Fast high-resolution appearance editing using superimposed projections DG Aliaga, YH Yeung, A Law, B Sajadi, A Majumder ACM Transactions on Graphics (TOG) 31 (2), 1-13, 2012 | 92 | 2012 |
A virtual restoration stage for real-world objects DG Aliaga, AJ Law, YH Yeung ACM SIGGRAPH Asia 2008 papers, 1-10, 2008 | 66 | 2008 |
Interactively cutting and constraining vertices in meshes using augmented matrices YH Yeung, J Crouch, A Pothen ACM Transactions on Graphics (TOG) 35 (2), 1-17, 2016 | 25 | 2016 |
Physics‐Informed Machine Learning Method for Large‐Scale Data Assimilation Problems YH Yeung, DA Barajas‐Solano, AM Tartakovsky Water Resources Research 58 (5), e2021WR031023, 2022 | 14 | 2022 |
Projecting Restorations in Real-Time for Real-World Objects AJ Law, D Aliaga, YH Yeung, R McCoy, A McKune, L Zimmerman Museums and the Web 2009: Proceeding. Toronto: Archives & Museum Informatics …, 2009 | 9 | 2009 |
AMPS: An augmented matrix formulation for principal submatrix updates with application to power grids YH Yeung, A Pothen, M Halappanavar, Z Huang SIAM Journal on Scientific Computing 39 (5), S809-S827, 2017 | 8 | 2017 |
Amps: A real-time mesh cutting algorithm for surgical simulations YH Yeung, A Pothen, J Crouch arXiv preprint arXiv:1811.00328, 2018 | 3 | 2018 |
Gaussian process regression and conditional Karhunen-Loève models for data assimilation in inverse problems YH Yeung, DA Barajas-Solano, AM Tartakovsky Journal of Computational Physics 502, 112788, 2024 | 1 | 2024 |
AMPS: Real‐time mesh cutting with augmented matrices for surgical simulations YH Yeung, A Pothen, J Crouch Numerical Linear Algebra with Applications 27 (6), e2323, 2020 | 1 | 2020 |
Conditional Karhunen–Loève regression model with Basis Adaptation for high-dimensional problems: Uncertainty quantification and inverse modeling YH Yeung, R Tipireddy, DA Barajas-Solano, AM Tartakovsky Computer Methods in Applied Mechanics and Engineering 418, 116487, 2024 | | 2024 |
Physics-informed Gaussian process regression model for parameter estimation in groundwater models AM Tartakovsky, YH Yeung, DA Barajas-Solano AGU Fall Meeting Abstracts 2022, U32A-08, 2022 | | 2022 |
Physics-Informed Machine Learning Method for Large-Scale Data Assimilation Problems A Tartakovsky, YH Yeung, D Barajas-Solano AGU Fall Meeting Abstracts 2021, H15O-1225, 2021 | | 2021 |
Augmented Matrix Solvers for Dynamic Linear Systems of Equations YH Yeung | | 2017 |
Augmented Matrix Solvers for Dynamic System of Equations YH Yeung Purdue University, 2017 | | 2017 |
Museums and the Web 2009: the international conference for culture and heritage on-line M Salgado, J Saad-Sulonen, L Diaz | | |