Zhiwen Zhang

Orcid: 0000-0002-3123-8885

Affiliations:
  • The University of Hong Kong, Hong Kong


According to our database1, Zhiwen Zhang authored at least 76 papers between 2008 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2026
A bidirectional DeepParticle method for efficiently solving low-dimensional transport map problems.
J. Comput. Phys., 2026

Neural network Poisson-Boltzmann electrostatics for biomolecular interactions.
J. Comput. Phys., 2026

A dynamic mode decomposition-based Kalman filter for Bayesian inverse problem of nonlinear dynamical systems.
J. Comput. Appl. Math., 2026

Pre-classification based stochastic reduced-order model for time-dependent complex system.
Comput. Math. Appl., 2026

2025
A Novel Model Reduction Method for Parabolic Inverse Problems Without Inverse Crime.
J. Sci. Comput., December, 2025

A fast stochastic interacting particle-field method for 3D parabolic parabolic Chemotaxis systems: numerical algorithms and error analysis.
CoRR, December, 2025

A Stochastic Genetic Interacting Particle Method for Reaction-Diffusion-Advection Equations.
CoRR, November, 2025

Quasi-Monte Carlo time-splitting methods for Schrödinger equation with Gaussian random potential.
CoRR, November, 2025

A DeepLagrangian method for learning and generating aggregation patterns in multi-dimensional Keller-Segel chemotaxis systems.
CoRR, October, 2025

Functional tensor train neural network for solving high-dimensional PDEs.
CoRR, October, 2025

Regularity estimate and sparse approximation of pathwise robust Duncan-Mortensen-Zakai equation.
CoRR, September, 2025

A quasi-Monte Carlo multiscale method for the wave propagation in random media.
CoRR, July, 2025

Numerical approximation of effective diffusivities in homogenization of nondivergence-form equations with large drift by a Lagrangian method.
CoRR, June, 2025

Adaptive Nonoverlapping Preconditioners for the Helmholtz Equation.
CoRR, May, 2025

Operator Inference for Elliptic Eigenvalue Problems.
CoRR, April, 2025

Convergence Analysis of a Stochastic Interacting Particle-Field Algorithm for 3D Parabolic-Parabolic Keller-Segel Systems.
CoRR, April, 2025

A Novel Stochastic Interacting Particle-Field Algorithm for 3D Parabolic-Parabolic Keller-Segel Chemotaxis System.
J. Sci. Comput., March, 2025

A model reduction method for solving the eigenvalue problem of semiclassical random Schrödinger operators.
CoRR, February, 2025

Efficient finite element methods for semiclassical nonlinear Schrödinger equations with random potentials.
CoRR, February, 2025

Computing Large Deviation Rate Functions of Entropy Production for Diffusion Processes by an Interacting Particle Method.
SIAM J. Sci. Comput., 2025

Finite Element Approximation of Stationary Fokker-Planck-Kolmogorov Equations with Application to Periodic Numerical Homogenization.
SIAM J. Numer. Anal., 2025

A Convergent Interacting Particle Method for Computing KPP Front Speeds in Random Flows.
SIAM/ASA J. Uncertain. Quantification, 2025

Discontinuous extreme learning machine for interface and free boundary problems.
J. Comput. Phys., 2025

2024
Randomized Methods for Computing Optimal Transport Without Regularization and Their Convergence Analysis.
J. Sci. Comput., August, 2024

Reduced-order model-based variational inference with normalizing flows for Bayesian elliptic inverse problems.
J. Comput. Appl. Math., May, 2024

Error Estimate of a Quasi-Monte Carlo Time-Splitting Pseudospectral Method for Nonlinear Schrödinger Equation with Random Potentials.
SIAM/ASA J. Uncertain. Quantification, March, 2024

A Filon-Clenshaw-Curtis-Smolyak rule for multi-dimensional oscillatory integrals with application to a UQ problem for the Helmholtz equation.
Math. Comput., 2024

Cointegration test in time series analysis by global optimisation.
CoRR, 2024

A Stochastic Interacting Particle-Field Algorithm for a Haptotaxis Advection-Diffusion System Modeling Cancer Cell Invasion.
CoRR, 2024

A novel model reduction method to solve inverse problems of parabolic type.
CoRR, 2024

A structure-preserving scheme for computing effective diffusivity and anomalous diffusion phenomena of random flows.
CoRR, 2024

Computing large deviation rate functions of entropy production for diffusion processes in the vanishing-noise limit and high dimensions by an interacting particle method.
CoRR, 2024

2023
A data-driven and model-based accelerated Hamiltonian Monte Carlo method for Bayesian elliptic inverse problems.
Stat. Comput., August, 2023

Solving Nonlinear Filtering Problems Using a Tensor Train Decomposition Method.
IEEE Trans. Autom. Control., July, 2023

A dynamically bi-orthogonal solution method for a stochastic Lighthill-Whitham-Richards traffic flow model.
Comput. Aided Civ. Infrastructure Eng., July, 2023

A data-driven model reduction method for parabolic inverse source problems and its convergence analysis.
J. Comput. Phys., 2023

Stochastic convergence of regularized solutions for backward heat conduction problems.
CoRR, 2023

