Jongho Park - RankMe

34 papers Journal 34

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	Additive Schwarz Methods for Fourth-Order Variational Inequalities. J. Sci. Comput. Jongho Park
2024	J	`jnl`	Additive Schwarz Methods for Semilinear Elliptic Problems with Convex Energy Functionals: Convergence Rate Independent of Nonlinearity. SIAM J. Sci. Comput. Jongho Park
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`	Randomized greedy algorithms for neural network optimization. CoRR Jongho Park, Jinchao Xu, Xiaofeng Xu
2024	J	`jnl`	Two-Level Overlapping Schwarz Preconditioners with Universal Coarse Spaces for $\boldsymbol{2m}$th-Order Elliptic Problems. SIAM J. Sci. Comput. Jongho Park
2024	J	`jnl`	Two-level overlapping Schwarz preconditioners with universal coarse spaces for 2mth-order elliptic problems. CoRR Jongho Park
2023	J	`jnl`	A numerically efficient output-only system-identification framework for stochastically forced self-sustained oscillators. CoRR Minwoo Lee, Kyu-Tae Kim, Jongho Park
2023	J	`jnl`	Additive Schwarz methods for fourth-order variational inequalities. CoRR Jongho Park
2023	J	`jnl`	Additive Schwarz methods for semilinear elliptic problems with convex energy functionals: Convergence rate independent of nonlinearity. CoRR Jongho Park
2023	J	`jnl`	An Optimized Dynamic Mode Decomposition Model Robust to Multiplicative Noise. SIAM J. Appl. Dyn. Syst. Minwoo Lee, Jongho Park
2023	J	`jnl`	Balanced Group Convolution: An Improved Group Convolution Based on Approximability Estimates. CoRR Youngkyu Lee, Jongho Park, Chang-Ock Lee
2023	J	`jnl`	DualFL: A Duality-based Federated Learning Algorithm with Communication Acceleration in the General Convex Regime. CoRR Jongho Park, Jinchao Xu
2023	J	`jnl`	Preconditioning for finite element methods with strain smoothing. Comput. Math. Appl. Chaemin Lee, Jongho Park
2022	J	`jnl`	A neuron-wise subspace correction method for the finite neuron method. CoRR Jongho Park, Jinchao Xu, Xiaofeng Xu
2022	J	`jnl`	Additive Schwarz methods for convex optimization with backtracking. Comput. Math. Appl. Jongho Park
2022	J	`jnl`	Fast gradient methods for uniformly convex and weakly smooth problems. Adv. Comput. Math. Jongho Park
2022	J	`jnl`	Two-level group convolution. Neural Networks Youngkyu Lee, Jongho Park, Chang-Ock Lee
2021	J	`jnl`	A variational framework for the strain-smoothed element method. Comput. Math. Appl. Chaemin Lee, Jongho Park
2021	J	`jnl`	Accelerated Additive Schwarz Methods for Convex Optimization with Adaptive Restart. J. Sci. Comput. Jongho Park
2021	J	`jnl`	Parareal Neural Networks Emulating a Parallel-in-time Algorithm. CoRR Chang-Ock Lee, Youngkyu Lee, Jongho Park
2021	J	`jnl`	Preconditioning for finite element methods with strain smoothing. CoRR Chaemin Lee, Jongho Park
2021	J	`jnl`	Two-level Group Convolution. CoRR Youngkyu Lee, Jongho Park, Chang-Ock Lee
2020	J	`jnl`	A variational framework for the strain-smoothed element method. CoRR Chaemin Lee, Jongho Park
2020	J	`jnl`	Accelerated Additive Schwarz Methods for Convex Optimization with Adaptive Restart. CoRR Jongho Park
2020	J	`jnl`	Additive Schwarz Methods for Convex Optimization as Gradient Methods. SIAM J. Numer. Anal. Jongho Park
2020	J	`jnl`	An Overlapping Domain Decomposition Framework without Dual Formulation for Variational Imaging Problems. CoRR Jongho Park
2020	J	`jnl`	Correction to: A dual iterative substructuring method with a small penalty parameter. CoRR Chang-Ock Lee, Eun-Hee Park, Jongho Park
2019	J	`jnl`	A Finite Element Approach for the Dual Rudin-Osher-Fatemi Model and Its Nonoverlapping Domain Decomposition Methods. SIAM J. Sci. Comput. Chang-Ock Lee, Eun-Hee Park, Jongho Park
2019	J	`jnl`	A Finite Element Nonoverlapping Domain Decomposition Method with Lagrange Multipliers for the Dual Total Variation Minimizations. J. Sci. Comput. Chang-Ock Lee, Jongho Park
2019	J	`jnl`	Additive Schwarz Methods for Convex Optimization as Gradient Methods. CoRR Jongho Park
2019	J	`jnl`	Domain Decomposition Methods Using Dual Conversion for the Total Variation Minimization with $$L^1$$ L 1 Fidelity Term. J. Sci. Comput. Chang-Ock Lee, Changmin Nam, Jongho Park
2019	J	`jnl`	Fast Nonoverlapping Block Jacobi Method for the Dual Rudin-Osher-Fatemi Model. CoRR Chang-Ock Lee, Jongho Park
2019	J	`jnl`	Fast Nonoverlapping Block Jacobi Method for the Dual Rudin-Osher-Fatemi Model. SIAM J. Imaging Sci. Chang-Ock Lee, Jongho Park
2019	J	`jnl`	Pseudo-linear Convergence of an Additive Schwarz Method for Dual Total Variation Minimization. CoRR Jongho Park