activity
20192026
most citedA Deep Neural Network for Knot Placement in B-spline Approximation

14 citations · 16 across the 3 of their papers we have counts for

collaborators

5 papers

math.NA2026

A Domain-specific adaptation network for elliptic interface problems

Jiaqi Luo, Hongmei Kang, Xingye Yue +1

Deep learning provides a flexible mesh-free framework for solving elliptic interface problems. However, domain-specific neural approaches often rely on separate networks for indivi…

math.NA2025

Polynomial preserving recovery for PHT-splines

Ying Cai, Falai Chen, Hailong Guo +2

We propose a polynomial preserving recovery method for PHT-splines within isogeometric analysis to obtain more accurate gradient approximations. The method fully exploits the local…

math.OC2023★ 1 cited

Adaptive Isogeometric Topology Optimization of Shell Structures based on PHT-splines

Zepeng Wen, Qiong Pan, Xiaoya Zhai +2

This paper proposes an Adaptive Isogeometric Topology Optimization framework for shell structures based on PHT-splines (PHT-AITO). In this framework, the design domain, displacemen…

math.OC2022★ 14 cited

A Deep Neural Network for Knot Placement in B-spline Approximation

Jiaqi Luo, Zepeng Wen, Hongmei Kang +1

Automatically determining knot number and positions is a fundamental and challenging problem in B-spline approximation. In this paper, the knot placement is abstracted as a mapping…

math.NA2019★ 1 cited

Numerical integration over implicitly defined domains with topological guarantee

Tianhui Yang, Ammar Qarariyah, Hongmei Kang +1

Numerical integration over the implicitly defined domains is challenging due to topological variances of implicit functions. In this paper, we use interval arithmetic to identify t…