Mingtao Xia

Assistant Professor

University of Houston

United States

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About

Mingtao Xia is an Assistant Professor at the University of Houston, USA. His research focuses on advanced computational methods in dynamical systems, particularly in the areas of stochastic neural networks, gene regulation dynamics, and spatiotemporal differential equations. He has contributed to various topics including kinetic theories, optimal epidemic control strategies, and novel numerical techniques for solving complex equations.

Articles (10)

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2026

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2025

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2025

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2024

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2024

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2024

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2024

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2023

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2023

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2022

Collaborators (2)

Lorenzo Matteini

Imperial College London

UNITED KINGDOM

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Chen Shi

UNITED STATES

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Mingtao Xia

Research Interests

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About

Articles (10)

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

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

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

Solar Wind Structures from the Gaussianity of Magnetic Magnitude

Kinetic theories of state- and generation-dependent cell populations

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

Learning unbounded-domain spatiotemporal differential equations using adaptive spectral methods

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

Adaptive Hermite spectral methods in unbounded domains

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

Collaborators (2)

Lorenzo Matteini

Chen Shi

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