2022
A Convergent Interacting Particle Method and Computation of KPP Front Speeds in Chaotic Flows.
SIAM J. Numer. Anal., 2022

Convergence Analysis of the Localized Orthogonal Decomposition Method for the Semiclassical Schrödinger Equations with Multiscale Potentials.
J. Sci. Comput., 2022

DeepParticle: Learning invariant measure by a deep neural network minimizing Wasserstein distance on data generated from an interacting particle method.
J. Comput. Phys., 2022

Deterministic-Statistical Approach for an Inverse Acoustic Source Problem using Multiple Frequency Limited Aperture Data.
CoRR, 2022

A variational neural network approach for glacier modelling with nonlinear rheology.
CoRR, 2022

A DeepParticle method for learning and generating aggregation patterns in multi-dimensional Keller-Segel chemotaxis systems.
CoRR, 2022

A Deep Learning Approach to Nonconvex Energy Minimization for Martensitic Phase Transitions.
CoRR, 2022

Pre-classification based stochastic reduced-order model for time-dependent complex system.
CoRR, 2022

2021
Error Estimates for a POD Method for Solving Viscous G-Equations in Incompressible Cellular Flows.
SIAM J. Sci. Comput., 2021

Sharp Error Estimates on a Stochastic Structure-Preserving Scheme in Computing Effective Diffusivity of 3D Chaotic Flows.
Multiscale Model. Simul., 2021

A second order accuracy preserving method for moving contact lines with Stokes flow.
J. Comput. Phys., 2021

Convergence analysis of an operator-compressed multiscale finite element method for Schrödinger equations with multiscale potentials.
CoRR, 2021

Convergence analysis of a Lagrangian numerical scheme in computing effective diffusivity of 3D time-dependent flows.
CoRR, 2021

2020
Proper Orthogonal Decomposition Method to Nonlinear Filtering Problems in Medium-High Dimension.
IEEE Trans. Autom. Control., 2020

Convergence Analysis of Stochastic Structure-Preserving Schemes for Computing Effective Diffusivity in Random Flows.
SIAM J. Numer. Anal., 2020

A Data-Driven Approach for Multiscale Elliptic PDEs with Random Coefficients Based on Intrinsic Dimension Reduction.
Multiscale Model. Simul., 2020

A Multiscale Reduced Basis Method for the Schrödinger Equation With Multiscale and Random Potentials.
Multiscale Model. Simul., 2020

A mesh-free method for interface problems using the deep learning approach.
J. Comput. Phys., 2020

Proper orthogonal decomposition method for multiscale elliptic PDEs with random coefficients.
J. Comput. Appl. Math., 2020

Fuzzy hidden Markov-switching portfolio selection with capital gain tax.
Expert Syst. Appl., 2020

2019
A Multiscale Finite Element Method for the Schrödinger Equation with Multiscale Potentials.
SIAM J. Sci. Comput., 2019

A Model Reduction Method for Multiscale Elliptic Pdes with Random Coefficients Using an Optimization Approach.
Multiscale Model. Simul., 2019

Estimation of exciton diffusion lengths of organic semiconductors in random domains.
J. Comput. Phys., 2019

An adaptive dynamically low-dimensional approximation method for multiscale stochastic diffusion equations.
J. Comput. Appl. Math., 2019

Connecting exciton diffusion with surface roughness via deep learning.
CoRR, 2019

Efficient multiscale methods for the semiclassical Schrödinger equation with time-dependent potentials.
CoRR, 2019

A class of robust numerical methods for solving dynamical systems with multiple time scales.
CoRR, 2019

Solving high-dimensional nonlinear filtering problems using a tensor train decomposition method.
CoRR, 2019

Convergence of stochastic structure-preserving schemes for computing effective diffusivity in random flows.
CoRR, 2019

2018
Computing Effective Diffusivity of Chaotic and Stochastic Flows Using Structure-Preserving Schemes.
SIAM J. Numer. Anal., 2018

Cluster-based generalized multiscale finite element method for elliptic PDEs with random coefficients.
J. Comput. Phys., 2018

GPS trajectory data segmentation based on probabilistic logic.
Int. J. Approx. Reason., 2018

2015
A Multiscale Data-Driven Stochastic Method for Elliptic PDEs with Random Coefficients.
Multiscale Model. Simul., 2015

2013
A Data-Driven Stochastic Method for Elliptic PDEs with Random Coefficients.
SIAM/ASA J. Uncertain. Quantification, 2013

A dynamically bi-orthogonal method for time-dependent stochastic partial differential equations I: Derivation and algorithms.
J. Comput. Phys., 2013

A dynamically bi-orthogonal method for time-dependent stochastic partial differential equations II: Adaptivity and generalizations.
J. Comput. Phys., 2013

2011
An Eulerian Surface Hopping Method for the Schrödinger Equation with Conical Crossings.
Multiscale Model. Simul., 2011

Adaptive artificial boundary condition for the two-level Schrödinger equation with conical crossings.
J. Comput. Phys., 2011

2008
Split local absorbing conditions for one-dimensional nonlinear Klein-Gordon equation on unbounded domain.
J. Comput. Phys., 2008


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