zecheng zhang

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2020202120223 39 27

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yalchin efendievMobil Chair in Computational Science, Professor of Mathematics, Texas A&M UniversityVerified email at math.tamu.edu
Wing Tat LeungCity University of Hong KongVerified email at cityu.edu.hk
Eric ChungThe Chinese University of Hong KongVerified email at math.cuhk.edu.hk
guang linProfessor of Mathematics, Purdue UniversityVerified email at purdue.edu
Sai-Mang PunDepartment of Mathematics, Texas A&M UniversityVerified email at math.tamu.edu
Tieyong ZengProfessor, Director of CMAI, Department of Mathematics, The Chinese University of Hong KongVerified email at math.cuhk.edu.hk
Yating WangAssistant Professor, The University of Hong KongVerified email at hku.hk
Liu Liu (刘鎏)Department of Mathematics, The Chinese University of Hong KongVerified email at math.cuhk.edu.hk
Zhidong ZhangSchool of Mathematics (Zhuhai), Sun Yat-sen UniversityVerified email at mail.sysu.edu.cn
Christian Moya CalderonThe Ohio State UniversityVerified email at osu.edu

zecheng zhang

Postdoc research associate, Department of Mathematics, Carnegie Mellon University

Verified email at andrew.cmu.edu - Homepage

numerical analysis deep learning scientific computing inverse problem


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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	11	2021
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	10	2021
Learning algorithms for coarsening uncertainty space and applications to multiscale simulations Z Zhang, ET Chung, Y Efendiev, WT Leung Mathematics 8 (5), 720, 2020	10	2020
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	8	2020
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	7	2022
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	7	2021
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	5	2021
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	4	2021
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	1	2021
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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