun Sur Richard Park; Siu Wun Cheung; Tina Mai; Viet Ha Hoang (J. Comput. Appl. Math., 2020)

Generalized multiscale multicontinuum model for fractured vuggy carbonate reservoirs. - Min Wang; Siu Wun Cheung; Eric T. Chung 001; Maria V. Vasilyeva; Yuhe Wang (J. Comput. Appl. Math., 2020)

Deep multiscale model learning. - Yating Wang; Siu Wun Cheung; Eric T. Chung 001; Yalchin Efendiev; Min Wang (J. Comput. Phys., 2020)

Reduced-order deep learning for flow dynamics. The interplay between deep learning and model reduction. - Min Wang; Siu Wun Cheung; Wing Tat Leung; Eric T. Chung 001; Yalchin Efendiev; Mary F. Wheeler (J. Comput. Phys., 2020)

Reduced order models for Lagrangian hydrodynamics. - Dylan Matthew Copeland; Siu Wun Cheung; Kevin Huynh; Youngsoo Choi (CoRR, 2021)

Multiscale simulations for multi-continuum Richards equations. - Jun Sur Richard Park; Siu Wun Cheung; Tina Mai (J. Comput. Appl. Math., 2021)

Explicit and Energy-Conserving Constraint Energy Minimizing Generalized Multiscale Discontinuous Galerkin Method for Wave Propagation in Heterogeneous Media. - Siu Wun Cheung; Eric T. Chung 001; Yalchin Efendiev; Wing Tat Leung (Multiscale Model. Simul., 2021)

Iterative oversampling technique for constraint energy minimizing generalized multiscale finite element method in the mixed formulation. - Siu Wun Cheung; Eric T. Chung 001; Yalchin Efendiev; Wing Tat Leung; Sai-Mang Pun (Appl. Math. Comput., 2022)

Analysis of non-local multicontinuum upscaling for dual continuum model. - Jingyan Zhang; Siu Wun Cheung (J. Comput. Appl. Math., 2022)

Data-scarce surrogate modeling of shock-induced pore collapse process. - Siu Wun Cheung; Youngsoo Choi; H. Keo Springer; Teeratorn Kadeethum (CoRR, 2023)

Local Lagrangian reduced-order modeling for the Rayleigh-Taylor instability by solution manifold decomposition. - Siu Wun Cheung; Youngsoo Choi; Dylan Matthew Copeland; Kevin Huynh (J. Comput. Phys., 2023)

Constraint energy minimizing generalized multiscale finite element method for multi-continuum Richards equations. - Tina Mai; Siu Wun Cheung; Jun Sur Richard Park (J. Comput. Phys., 2023)

Online Adaptive Algorithm for Constraint Energy Minimizing Generalized Multiscale Discontinuous Galerkin Method. - Sai-Mang Pun; Siu Wun Cheung (Multiscale Model. Simul., 2023)

tLaSDI: Thermodynamics-informed latent space dynamics identification. - Jun Sur Richard Park; Siu Wun Cheung; Youngsoo Choi; Yeonjong Shin (CoRR, 2024)

A Comprehensive Review of Latent Space Dynamics Identification Algorithms for Intrusive and Non-Intrusive Reduced-Order-Modeling. - Christophe Bonneville; Xiaolong He 001; April Tran; Jun Sur Richard Park; William Fries; Daniel A. Messenger; Siu Wun Cheung; Yeonjong Shin; David M. Bortz; Debojyoti Ghosh; Jiun-Shyan Chen; Jonathan L. Belof; et al. (CoRR, 2024)

Theory and numerics of subspace approximation of eigenvalue problems. - Siu Wun Cheung; Youngsoo Choi; Seung Whan Chung; Jean-Luc Fattebert; Coleman Kendrick; Daniel Osei-Kuffuor (CoRR, 2024)

AdjointBackMapV2: Precise reconstruction of arbitrary CNN unit's activation via adjoint operators. - Qing Wan; Siu Wun Cheung; Yoonsuck Choe (Neural Networks, 2024)

S-OPT: A Points Selection Algorithm for Hyper-Reduction in Reduced Order Models. - Jessica T. Lauzon; Siu Wun Cheung; Yeonjong Shin; Youngsoo Choi; Dylan Matthew Copeland; Kevin Huynh (SIAM J. Sci. Comput., 2024)

Defining Foundation Models for Computational Science: A Call for Clarity and Rigor. - Youngsoo Choi; Siu Wun Cheung; Youngkyu Kim; Ping-Hsuan Tsai; Alejandro N. Diaz; Ivan Zanardi; Seung Whan Chung; Dylan Matthew Copeland; Coleman Kendrick; William Anderson; Traian Iliescu; Matthias Heinkenschloss (CoRR, 2025)