Zecheng Zhang

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Person:2029405

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zbMath Open zhang.zechengMaRDI QIDQ2029405

List of research outcomes

PublicationDate of PublicationType
D2NO: Efficient Handling of Heterogeneous Input Function Spaces with Distributed Deep Neural Operators2023-10-28Paper
Restoring the Discontinuous Heat Equation Source Using Sparse Boundary Data and Dynamic Sensors2023-10-02Paper
Bayesian deep operator learning for homogenized to fine-scale maps for multiscale PDE2023-08-27Paper
Multi-agent reinforcement learning aided sampling algorithms for a class of multiscale inverse problems2023-07-28Paper
A discretization-invariant extension and analysis of some deep operator networks2023-07-18Paper
Hybrid explicit-implicit learning for multiscale problems with time dependent source2023-04-20Paper
Fast Replica Exchange Stochastic Gradient Langevin Dynamics2023-01-04Paper
BelNet: Basis enhanced learning, a mesh-free neural operator2022-12-14Paper
Theoretical and numerical studies of inverse source problem for the linear parabolic equation with sparse boundary measurements2022-12-02Paper
B-DeepONet: an enhanced Bayesian deeponet for solving noisy parametric PDEs using accelerated replica exchange SGLD2022-11-29Paper
A replica exchange preconditioned Crank-Nicolson Langevin dynamic MCMC method for Bayesian inverse problems2022-10-30Paper
NH-PINN: neural homogenization-based physics-informed neural network for multiscale problems2022-10-11Paper
Hybrid explicit-implicit learning for multiscale problems with time dependent source2022-08-14Paper
Efficient hybrid explicit-implicit learning for multiscale problems2022-08-05Paper
On Learning the Dynamical Response of Nonlinear Control Systems with Deep Operator Networks2022-06-13Paper
Computational multiscale method for parabolic wave approximations in heterogeneous media2022-05-19Paper
Multi-variance replica exchange SGMCMC for inverse and forward problems via Bayesian PINN2022-05-11Paper
Computational multiscale methods for quasi-gas dynamic equations2022-04-22Paper
Accelerated replica exchange stochastic gradient Langevin diffusion enhanced Bayesian DeepONet for solving noisy parametric PDEs2021-11-03Paper
HEI: hybrid explicit-implicit learning for multiscale problems2021-09-05Paper
NH-PINN: Neural homogenization based physics-informed neural network for multiscale problems2021-08-29Paper
Multi-variance replica exchange stochastic gradient MCMC for inverse and forward Bayesian physics-informed neural network2021-07-13Paper
A multi-stage deep learning based algorithm for multiscale model reduction2021-06-03Paper
Computational multiscale methods for parabolic wave approximations in heterogeneous media2021-04-06Paper
A deep neural network approach on solving the linear transport model under diffusive scaling2021-02-24Paper
A multi-stage deep learning based algorithm for multiscale modelreduction2020-09-23Paper
Computational multiscale methods for quasi-gas dynamic equations2020-08-31Paper
Learning Algorithms for Coarsening Uncertainty Space and Applications to Multiscale Simulations2020-04-08Paper
Restoring the Discontinuous Heat Equation Source Using Sparse Boundary Data and Dynamic Sensors0001-01-03Paper

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