Yoonsang Lee - RankMe

32 papers Journal 31Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Entropy Stable Conservative Flux Form Neural Networks. J. Sci. Comput. Lizuo Liu, Tongtong Li, Anne Gelb, Yoonsang Lee
2025	J	`jnl`	Invariant Representations via Wasserstein Correlation Maximization. CoRR Keenan Eikenberry, Lizuo Liu, Yoonsang Lee
2025	J	`jnl`	Structurally informed data assimilation in two dimensions. CoRR Tongtong Li, Anne Gelb, Yoonsang Lee
2024	J	`jnl`	A stochastic approach for elliptic problems in perforated domains. J. Comput. Phys. Jihun Han, Yoonsang Lee
2024	J	`jnl`	A structurally informed data assimilation approach for nonlinear partial differential equations. J. Comput. Phys. Tongtong Li, Anne Gelb, Yoonsang Lee
2024	J	`jnl`	Entropy stable conservative flux form neural networks. CoRR Lizuo Liu, Tongtong Li, Anne Gelb, Yoonsang Lee
2024	J	`jnl`	Learning In-Between Imagery Dynamics via Physical Latent Spaces. SIAM J. Sci. Comput. Jihun Han, Yoonsang Lee, Anne Gelb
2024	J	`jnl`	Learning the Dynamics for Unknown Hyperbolic Conservation Laws Using Deep Neural Networks. SIAM J. Sci. Comput. Zhen Chen, Anne Gelb, Yoonsang Lee
2024	J	`jnl`	Sampling error mitigation through spectrum smoothing in ensemble data assimilation. CoRR Bosu Choi, Yoonsang Lee
2024	J	`jnl`	Stochastic approach for elliptic problems in perforated domains. CoRR Jihun Han, Yoonsang Lee
2023	J	`jnl`	A Neural Network Approach for Homogenization of Multiscale Problems. Multiscale Model. Simul. Jihun Han, Yoonsang Lee
2023	J	`jnl`	A Structurally Informed Data Assimilation Approach for Nonlinear Partial Differential Equations. CoRR Tongtong Li, Anne Gelb, Yoonsang Lee
2023	J	`jnl`	An analysis of the derivative-free loss method for solving PDEs. CoRR Jihun Han, Yoonsang Lee
2023	—	`conf`	Hierarchical Learning to Solve PDEs Using Physics-Informed Neural Networks. ICCS (3) Jihun Han, Yoonsang Lee
2023	J	`jnl`	Improving numerical accuracy for the viscous-plastic formulation of sea ice. J. Comput. Phys. Tongtong Li, Anne Gelb, Yoonsang Lee
2023	J	`jnl`	Inhomogeneous regularization with limited and indirect data. J. Comput. Appl. Math. Jihun Han, Yoonsang Lee
2023	J	`jnl`	Learning In-between Imagery Dynamics via Physical Latent Spaces. CoRR Jihun Han, Yoonsang Lee, Anne Gelb
2023	J	`jnl`	Weighted inhomogeneous regularization for inverse problems with indirect and incomplete measurement data. CoRR Bosu Choi, Jihun Han, Yoonsang Lee
2022	J	`jnl`	A Neural Network Approach for Homogenization of Multiscale Problems. CoRR Jihun Han, Yoonsang Lee
2022	J	`jnl`	Designing Neural Networks for Hyperbolic Conservation Laws. CoRR Zhen Chen, Anne Gelb, Yoonsang Lee
2022	J	`jnl`	Improving numerical accuracy for the viscous-plastic formulation of sea ice. CoRR Tongtong Li, Anne Gelb, Yoonsang Lee
2021	J	`jnl`	Hierarchical Learning to Solve Partial Differential Equations Using Physics-Informed Neural Networks. CoRR Jihun Han, Yoonsang Lee
2021	J	`jnl`	Inhomogenous Regularization with Limited and Indirect Data. CoRR Jihun Han, Yoonsang Lee
2021	J	`jnl`	Sampling error correction in ensemble Kalman inversion. CoRR Yoonsang Lee
2021	J	`jnl`	l SIAM J. Sci. Comput. Yoonsang Lee
2020	J	`jnl`	l CoRR Yoonsang Lee
2017	J	`jnl`	Stochastic Superparameterization and Multiscale Filtering of Turbulent Tracers. Multiscale Model. Simul. Yoonsang Lee, Andrew J. Majda, Di Qi
2016	J	`jnl`	Multiscale numerical methods for passive advection-diffusion in incompressible turbulent flow fields. J. Comput. Phys. Yoonsang Lee, Björn Engquist
2015	J	`jnl`	Multiscale Methods for Data Assimilation in Turbulent Systems. Multiscale Model. Simul. Yoonsang Lee, Andrew J. Majda
2015	J	`jnl`	Numerical Schemes for Stochastic Backscatter in the Inverse Cascade of Quasigeostrophic Turbulence. Multiscale Model. Simul. Ian G. Grooms, Yoonsang Lee, Andrew J. Majda
2014	J	`jnl`	Ensemble Kalman filters for dynamical systems with unresolved turbulence. J. Comput. Phys. Ian G. Grooms, Yoonsang Lee, Andrew J. Majda
2013	J	`jnl`	A Multiscale Method for Highly Oscillatory Dynamical Systems Using a Poincaré Map Type Technique. J. Sci. Comput. Gil Ariel, Björn Engquist, S. Kim, Yoonsang Lee, Richard Tsai