Youngkyu Lee

17 papers A* 1Journal 16

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	REMEDIS: A Clinical AI Framework for Retinal Disease Diagnosis with Explainable Fundus Image Analysis. AAAI Youngkyu Lee, Jinho Lee, Youngdae Jo, Jeongwoo Park
2025	J	`jnl`	A Neural-Operator Preconditioned Newton Method for Accelerated Nonlinear Solvers. CoRR Youngkyu Lee, Shanqing Liu, Jérôme Darbon, George Em Karniadakis
2025	J	`jnl`	A nonoverlapping domain decomposition method for extreme learning machines: Elliptic problems. Comput. Math. Appl. Chang-Ock Lee, Youngkyu Lee, Byungeun Ryoo
2025	J	`jnl`	Automatic discovery of optimal meta-solvers for time-dependent nonlinear PDEs. CoRR Youngkyu Lee, Shanqing Liu, Jérôme Darbon, George Em Karniadakis
2025	J	`jnl`	Balanced group convolution: an improved group convolution based on approximability estimates. Pattern Anal. Appl. Youngkyu Lee, Jongho Park, Chang-Ock Lee
2025	J	`jnl`	Hybrid Iterative Solvers with Geometry-Aware Neural Preconditioners for Parametric PDEs. CoRR Youngkyu Lee, Francesc Levrero-Florencio, Jay Pathak, George Em Karniadakis
2025	J	`jnl`	Leveraging Operator Learning to Accelerate Convergence of the Preconditioned Conjugate Gradient Method. CoRR Alena Kopanicáková, Youngkyu Lee, George Em Karniadakis
2025	J	`jnl`	Physics-Guided Multi-Fidelity DeepONet for Data-Efficient Flow Field Prediction. CoRR Sunwoong Yang, Youngkyu Lee, Namwoo Kang
2025	J	`jnl`	Residual-guided AI-CFD hybrid method enables stable and scalable simulations: from 2D benchmarks to 3D applications. CoRR Shilaj Baral, Youngkyu Lee, Sangam Khanal, Joongoo Jeon
2024	J	`jnl`	A Nonoverlapping Domain Decomposition Method for Extreme Learning Machines: Elliptic Problems. CoRR Chang-Ock Lee, Youngkyu Lee, Byungeun Ryoo
2024	J	`jnl`	Automatic discovery of optimal meta-solvers via multi-objective optimization. CoRR Youngkyu Lee, Shanqing Liu, Jérôme Darbon, George Em Karniadakis
2024	J	`jnl`	Parareal Neural Networks Emulating a Parallel-in-Time Algorithm. IEEE Trans. Neural Networks Learn. Syst. Youngkyu Lee, Jongho Park, Chang-Ock Lee
2024	J	`jnl`	Two-level overlapping additive Schwarz preconditioner for training scientific machine learning applications. CoRR Youngkyu Lee, Alena Kopanicáková, George Em Karniadakis
2023	J	`jnl`	Balanced Group Convolution: An Improved Group Convolution Based on Approximability Estimates. CoRR Youngkyu Lee, Jongho Park, Chang-Ock Lee
2022	J	`jnl`	Two-level group convolution. Neural Networks Youngkyu Lee, Jongho Park, Chang-Ock Lee
2021	J	`jnl`	Parareal Neural Networks Emulating a Parallel-in-time Algorithm. CoRR Chang-Ock Lee, Youngkyu Lee, Jongho Park
2021	J	`jnl`	Two-level Group Convolution. CoRR Youngkyu Lee, Jongho Park, Chang-Ock Lee