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Xiaoliang Wan
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2020 – today
- 2024
- [j19]Xili Wang, Kejun Tang, Jiayu Zhai, Xiaoliang Wan, Chao Yang:
Deep Adaptive Sampling for Surrogate Modeling Without Labeled Data. J. Sci. Comput. 101(3): 77 (2024) - [c1]Kejun Tang, Jiayu Zhai, Xiaoliang Wan, Chao Yang:
Adversarial Adaptive Sampling: Unify PINN and Optimal Transport for the Approximation of PDEs. ICLR 2024 - [i13]Xili Wang, Kejun Tang, Jiayu Zhai, Xiaoliang Wan, Chao Yang:
Deep adaptive sampling for surrogate modeling without labeled data. CoRR abs/2402.11283 (2024) - [i12]Junjie He, Qifeng Liao, Xiaoliang Wan:
Adaptive deep density approximation for stochastic dynamical systems. CoRR abs/2405.02810 (2024) - [i11]Xiaodong Feng, Haojiong Shangguan, Tao Tang, Xiaoliang Wan, Tao Zhou:
A hybrid FEM-PINN method for time-dependent partial differential equations. CoRR abs/2409.02810 (2024) - 2023
- [j18]Kejun Tang, Xiaoliang Wan, Chao Yang:
DAS-PINNs: A deep adaptive sampling method for solving high-dimensional partial differential equations. J. Comput. Phys. 476: 111868 (2023) - [j17]Li Zeng, Xiaoliang Wan, Tao Zhou:
Adaptive Deep Density Approximation for Fractional Fokker-Planck Equations. J. Sci. Comput. 97(3) (2023) - [i10]Yani Feng, Kejun Tang, Xiaoliang Wan, Qifeng Liao:
Dimension-reduced KRnet maps for high-dimensional Bayesian inverse problems. CoRR abs/2303.00573 (2023) - [i9]Li Zeng, Xiaoliang Wan, Tao Zhou:
Bounded KRnet and its applications to density estimation and approximation. CoRR abs/2305.09063 (2023) - [i8]Kejun Tang, Jiayu Zhai, Xiaoliang Wan, Chao Yang:
Adversarial Adaptive Sampling: Unify PINN and Optimal Transport for the Approximation of PDEs. CoRR abs/2305.18702 (2023) - [i7]Xiaoliang Wan, Tao Zhou, Yuancheng Zhou:
Adaptive importance sampling for Deep Ritz. CoRR abs/2310.17185 (2023) - 2022
- [j16]Kejun Tang, Xiaoliang Wan, Qifeng Liao:
Adaptive deep density approximation for Fokker-Planck equations. J. Comput. Phys. 457: 111080 (2022) - [i6]Li Zeng, Xiaoliang Wan, Tao Zhou:
Adaptive deep density approximation for fractional Fokker-Planck equations. CoRR abs/2210.14402 (2022) - 2021
- [j15]Xiaoliang Wan, Jiayu Zhai:
A Minimum Action Method for Dynamical Systems with Constant Time Delays. SIAM J. Sci. Comput. 43(1): A541-A565 (2021) - [i5]Kejun Tang, Xiaoliang Wan, Qifeng Liao:
Adaptive deep density approximation for Fokker-Planck equations. CoRR abs/2103.11181 (2021) - [i4]Xiaoliang Wan, Kejun Tang:
Augmented KRnet for density estimation and approximation. CoRR abs/2105.12866 (2021) - [i3]Kejun Tang, Xiaoliang Wan, Chao Yang:
DAS: A deep adaptive sampling method for solving partial differential equations. CoRR abs/2112.14038 (2021) - 2020
- [j14]Xiaoliang Wan, Shuangqing Wei:
Coupling the reduced-order model and the generative model for an importance sampling estimator. J. Comput. Phys. 408: 109281 (2020) - [i2]Xiaoliang Wan, Shuangqing Wei:
VAE-KRnet and its applications to variational Bayes. CoRR abs/2006.16431 (2020)
2010 – 2019
- 2019
- [i1]Xiaoliang Wan, Shuangqing Wei:
Coupling the reduced-order model and the generative model for an importance sampling estimator. CoRR abs/1901.07977 (2019) - 2018
- [j13]Xiaoliang Wan, Haijun Yu, Jiayu Zhai:
Convergence Analysis of a Finite Element Approximation of Minimum Action Methods. SIAM J. Numer. Anal. 56(3): 1597-1620 (2018) - [j12]Xiaoliang Wan, Xiang Zhou:
Asymptotically Efficient Simulation of Elliptic Problems with Small Random Forcing. SIAM J. Sci. Comput. 40(1) (2018) - 2017
- [j11]Xiaoliang Wan, Haijun Yu:
A dynamic-solver-consistent minimum action method: With an application to 2D Navier-Stokes equations. J. Comput. Phys. 331: 209-226 (2017) - 2013
- [j10]Xiaoliang Wan:
A minimum action method for small random perturbations of two-dimensional parallel shear flows. J. Comput. Phys. 235: 497-514 (2013) - [j9]Xiaoliang Wan, Guang Lin:
Hybrid parallel computing of minimum action method. Parallel Comput. 39(10): 638-651 (2013) - [j8]Xiaoliang Wan, Boris L. Rozovskii:
The Wick-Malliavin Approximation of Elliptic Problems with Log-Normal Random Coefficients. SIAM J. Sci. Comput. 35(5) (2013) - 2011
- [j7]Xiaoliang Wan:
An adaptive high-order minimum action method. J. Comput. Phys. 230(24): 8669-8682 (2011)
2000 – 2009
- 2008
- [j6]Jasmine Foo, Xiaoliang Wan, George E. Karniadakis:
The multi-element probabilistic collocation method (ME-PCM): Error analysis and applications. J. Comput. Phys. 227(22): 9572-9595 (2008) - 2007
- [j5]Guang Lin, Xiaoliang Wan, Chau-Hsing Su, George E. Karniadakis:
Stochastic Computational Fluid Mechanics. Comput. Sci. Eng. 9(2): 21-29 (2007) - 2006
- [j4]Xiaoliang Wan, George E. Karniadakis:
A sharp error estimate for the fast Gauss transform. J. Comput. Phys. 219(1): 7-12 (2006) - [j3]Xiaoliang Wan, George E. Karniadakis:
Beyond Wiener-Askey Expansions: Handling Arbitrary PDFs. J. Sci. Comput. 27(1-3): 455-464 (2006) - [j2]Xiaoliang Wan, George E. Karniadakis:
Multi-Element Generalized Polynomial Chaos for Arbitrary Probability Measures. SIAM J. Sci. Comput. 28(3): 901-928 (2006) - 2004
- [j1]Xiaoliang Wan, Dongbin Xiu, George E. Karniadakis:
Stochastic Solutions for the Two-Dimensional Advection-Diffusion Equation. SIAM J. Sci. Comput. 26(2): 578-590 (2004)
Coauthor Index
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last updated on 2024-11-19 21:45 CET by the dblp team
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