Xiaoliang Wan

Xiaoliang Wan

Louisiana State University

H-index: 22

North America-United States

About Xiaoliang Wan

Xiaoliang Wan, With an exceptional h-index of 22 and a recent h-index of 14 (since 2020), a distinguished researcher at Louisiana State University, specializes in the field of Applied and Computational Mathematics.

His recent articles reflect a diverse array of research interests and contributions to the field:

Adversarial Adaptive Sampling: Unify PINN and Optimal Transport for the Approximation of PDEs

Bounded KRnet and its applications to density estimation and approximation

DAS-PINNs: A deep adaptive sampling method for solving high-dimensional partial differential equations

Dimension-reduced KRnet maps for high-dimensional inverse problems

Adaptive deep density approximation for fractional Fokker-Planck equations

Exploring the use of machine learning to parameterize vertical mixing in the ocean surface boundary layer

Adaptive deep density approximation for Fokker-Planck equations

Augmented KRnet for density estimation and approximation

Xiaoliang Wan Information

University

Position

___

Citations(all)

2965

Citations(since 2020)

898

Cited By

2494

hIndex(all)

22

hIndex(since 2020)

14

i10Index(all)

35

i10Index(since 2020)

18

Email

University Profile Page

Google Scholar

Xiaoliang Wan Skills & Research Interests

Applied and Computational Mathematics

Top articles of Xiaoliang Wan

Adversarial Adaptive Sampling: Unify PINN and Optimal Transport for the Approximation of PDEs

arXiv preprint arXiv:2305.18702

2023/5/30

Bounded KRnet and its applications to density estimation and approximation

arXiv preprint arXiv:2305.09063

2023/5/15

Li Zeng
Li Zeng

H-Index: 2

Xiaoliang Wan
Xiaoliang Wan

H-Index: 13

Tao Zhou
Tao Zhou

H-Index: 7

DAS-PINNs: A deep adaptive sampling method for solving high-dimensional partial differential equations

Journal of Computational Physics

2023/3/1

Xiaoliang Wan
Xiaoliang Wan

H-Index: 13

Chao Yang
Chao Yang

H-Index: 9

Dimension-reduced KRnet maps for high-dimensional inverse problems

arXiv preprint arXiv:2303.00573

2023/3/1

Xiaoliang Wan
Xiaoliang Wan

H-Index: 13

Adaptive deep density approximation for fractional Fokker-Planck equations

arXiv preprint arXiv:2210.14402

2022/10/26

Li Zeng
Li Zeng

H-Index: 2

Xiaoliang Wan
Xiaoliang Wan

H-Index: 13

Tao Zhou
Tao Zhou

H-Index: 7

Exploring the use of machine learning to parameterize vertical mixing in the ocean surface boundary layer

Ocean Modelling

2022/8/1

Adaptive deep density approximation for Fokker-Planck equations

Journal of Computational Physics

2022/5/15

Xiaoliang Wan
Xiaoliang Wan

H-Index: 13

Augmented KRnet for density estimation and approximation

arXiv preprint arXiv:2105.12866

2021/5/26

Xiaoliang Wan
Xiaoliang Wan

H-Index: 13

DAS: A deep adaptive sampling method for solving partial differential equations

arXiv preprint arXiv:2112.14038

2021

Xiaoliang Wan
Xiaoliang Wan

H-Index: 13

Chao Yang
Chao Yang

H-Index: 9

A Minimum Action Method for Dynamical Systems with Constant Time Delays

SIAM Journal on Scientific Computing

2021

Xiaoliang Wan
Xiaoliang Wan

H-Index: 13

Jiayu Zhai
Jiayu Zhai

H-Index: 4

VAE-KRnet and its applications to variational Bayes

arXiv preprint arXiv:2006.16431

2020/6/29

Xiaoliang Wan
Xiaoliang Wan

H-Index: 13

Shuangqing Wei
Shuangqing Wei

H-Index: 11

Coupling the reduced-order model and the generative model for an importance sampling estimator

Journal of Computational Physics

2020/5/1

Xiaoliang Wan
Xiaoliang Wan

H-Index: 13

Shuangqing Wei
Shuangqing Wei

H-Index: 11

Deep density estimation via invertible block-triangular mapping

Theoretical and Applied Mechanics Letters

2020/3/1

Xiaoliang Wan
Xiaoliang Wan

H-Index: 13

See List of Professors in Xiaoliang Wan University(Louisiana State University)

Co-Authors

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