Zhiping Mao - RankMe

34 papers Journal 33Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Deep Collocation Method: A Framework for Solving PDEs Using Neural Networks with Error Control. SIAM J. Sci. Comput. Mingxing Weng, Zhiping Mao, Jie Shen
2025	J	`jnl`	A Novel Class of Arbitrary High-order Numerical Schemes for Fractional Differential Equations. J. Sci. Comput. Peng Ding, Zhiping Mao
2025	J	`jnl`	A novel class of arbitrary high-order numerical schemes for fractional differential equations. CoRR Peng Ding, Zhiping Mao
2025	J	`jnl`	Deep collocation methods: A framework for solving PDEs using neural networks with error control. CoRR Mingxing Weng, Zhiping Mao, Jie Shen
2025	J	`jnl`	Efficient and dissipation-preserving Hermite spectral Galerkin methods for diffusive-viscous wave equations in unbounded domains. J. Comput. Appl. Math. Dan Ling, Zhiping Mao
2025	J	`jnl`	Error Bound Analysis of Physics-Informed Neural Networks-Driven T2 Quantification in Cardiac Magnetic Resonance Imaging. CoRR Mengxue Zhang, Qingrui Cai, Yinyin Chen, Hang Jin, Jianjun Zhou, Qiu Guo, Peijun Zhao, Zhiping Mao, Xingxing Zhang, Yuyu Xia, Xianwang Jiang, Qin Xu, Chunyan Xiong, Yirong Zhou, Chengyan Wang, Xiaobo Qu
2025	J	`jnl`	Neural Multiscale Decomposition for Solving The Nonlinear Klein-Gordon Equation. CoRR Zhangyong Liang, Zhiping Mao, Xiaofei Zhao
2025	J	`jnl`	Physics-informed neural networks for supersonic flow over cones. Comput. Phys. Commun. Zhen-tao Zhao, Wei Huang, Zhiping Mao, Chao-Yang Liu, Yao-bin Niu
2024	J	`jnl`	A Data-Driven Framework for Discovering Fractional Differential Equations in Complex Systems. CoRR Xiangnan Yu, Hao Xu, Zhiping Mao, Hongguang Sun, Yong Zhang, Dongxiao Zhang, Yuntian Chen
2024	J	`jnl`	Efficient and stable SAV-based methods for gradient flows arising from deep learning. J. Comput. Phys. Ziqi Ma, Zhiping Mao, Jie Shen
2023	J	`jnl`	Analysis and Hermite Spectral Approximation of Diffusive-Viscous Wave Equations in Unbounded Domains Arising in Geophysics. J. Sci. Comput. Dan Ling, Zhiping Mao
2023	J	`jnl`	DeepStSNet: Reconstructing the quantum state-resolved thermochemical nonequilibrium flowfield using deep neural operator learning with scarce data. J. Comput. Phys. Jiaqi Lv, Qizhen Hong, Xiaoyong Wang, Zhiping Mao, Quanhua Sun
2023	J	`jnl`	Operator Learning Enhanced Physics-informed Neural Networks for Solving Partial Differential Equations Characterized by Sharp Solutions. CoRR Bin Lin, Zhiping Mao, Zhicheng Wang, George Em Karniadakis
2023	J	`jnl`	Physics-informed neural networks with residual/gradient-based adaptive sampling methods for solving PDEs with sharp solutions. CoRR Zhiping Mao, Xuhui Meng
2022	J	`jnl`	A spectral method for stochastic fractional PDEs using dynamically-orthogonal/bi-orthogonal decomposition. J. Comput. Phys. Yue Zhao, Zhiping Mao, Ling Guo, Yifa Tang, George Em Karniadakis
2022	J	`jnl`	Analysis and Hermite spectral approximation of diffusive-viscous wave equations in unbounded domains arising in geophysics. CoRR Dan Ling, Zhiping Mao
2022	J	`jnl`	Learning functional priors and posteriors from data and physics. J. Comput. Phys. Xuhui Meng, Liu Yang, Zhiping Mao, José del Águila Ferrandis, George Em Karniadakis
