Tong Qin

11 papers Journal 11
YearRankTypeTitle / Venue / Authors
2021 J jnl
Data-Driven Learning of Nonautonomous Systems.
SIAM J. Sci. Comput.
Tong Qin, Zhen Chen, John D. Jakeman, Dongbin Xiu
2020 J jnl
A Non-Intrusive Correction Algorithm for Classification Problems with Corrupted Data.
CoRR
Jun Hou, Tong Qin, Kailiang Wu, Dongbin Xiu
2020 J jnl
Data-driven learning of non-autonomous systems.
CoRR
Tong Qin, Zhen Chen, John D. Jakeman, Dongbin Xiu
2020 J jnl
Structure-Preserving Method for Reconstructing Unknown Hamiltonian Systems From Trajectory Data.
SIAM J. Sci. Comput.
Kailiang Wu, Tong Qin, Dongbin Xiu
2019 J jnl
A neural network approach for uncertainty quantification for time-dependent problems with random parameters.
CoRR
Tong Qin, Zhen Chen, John D. Jakeman, Dongbin Xiu
2019 J jnl
Data driven governing equations approximation using deep neural networks.
J. Comput. Phys.
Tong Qin, Kailiang Wu, Dongbin Xiu
2019 J jnl
Structure-preserving Method for Reconstructing Unknown Hamiltonian Systems from Trajectory Data.
CoRR
Kailiang Wu, Tong Qin, Dongbin Xiu
2018 J jnl
Data Driven Governing Equations Approximation Using Deep Neural Networks.
CoRR
Tong Qin, Kailiang Wu, Dongbin Xiu
2018 J jnl
Implicit Positivity-Preserving High-Order Discontinuous Galerkin Methods for Conservation Laws.
SIAM J. Sci. Comput.
Tong Qin, Chi-Wang Shu
2018 J jnl
Reducing Parameter Space for Neural Network Training.
CoRR
Tong Qin, Ling Zhou, Dongbin Xiu
2016 J jnl
Bound-preserving discontinuous Galerkin methods for relativistic hydrodynamics.
J. Comput. Phys.
Tong Qin, Chi-Wang Shu, Yang Yang