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Wenping Wang

4 papers hereh-index 217 citations6 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author4

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CV2
  • cs.GR2
same name
  • Wenping Wang — 28 papers
  • Wenping Wang — 21 papers, h 32
  • Wenping Wang — 11 papers, h 54
  • Wenping Wang — 9 papers, h 10
  • Wenping Wang — 9 papers, h 12
  • Wenping Wang — 7 papers, h 3

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20242026
most citedMATStruct: High-Quality Medial Mesh Computation via Structure-aware Variational Optimization

2 citations · 2 across the 3 of their papers we have counts for

collaborators

4 papers

cs.GR2026

Learning Manifolds in High-D Point Embedding for Anisotropic Surface Approximation from Unstructured Point Clouds

Hongbo Li, Haikuan Zhu, Xiaohu Guo +3

Dense 3D sensors in various real-world fields produce point clouds that are geometrically redundant for real-time processing. In this paper, we propose an efficient and scalable le…

cs.CV2026

Autoregressive B-Rep Shape Generation with Parametric Surfaces

Dafei Qin, Rui Xu, Zeyu Shen +8

Generative CAD modeling has broad design and application potential. Despite significant advances in Boundary Representation (B-Rep) generation, the dominant representation in CAD,…

cs.GR2025★ 2 cited

MATStruct: High-Quality Medial Mesh Computation via Structure-aware Variational Optimization

Ningna Wang, Rui Xu, Yibo Yin +4

We propose a novel optimization framework for computing the medial axis transform that simultaneously preserves the medial structure and ensures high medial mesh quality. The media…

cs.CV2024

NASM: Neural Anisotropic Surface Meshing

Hongbo Li, Haikuan Zhu, Sikai Zhong +7

This paper introduces a new learning-based method, NASM, for anisotropic surface meshing. Our key idea is to propose a graph neural network to embed an input mesh into a high-dimen…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.