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Tong Qin
Tong Qin
Applied Scientist-Lab126@Amazon
Bestätigte E-Mail-Adresse bei amazon.com - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Data driven governing equations approximation using deep neural networks
T Qin, K Wu, D Xiu
Journal of Computational Physics 395, 620-635, 2019
3462019
An exactly divergence-free finite element method for a generalized Boussinesq problem
R Oyarzúa, T Qin, D Schötzau
IMA journal of numerical analysis 34 (3), 1104-1135, 2014
832014
Bound-preserving discontinuous Galerkin methods for relativistic hydrodynamics
T Qin, CW Shu, Y Yang
Journal of Computational Physics 315, 323-347, 2016
692016
Data-driven learning of nonautonomous systems
T Qin, Z Chen, JD Jakeman, D Xiu
SIAM Journal on Scientific Computing 43 (3), A1607-A1624, 2021
602021
Deep learning of parameterized equations with applications to uncertainty quantification
T Qin, Z Chen, J Jakeman, D Xiu
International Journal of Uncertainty Quantification, 2019
52*2019
Structure-preserving method for reconstructing unknown Hamiltonian systems from trajectory data
K Wu, T Qin, D Xiu
SIAM Journal on Scientific Computing 42 (6), A3704-A3729, 2020
432020
Implicit positivity-preserving high-order discontinuous Galerkin methods for conservation laws
T Qin, CW Shu
SIAM Journal on Scientific Computing 40 (1), A81-A107, 2018
352018
Reducing Parameter Space for Neural Network Training
T Qin, L Zhou, D Xiu
Theoretical and Applied Mechanics Letters 10 (3), 170-181, 2020
52020
A Non-Intrusive Correction Algorithm for Classification Problems with Corrupted Data
J Hou, T Qin, K Wu, D Xiu
Communications on Applied Mathematics and Computation, 2020
2020
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