VLDB 2026 Research / reviewers in the wild / expert
Chang-Yong Song
dblp:387/9140
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2025
0000-0002-2495-1383ORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Graphics, computer vision, multimedia, augmented reality and games · 1 · 1 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
1 paper |
Computer animation and physical simulation · 50% Geometric modeling and processing · 50% |
Topics — the 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Computer animation and physical simulation › particle-based simulation
material point method |
0.9 | 1 | 2025 | A Differentiable Material Point Method Framework for Shape Morphing · IEEE Trans. Vis. Comput. Graph. 2025 |
Geometric modeling and processing › shape deformation
shape morphing |
0.9 | 1 | 2025 | A Differentiable Material Point Method Framework for Shape Morphing · IEEE Trans. Vis. Comput. Graph. 2025 |
Geometric modeling and processing
deformation |
0.3 | 1 | 2025 | A Differentiable Material Point Method Framework for Shape Morphing · IEEE Trans. Vis. Comput. Graph. 2025 |
Computer animation and physical simulation › deformable body simulation
elastic deformation |
0.3 | 1 | 2025 | A Differentiable Material Point Method Framework for Shape Morphing · IEEE Trans. Vis. Comput. Graph. 2025 |
Methods — techniques the papers use, named apart from their topics
differentiable simulation · 0.9chained iterative optimization · 0.9
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2025 | A Differentiable Material Point Method Framework for Shape MorphingabstractWe present a novel, physically-based morphing technique for elastic shapes, leveraging the differentiable material point method (MPM) with space-time control through per-particle deformation gradients to accommodate complex topology changes. This approach, grounded in MPM's natural handling of dynamic topologies, is enhanced by a chained iterative optimization technique, allowing for the creation of both succinct and extended morphing sequences that maintain coherence over time. Demonstrated across various challenging scenarios, our method is able to produce detailed elastic deformation and topology transitions, all grounded within our physics-based simulation framework. Michael Xu, Chang-Yong Song, David I. W. Levin, David Hyde 0001 |
IEEE Trans. Vis. Comput. Graph. | 2 |