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Yue Chang

4 papers hereh-index 234 citations5 works total

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

author position
  • first author2
  • middle author1
  • last author1

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

fields
  • cs.GR4
same name
  • Yue Chang — 19 papers, h 10
  • Yue Chang — 11 papers
  • Yue Chang — 6 papers, h 4
  • Yue Chang — 6 papers, h 3
  • Yue Chang — 6 papers, h 3
  • Yue Chang — 1 paper, h 2

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
20232026
most citedLiCROM: Linear-Subspace Continuous Reduced Order Modeling with Neural Fields

1 citations · 1 across the 3 of their papers we have counts for

collaborators

4 papers

cs.GR2026

Closing Trajectories: Equation-Free Cyclic Animation via Koopman Surrogates

Shixun Huang, Siyuan Chen, Yue Chang +2

Cyclic animation is widely used in computer graphics and interactive content.It supports seamless playback in games, VR, and interactive simulation,where short clips must repeat sm…

cs.GR2025

Odd-DC: Generalizable Neural Model Reduction via Odd Difference-of-Convex Structure

Shixun Huang, Eitan Grinspun, Yue Chang

Model reduction is essential for real-time simulation of deformable objects. Linear techniques such as PCA provide structured and predictable behavior, but their limited expressive…

cs.GR2025

Lifting the Winding Number: Precise Discontinuities in Neural Fields for Physics Simulation

Yue Chang, Mengfei Liu, Zhecheng Wang +2

Cutting thin-walled deformable structures is common in daily life, but poses significant challenges for simulation due to the introduced spatial discontinuities. Traditional method…

cs.GR2023★ 1 cited

LiCROM: Linear-Subspace Continuous Reduced Order Modeling with Neural Fields

Yue Chang, Peter Yichen Chen, Zhecheng Wang +3

Linear reduced-order modeling (ROM) simplifies complex simulations by approximating the behavior of a system using a simplified kinematic representation. Typically, ROM is trained…

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