Qifeng Liao

According to our database, Qifeng Liao authored at least 28 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Reduced basis stochastic Galerkin methods for partial differential equations with random inputs.

Guanjie Wang, Qifeng Liao

Appl. Math. Comput., February, 2024

An Adaptive ANOVA Stochastic Galerkin Method for Partial Differential Equations with High-dimensional Random Inputs.

Guanjie Wang, Smita Sahu, Qifeng Liao

J. Sci. Comput., January, 2024

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

Zhihang Xu, Qifeng Liao, Jinglai Li

J. Comput. Phys., 2024

A conditional normalizing flow for domain decomposed uncertainty quantification.

Sen Li, Ke Li, Yu Liu, Qifeng Liao

CoRR, 2024

An alternating low-rank projection approach for partial differential equations with random inputs.

Guanjie Wang, Qifeng Liao

CoRR, 2024

Adaptive deep density approximation for stochastic dynamical systems.

Junjie He, Qifeng Liao, Xiaoliang Wan

CoRR, 2024

2023

VI-DGP: A Variational Inference Method with Deep Generative Prior for Solving High-Dimensional Inverse Problems.

Yingzhi Xia, Qifeng Liao, Jinglai Li

J. Sci. Comput., October, 2023

Robin-type domain decomposition with stabilized mixed approximation for incompressible flow.

Yani Feng, Qifeng Liao, David J. Silvester

Comput. Math. Appl., October, 2023

Rank-Adaptive Tensor Completion Based on Tucker Decomposition.

Siqi Liu, Xiaoyu Shi, Qifeng Liao

Entropy, February, 2023

A deep domain decomposition method based on Fourier features.

Sen Li, Yingzhi Xia, Yu Liu, Qifeng Liao

J. Comput. Appl. Math., 2023

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

Guanjie Wang, Smita Sahu, Qifeng Liao

CoRR, 2023

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

Yani Feng, Kejun Tang, Xiaoliang Wan, Qifeng Liao

CoRR, 2023

Streaming probabilistic tensor train decomposition.

Yunyu Huang, Yani Feng, Qifeng Liao

CoRR, 2023

A domain-decomposed VAE method for Bayesian inverse problems.

Zhihang Xu, Yingzhi Xia, Qifeng Liao

CoRR, 2023

2022

A Stochastic Discrete Empirical Interpolation Approach for Parameterized Systems.

Daheng Cai, Chengbin Yao, Qifeng Liao

Symmetry, 2022

Adaptive deep density approximation for Fokker-Planck equations.

Kejun Tang, Xiaoliang Wan, Qifeng Liao

J. Comput. Phys., 2022

Deep neural network based adaptive learning for switched systems.

Junjie He, Zhihang Xu, Qifeng Liao

CoRR, 2022

2020

Rank adaptive tensor recovery based model reduction for partial differential equations with high-dimensional random inputs.

Kejun Tang, Qifeng Liao

J. Comput. Phys., 2020

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

Chen Chen, Qifeng Liao

J. Comput. Phys., 2020

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

Zhihang Xu, Qifeng Liao

Entropy, 2020

Tensor Train Random Projection.

Yani Feng, Kejun Tang, Lianxing He, Pingqiang Zhou, Qifeng Liao

CoRR, 2020

D3M: A Deep Domain Decomposition Method for Partial Differential Equations.

Ke Li, Kejun Tang, Tianfan Wu, Qifeng Liao

IEEE Access, 2020

2019

An adaptive reduced basis ANOVA method for high-dimensional Bayesian inverse problems.

Qifeng Liao, Jinglai Li

J. Comput. Phys., 2019

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

Chen Chen, Qifeng Liao

CoRR, 2019

A Hierarchical Neural Hybrid Method for Failure Probability Estimation.

Ke Li, Kejun Tang, Jinglai Li, Tianfan Wu, Qifeng Liao

IEEE Access, 2019

2016

Reduced basis ANOVA methods for partial differential equations with high-dimensional random inputs.

Qifeng Liao, Guang Lin

J. Comput. Phys., 2016

2015

A Domain Decomposition Approach for Uncertainty Analysis.

Qifeng Liao, Karen Willcox

SIAM J. Sci. Comput., 2015

2013

Reduced Basis Collocation Methods for Partial Differential Equations with Random Coefficients.

Howard C. Elman, Qifeng Liao

SIAM/ASA J. Uncertain. Quantification, 2013