Liang Yan
Orcid: 0000-0001-6734-1326Affiliations:
- Southeast University, Department of Mathematics, Nanjing, China
- Lanzhou University, School of Mathematics and Statistics, China (former)
According to our database1,
Liang Yan
authored at least 22 papers
between 2009 and 2023.
Collaborative distances:
Collaborative distances:
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Bibliography
2023
Surrogate modeling for Bayesian inverse problems based on physics-informed neural networks.
J. Comput. Phys., February, 2023
CoRR, 2023
Failure-informed adaptive sampling for PINNs, Part II: combining with re-sampling and subset simulation.
CoRR, 2023
2021
J. Comput. Phys., 2021
CoRR, 2021
An acceleration strategy for randomize-then-optimize sampling via deep neural networks.
CoRR, 2021
Appl. Math. Lett., 2021
2019
Adaptive multi-fidelity polynomial chaos approach to Bayesian inference in inverse problems.
J. Comput. Phys., 2019
An adaptive surrogate modeling based on deep neural networks for large-scale Bayesian inverse problems.
CoRR, 2019
2018
Weighted Approximate Fekete Points: Sampling for Least-Squares Polynomial Approximation.
SIAM J. Sci. Comput., 2018
2017
Sparse Approximation using ℓ<sub>1-ℓ<sub>2</sub></sub> Minimization and Its Application to Stochastic Collocation.
SIAM J. Sci. Comput., 2017
2015
Stochastic Collocation Algorithms Using l<sub>1</sub>-Minimization for Bayesian Solution of Inverse Problems.
SIAM J. Sci. Comput., 2015
The method of approximate particular solutions for the time-fractional diffusion equation with a non-local boundary condition.
Comput. Math. Appl., 2015
2014
Comput. Math. Appl., 2014
2013
On the interface identification of free boundary problem by method of fundamental solution.
Numer. Linear Algebra Appl., 2013
2011
J. Comput. Appl. Math., 2011
2009
Reconstruction of the corrosion boundary for the Laplace equation by using a boundary collocation method.
Math. Comput. Simul., 2009
J. Comput. Phys., 2009
A Bayesian inference approach to identify a Robin coefficient in one-dimensional parabolic problems.
J. Comput. Appl. Math., 2009