Tong Qin

Orcid: 0000-0003-0659-3292

Affiliations:
  • Ohio State University, Department of Mathematics, Columbus, OH, USA
  • Brown University, Division of Applied Mathematics, Providence, RI, USA (PhD 2017)


According to our database1, Tong Qin authored at least 9 papers between 2016 and 2021.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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Bibliography

2021
Data-Driven Learning of Nonautonomous Systems.
SIAM J. Sci. Comput., 2021

2020
Structure-Preserving Method for Reconstructing Unknown Hamiltonian Systems From Trajectory Data.
SIAM J. Sci. Comput., 2020

Data-driven learning of non-autonomous systems.
CoRR, 2020

A Non-Intrusive Correction Algorithm for Classification Problems with Corrupted Data.
CoRR, 2020

2019
Data driven governing equations approximation using deep neural networks.
J. Comput. Phys., 2019

A neural network approach for uncertainty quantification for time-dependent problems with random parameters.
CoRR, 2019

2018
Implicit Positivity-Preserving High-Order Discontinuous Galerkin Methods for Conservation Laws.
SIAM J. Sci. Comput., 2018

Reducing Parameter Space for Neural Network Training.
CoRR, 2018

2016
Bound-preserving discontinuous Galerkin methods for relativistic hydrodynamics.
J. Comput. Phys., 2016


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