Liu Yang
Orcid: 0000-0002-7476-9168Affiliations:
- University of California Los Angeles, Department of Mathematics, CA, USA
- Brown University, Division of Applied Mathematics, Providence, RI, USA (former)
According to our database1,
Liu Yang
authored at least 20 papers
between 2018 and 2025.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
On csauthors.net:
Bibliography
2025
CoRR, February, 2025
Neural Networks, 2025
2024
PDE generalization of in-context operator networks: A study on 1D scalar nonlinear conservation laws.
J. Comput. Phys., 2024
VICON: Vision In-Context Operator Networks for Multi-Physics Fluid Dynamics Prediction.
CoRR, 2024
2023
Prompting In-Context Operator Learning with Sensor Data, Equations, and Natural Language.
CoRR, 2023
2022
Potential Flow Generator With L<sub>2</sub> Optimal Transport Regularity for Generative Models.
IEEE Trans. Neural Networks Learn. Syst., 2022
Generative Ensemble Regression: Learning Particle Dynamics from Observations of Ensembles with Physics-informed Deep Generative Models.
SIAM J. Sci. Comput., 2022
J. Comput. Phys., 2022
2021
Solving Inverse Stochastic Problems from Discrete Particle Observations Using the Fokker-Planck Equation and Physics-Informed Neural Networks.
SIAM J. Sci. Comput., 2021
B-PINNs: Bayesian physics-informed neural networks for forward and inverse PDE problems with noisy data.
J. Comput. Phys., 2021
Measure-conditional Discriminator with Stationary Optimum for GANs and Statistical Distance Surrogates.
CoRR, 2021
2020
Physics-Informed Generative Adversarial Networks for Stochastic Differential Equations.
SIAM J. Sci. Comput., 2020
Generative Ensemble-Regression: Learning Stochastic Dynamics from Discrete Particle Ensemble Observations.
CoRR, 2020
2019
Neural-net-induced Gaussian process regression for function approximation and PDE solution.
J. Comput. Phys., 2019
CoRR, 2019
Potential Flow Generator with $L_2$ Optimal Transport Regularity for Generative Models.
CoRR, 2019
Proceedings of the Third IEEE/ACM Workshop on Deep Learning on Supercomputers, 2019
2018
Bi-directional coupling between a PDE-domain and an adjacent Data-domain equipped with multi-fidelity sensors.
J. Comput. Phys., 2018