Zheng Ma

15 papers Journal 14Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Robust Physics-Guided Diffusion for Full-Waveform Inversion. CoRR Jishen Peng, Enze Jiang, Zheng Ma, Xiong-Bin Yan
2025	J	`jnl`	Bayesian Inversion with Neural Operator (BINO) for modeling subdiffusion: Forward and inverse problems. J. Comput. Appl. Math. Xiong-Bin Yan, Zhi-Qin John Xu, Zheng Ma
2025	J	`jnl`	ODE-DPS: ODE-Based Diffusion Posterior Sampling for Linear Inverse Problems in Partial Differential Equation. J. Sci. Comput. Enze Jiang, Jishen Peng, Zheng Ma, Xiong-Bin Yan
2024	J	`jnl`	Asymptotic-Preserving Neural Networks for Multiscale Vlasov-Poisson-Fokker-Planck System in the High-Field Regime. J. Sci. Comput. Shi Jin, Zheng Ma, Tian-ai Zhang
2024	J	`jnl`	ODE-DPS: ODE-based Diffusion Posterior Sampling for Inverse Problems in Partial Differential Equation. CoRR Enze Jiang, Jishen Peng, Zheng Ma, Xiong-Bin Yan
2023	J	`jnl`	An Unsupervised Deep Learning Approach for the Wave Equation Inverse Problem. CoRR Xiong-Bin Yan, Keke Wu, Zhi-Qin John Xu, Zheng Ma
2023	J	`jnl`	Asymptotic-Preserving Convolutional DeepONets Capture the Diffusive Behavior of the Multiscale Linear Transport Equations. CoRR Keke Wu, Xiong-Bin Yan, Shi Jin, Zheng Ma
2023	J	`jnl`	Asymptotic-Preserving Neural Networks for Multiscale Kinetic Equations. CoRR Shi Jin, Zheng Ma, Keke Wu
2023	J	`jnl`	Asymptotic-Preserving Neural Networks for Multiscale Time-Dependent Linear Transport Equations. J. Sci. Comput. Shi Jin, Zheng Ma, Keke Wu
2023	J	`jnl`	Laplace-fPINNs: Laplace-based fractional physics-informed neural networks for solving forward and inverse problems of subdiffusion. CoRR Xiong-Bin Yan, Zhi-Qin John Xu, Zheng Ma
2022	—	`conf`	An Upper Limit of Decaying Rate with Respect to Frequency in Linear Frequency Principle Model. MSML Tao Luo, Zheng Ma, Zhiwei Wang, Zhiqin John Xu, Yaoyu Zhang
2022	J	`jnl`	Bayesian Inversion with Neural Operator (BINO) for Modeling Subdiffusion: Forward and Inverse Problems. CoRR Xiong-Bin Yan, Zhi-Qin John Xu, Zheng Ma
2021	J	`jnl`	Asymptotic-Preserving Neural Networks for Multiscale Time-Dependent Linear Transport Equations. CoRR Shi Jin, Zheng Ma, Keke Wu
2018	J	`jnl`	The Discrete Stochastic Galerkin Method for Hyperbolic Equations with Non-smooth and Random Coefficients. J. Sci. Comput. Shi Jin, Zheng Ma
2017	J	`jnl`	Explicit and Implicit TVD Schemes for Conservation Laws with Caputo Derivatives. J. Sci. Comput. Jian-Guo Liu, Zheng Ma, Zhennan Zhou