Jingshuang Chen

11 papers Journal 11

Year	Rank	Type	Title / Venue / Authors
2023	J	`jnl`	Least-squares neural network (LSNN) method for scalar nonlinear hyperbolic conservation laws: Discrete divergence operator. J. Comput. Appl. Math. Zhiqiang Cai, Jingshuang Chen, Min Liu
2022	J	`jnl`	Adaptive two-layer ReLU neural network: I. Best least-squares approximation. Comput. Math. Appl. Min Liu, Zhiqiang Cai, Jingshuang Chen
2022	J	`jnl`	Self-adaptive deep neural network: Numerical approximation to functions and PDEs. J. Comput. Phys. Zhiqiang Cai, Jingshuang Chen, Min Liu
2021	J	`jnl`	Adaptive Two-Layer ReLU Neural Network: I. Best Least-squares Approximation. CoRR Min Liu, Zhiqiang Cai, Jingshuang Chen
2021	J	`jnl`	Finite Volume Least-Squares Neural Network (FV-LSNN) Method for Scalar Nonlinear Hyperbolic Conservation Laws. CoRR Zhiqiang Cai, Jingshuang Chen, Min Liu
2021	J	`jnl`	Least-Squares ReLU Neural Network (LSNN) Method For Linear Advection-Reaction Equation. CoRR Zhiqiang Cai, Jingshuang Chen, Min Liu
2021	J	`jnl`	Least-Squares ReLU Neural Network (LSNN) Method For Scalar Nonlinear Hyperbolic Conservation Law. CoRR Zhiqiang Cai, Jingshuang Chen, Min Liu
2021	J	`jnl`	Least-squares ReLU neural network (LSNN) method for linear advection-reaction equation. J. Comput. Phys. Zhiqiang Cai, Jingshuang Chen, Min Liu
2021	J	`jnl`	Self-adaptive deep neural network: Numerical approximation to functions and PDEs. CoRR Zhiqiang Cai, Jingshuang Chen, Min Liu
2020	J	`jnl`	Deep least-squares methods: An unsupervised learning-based numerical method for solving elliptic PDEs. J. Comput. Phys. Zhiqiang Cai, Jingshuang Chen, Min Liu, Xinyu Liu
2019	J	`jnl`	Deep least-squares methods: an unsupervised learning-based numerical method for solving elliptic PDEs. CoRR Zhiqiang Cai, Jingshuang Chen, Min Liu, Xinyu Liu