Qijing Shen

11 papers Journal 11

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`	Efficient reconstruction of multidimensional random field models with heterogeneous data using stochastic neural networks. CoRR Mingtao Xia, Qijing Shen
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`	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