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researcher

Bin Wang

4 papers here

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

author position
  • first author2
  • middle author2

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

fields
  • cs.GR3
  • cs.CL1
ORCID 0000-0002-5176-9202
same name
  • Bin Wang — 248 papers, h 54
  • Bin Wang — 35 papers, h 18
  • Bin Wang — 28 papers, h 16
  • Bin Wang — 21 papers, h 6
  • Bin Wang — 17 papers, h 9
  • Bin Wang — 17 papers, h 9

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
20172020
most citedSEG-MAT: 3D Shape Segmentation Using Medial Axis Transform

43 citations · 48 across the 4 of their papers we have counts for

collaborators

4 papers

cs.GR2020★ 43 cited

SEG-MAT: 3D Shape Segmentation Using Medial Axis Transform

Cheng Lin, Lingjie Liu, Changjian Li +4

Segmenting arbitrary 3D objects into constituent parts that are structurally meaningful is a fundamental problem encountered in a wide range of computer graphics applications. Exis…

cs.GR2020★ 3 cited

MeshODE: A Robust and Scalable Framework for Mesh Deformation

Jingwei Huang, Chiyu Max Jiang, Baiqiang Leng +2

We present MeshODE, a scalable and robust framework for pairwise CAD model deformation without prespecified correspondences. Given a pair of shapes, our framework provides a novel…

cs.GR2018★ 2 cited

Neural Material: Learning Elastic Constitutive Material and Damping Models from Sparse Data

Bin Wang, Paul Kry, Yuanmin Deng +3

The accuracy and fidelity of deformation simulations are highly dependent upon the underlying constitutive material model. Commonly used linear or nonlinear constitutive material m…

cs.CL2017

Language modeling with Neural trans-dimensional random fields

Bin Wang, Zhijian Ou

Trans-dimensional random field language models (TRF LMs) have recently been introduced, where sentences are modeled as a collection of random fields. The TRF approach has been show…

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