Zhongqiang Zhang

Zhongqiang Zhang

Worcester Polytechnic Institute

H-index: 23

North America-United States

About Zhongqiang Zhang

Zhongqiang Zhang, With an exceptional h-index of 23 and a recent h-index of 21 (since 2020), a distinguished researcher at Worcester Polytechnic Institute, specializes in the field of numerical analysis, uncertainty quantification, fractional calculus.

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

Collocation methods for integral fractional Laplacian and fractional PDEs based on radial basis functions

Tensor neural networks for high-dimensional Fokker-Planck equations

L1 Schemes for time-fractional differential equations: A brief survey and new development

Two-scale Neural Networks for Partial Differential Equations with Small Parameters

Score-Based Physics-Informed Neural Networks for High-Dimensional Fokker-Planck Equations

Weak error analysis for strong approximation schemes of SDEs with super-linear coefficients

A modified walk‐on‐sphere method for high dimensional fractional Poisson equation

Strong 1.5 order scheme for second-order stochastic differential equations without Levy area

Zhongqiang Zhang Information

University

Position

___

Citations(all)

3486

Citations(since 2020)

3092

Cited By

909

hIndex(all)

23

hIndex(since 2020)

21

i10Index(all)

37

i10Index(since 2020)

29

Email

University Profile Page

Google Scholar

Zhongqiang Zhang Skills & Research Interests

numerical analysis

uncertainty quantification

fractional calculus

Top articles of Zhongqiang Zhang

Title

Journal

Author(s)

Publication Date

Collocation methods for integral fractional Laplacian and fractional PDEs based on radial basis functions

Applied Mathematics and Computation

Qiao Zhuang

Alfa Heryudono

Fanhai Zeng

Zhongqiang Zhang

2024/5/15

Tensor neural networks for high-dimensional Fokker-Planck equations

arXiv preprint arXiv:2404.05615

Taorui Wang

Zheyuan Hu

Kenji Kawaguchi

Zhongqiang Zhang

George Em Karniadakis

2024/4/8

L1 Schemes for time-fractional differential equations: A brief survey and new development

Jingjing Xiao

Yanping Chen

Fanhai Zeng

Zhongqiang Zhang

2024/3/21

Two-scale Neural Networks for Partial Differential Equations with Small Parameters

arXiv preprint arXiv:2402.17232

Qiao Zhuang

Chris Ziyi Yao

Zhongqiang Zhang

George Em Karniadakis

2024/2/27

Score-Based Physics-Informed Neural Networks for High-Dimensional Fokker-Planck Equations

arXiv preprint arXiv:2402.07465

Zheyuan Hu

Zhongqiang Zhang

George Em Karniadakis

Kenji Kawaguchi

2024/1/16

Weak error analysis for strong approximation schemes of SDEs with super-linear coefficients

IMA Journal of Numerical Analysis

Xiaojie Wang

Yuying Zhao

Zhongqiang Zhang

2023/9

A modified walk‐on‐sphere method for high dimensional fractional Poisson equation

Numerical Methods for Partial Differential Equations

Caiyu Jiao

Changpin Li

Hexiang Wang

Zhongqiang Zhang

2023/3

Strong 1.5 order scheme for second-order stochastic differential equations without Levy area

Applied Numerical Mathematics

Yufen Liu

Wanrong Cao

Zhongqiang Zhang

2023/2/1

Error estimates of residual minimization using neural networks for linear PDEs

Journal of Machine Learning for Modeling and Computing

Yeonjong Shin

Zhongqiang Zhang

George Em Karniadakis

2023

Optimal strong convergence of finite element methods for one-dimensional stochastic elliptic equations with fractional noise

Journal of Scientific Computing

Wanrong Cao

Zhaopeng Hao

Zhongqiang Zhang

2022/4

A comprehensive and fair comparison of two neural operators (with practical extensions) based on fair data

Computer Methods in Applied Mechanics and Engineering

Lu Lu

Xuhui Meng

Shengze Cai

Zhiping Mao

Somdatta Goswami

...

2022/4/1

Radial basis methods for integral fractional laplacian using arbitrary radial functions

Available at SSRN 4283586

Qiao Zhuang

Alfa Heryudono

Fanhai Zeng

Zhongqiang Zhang

2022/11/22

Approximation rates of DeepONets for learning operators arising from advection–diffusion equations

Neural Networks

Beichuan Deng

Yeonjong Shin

Lu Lu

Zhongqiang Zhang

George Em Karniadakis

2022/9/1

A spectral Galerkin approximation of optimal control problem governed by fractional advection–diffusion–reaction equations

Journal of Computational and Applied Mathematics

Fangyuan Wang

Zhongqiang Zhang

Zhaojie Zhou

2021/4/1

Fractional centered difference scheme for high-dimensional integral fractional Laplacian

Journal of Computational Physics

Zhaopeng Hao

Zhongqiang Zhang

Rui Du

2021/1/1

Learning nonlinear operators via DeepONet based on the universal approximation theorem of operators

Nature Machine Intelligence

Lu Lu

Pengzhan Jin

Guofei Pang

Zhongqiang Zhang

George Em Karniadakis

2021/3

Convergence rate of DeepONets for learning operators arising from advection-diffusion equations

arXiv preprint arXiv:2102.10621

Beichuan Deng

Yeonjong Shin

Lu Lu

Zhongqiang Zhang

George Em Karniadakis

2021/2/21

hp-VPINNs: Variational physics-informed neural networks with domain decomposition

Computer Methods in Applied Mechanics and Engineering

Ehsan Kharazmi

Zhongqiang Zhang

George Em Karniadakis

2021/2/1

Sharp error estimates of a spectral Galerkin method for a diffusion-reaction equation with integral fractional Laplacian on a disk

Mathematics of Computation

Zhaopeng Hao

Huiyuan Li

Zhimin Zhang

Zhongqiang Zhang

2021/9

Numerical approximation of optimal convergence for fractional elliptic equations with additive fractional Gaussian noise

SIAM/ASA Journal on Uncertainty Quantification

Zhaopeng Hao

Zhongqiang Zhang

2021

See List of Professors in Zhongqiang Zhang University(Worcester Polytechnic Institute)

Co-Authors

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