Siu Wun Cheung
Staff Research Scientist
COMP / CASC DIV / Center for Applied Scientific Computing Division
Biography
Siu Wun "Tony" Cheung is a staff research scientist in the Center for Applied Scientific Computing at Lawrence Livermore National Laboratory. He obtained his doctoral degree in mathematics from Texas A&M University in 2020. His broad research area is in computational mathematics. His research interests include numerical analysis, multiscale methods, model reduction, and machine learning.
At LLNL, Tony is a core member of the libROM team. He develops model reduction methods and softwares, such as libROM, pylibROM, and tLaSDI, for accelerating physics predictions arising from various applications, including molecular dynamics, energetic materials, and fusion plasmas. He is a co-organizer of the Data-Driven Physical Simulations (DDPS) seminars. Along with model reduction, he also conducts research in machine learning, from designing multilevel architectures to fine-tuning LLM embeddings.
You may find more about Tony from the following external pages:
Education
- Ph.D. in Mathematics (2020), Texas A&M University.
- M.Phil. in Mathematics (2016), The Chinese University of Hong Kong.
- B.Sc. in Mathematics (2014), The Chinese University of Hong Kong.
Publications
2026 6 publications
Hyper-reduction methods for accelerating nonlinear finite element simulations: open source implementation and reproducible benchmarks. Archives of Computational Methods in Engineering, 33 (2026), 15163-15193.
Learning functional equivalence via supervised contrastive code-problem alignment. LLM4Code '26: Proceedings of the 3rd International Workshop on Large Language Models For Code (2026), 51-58.
Theory and numerics of subspace approximation of eigenvalue problems. Applied Mathematics and Computation, 511 (2026), 129722.
- WGFINNs: Weak formulation-based GENERIC formalism informed neural networks. Computer Methods in Applied Mechanics and Engineering, 461 (2026), 119213.
- Rigor over hype: what foundation model should mean in computational science. Computing in Science & Engineering, 28-3 (2026), 22-34.
- A scalable reduced-order model for the steady Navier–Stokes equations. International Journal for Numerical Methods in Engineering, 127-7 (2026), e70314.
2024 5 publications
tLaSDI: Thermodynamics-informed latent space dynamics identification. Computer Methods in Applied Mechanics and Engineering, 429 (2024), 117144.
Stochastic representation and conditioning of process-based geological model by deep generative and recognition networks. Petroleum Geoscience, 30 (2024), petgeo2022-032.
- Data-scarce surrogate modeling of shock-induced pore collapse process. Shock Waves, 34 (2024), 237-256.
- S-OPT: a points selection algorithm for hyper-reduction in reduced order models. SIAM Journal on Scientific Computing, 46-4 (2024), B474-B501.
- AdjointBackMapV2: Precise reconstruction of arbitrary CNN unit's activation via adjoint operators. Neural Networks, 170 (2024), 55-71.
2023 3 publications
Local Lagrangian reduced-order modeling for Rayleigh-Taylor instability by solution manifold decomposition. Journal of Computational Physics, 472 (2023), 111655.
Online adaptive algorithm for constraint energy minimizing generalized multiscale discontinuous Galerkin method. Multiscale Modeling & Simulation, 23 (2023), 168-193.
- Constraint energy minimizing generalized multiscale finite element method for multi-continuum Richards equations. Journal of Computational Physics, 477 (2023), 111915.
2022 3 publications
Reduced order models for Lagrangian hydrodynamics. Computer Methods in Applied Mechanics and Engineering, 388 (2022), 114259.
- Analysis of non-local multicontinuum upscaling for dual continuum model. Journal of Computational and Applied Mathematics, 406 (2022), 113873.
- Iterative oversampling technique for constraint energy minimizing generalized multiscale finite element method in the mixed formulation. Applied Mathematics and Computation, 415 (2022), 126622.
2021 2 publications
Explicit and energy-conserving constraint energy minimizing generalized multiscale discontinuous Galerkin method for wave propagation in heterogeneous media. Multiscale Modeling & Simulation, 19 (2021), 1736-1759.
- Multiscale simulations for multi-continuum Richards equations. Journal of Computational and Applied Mathematics, 397 (2021), 113648.
2020 7 publications
- Constraint energy minimizing generalized multiscale discontinuous Galerkin method. Journal of Computational and Applied Mathematics, 380 (2020), 112960.
- Multiscale simulations for upscaled multi-continuum flows. Journal of Computational and Applied Mathematics, 374 (2020), 112782.
- Constraint energy minimizing generalized multiscale finite element method for dual continuum model. Communications in Mathematical Sciences, 18 (2020), 663-685.
- Deep multiscale model learning. Journal of Computational Physics, 406 (2020), 109071.
- Generalized multiscale multicontinuum model for fractured vuggy carbonate reservoirs. Journal of Computational and Applied Mathematics, 366 (2020), 112370.
- Deep global model reduction learning in porous media flow simulation. Computational Geosciences, 24 (2020), 261-274.
- Reduced-order deep learning for flow dynamics. The interplay between deep learning and model reduction. Journal of Computational Physics, 401 (2020), 108939.
2019 5 publications
- Nonlocal multicontinua upscaling for multicontinua flow problems in fractured porous media. Journal of Computational and Applied Mathematics, 355 (2019), 258-267.
- Dynamic data-driven Bayesian GMsFEM. Journal of Computational and Applied Mathematics, 353 (2019), 72-85.
- Prediction of discretization of GMsFEM using deep learning. Mathematics, 7 (2019), 412.
- Deep model reduction-model learning for reservoir simulation. SPE Reservoir Simulation Conference (2019), 193912-MS.
- An embedded SDG method for the convection-diffusion equation. International Journal of Numerical Analysis and Modeling, 16 (2019), 255-275.
2018 1 publication
- A mass conservative scheme for fluid-structure interaction problems by the staggered discontinuous Galerkin method. Journal of Scientific Computing, 74 (2018), 1423–1456.
2017 1 publication
- Bayesian multiscale finite element methods. Modeling missing subgrid information probabilistically. International Journal for Multiscale Computational Engineering, 15 (2017), 175–197.
2015 1 publication
- Staggered discontinuous Galerkin methods for the incompressible Navier–Stokes equations. Journal of Computational Physics, 302 (2015), 251-266.
2014 1 publication
- Performance of replica-exchange Wang-Landau sampling for the 2D Ising model: a brief survey. Physics Procedia, 57 (2014), 43-47.