Mingtao Xia

According to our database, Mingtao Xia authored at least 20 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

An adaptive radial basis function approach for efficiently solving multidimensional spatiotemporal integrodifferential equations.

Mingtao Xia, Qijing Shen

CoRR, April, 2026

A new local time-decoupled squared Wasserstein-2 method for training stochastic neural networks to reconstruct uncertain parameters in dynamical systems.

Mingtao Xia, Qijing Shen, Philip K. Maini, Eamonn A. Gaffney, Alex Mogilner

Neural Networks, 2026

A local squared Wasserstein-2 method for efficient reconstruction of models with uncertainty.

Mingtao Xia, Qijing Shen

Mach. Learn. Sci. Technol., 2026

2025

Squared Wasserstein-2 loss functions for efficient learning of stochastic differential equations.

Mingtao Xia, Xiangting Li, Qijing Shen, Tom Chou

Mach. Learn., November, 2025

Efficient reconstruction of multidimensional random field models with heterogeneous data using stochastic neural networks.

Mingtao Xia, Qijing Shen

CoRR, November, 2025

A generalized Wasserstein-2 distance approach for efficient reconstruction of random field models using stochastic neural networks.

Mingtao Xia, Qijing Shen

CoRR, July, 2025

Reconstructing noisy gene regulation dynamics using extrinsic-noise-driven neural stochastic differential equations.

Jiancheng Zhang, Xiangting Li, Xiaolu Guo, Zhaoyi You, Lucas Böttcher, Alex Mogilner, Alexander Hoffmann, Tom Chou, Mingtao Xia

PLoS Comput. Biol., 2025

Adaptive hyperbolic-cross-space mapped Jacobi method on unbounded domains with applications to solving multidimensional spatiotemporal integrodifferential equations.

Yunhong Deng, Sihong Shao, Alex Mogilner, Mingtao Xia

J. Comput. Phys., 2025

2024

Learning unbounded-domain spatiotemporal differential equations using adaptive spectral methods.

Mingtao Xia, Xiangting Li, Qijing Shen, Tom Chou

J. Appl. Math. Comput., October, 2024

An efficient Wasserstein-distance approach for reconstructing jump-diffusion processes using parameterized neural networks.

Mingtao Xia, Xiangting Li, Qijing Shen, Tom Chou

Mach. Learn. Sci. Technol., 2024

Squared Wasserstein-2 Distance for Efficient Reconstruction of Stochastic Differential Equations.

Mingtao Xia, Xiangting Li, Qijing Shen, Tom Chou

CoRR, 2024

2023

Spectrally adapted physics-informed neural networks for solving unbounded domain problems.

Mingtao Xia, Lucas Böttcher, Tom Chou

Mach. Learn. Sci. Technol., June, 2023

Mathematical Modeling and Computational Methods for Structured Populations

Mingtao Xia

PhD thesis, 2023

A Spectral Approach for Learning Spatiotemporal Neural Differential Equations.

Mingtao Xia, Xiangting Li, Qijing Shen, Tom Chou

CoRR, 2023

2022

Controlling Epidemics Through Optimal Allocation of Test Kits and Vaccine Doses Across Networks.

Mingtao Xia, Lucas Böttcher, Tom Chou

IEEE Trans. Netw. Sci. Eng., 2022

Adaptive Hermite Spectral Methods in Unbounded Domains.

Tom Chou, Sihong Shao, Mingtao Xia

CoRR, 2022

2021

Efficient Scaling and Moving Techniques for Spectral Methods in Unbounded Domains.

Mingtao Xia, Sihong Shao, Tom Chou

SIAM J. Sci. Comput., 2021

A frequency-dependent <i>p</i>-adaptive technique for spectral methods.

Mingtao Xia, Sihong Shao, Tom Chou

J. Comput. Phys., 2021

2020

PDE Models of Adder Mechanisms in Cellular Proliferation.

Mingtao Xia, Chris D. Greenman, Tom Chou

SIAM J. Appl. Math., 2020

A frequency-dependent p-adaptive technique for spectral methods.

Mingtao Xia, Sihong Shao, Tom Chou

CoRR, 2020