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ORCIDZheng Ma 0010
Person information
- affiliation: Shanghai Jiao Tong University, Department of Mathematics, Shanghai, China
Other persons with the same name
- Zheng Ma — disambiguation page
- Zheng Ma 0001
![[0000-0002-0251-1483]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0002-0251-1483")
— KTH Royal Institute of Technology, Department of Information Science and Engineering, Stockholm, Sweden (and 1 more) - Zheng Ma 0002 (aka: Zheng Grace Ma) — University of Southern Denmark, Center for Health Informatics and Technology, Odense, Denmark
- Zheng Ma 0003 — Institute of Scientific and Technical Information of China (ISTIC), Beijing, China
- Zheng Ma 0004 — The Smith-Kettlewell Eye Research Institute, San Francisco, CA, USA
- Zheng Ma 0005 — University of Electronic Science and Technology of China, Chengdu, China
- Zheng Ma 0006 — National University of Singapore, Singapore
- Zheng Ma 0007 — City University of Hong Kong, Hong Kong, SAR, China
- Zheng Ma 0008 — SenseTime Research
- Zheng Ma 0009 — Purdue University, West Lafayette, IN, USA
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2020 – today
- 2025
[j4]Xiong-bin Yan, Zhi-Qin John Xu, Zheng Ma:
Bayesian Inversion with Neural Operator (BINO) for modeling subdiffusion: Forward and inverse problems. J. Comput. Appl. Math. 454: 116191 (2025)- 2024
- [i7]Enze Jiang, Jishen Peng, Zheng Ma, Xiong-bin Yan:
ODE-DPS: ODE-based Diffusion Posterior Sampling for Inverse Problems in Partial Differential Equation. CoRR abs/2404.13496 (2024) - 2023
- [j3]Shi Jin, Zheng Ma, Keke Wu:
Asymptotic-Preserving Neural Networks for Multiscale Time-Dependent Linear Transport Equations. J. Sci. Comput. 94(3): 57 (2023) - [i6]Xiong-bin Yan, Zhi-Qin John Xu, Zheng Ma:
Laplace-fPINNs: Laplace-based fractional physics-informed neural networks for solving forward and inverse problems of subdiffusion. CoRR abs/2304.00909 (2023) - [i5]Shi Jin, Zheng Ma, Keke Wu:
Asymptotic-Preserving Neural Networks for Multiscale Kinetic Equations. CoRR abs/2306.15381 (2023) - [i4]Keke Wu, Xiong-bin Yan, Shi Jin, Zheng Ma:
Asymptotic-Preserving Convolutional DeepONets Capture the Diffusive Behavior of the Multiscale Linear Transport Equations. CoRR abs/2306.15891 (2023) - [i3]Xiong-bin Yan, Keke Wu, Zhi-Qin John Xu, Zheng Ma:
An Unsupervised Deep Learning Approach for the Wave Equation Inverse Problem. CoRR abs/2311.04531 (2023) - 2022
- [c1]Tao Luo, Zheng Ma, Zhiwei Wang, Zhiqin John Xu, Yaoyu Zhang:
An Upper Limit of Decaying Rate with Respect to Frequency in Linear Frequency Principle Model. MSML 2022: 205-214 - [i2]Xiong-bin Yan, Zhi-Qin John Xu, Zheng Ma:
Bayesian Inversion with Neural Operator (BINO) for Modeling Subdiffusion: Forward and Inverse Problems. CoRR abs/2211.11981 (2022) - 2021
- [i1]Shi Jin, Zheng Ma, Keke Wu:
Asymptotic-Preserving Neural Networks for Multiscale Time-Dependent Linear Transport Equations. CoRR abs/2111.02541 (2021)
2010 – 2019
- 2018
- [j2]Shi Jin, Zheng Ma:
The Discrete Stochastic Galerkin Method for Hyperbolic Equations with Non-smooth and Random Coefficients. J. Sci. Comput. 74(1): 97-121 (2018) - 2017
- [j1]Jian-Guo Liu, Zheng Ma, Zhennan Zhou:
Explicit and Implicit TVD Schemes for Conservation Laws with Caputo Derivatives. J. Sci. Comput. 72(1): 291-313 (2017)
Coauthor Index
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