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ORCIDMingtao Xia
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2020 – today
- 2026
[j11]Mingtao Xia
, Qijing Shen, Philip K. Maini, Eamonn A. Gaffney, Alex Mogilner:
A new local time-decoupled squared Wasserstein-2 method for training stochastic neural networks to reconstruct uncertain parameters in dynamical systems. Neural Networks 193: 107893 (2026)- 2025
- [j10]Yunhong Deng, Sihong Shao, Alex Mogilner, Mingtao Xia:
Adaptive hyperbolic-cross-space mapped Jacobi method on unbounded domains with applications to solving multidimensional spatiotemporal integrodifferential equations. J. Comput. Phys. 520: 113492 (2025) - [j9]Mingtao Xia, Xiangting Li, Qijing Shen, Tom Chou:
Squared Wasserstein-2 loss functions for efficient learning of stochastic differential equations. Mach. Learn. 114(11): 255 (2025) - [j8]Jiancheng Zhang, Xiangting Li, Xiaolu Guo, Zhaoyi You, Lucas Böttcher, Alex Mogilner, Alexander Hoffmann, Tom Chou, Mingtao Xia:
Reconstructing noisy gene regulation dynamics using extrinsic-noise-driven neural stochastic differential equations. PLoS Comput. Biol. 21(9): 1013462 (2025) - [i13]Mingtao Xia, Qijing Shen, Philip K. Maini, Eamonn A. Gaffney, Alex Mogilner:
A new local time-decoupled squared Wasserstein-2 method for training stochastic neural networks to reconstruct uncertain parameters in dynamical systems. CoRR abs/2503.05068 (2025) - [i12]Mingtao Xia, Qijing Shen:
A generalized Wasserstein-2 distance approach for efficient reconstruction of random field models using stochastic neural networks. CoRR abs/2507.05143 (2025) - [i11]Mingtao Xia, Qijing Shen:
Efficient reconstruction of multidimensional random field models with heterogeneous data using stochastic neural networks. CoRR abs/2511.13977 (2025) - 2024
- [j7]Mingtao Xia, Xiangting Li, Qijing Shen, Tom Chou:
Learning unbounded-domain spatiotemporal differential equations using adaptive spectral methods. J. Appl. Math. Comput. 70(5): 4395-4421 (2024) - [j6]Mingtao Xia, Xiangting Li, Qijing Shen, Tom Chou:
An efficient Wasserstein-distance approach for reconstructing jump-diffusion processes using parameterized neural networks. Mach. Learn. Sci. Technol. 5(3): 45052 (2024) - [i10]Mingtao Xia, Xiangting Li, Qijing Shen, Tom Chou:
Squared Wasserstein-2 Distance for Efficient Reconstruction of Stochastic Differential Equations. CoRR abs/2401.11354 (2024) - [i9]Yunhong Deng, Sihong Shao, Alex Mogilner, Mingtao Xia:
Adaptive Hyperbolic-cross-space Mapped Jacobi Method on Unbounded Domains with Applications to Solving Multidimensional Spatiotemporal Integrodifferential Equations. CoRR abs/2404.07844 (2024) - [i8]Mingtao Xia, Xiangting Li, Qijing Shen, Tom Chou:
An efficient Wasserstein-distance approach for reconstructing jump-diffusion processes using parameterized neural networks. CoRR abs/2406.01653 (2024) - [i7]Mingtao Xia, Qijing Shen:
A local squared Wasserstein-2 method for efficient reconstruction of models with uncertainty. CoRR abs/2406.06825 (2024) - 2023
- [b1]Mingtao Xia:
Mathematical Modeling and Computational Methods for Structured Populations. University of California, Los Angeles, USA, 2023 - [j5]Mingtao Xia, Lucas Böttcher, Tom Chou:
Spectrally adapted physics-informed neural networks for solving unbounded domain problems. Mach. Learn. Sci. Technol. 4(2): 25024 (2023) - [i6]Mingtao Xia, Xiangting Li, Qijing Shen, Tom Chou:
A Spectral Approach for Learning Spatiotemporal Neural Differential Equations. CoRR abs/2309.16131 (2023) - 2022
- [j4]Mingtao Xia, Lucas Böttcher, Tom Chou:
Controlling Epidemics Through Optimal Allocation of Test Kits and Vaccine Doses Across Networks. IEEE Trans. Netw. Sci. Eng. 9(3): 1422-1436 (2022) - [i5]Mingtao Xia, Lucas Böttcher, Tom Chou:
Spectrally Adapted Physics-Informed Neural Networks for Solving Unbounded Domain Problems. CoRR abs/2202.02710 (2022) - [i4]Tom Chou, Sihong Shao, Mingtao Xia:
Adaptive Hermite Spectral Methods in Unbounded Domains. CoRR abs/2203.15630 (2022) - 2021
- [j3]Mingtao Xia, Sihong Shao, Tom Chou:
A frequency-dependent p-adaptive technique for spectral methods. J. Comput. Phys. 446: 110627 (2021) - [j2]Mingtao Xia, Sihong Shao, Tom Chou:
Efficient Scaling and Moving Techniques for Spectral Methods in Unbounded Domains. SIAM J. Sci. Comput. 43(5): A3244-A3268 (2021) - [i3]Mingtao Xia, Lucas Böttcher, Tom Chou:
Controlling epidemics through optimal allocation of test kits and vaccine doses across networks. CoRR abs/2107.13709 (2021) - 2020
- [j1]Mingtao Xia, Chris D. Greenman, Tom Chou:
PDE Models of Adder Mechanisms in Cellular Proliferation. SIAM J. Appl. Math. 80(3): 1307-1335 (2020) - [i2]Mingtao Xia, Sihong Shao, Tom Chou:
Efficient Scaling and Moving Techniques for Spectral Methods in Unbounded Domains. CoRR abs/2009.13170 (2020) - [i1]Mingtao Xia, Sihong Shao, Tom Chou:
A frequency-dependent p-adaptive technique for spectral methods. CoRR abs/2010.02008 (2020)
Coauthor Index
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