Mingtao Xia - RankMe

25 papers Journal 24

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A new local time-decoupled squared Wasserstein-2 method for training stochastic neural networks to reconstruct uncertain parameters in dynamical systems. Neural Networks Mingtao Xia, Qijing Shen, Philip K. Maini, Eamonn A. Gaffney, Alex Mogilner
2025	J	`jnl`	A generalized Wasserstein-2 distance approach for efficient reconstruction of random field models using stochastic neural networks. CoRR Mingtao Xia, Qijing Shen
2025	J	`jnl`	A new local time-decoupled squared Wasserstein-2 method for training stochastic neural networks to reconstruct uncertain parameters in dynamical systems. CoRR Mingtao Xia, Qijing Shen, Philip K. Maini, Eamonn A. Gaffney, Alex Mogilner
2025	J	`jnl`	Adaptive hyperbolic-cross-space mapped Jacobi method on unbounded domains with applications to solving multidimensional spatiotemporal integrodifferential equations. J. Comput. Phys. Yunhong Deng, Sihong Shao, Alex Mogilner, Mingtao Xia
2025	J	`jnl`	Efficient reconstruction of multidimensional random field models with heterogeneous data using stochastic neural networks. CoRR Mingtao Xia, Qijing Shen
2025	J	`jnl`	Reconstructing noisy gene regulation dynamics using extrinsic-noise-driven neural stochastic differential equations. PLoS Comput. Biol. Jiancheng Zhang, Xiangting Li, Xiaolu Guo, Zhaoyi You, Lucas Böttcher, Alex Mogilner, Alexander Hoffmann, Tom Chou, Mingtao Xia
2025	J	`jnl`	Squared Wasserstein-2 loss functions for efficient learning of stochastic differential equations. Mach. Learn. Mingtao Xia, Xiangting Li, Qijing Shen, Tom Chou
2024	J	`jnl`	A local squared Wasserstein-2 method for efficient reconstruction of models with uncertainty. CoRR Mingtao Xia, Qijing Shen
2024	J	`jnl`	Adaptive Hyperbolic-cross-space Mapped Jacobi Method on Unbounded Domains with Applications to Solving Multidimensional Spatiotemporal Integrodifferential Equations. CoRR Yunhong Deng, Sihong Shao, Alex Mogilner, Mingtao Xia
2024	J	`jnl`	An efficient Wasserstein-distance approach for reconstructing jump-diffusion processes using parameterized neural networks. CoRR Mingtao Xia, Xiangting Li, Qijing Shen, Tom Chou
2024	J	`jnl`	An efficient Wasserstein-distance approach for reconstructing jump-diffusion processes using parameterized neural networks. Mach. Learn. Sci. Technol. Mingtao Xia, Xiangting Li, Qijing Shen, Tom Chou
2024	J	`jnl`	Learning unbounded-domain spatiotemporal differential equations using adaptive spectral methods. J. Appl. Math. Comput. Mingtao Xia, Xiangting Li, Qijing Shen, Tom Chou
2024	J	`jnl`	Squared Wasserstein-2 Distance for Efficient Reconstruction of Stochastic Differential Equations. CoRR Mingtao Xia, Xiangting Li, Qijing Shen, Tom Chou
2023	J	`jnl`	A Spectral Approach for Learning Spatiotemporal Neural Differential Equations. CoRR Mingtao Xia, Xiangting Li, Qijing Shen, Tom Chou
2023	—	`—`	Mathematical Modeling and Computational Methods for Structured Populations Mingtao Xia
2023	J	`jnl`	Spectrally adapted physics-informed neural networks for solving unbounded domain problems. Mach. Learn. Sci. Technol. Mingtao Xia, Lucas Böttcher, Tom Chou
2022	J	`jnl`	Adaptive Hermite Spectral Methods in Unbounded Domains. CoRR Tom Chou, Sihong Shao, Mingtao Xia
2022	J	`jnl`	Controlling Epidemics Through Optimal Allocation of Test Kits and Vaccine Doses Across Networks. IEEE Trans. Netw. Sci. Eng. Mingtao Xia, Lucas Böttcher, Tom Chou
2022	J	`jnl`	Spectrally Adapted Physics-Informed Neural Networks for Solving Unbounded Domain Problems. CoRR Mingtao Xia, Lucas Böttcher, Tom Chou
2021	J	`jnl`	A frequency-dependent J. Comput. Phys. Mingtao Xia, Sihong Shao, Tom Chou
2021	J	`jnl`	Controlling epidemics through optimal allocation of test kits and vaccine doses across networks. CoRR Mingtao Xia, Lucas Böttcher, Tom Chou
2021	J	`jnl`	Efficient Scaling and Moving Techniques for Spectral Methods in Unbounded Domains. SIAM J. Sci. Comput. Mingtao Xia, Sihong Shao, Tom Chou
2020	J	`jnl`	A frequency-dependent p-adaptive technique for spectral methods. CoRR Mingtao Xia, Sihong Shao, Tom Chou
2020	J	`jnl`	Efficient Scaling and Moving Techniques for Spectral Methods in Unbounded Domains. CoRR Mingtao Xia, Sihong Shao, Tom Chou
2020	J	`jnl`	PDE Models of Adder Mechanisms in Cellular Proliferation. SIAM J. Appl. Math. Mingtao Xia, Chris D. Greenman, Tom Chou