Lizuo Liu

According to our database1, Lizuo Liu authored at least 13 papers between 2019 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Links

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Bibliography

2025
Neural Entropy-stable conservative flux form neural networks for learning hyperbolic conservation laws.
CoRR, July, 2025

Invariant Representations via Wasserstein Correlation Maximization.
CoRR, May, 2025

Multi-scale DeepOnet (Mscale-DeepOnet) for Mitigating Spectral Bias in Learning High Frequency Operators of Oscillatory Functions.
CoRR, April, 2025

On spectral bias reduction of multi-scale neural networks for regression problems.
Neural Networks, 2025

2024
Entropy stable conservative flux form neural networks.
CoRR, 2024

2022
On the Convergence of the Multi-scale Deep Neural Network (MscaleDNN) in Approximating Oscillatory Functions.
CoRR, 2022

A Causality-DeepONet for Causal Responses of Linear Dynamical Systems.
CoRR, 2022

DeepPropNet - A Recursive Deep Propagator Neural Network for Learning Evolution PDE Operators.
CoRR, 2022

2021
Multiscale DeepONet for Nonlinear Operators in Oscillatory Function Spaces for Building Seismic Wave Responses.
CoRR, 2021

A Linearized Learning with Multiscale Deep Neural Network for Stationary Navier-Stokes Equations with Oscillatory Solutions.
CoRR, 2021

2020
A Phase Shift Deep Neural Network for High Frequency Approximation and Wave Problems.
SIAM J. Sci. Comput., 2020

2019
A Phase Shift Deep Neural Network for High Frequency Wave Equations in Inhomogeneous Media.
CoRR, 2019

PhaseDNN - A Parallel Phase Shift Deep Neural Network for Adaptive Wideband Learning.
CoRR, 2019


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