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ORCIDLiang Yan 0002
Person information
- affiliation: Southeast University, Department of Mathematics, Nanjing, China
- affiliation (former): Lanzhou University, School of Mathematics and Statistics, China
Other persons with the same name
- Liang Yan — disambiguation page
- Liang Yan 0001
![[0000-0001-9099-240X]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0001-9099-240X")
— Beihang University, School of Automation Science and Electrical Engineering, Beijing, China (and 1 more) - Liang Yan 0003 — National University of Defense Technology, College of Liberal Arts and Sciences, Changsha, China
- Liang Yan 0004 — Beijing Institute of Technology, Department of Information and Electronics, China
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2020 – today
- 2024
[j17]Hao Gu, Xiang Xu, Liang Yan:
Inverse elastic scattering by random periodic structures. J. Comput. Phys. 501: 112785 (2024)- 2023
- [j16]Yongchao Li, Yanyan Wang, Liang Yan:
Surrogate modeling for Bayesian inverse problems based on physics-informed neural networks. J. Comput. Phys. 475: 111841 (2023) - [j15]Zhiwei Gao, Liang Yan, Tao Zhou:
Failure-Informed Adaptive Sampling for PINNs. SIAM J. Sci. Comput. 45(4): 1971- (2023) - [i7]Zhiwei Gao, Tao Tang, Liang Yan, Tao Zhou:
Failure-informed adaptive sampling for PINNs, Part II: combining with re-sampling and subset simulation. CoRR abs/2302.01529 (2023) - [i6]Zhiwei Gao, Liang Yan, Tao Zhou:
Adaptive operator learning for infinite-dimensional Bayesian inverse problems. CoRR abs/2310.17844 (2023) - 2022
- [i5]Zhiwei Gao, Liang Yan, Tao Zhou:
Failure-informed adaptive sampling for PINNs. CoRR abs/2210.00279 (2022) - 2021
- [j14]Liang Yan, Xiling Zou:
Gradient-free Stein variational gradient descent with kernel approximation. Appl. Math. Lett. 121: 107465 (2021) - [j13]Akil Narayan, Liang Yan, Tao Zhou:
Optimal design for kernel interpolation: Applications to uncertainty quantification. J. Comput. Phys. 430: 110094 (2021) - [i4]Liang Yan, Tao Zhou:
Stein variational gradient descent with local approximations. CoRR abs/2104.06276 (2021) - [i3]Liang Yan, Tao Zhou:
An acceleration strategy for randomize-then-optimize sampling via deep neural networks. CoRR abs/2104.06285 (2021) - [i2]Akil Narayan, Liang Yan, Tao Zhou:
Optimal design for kernel interpolation: applications to uncertainty quantification. CoRR abs/2104.06291 (2021)
2010 – 2019
- 2019
- [j12]Liang Yan, Tao Zhou:
Adaptive multi-fidelity polynomial chaos approach to Bayesian inference in inverse problems. J. Comput. Phys. 381: 110-128 (2019) - [i1]Liang Yan, Tao Zhou:
An adaptive surrogate modeling based on deep neural networks for large-scale Bayesian inverse problems. CoRR abs/1911.08926 (2019) - 2018
- [j11]Fenglian Yang, Liang Yan, Leevan Ling:
Doubly stochastic radial basis function methods. J. Comput. Phys. 363: 87-97 (2018) - [j10]Ling Guo, Akil Narayan, Liang Yan, Tao Zhou:
Weighted Approximate Fekete Points: Sampling for Least-Squares Polynomial Approximation. SIAM J. Sci. Comput. 40(1) (2018) - 2017
- [j9]Liang Yan, Yeonjong Shin, Dongbin Xiu:
Sparse Approximation using ℓ1-ℓ2 Minimization and Its Application to Stochastic Collocation. SIAM J. Sci. Comput. 39(1) (2017) - 2015
- [j8]Liang Yan, Fenglian Yang:
The method of approximate particular solutions for the time-fractional diffusion equation with a non-local boundary condition. Comput. Math. Appl. 70(3): 254-264 (2015) - [j7]Liang Yan, Ling Guo:
Stochastic Collocation Algorithms Using l1-Minimization for Bayesian Solution of Inverse Problems. SIAM J. Sci. Comput. 37(3) (2015) - 2014
- [j6]Liang Yan, Fenglian Yang:
Efficient Kansa-type MFS algorithm for time-fractional inverse diffusion problems. Comput. Math. Appl. 67(8): 1507-1520 (2014) - 2013
- [j5]Haifeng Zhao, Liang Yan, Jijun Liu:
On the interface identification of free boundary problem by method of fundamental solution. Numer. Linear Algebra Appl. 20(2): 385-396 (2013) - 2011
- [j4]Yuan-Xiang Zhang, Chu-Li Fu, Liang Yan:
Approximate inverse method for stable analytic continuation in a strip domain. J. Comput. Appl. Math. 235(9): 2979-2992 (2011)
2000 – 2009
- 2009
- [j3]Liang Yan, Fenglian Yang, Chu-Li Fu:
A Bayesian inference approach to identify a Robin coefficient in one-dimensional parabolic problems. J. Comput. Appl. Math. 231(2): 840-850 (2009) - [j2]Liang Yan, Fenglian Yang, Chu-Li Fu:
A meshless method for solving an inverse spacewise-dependent heat source problem. J. Comput. Phys. 228(1): 123-136 (2009) - [j1]Fenglian Yang, Liang Yan, Ting Wei:
Reconstruction of the corrosion boundary for the Laplace equation by using a boundary collocation method. Math. Comput. Simul. 79(7): 2148-2156 (2009)
Coauthor Index
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