Jiwei Jia

Orcid: 0000-0001-9055-7627

According to our database1, Jiwei Jia authored at least 17 papers between 2013 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
A Helicity-Conservative Domain-Decomposed Physics-Informed Neural Network for Incompressible Non-Newtonian Flow.
CoRR, April, 2026

Boundary neuron method for solving partial differential equations.
CoRR, March, 2026

Born-Series-Inspired Residual Metric for Learning-based Preconditioners.
CoRR, March, 2026

An Efficient K-Way Constrained Normalized Cut and Its Connection to Algebraic Multigrid Method.
IEEE Trans. Image Process., 2026

R-PINN: Recovery-type a-posteriori estimator enhanced adaptive PINN.
J. Comput. Phys., 2026

2025
Greedy Algorithm for Neural Networks for Indefinite Elliptic Problems.
J. Sci. Comput., September, 2025

GiGs: graph-based integrated Gaussian kernel similarity for virus-drug association prediction.
Briefings Bioinform., March, 2025

Orthogonal greedy algorithm for linear operator learning with shallow neural network.
J. Comput. Phys., 2025

2024
All-trans retinoic acid acts as a dual-purpose inhibitor of SARS-CoV-2 infection and inflammation.
Comput. Biol. Medicine, February, 2024

fOGA: Orthogonal Greedy Algorithm for Fractional Laplace Equations.
CoRR, 2024

The pressure-robust weak Galerkin finite element method for Stokes-Darcy problem.
CoRR, 2024

Green Multigrid Network.
CoRR, 2024

An Unconstrained Formulation of Some Constrained Partial Differential Equations and its Application to Finite Neuron Methods.
CoRR, 2024

2022
Discrete maximum principle for the weak Galerkin method on triangular and rectangular meshes.
J. Comput. Appl. Math., 2022

Helicity-conservative Physics-informed Neural Network Model for Navier-Stokes Equations.
CoRR, 2022

2019
Polynomial preserving recovery for a class of weak Galerkin finite element methods.
J. Comput. Appl. Math., 2019

2013
The Growing Radial Basis Function (RBF) Neural Network and Its Applications.
Proceedings of the Advances in Swarm Intelligence, 4th International Conference, 2013


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