Te-Sheng Lin

19 papers Journal 19
YearRankTypeTitle / Venue / Authors
2026 J jnl
A Unified Weighted-Loss Physics-Informed Neural Network for Boundary Layer Problems in Singularly Perturbed PDEs.
CoRR
Wei-Fan Hu, Shi-Xiang Zhong, Po-Wen Hsieh, Chung-Kai Chen, Te-Sheng Lin
2026 J jnl
Stabilizing Physics-Informed Consistency Models via Structure-Preserving Training.
CoRR
Che-Chia Chang, Chen-Yang Dai, Te-Sheng Lin, Ming-Chih Lai, Chieh-Hsin Lai
2026 J jnl
TINNs: Time-Induced Neural Networks for Solving Time-Dependent PDEs.
CoRR
Chen-Yang Dai, Che-Chia Chang, Te-Sheng Lin, Ming-Chih Lai, Chieh-Hsin Lai
2025 J jnl
A discontinuity-capturing neural network with categorical embedding and its application to anisotropic elliptic interface problems.
CoRR
Wei-Fan Hu, Te-Sheng Lin, Ming-Chih Lai
2025 J jnl
Consistency Training with Physical Constraints.
CoRR
Che-Chia Chang, Chen-Yang Dai, Te-Sheng Lin, Ming-Chih Lai, Chieh-Hsin Lai
2025 J jnl
Physics-Informed Machine Learning for Two-Phase Moving-Interface and Stefan Problems.
CoRR
Che-Chia Chang, Te-Sheng Lin, Ming-Chih Lai
2023 J jnl
A convergent hybrid neural network and finite difference scheme for Stokes interface problems.
CoRR
Che-Chia Chang, Chen-Yang Dai, Wei-Fan Hu, Te-Sheng Lin, Ming-Chih Lai
2023 J jnl
A cusp-capturing PINN for elliptic interface problems.
J. Comput. Phys.
Yu-Hau Tseng, Te-Sheng Lin, Wei-Fan Hu, Ming-Chih Lai
2022 J jnl
A cusp-capturing PINN for elliptic interface problems.
CoRR
Yu-Hau Tseng, Te-Sheng Lin, Wei-Fan Hu, Ming-Chih Lai
2022 J jnl
A discontinuity capturing shallow neural network for elliptic interface problems.
J. Comput. Phys.
Wei-Fan Hu, Te-Sheng Lin, Ming-Chih Lai
2022 J jnl
A hybrid neural-network and finite-difference method for solving Poisson equation with jump discontinuities on interfaces.
CoRR
Wei-Fan Hu, Te-Sheng Lin, Yu-Hau Tseng, Ming-Chih Lai
2022 J jnl
A shallow Ritz method for elliptic problems with singular sources.
J. Comput. Phys.
Ming-Chih Lai, Che-Chia Chang, Wei-Syuan Lin, Wei-Fan Hu, Te-Sheng Lin
2022 J jnl
A shallow physics-informed neural network for solving partial differential equations on surfaces.
CoRR
Wei-Fan Hu, Yi-Jun Shih, Te-Sheng Lin, Ming-Chih Lai
2021 J jnl
A Discontinuity Capturing Shallow Neural Network for Elliptic Interface Problems.
CoRR
Wei-Fan Hu, Te-Sheng Lin, Ming-Chih Lai
2021 J jnl
A Shallow Ritz Method for elliptic problems with Singular Sources.
CoRR
Ming-Chih Lai, Che-Chia Chang, Wei-Syuan Lin, Wei-Fan Hu, Te-Sheng Lin
2020 J jnl
A direct Poisson solver in spherical geometry with an application to diffusiophoretic problems.
J. Comput. Phys.
Te-Sheng Lin, Wei-Fan Hu, Chaouqi Misbah
2019 J jnl
Augmenting Operating Systems with OpenCL Accelerators.
ACM Trans. Design Autom. Electr. Syst.
Chia-Heng Tu, Te-Sheng Lin
2018 J jnl
Continuation methods for time-periodic travelling-wave solutions to evolution equations.
Appl. Math. Lett.
Te-Sheng Lin, Dmitri Tseluiko, Mark G. Blyth, Serafim Kalliadasis
2015 J jnl
Coherent Structures in Nonlocal Dispersive Active-Dissipative Systems.
SIAM J. Appl. Math.
Te-Sheng Lin, Marc Pradas, Serafim Kalliadasis, Demetrios T. Papageorgiou, Dmitri Tseluiko