Yongcun Song

According to our database, Yongcun Song authored at least 10 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

FedADMM-InSa: An inexact and self-adaptive ADMM for federated learning.

Yongcun Song, Ziqi Wang, Enrique Zuazua

Neural Networks, 2025

2024

An Augmented Lagrangian Method for State Constrained Linear Parabolic Optimal Control Problems.

Hailing Wang, Changjun Yu, Yongcun Song

J. Optim. Theory Appl., October, 2024

The ADMM-PINNs Algorithmic Framework for Nonsmooth PDE-Constrained Optimization: A Deep Learning Approach.

Yongcun Song, Xiaoming Yuan, Hangrui Yue

SIAM J. Sci. Comput., 2024

2023

A numerical approach to the optimal control of thermally convective flows.

Yongcun Song, Xiaoming Yuan, Hangrui Yue

J. Comput. Phys., December, 2023

Approximate and Weighted Data Reconstruction Attack in Federated Learning.

Ziqi Wang, Yongcun Song, Enrique Zuazua

CoRR, 2023

The Hard-Constraint PINNs for Interface Optimal Control Problems.

Ming-Chih Lai, Yongcun Song, Xiaoming Yuan, Hangrui Yue, Tianyou Zeng

CoRR, 2023

Accelerated primal-dual methods with enlarged step sizes and operator learning for nonsmooth optimal control problems.

Yongcun Song, Xiaoming Yuan, Hangrui Yue

CoRR, 2023

2022

Bilinear Optimal Control of an Advection-Reaction-Diffusion System.

Roland Glowinski, Yongcun Song, Xiaoming Yuan, Hangrui Yue

SIAM Rev., 2022

2020

An ADMM numerical approach to linear parabolic state constrained optimal control problems.

Roland Glowinski, Yongcun Song, Xiaoming Yuan

Numerische Mathematik, 2020

2019

An Inexact Uzawa Algorithmic Framework for Nonlinear Saddle Point Problems with Applications to Elliptic Optimal Control Problem.

Yongcun Song, Xiaoming Yuan, Hangrui Yue

SIAM J. Numer. Anal., 2019