2022	J	`jnl`	Physics-informed neural networks for inverse problems in supersonic flows. CoRR Ameya D. Jagtap, Zhiping Mao, Nikolaus A. Adams, George Em Karniadakis
2022	J	`jnl`	Physics-informed neural networks for inverse problems in supersonic flows. J. Comput. Phys. Ameya D. Jagtap, Zhiping Mao, Nikolaus A. Adams, George Em Karniadakis
2021	J	`jnl`	DeepM&Mnet for hypersonics: Predicting the coupled flow and finite-rate chemistry behind a normal shock using neural-network approximation of operators. J. Comput. Phys. Zhiping Mao, Lu Lu, Olaf Marxen, Tamer A. Zaki, George Em Karniadakis
2021	J	`jnl`	DeepXDE: A Deep Learning Library for Solving Differential Equations. SIAM Rev. Lu Lu, Xuhui Meng, Zhiping Mao, George Em Karniadakis
2021	J	`jnl`	Learning Functional Priors and Posteriors from Data and Physics. CoRR Xuhui Meng, Liu Yang, Zhiping Mao, José del Águila Ferrandis, George Em Karniadakis
2021	J	`jnl`	Physics-informed neural networks (PINNs) for fluid mechanics: A review. CoRR Shengze Cai, Zhiping Mao, Zhicheng Wang, Minglang Yin, George Em Karniadakis
2020	—	`conf`	DeepXDE: A Deep Learning Library for Solving Differential Equations. AAAI Spring Symposium: MLPS Lu Lu, Xuhui Meng, Zhiping Mao, George Em Karniadakis
2020	J	`jnl`	What is the fractional Laplacian? A comparative review with new results. J. Comput. Phys. Anna Lischke, Guofei Pang, Mamikon A. Gulian, Fangying Song, Christian Glusa, Xiaoning Zheng, Zhiping Mao, Wei Cai, Mark M. Meerschaert, Mark Ainsworth, George Em Karniadakis
2019	J	`jnl`	A Spectral Penalty Method for Two-Sided Fractional Differential Equations with General Boundary Conditions. SIAM J. Sci. Comput. Nan Wang, Zhiping Mao, Chengming Huang, George E. Karniadakis
2019	J	`jnl`	DeepXDE: A deep learning library for solving differential equations. CoRR Lu Lu, Xuhui Meng, Zhiping Mao, George E. Karniadakis
2018	J	`jnl`	A Spectral Method (of Exponential Convergence) for Singular Solutions of the Diffusion Equation with General Two-Sided Fractional Derivative. SIAM J. Numer. Anal. Zhiping Mao, George E. Karniadakis
2018	J	`jnl`	Spectral element method with geometric mesh for two-sided fractional differential equations. Adv. Comput. Math. Zhiping Mao, Jie Shen
2017	J	`jnl`	A Generalized Spectral Collocation Method with Tunable Accuracy for Fractional Differential Equations with End-Point Singularities. SIAM J. Sci. Comput. Fanhai Zeng, Zhiping Mao, George E. Karniadakis
2017	J	`jnl`	Analysis and Approximation of a Fractional Cahn-Hilliard Equation. SIAM J. Numer. Anal. Mark Ainsworth, Zhiping Mao
2017	J	`jnl`	Fractional Burgers equation with nonlinear non-locality: Spectral vanishing viscosity and local discontinuous Galerkin methods. J. Comput. Phys. Zhiping Mao, George E. Karniadakis
2017	J	`jnl`	Hermite Spectral Methods for Fractional PDEs in Unbounded Domains. SIAM J. Sci. Comput. Zhiping Mao, Jie Shen
2016	J	`jnl`	Efficient spectral-Galerkin methods for fractional partial differential equations with variable coefficients. J. Comput. Phys. Zhiping Mao, Jie Shen