Qifeng Liao

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 31

Top Topics

Decomposition Method

Adaptive Learning

Information Gain

Inverse Problems

Top Venues

J. Comput. Phys.

Publications

Guanjie Wang, Qifeng Liao
Reduced basis stochastic Galerkin methods for partial differential equations with random inputs. Appl. Math. Comput. 463 (2024)
Guanjie Wang, Smita Sahu, Qifeng Liao
An Adaptive ANOVA Stochastic Galerkin Method for Partial Differential Equations with High-dimensional Random Inputs. J. Sci. Comput. 98 (1) (2024)
Junjie He, Qifeng Liao, Xiaoliang Wan
Adaptive deep density approximation for stochastic dynamical systems. CoRR (2024)
Zhihang Xu, Qifeng Liao, Jinglai Li
Domain-decomposed Bayesian inversion based on local Karhunen-Loève expansions. J. Comput. Phys. 504 (2024)
Yingzhi Xia, Qifeng Liao, Jinglai Li
VI-DGP: A variational inference method with deep generative prior for solving high-dimensional inverse problems. CoRR (2023)
Yunyu Huang, Yani Feng, Qifeng Liao
Streaming probabilistic tensor train decomposition. CoRR (2023)
Guanjie Wang, Smita Sahu, Qifeng Liao
An adaptive ANOVA stochastic Galerkin method for partial differential equations with random inputs. CoRR (2023)
Yani Feng, Qifeng Liao, David J. Silvester
Robin-type domain decomposition with stabilized mixed approximation for incompressible flow. Comput. Math. Appl. 147 (2023)
Sen Li, Yingzhi Xia, Yu Liu, Qifeng Liao
A deep domain decomposition method based on Fourier features. J. Comput. Appl. Math. 423 (2023)
Siqi Liu, Xiaoyu Shi, Qifeng Liao
Rank-Adaptive Tensor Completion Based on Tucker Decomposition. Entropy 25 (2) (2023)
Yingzhi Xia, Qifeng Liao, Jinglai Li
VI-DGP: A Variational Inference Method with Deep Generative Prior for Solving High-Dimensional Inverse Problems. J. Sci. Comput. 97 (1) (2023)
Yani Feng, Kejun Tang, Xiaoliang Wan, Qifeng Liao
Dimension-reduced KRnet maps for high-dimensional inverse problems. CoRR (2023)
Zhihang Xu, Yingzhi Xia, Qifeng Liao
A domain-decomposed VAE method for Bayesian inverse problems. CoRR (2023)
Daheng Cai, Chengbin Yao, Qifeng Liao
A Stochastic Discrete Empirical Interpolation Approach for Parameterized Systems. Symmetry 14 (3) (2022)
Zhihang Xu, Qifeng Liao, Jinglai Li
Domain-decomposed Bayesian inversion based on local Karhunen-Loève expansions. CoRR (2022)
Sen Li, Yingzhi Xia, Yu Liu, Qifeng Liao
A deep domain decomposition method based on Fourier features. CoRR (2022)
Guanjie Wang, Qifeng Liao
Reduced basis stochastic Galerkin methods for partial differential equations with random inputs. CoRR (2022)
Kejun Tang, Xiaoliang Wan, Qifeng Liao
Adaptive deep density approximation for Fokker-Planck equations. J. Comput. Phys. 457 (2022)
Junjie He, Zhihang Xu, Qifeng Liao
Deep neural network based adaptive learning for switched systems. CoRR (2022)
Kejun Tang, Xiaoliang Wan, Qifeng Liao
Adaptive deep density approximation for Fokker-Planck equations. CoRR (2021)
Chen Chen, Qifeng Liao
ANOVA Gaussian process modeling for high-dimensional stochastic computational models. J. Comput. Phys. 416 (2020)
Kejun Tang, Qifeng Liao
Rank adaptive tensor recovery based model reduction for partial differential equations with high-dimensional random inputs. J. Comput. Phys. 409 (2020)
Yani Feng, Kejun Tang, Lianxing He, Pingqiang Zhou, Qifeng Liao
Tensor Train Random Projection. CoRR (2020)
Ke Li, Kejun Tang, Tianfan Wu, Qifeng Liao
D3M: A Deep Domain Decomposition Method for Partial Differential Equations. IEEE Access 8 (2020)
Zhihang Xu, Qifeng Liao
Gaussian Process Based Expected Information Gain Computation for Bayesian Optimal Design. Entropy 22 (2) (2020)
Ke Li, Kejun Tang, Jinglai Li, Tianfan Wu, Qifeng Liao
A Hierarchical Neural Hybrid Method for Failure Probability Estimation. IEEE Access 7 (2019)
Ke Li, Kejun Tang, Jinglai Li, Tianfan Wu, Qifeng Liao
A hierarchical neural hybrid method for failure probability estimation. CoRR (2019)
Ke Li, Kejun Tang, Tianfan Wu, Qifeng Liao
D3M: A deep domain decomposition method for partial differential equations. CoRR (2019)
Chen Chen, Qifeng Liao
ANOVA Gaussian process modeling for high-dimensional stochastic computational models. CoRR (2019)
Qifeng Liao, Jinglai Li
An adaptive reduced basis ANOVA method for high-dimensional Bayesian inverse problems. J. Comput. Phys. 396 (2019)
Qifeng Liao, Guang Lin
Reduced basis ANOVA methods for partial differential equations with high-dimensional random inputs. J. Comput. Phys. 317 (2016)
Qifeng Liao, Karen Willcox
A Domain Decomposition Approach for Uncertainty Analysis. SIAM J. Sci. Comput. 37 (1) (2015)
Howard C. Elman, Qifeng Liao
Reduced Basis Collocation Methods for Partial Differential Equations with Random Coefficients. SIAM/ASA J. Uncertain. Quantification 1 (1) (2013)