Liang Yan

29 papers Journal 29
YearRankTypeTitle / Venue / Authors
2026 J jnl
Data-driven operator inference for parameter estimation in nonlinear partial differential equations.
J. Comput. Phys.
Yanyan Wang, Liang Yan
2025 J jnl
Deep learning-enhanced reduced-order ensemble Kalman filter for efficient Bayesian data assimilation of parametric PDEs.
Comput. Phys. Commun.
Yanyan Wang, Liang Yan, Tao Zhou
2025 J jnl
Physics-Aware Deep Learning Framework for the Limited Aperture Inverse Obstacle Scattering Problem.
SIAM J. Sci. Comput.
Yunwen Yin, Liang Yan
2025 J jnl
TDDM: A transfer learning framework for physics-guided 3D acoustic scattering inversion.
J. Comput. Phys.
Yunwen Yin, Liang Yan
2024 J jnl
Adaptive Operator Learning for Infinite-Dimensional Bayesian Inverse Problems.
SIAM/ASA J. Uncertain. Quantification
Zhiwei Gao, Liang Yan, Tao Zhou
2024 J jnl
Inverse elastic scattering by random periodic structures.
J. Comput. Phys.
Hao Gu, Xiang Xu, Liang Yan
2023 J jnl
Adaptive operator learning for infinite-dimensional Bayesian inverse problems.
CoRR
Zhiwei Gao, Liang Yan, Tao Zhou
2023 J jnl
Failure-Informed Adaptive Sampling for PINNs.
SIAM J. Sci. Comput.
Zhiwei Gao, Liang Yan, Tao Zhou
2023 J jnl
Failure-informed adaptive sampling for PINNs, Part II: combining with re-sampling and subset simulation.
CoRR
Zhiwei Gao, Tao Tang, Liang Yan, Tao Zhou
2023 J jnl
Surrogate modeling for Bayesian inverse problems based on physics-informed neural networks.
J. Comput. Phys.
Yongchao Li, Yanyan Wang, Liang Yan
2022 J jnl
Failure-informed adaptive sampling for PINNs.
CoRR
Zhiwei Gao, Liang Yan, Tao Zhou
2021 J jnl
An acceleration strategy for randomize-then-optimize sampling via deep neural networks.
CoRR
Liang Yan, Tao Zhou
2021 J jnl
Gradient-free Stein variational gradient descent with kernel approximation.
Appl. Math. Lett.
Liang Yan, Xiling Zou
2021 J jnl
Optimal design for kernel interpolation: Applications to uncertainty quantification.
J. Comput. Phys.
Akil Narayan, Liang Yan, Tao Zhou
2021 J jnl
Optimal design for kernel interpolation: applications to uncertainty quantification.
CoRR
Akil Narayan, Liang Yan, Tao Zhou
2021 J jnl
Stein variational gradient descent with local approximations.
CoRR
Liang Yan, Tao Zhou
2019 J jnl
Adaptive multi-fidelity polynomial chaos approach to Bayesian inference in inverse problems.
J. Comput. Phys.
Liang Yan, Tao Zhou
2019 J jnl
An adaptive surrogate modeling based on deep neural networks for large-scale Bayesian inverse problems.
CoRR
Liang Yan, Tao Zhou
2018 J jnl
Doubly stochastic radial basis function methods.
J. Comput. Phys.
Fenglian Yang, Liang Yan, Leevan Ling
2018 J jnl
Weighted Approximate Fekete Points: Sampling for Least-Squares Polynomial Approximation.
SIAM J. Sci. Comput.
Ling Guo, Akil Narayan, Liang Yan, Tao Zhou
2017 J jnl
Sparse Approximation using ℓ
SIAM J. Sci. Comput.
Liang Yan, Yeonjong Shin, Dongbin Xiu
2015 J jnl
Stochastic Collocation Algorithms Using l
SIAM J. Sci. Comput.
Liang Yan, Ling Guo
2015 J jnl
The method of approximate particular solutions for the time-fractional diffusion equation with a non-local boundary condition.
Comput. Math. Appl.
Liang Yan, Fenglian Yang
2014 J jnl
Efficient Kansa-type MFS algorithm for time-fractional inverse diffusion problems.
Comput. Math. Appl.
Liang Yan, Fenglian Yang
2013 J jnl
On the interface identification of free boundary problem by method of fundamental solution.
Numer. Linear Algebra Appl.
Haifeng Zhao, Liang Yan, Jijun Liu
2011 J jnl
Approximate inverse method for stable analytic continuation in a strip domain.
J. Comput. Appl. Math.
Yuan-Xiang Zhang, Chu-Li Fu, Liang Yan
2009 J jnl
A Bayesian inference approach to identify a Robin coefficient in one-dimensional parabolic problems.
J. Comput. Appl. Math.
Liang Yan, Fenglian Yang, Chu-Li Fu
2009 J jnl
A meshless method for solving an inverse spacewise-dependent heat source problem.
J. Comput. Phys.
Liang Yan, Fenglian Yang, Chu-Li Fu
2009 J jnl
Reconstruction of the corrosion boundary for the Laplace equation by using a boundary collocation method.
Math. Comput. Simul.
Fenglian Yang, Liang Yan, Ting Wei