Zhongqiang Zhang
Orcid: 0000-0001-8032-7510
According to our database1,
Zhongqiang Zhang
authored at least 63 papers
between 2010 and 2025.
Collaborative distances:
Collaborative distances:
Timeline
2010
2012
2014
2016
2018
2020
2022
2024
0
5
10
15
20
1
1
14
1
4
9
6
3
1
3
5
2
3
2
1
4
2
1
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
Bibliography
2025
Appl. Math. Comput., 2025
2024
A Convex Optimization Method to Time-Optimal Trajectory Planning With Jerk Constraint for Industrial Robotic Manipulators.
IEEE Trans Autom. Sci. Eng., October, 2024
Inf., June, 2024
Collocation methods for integral fractional Laplacian and fractional PDEs based on radial basis functions.
Appl. Math. Comput., May, 2024
Spectral-Spatial Domain Attention Network for Hyperspectral Image Few-Shot Classification.
Remote. Sens., February, 2024
Fractional-order dependent Radial basis functions meshless methods for the integral fractional Laplacian.
CoRR, 2024
On one-step numerical schemes of weak convergence for SDEs with super-linear coefficients.
CoRR, 2024
Tackling the Curse of Dimensionality in Fractional and Tempered Fractional PDEs with Physics-Informed Neural Networks.
CoRR, 2024
Score-fPINN: Fractional Score-Based Physics-Informed Neural Networks for High-Dimensional Fokker-Planck-Levy Equations.
CoRR, 2024
A simple and fast finite difference method for the integral fractional Laplacian of variable order.
CoRR, 2024
Transformers as Neural Operators for Solutions of Differential Equations with Finite Regularity.
CoRR, 2024
CoRR, 2024
Score-Based Physics-Informed Neural Networks for High-Dimensional Fokker-Planck Equations.
CoRR, 2024
Peridynamic Neural Operators: A Data-Driven Nonlocal Constitutive Model for Complex Material Responses.
CoRR, 2024
Mix background and foreground separately: Transformer-based Augmentation Strategies for Domain Generalization.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2024
Proceedings of the IEEE International Conference on Multimedia and Expo, 2024
COPHTC: Contrastive Learning with Prompt Tuning for Hierarchical Text Classification.
Proceedings of the IEEE International Conference on Acoustics, 2024
NER-guided Comprehensive Hierarchy-aware Prompt Tuning for Hierarchical Text Classification.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024
2023
Knowl. Based Syst., November, 2023
Proceedings of the Neural Information Processing - 30th International Conference, 2023
Proceedings of the IEEE International Conference on Data Mining, 2023
2022
S³Net: Spectral-Spatial-Semantic Network for Hyperspectral Image Classification With the Multiway Attention Mechanism.
IEEE Trans. Geosci. Remote. Sens., 2022
Approximation rates of DeepONets for learning operators arising from advection-diffusion equations.
Neural Networks, 2022
Optimal Strong Convergence of Finite Element Methods for One-Dimensional Stochastic Elliptic Equations with Fractional Noise.
J. Sci. Comput., 2022
CoRR, 2022
2021
Learning nonlinear operators via DeepONet based on the universal approximation theorem of operators.
Nat. Mach. Intell., 2021
Sharp error estimates of a spectral Galerkin method for a diffusion-reaction equation with integral fractional Laplacian on a disk.
Math. Comput., 2021
A Supply Chain Information Pushing Method for Logistics Park Based on Internet of Things Technology.
Mob. Inf. Syst., 2021
Numerical Approximation of Optimal Convergence for Fractional Elliptic Equations with Additive Fractional Gaussian Noise.
SIAM/ASA J. Uncertain. Quantification, 2021
Fractional centered difference scheme for high-dimensional integral fractional Laplacian.
J. Comput. Phys., 2021
A spectral Galerkin approximation of optimal control problem governed by fractional advection-diffusion-reaction equations.
J. Comput. Appl. Math., 2021
Convergence rate of DeepONets for learning operators arising from advection-diffusion equations.
CoRR, 2021
2020
Optimal Regularity and Error Estimates of a Spectral Galerkin Method for Fractional Advection-Diffusion-Reaction Equations.
SIAM J. Numer. Anal., 2020
J. Intell. Robotic Syst., 2020
CoRR, 2020
CoRR, 2020
Appl. Math. Lett., 2020
Error estimates of a spectral Petrov-Galerkin method for two-sided fractional reaction-diffusion equations.
Appl. Math. Comput., 2020
2019
Error Estimates of Spectral Galerkin Methods for a Linear Fractional Reaction-Diffusion Equation.
J. Sci. Comput., 2019
Variational Physics-Informed Neural Networks For Solving Partial Differential Equations.
CoRR, 2019
2018
Dynamic Space-Time Model for Syndromic Surveillance with Particle Filters and Dirichlet Process.
Proceedings of the Handbook of Dynamic Data Driven Applications Systems., 2018
2017
Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017
2016
Implicit-Explicit Difference Schemes for Nonlinear Fractional Differential Equations with Nonsmooth Solutions.
SIAM J. Sci. Comput., 2016
Strong and weak convergence order of finite element methods for stochastic PDEs with spatial white noise.
Numerische Mathematik, 2016
Fast difference schemes for solving high-dimensional time-fractional subdiffusion equations.
J. Comput. Phys., 2016
2015
A Generalized Spectral Collocation Method with Tunable Accuracy for Variable-Order Fractional Differential Equations.
SIAM J. Sci. Comput., 2015
SIAM J. Sci. Comput., 2015
Numerical Methods for Stochastic Delay Differential Equations Via the Wong-Zakai Approximation.
SIAM J. Sci. Comput., 2015
Optimal Error Estimates of Spectral Petrov-Galerkin and Collocation Methods for Initial Value Problems of Fractional Differential Equations.
SIAM J. Numer. Anal., 2015
Wiener Chaos Versus Stochastic Collocation Methods for Linear Advection-Diffusion-Reaction Equations with Multiplicative White Noise.
SIAM J. Numer. Anal., 2015
2014
A Recursive Sparse Grid Collocation Method for Differential Equations with White Noise.
SIAM J. Sci. Comput., 2014
SIAM J. Sci. Comput., 2014
2013
A Fundamental Mean-Square Convergence Theorem for SDEs with Locally Lipschitz Coefficients and Its Applications.
SIAM J. Numer. Anal., 2013
Numerical solution of the Stratonovich- and Ito-Euler equations: Application to the stochastic piston problem.
J. Comput. Phys., 2013
On exponential mean-square stability of two-step Maruyama methods for stochastic delay differential equations.
J. Comput. Appl. Math., 2013
2012
A Multistage Wiener Chaos Expansion Method for Stochastic Advection-Diffusion-Reaction Equations.
SIAM J. Sci. Comput., 2012
Error Estimates for the ANOVA Method with Polynomial Chaos Interpolation: Tensor Product Functions.
SIAM J. Sci. Comput., 2012
2010
Optimal Error Estimates of the Legendre Tau Method for Second-Order Differential Equations.
J. Sci. Comput., 2010