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Charlie C. L. Wang

15 papers hereh-index 5111.2k citations249 works total

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

author position
  • first author1
  • middle author2
  • last author12

Across the 15 of 15 papers where every author was matched, so the position is known.

fields
  • cs.GR5
  • cs.CG4
  • cs.RO4
  • cs.CV1
  • math.NA1
same name
  • Charlie C. L. Wang — 10 papers, h 5
  • Charlie C. L. Wang — 9 papers
  • Charlie C. L. Wang — 6 papers, h 1
  • Charlie C. L. Wang — 4 papers, h 4
  • Charlie C. L. Wang — 2 papers, h 5
  • Charlie C. L. Wang — 1 paper, h 1

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
20102023
most citedGeneral Support-Effective Decomposition for Multi-Directional 3D Printing

9 citations · 23 across the 14 of their papers we have counts for

collaborators
Showing cs.CGShow all

4 papers · 1 filter

cs.CG2023

Vector Field Based Volume Peeling for Multi-Axis Machining

Neelotpal Dutta, Tianyu Zhang, Guoxin Fang +2

This paper presents an easy-to-control volume peeling method for multi-axis machining based on the computation taken on vector fields. The current scalar field based methods are no…

cs.CG2021★ 1 cited

Memory-Efficient Modeling and Slicing of Large-Scale Adaptive Lattice Structures

Shengjun Liu, Tao Liu, Qiang Zou +3

Lattice structures have been widely used in various applications of additive manufacturing due to its superior physical properties. If modeled by triangular meshes, a lattice struc…

cs.CG2019★ 1 cited

CrossFill: Foam Structures with Graded Density for Continuous Material Extrusion

Tim Kuipers, Jun Wu, Charlie C. L. Wang

The fabrication flexibility of 3D printing has sparked a lot of interest in designing structures with spatially graded material properties. In this paper, we propose a new type of…

cs.CG2010★ 6 cited

Layered Depth-Normal Images: a Sparse Implicit Representation of Solid Models

Charlie C. L. Wang, Yong Chen

This paper presents a novel implicit representation of solid models. With this representation, every solid model can be effectively presented by three layered depth-normal images (…

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