Jingshuang Chen

According to our database, Jingshuang Chen authored at least 7 papers between 2020 and 2023.

Collaborative distances:

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

2023

Least-squares neural network (LSNN) method for scalar nonlinear hyperbolic conservation laws: Discrete divergence operator.

Zhiqiang Cai, Jingshuang Chen, Min Liu

J. Comput. Appl. Math., December, 2023

2022

Self-adaptive deep neural network: Numerical approximation to functions and PDEs.

Zhiqiang Cai, Jingshuang Chen, Min Liu

J. Comput. Phys., 2022

Adaptive two-layer ReLU neural network: I. Best least-squares approximation.

Min Liu, Zhiqiang Cai, Jingshuang Chen

Comput. Math. Appl., 2022

2021

Least-squares ReLU neural network (LSNN) method for linear advection-reaction equation.

Zhiqiang Cai, Jingshuang Chen, Min Liu

J. Comput. Phys., 2021

Finite Volume Least-Squares Neural Network (FV-LSNN) Method for Scalar Nonlinear Hyperbolic Conservation Laws.

Zhiqiang Cai, Jingshuang Chen, Min Liu

CoRR, 2021

Least-Squares ReLU Neural Network (LSNN) Method For Scalar Nonlinear Hyperbolic Conservation Law.

Zhiqiang Cai, Jingshuang Chen, Min Liu

CoRR, 2021

2020

Deep least-squares methods: An unsupervised learning-based numerical method for solving elliptic PDEs.

Zhiqiang Cai, Jingshuang Chen, Min Liu, Xinyu Liu

J. Comput. Phys., 2020