A staggered discontinuous Galerkin method for the convection-diffusion equation. - Eric T. Chung 001; Chak Shing Lee (J. Num. Math., 2012)

A Staggered Discontinuous Galerkin Method for the Stokes System. - Hyea Hyun Kim; Eric T. Chung 001; Chak Shing Lee (SIAM J. Numer. Anal., 2013)

A BDDC algorithm for a class of staggered discontinuous Galerkin methods. - Hyea Hyun Kim; Eric T. Chung 001; Chak Shing Lee (Comput. Math. Appl., 2014)

FETI-DP preconditioners for a staggered discontinuous Galerkin formulation of the two-dimensional Stokes problem. - Hyea Hyun Kim; Eric T. Chung 001; Chak Shing Lee (Comput. Math. Appl., 2014)

Mixed Generalized Multiscale Finite Element Methods and Applications. - Eric T. Chung 001; Yalchin Efendiev; Chak Shing Lee (Multiscale Model. Simul., 2015)

Upscaling of Mixed Finite Element Discretization Problems by the Spectral AMGe Method. - Delyan Kalchev; Chak Shing Lee; Umberto Villa; Yalchin Efendiev; Panayot S. Vassilevski (SIAM J. Sci. Comput., 2016)

Nonconforming generalized multiscale finite element methods. - Chak Shing Lee; Dongwoo Sheen (J. Comput. Appl. Math., 2017)

Spectral Upscaling for Graph Laplacian Problems with Application to Reservoir Simulation. - Andrew T. Barker; Chak Shing Lee; Panayot S. Vassilevski (SIAM J. Sci. Comput., 2017)

Space-time discretizations using constrained first-order system least squares (CFOSLS). - Kirill Voronin; Chak Shing Lee; Martin Neumüller; Paulina Sepúlveda; Panayot S. Vassilevski (J. Comput. Phys., 2018)

A mixed generalized multiscale finite element method for planar linear elasticity. - Eric T. Chung 001; Chak Shing Lee (J. Comput. Appl. Math., 2019)

Algebraic Hybridization and Static Condensation with Application to Scalable H(div) Preconditioning. - Veselin Dobrev; Tzanio V. Kolev; Chak Shing Lee; Vladimir Z. Tomov; Panayot S. Vassilevski (SIAM J. Sci. Comput., 2019)

Nonlinear multigrid based on local spectral coarsening for heterogeneous diffusion problems. - Chak Shing Lee; François P. Hamon; Nicola Castelletto; Panayot S. Vassilevski; Joshua A. White (CoRR, 2020)

Multilevel Spectral Coarsening for Graph Laplacian Problems with Application to Reservoir Simulation. - Andrew T. Barker; Stephan V. Gelever; Chak Shing Lee; Sarah V. Osborn; Panayot S. Vassilevski (SIAM J. Sci. Comput., 2021)

A Unified Framework for Deep Symbolic Regression. - Mikel Landajuela; Chak Shing Lee; Jiachen Yang; Ruben Glatt; Cláudio P. Santiago; Ignacio Aravena; Terrell Nathan Mundhenk; Garrett Mulcahy; Brenden K. Petersen (NeurIPS, 2022)

An aggregation-based nonlinear multigrid solver for two-phase flow and transport in porous media. - Chak Shing Lee; François P. Hamon; Nicola Castelletto; Panayot S. Vassilevski; Joshua A. White (Comput. Math. Appl., 2022)

Interpretable Symbolic Regression for Data Science: Analysis of the 2022 Competition. - Fabrício Olivetti de França; Marco Virgolin; Michael Kommenda; Maimuna S. Majumder; Miles D. Cranmer; Guilherme Espada; Leon Ingelse; Alcides Fonseca; Mikel Landajuela; Brenden K. Petersen; Ruben Glatt; T. Nathan Mundhenk; et al. (CoRR, 2023)

Scalable Multilevel Monte Carlo Methods Exploiting Parallel Redistribution on Coarse Levels. - Hillary R. Fairbanks; Delyan Z. Kalchev; Chak Shing Lee; Panayot S. Vassilevski (CoRR, 2024)

Multilevel well modeling in aggregation-based nonlinear multigrid for multiphase flow in porous media. - Chak Shing Lee; François P. Hamon; Nicola Castelletto; Panayot S. Vassilevski; Joshua A. White (J. Comput. Phys., 2024)

DisCo-DSO: Coupling Discrete and Continuous Optimization for Efficient Generative Design in Hybrid Spaces. - Jacob F. Pettit; Chak Shing Lee; Jiachen Yang; Alex Ho; Daniel M. Faissol; Brenden K. Petersen; Mikel Landajuela (AAAI, 2025)

Deep Symbolic Optimization: Reinforcement Learning for Symbolic Mathematics. - Conor F. Hayes; Felipe Leno da Silva; Jiachen Yang; T. Nathan Mundhenk; Chak Shing Lee; Jacob F. Pettit; Claudio Santiago; Sookyung Kim; Joanne Taery Kim; Ignacio Aravena Solis; Ruben Glatt; Andre R. Goncalves; et al. (CoRR, 2025)

AMG with Filtering: An Efficient Preconditioner for Interior Point Methods in Large-Scale Contact Mechanics Optimization. - Socratis Petrides; Tucker Hartland; Tzanio V. Kolev; Chak Shing Lee; Michael Puso; Jerome Solberg; Eric B. Chin; Jingyi Wang; Cosmin G. Petra (CoRR, 2025)

SRBench++: Principled Benchmarking of Symbolic Regression With Domain-Expert Interpretation. - Fabrício Olivetti de França; Marco Virgolin; Michael Kommenda; Maimuna S. Majumder; Miles D. Cranmer; Guilherme Espada; Leon Ingelse; Alcides Fonseca; Mikel Landajuela; Brenden K. Petersen; Ruben Glatt; T. Nathan Mundhenk; et al. (IEEE Trans. Evol. Comput., 2025)