Demonstration venue · read-only. Every page can be browsed; the buttons that would change it are switched off. Create an account to run TaxoReview on your own data. A simulation from public publication records: the people listed were not invited and did not agree to review.
? Tutorial for this page

Lingxin Cao

dblp:290/5555 · DBLP profile ↗
← Back
5ranked-venue papers
1as first author
5since 2021 · last 2026
0000-0002-6181-3035ORCID · corroborated

Domains — the database's venue-derived domains; a paper can count in several

Graphics, computer vision, multimedia, augmented reality and games · 5 · 1 first-author · 5 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer graphics and multimedia
3 papers
Geometric modeling and processing · 57% Computational fabrication · 37% Image and video processing · 6%

Topics — the 4 heaviest of 6, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Geometric modeling and processing
3d reconstruction
1.012026
Knit2Vector: 3D knitted texture reconstruction from unconstrained images via differentiable vectorization · Comput. Aided Des. 2026
Computational fabrication
additive manufacturing
1.012026
Visual permeability-driven generation of support-free stochastic porous structures · Comput. Aided Des. 2026
Geometric modeling and processing › shape modeling › volumetric modeling
porous structure modeling
1.012026
Visual permeability-driven generation of support-free stochastic porous structures · Comput. Aided Des. 2026
Geometric modeling and processing
structural optimization
0.912025
Principal stress field-guided optimization for rib structure generation · Comput. Aided Des. 2025

Methods — techniques the papers use, named apart from their topics

visual permeability · 1.0vectorization · 1.0differentiable rendering · 1.0
YearPublicationVenuePosition
2026 Visual permeability-driven generation of support-free stochastic porous structures
Kaifeng Tian, Lingxin Cao, Longdu Liu, Lihao Tian, Bingteng Sun, Changhe Tu, Lin Lu 0001, Baoquan Chen
Comput. Aided Des.3
2026 Knit2Vector: 3D knitted texture reconstruction from unconstrained images via differentiable vectorization
Lingxin Cao, Junqiu Zhu, Lin Lu 0001
Comput. Aided Des.2
2025 Principal stress field-guided optimization for rib structure generation
Longdu Liu, Xiangjun Wu, Jiqiang Huang, Lingxin Cao, Changhe Tu, Lin Lu 0001
Comput. Aided Des.4
2024 Auxetic dihedral Escher tessellations
abstract
The auxetic structure demonstrates an unconventional deployable mechanism, expanding in transverse directions while being stretched longitudinally (exhibiting a negative Poisson’s ratio). This characteristic offers advantages in diverse fields such as structural engineering, flexible electronics, and medicine. The rotating (semi-)rigid structure, as a typical auxetic structure, has been introduced into the field of computer-aided design because of its well-defined motion patterns. These structures find application as deployable structures in various endeavors aiming to approximate and rapidly fabricate doubly-curved surfaces, thereby mitigating the challenges associated with their production and transportation. Nevertheless, prior designs relying on basic geometric elements primarily concentrate on exploring the inherent nature of the structure and often lack aesthetic appeal. To address this limitation, we propose a novel design and generation method inspired by dihedral Escher tessellations. By introducing a new metric function, we achieve efficient evaluation of shape deployability as well as filtering of tessellations, followed by a two-step deformation and edge-deployability optimization process to ensure compliance with deployability constraints while preserving semantic meanings. Furthermore, we optimize the shape through physical simulation to guarantee deployability in actual manufacturing and control Poisson’s ratio to a certain extent. Our method yields structures that are both semantically meaningful and aesthetically pleasing, showcasing promising potential for auxetic applications.
Lin Lu 0001, Lingxin Cao, Oliver Deussen, Changhe Tu
Graph. Model.3
2021 Constrained stacking in DLP 3D printing
Lingxin Cao, Lihao Tian, Hao Peng 0001, Lin Lu 0001
Comput. Graph.1