Qifeng Liao

Orcid: 0000-0003-2033-6356

According to our database1, Qifeng Liao authored at least 25 papers between 2013 and 2024.

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

Timeline

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Bibliography

2024
Reduced basis stochastic Galerkin methods for partial differential equations with random inputs.
Appl. Math. Comput., February, 2024

An Adaptive ANOVA Stochastic Galerkin Method for Partial Differential Equations with High-dimensional Random Inputs.
J. Sci. Comput., January, 2024

2023
VI-DGP: A Variational Inference Method with Deep Generative Prior for Solving High-Dimensional Inverse Problems.
J. Sci. Comput., October, 2023

Robin-type domain decomposition with stabilized mixed approximation for incompressible flow.
Comput. Math. Appl., October, 2023

Rank-Adaptive Tensor Completion Based on Tucker Decomposition.
Entropy, February, 2023

A deep domain decomposition method based on Fourier features.
J. Comput. Appl. Math., 2023

An adaptive ANOVA stochastic Galerkin method for partial differential equations with random inputs.
CoRR, 2023

Dimension-reduced KRnet maps for high-dimensional Bayesian inverse problems.
CoRR, 2023

Streaming probabilistic tensor train decomposition.
CoRR, 2023

A domain-decomposed VAE method for Bayesian inverse problems.
CoRR, 2023

2022
A Stochastic Discrete Empirical Interpolation Approach for Parameterized Systems.
Symmetry, 2022

Adaptive deep density approximation for Fokker-Planck equations.
J. Comput. Phys., 2022

Domain-decomposed Bayesian inversion based on local Karhunen-Loève expansions.
CoRR, 2022

Deep neural network based adaptive learning for switched systems.
CoRR, 2022

2020
Rank adaptive tensor recovery based model reduction for partial differential equations with high-dimensional random inputs.
J. Comput. Phys., 2020

ANOVA Gaussian process modeling for high-dimensional stochastic computational models.
J. Comput. Phys., 2020

Gaussian Process Based Expected Information Gain Computation for Bayesian Optimal Design.
Entropy, 2020

Tensor Train Random Projection.
CoRR, 2020

D3M: A Deep Domain Decomposition Method for Partial Differential Equations.
IEEE Access, 2020

2019
An adaptive reduced basis ANOVA method for high-dimensional Bayesian inverse problems.
J. Comput. Phys., 2019

ANOVA Gaussian process modeling for high-dimensional stochastic computational models.
CoRR, 2019

A Hierarchical Neural Hybrid Method for Failure Probability Estimation.
IEEE Access, 2019

2016
Reduced basis ANOVA methods for partial differential equations with high-dimensional random inputs.
J. Comput. Phys., 2016

2015
A Domain Decomposition Approach for Uncertainty Analysis.
SIAM J. Sci. Comput., 2015

2013
Reduced Basis Collocation Methods for Partial Differential Equations with Random Coefficients.
SIAM/ASA J. Uncertain. Quantification, 2013


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