Te-Sheng Lin

According to our database, Te-Sheng Lin authored at least 16 papers between 2015 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

A Unified Weighted-Loss Physics-Informed Neural Network for Boundary Layer Problems in Singularly Perturbed PDEs.

Wei-Fan Hu, Shi-Xiang Zhong, Po-Wen Hsieh, Chung-Kai Chen, Te-Sheng Lin

CoRR, March, 2026

Stabilizing Physics-Informed Consistency Models via Structure-Preserving Training.

Che-Chia Chang, Chen-Yang Dai, Te-Sheng Lin, Ming-Chih Lai, Chieh-Hsin Lai

CoRR, February, 2026

TINNs: Time-Induced Neural Networks for Solving Time-Dependent PDEs.

Chen-Yang Dai, Che-Chia Chang, Te-Sheng Lin, Ming-Chih Lai, Chieh-Hsin Lai

CoRR, January, 2026

2025

Physics-Informed Machine Learning for Two-Phase Moving-Interface and Stefan Problems.

Che-Chia Chang, Te-Sheng Lin, Ming-Chih Lai

CoRR, December, 2025

A discontinuity-capturing neural network with categorical embedding and its application to anisotropic elliptic interface problems.

Wei-Fan Hu, Te-Sheng Lin, Ming-Chih Lai

CoRR, March, 2025

Consistency Training with Physical Constraints.

Che-Chia Chang, Chen-Yang Dai, Te-Sheng Lin, Ming-Chih Lai, Chieh-Hsin Lai

CoRR, February, 2025

2023

A cusp-capturing PINN for elliptic interface problems.

Yu-Hau Tseng, Te-Sheng Lin, Wei-Fan Hu, Ming-Chih Lai

J. Comput. Phys., October, 2023

A convergent hybrid neural network and finite difference scheme for Stokes interface problems.

Che-Chia Chang, Chen-Yang Dai, Wei-Fan Hu, Te-Sheng Lin, Ming-Chih Lai

CoRR, 2023

2022

A shallow Ritz method for elliptic problems with singular sources.

Ming-Chih Lai, Che-Chia Chang, Wei-Syuan Lin, Wei-Fan Hu, Te-Sheng Lin

J. Comput. Phys., 2022

A discontinuity capturing shallow neural network for elliptic interface problems.

Wei-Fan Hu, Te-Sheng Lin, Ming-Chih Lai

J. Comput. Phys., 2022

A hybrid neural-network and finite-difference method for solving Poisson equation with jump discontinuities on interfaces.

Wei-Fan Hu, Te-Sheng Lin, Yu-Hau Tseng, Ming-Chih Lai

CoRR, 2022

A shallow physics-informed neural network for solving partial differential equations on surfaces.

Wei-Fan Hu, Yi-Jun Shih, Te-Sheng Lin, Ming-Chih Lai

CoRR, 2022

2020

A direct Poisson solver in spherical geometry with an application to diffusiophoretic problems.

Te-Sheng Lin, Wei-Fan Hu, Chaouqi Misbah

J. Comput. Phys., 2020

2019

Augmenting Operating Systems with OpenCL Accelerators.

Chia-Heng Tu, Te-Sheng Lin

ACM Trans. Design Autom. Electr. Syst., 2019

2018

Continuation methods for time-periodic travelling-wave solutions to evolution equations.

Te-Sheng Lin, Dmitri Tseluiko, Mark G. Blyth, Serafim Kalliadasis

Appl. Math. Lett., 2018

2015

Coherent Structures in Nonlocal Dispersive Active-Dissipative Systems.

Te-Sheng Lin, Marc Pradas, Serafim Kalliadasis, Demetrios T. Papageorgiou, Dmitri Tseluiko

SIAM J. Appl. Math., 2015