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zecheng zhang
zecheng zhang
Assistant professor, department of mathematics, Florida State University
Verified email at fsu.edu - Homepage
Title
Cited by
Cited by
Year
B-DeepONet: An enhanced Bayesian DeepONet for solving noisy parametric PDEs using accelerated replica exchange SGLD
G Lin, C Moya, Z Zhang
Journal of Computational Physics 473, 111713, 2023
62*2023
NH-PINN: Neural homogenization-based physics-informed neural network for multiscale problems
WT Leung, G Lin, Z Zhang
Journal of Computational Physics 470, 111539, 2022
572022
Learning the dynamical response of nonlinear non-autonomous dynamical systems with deep operator neural networks
G Lin, C Moya, Z Zhang
Engineering Applications of Artificial Intelligence 125, 106689, 2023
33*2023
BelNet: basis enhanced learning, a mesh-free neural operator
Z Zhang, L Wing Tat, H Schaeffer
Proceedings of the Royal Society A 479 (2276), 20230043, 2023
292023
Efficient hybrid explicit-implicit learning for multiscale problems
Y Efendiev, WT Leung, G Lin, Z Zhang
Journal of Computational Physics 467, 111326, 2022
252022
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
232021
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
202021
Multi-agent Reinforcement Learning Aided Sampling Algorithms for a Class of Multiscale Inverse Problems
E Chung, WT Leung, SM Pun, Z Zhang
Journal of Scientific Computing 96 (2), 55, 2023
18*2023
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
182022
Learning algorithms for coarsening uncertainty space and applications to multiscale simulations
Z Zhang, ET Chung, Y Efendiev, WT Leung
Mathematics 8 (5), 720, 2020
182020
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
172022
PROSE: Predicting Multiple Operators and Symbolic Expressions using multimodal transformers
Y Liu, Z Zhang, H Schaeffer
Neural Networks 180, 106707, 2024
142024
Towards a Foundation Model for Partial Differential Equation: Multi-Operator Learning and Extrapolation
J Sun, Y Liu, Z Zhang, H Schaeffer
arXiv preprint arXiv:2404.12355, 2024
122024
Hybrid explicit–implicit learning for multiscale problems with time dependent source
Y Efendiev, WT Leung, W Li, Z Zhang
Communications in Nonlinear Science and Numerical Simulation 120, 107081, 2023
122023
Multi-variance replica exchange stochastic gradient MCMC for inverse and forward Bayesian physics-informed neural network
G Lin, Y Wang, Z Zhang
arXiv preprint arXiv:2107.06330, 2021
112021
D2no: Efficient handling of heterogeneous input function spaces with distributed deep neural operators
Z Zhang, C Moya, L Lu, G Lin, H Schaeffer
Computer Methods in Applied Mechanics and Engineering 428, 117084, 2024
92024
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
92021
Theoretical and numerical studies of inverse source problem for the linear parabolic equation with sparse boundary measurements
G Lin, Z Zhang, Z Zhang
Inverse Problems 38 (12), 125007, 2022
72022
Bayesian deep operator learning for homogenized to fine-scale maps for multiscale PDE
Z Zhang, C Moya, WT Leung, G Lin, H Schaeffer
Multiscale Modeling & Simulation 22 (3), 956-972, 2024
62024
Conformalized-DeepONet: A Distribution-Free Framework for Uncertainty Quantification in Deep Operator Networks
C Moya, A Mollaali, Z Zhang, L Lu, G Lin
arXiv preprint arXiv:2402.15406, 2024
62024
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Articles 1–20