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zecheng zhang
zecheng zhang
Postdoc research associate, Department of Mathematics, Carnegie Mellon University
Verified email at andrew.cmu.edu - Homepage
Title
Cited by
Cited by
Year
Computational multiscale methods for quasi-gas dynamic equations
B Chetverushkin, E Chung, Y Efendiev, SM Pun, Z Zhang
Journal of Computational Physics 440, 110352, 2021
112021
A multi-stage deep learning based algorithm for multiscale model reduction
E Chung, WT Leung, SM Pun, Z Zhang
Journal of Computational and Applied Mathematics 394, 113506, 2021
102021
Learning algorithms for coarsening uncertainty space and applications to multiscale simulations
Z Zhang, ET Chung, Y Efendiev, WT Leung
Mathematics 8 (5), 720, 2020
102020
Multi-agent reinforcement learning accelerated mcmc on multiscale inversion problem
E Chung, Y Efendiev, WT Leung, SM Pun, Z Zhang
arXiv preprint arXiv:2011.08954, 2020
82020
Computational multiscale method for parabolic wave approximations in heterogeneous media
E Chung, Y Efendiev, SM Pun, Z Zhang
Applied Mathematics and Computation 425, 127044, 2022
72022
A deep neural network approach on solving the linear transport model under diffusive scaling
L Liu, T Zeng, Z Zhang
arXiv preprint arXiv:2102.12408, 2021
72021
Accelerated replica exchange stochastic gradient Langevin diffusion enhanced Bayesian DeepONet for solving noisy parametric PDEs
G Lin, C Moya, Z Zhang
arXiv preprint arXiv:2111.02484, 2021
52021
Multi-variance replica exchange SGMCMC for inverse and forward problems via Bayesian PINN
G Lin, Y Wang, Z Zhang
Journal of Computational Physics 460, 111173, 2022
4*2022
NH-PINN: Neural homogenization based physics-informed neural network for multiscale problems
WT Leung, G Lin, Z Zhang
arXiv preprint arXiv:2108.12942, 2021
42021
Efficient hybrid explicit-implicit learning for multiscale problems
Y Efendiev, WT Leung, G Lin, Z Zhang
Journal of Computational Physics, 111326, 2022
2*2022
Theoretical and numerical studies of inverse source problem for the linear parabolic equation with sparse boundary measurements
G Lin, Z Zhang, Z Zhang
arXiv preprint arXiv:2111.02285, 2021
12021
On Learning the Dynamical Response of Nonlinear Control Systems with Deep Operator Networks
G Li, C Moya, Z Zhang
arXiv preprint arXiv:2206.06536, 2022
2022
MULTISCALE MODEL REDUCTION AND DEEP REINFORCEMENT LEARNING FOR THE SELECTED APPLICATIONS
Z Zhang
2021
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