Demo Data from EDBT 2026 / reviewers in the wild / expert
Jiangce Chen
dblp:269/5715
· DBLP profile ↗
4ranked-venue papers
3as first author
3since 2021 · last 2026
0000-0002-5562-9119ORCID · corroborated
Domains — the database's venue-derived domains; a paper can count in several
Graphics, computer vision, multimedia, augmented reality and games · 3 · 2 first-author · 2 since 2021Artificial intelligence and machine learning · 1 · 1 first-author · 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
3 papers |
Geometric modeling and processing · 81% Multimedia analysis and retrieval · 19% |
Topics — the 6 heaviest of 7, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Geometric modeling and processing
topology optimization |
0.8 | 1 | 2024 | Taming Connectedness in Machine-Learning-Based Topology Optimization with Connectivity Graphs · Comput. Aided Des. 2024 |
Geometric modeling and processing
shape analysis |
0.7 | 2 | 2022 | Graph-Based Shape Analysis for Heterogeneous Geometric Datasets: Similarity, Retrieval and Substructure Matching · Comput. Aided Des. 2022 Maximal Disjoint Ball Decompositions for shape modeling and analysis · Comput. Aided Des. 2020 |
Multimedia analysis and retrieval › multimedia retrieval › content-based retrieval
shape retrieval |
0.6 | 1 | 2022 | Graph-Based Shape Analysis for Heterogeneous Geometric Datasets: Similarity, Retrieval and Substructure Matching · Comput. Aided Des. 2022 |
Geometric modeling and processing
shape decomposition |
0.4 | 1 | 2020 | Maximal Disjoint Ball Decompositions for shape modeling and analysis · Comput. Aided Des. 2020 |
Geometric modeling and processing
shape modeling |
0.4 | 1 | 2020 | Maximal Disjoint Ball Decompositions for shape modeling and analysis · Comput. Aided Des. 2020 |
Geometric modeling and processing
shape matching |
0.2 | 1 | 2022 | Graph-Based Shape Analysis for Heterogeneous Geometric Datasets: Similarity, Retrieval and Substructure Matching · Comput. Aided Des. 2022 |
Methods — techniques the papers use, named apart from their topics
machine learning · 0.8connectivity graph · 0.8graph-based analysis · 0.6disjoint ball decomposition · 0.4
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2026 | Enabling inverse design of metamaterials via trustworthy and interpretable representation learning with epistemic uncertainty awareness
Jiangce Chen, Jury Alrumaihi |
Eng. Appl. Artif. Intell. | 1 |
| 2024 | Taming Connectedness in Machine-Learning-Based Topology Optimization with Connectivity Graphs
MohammadMahdi Behzadi, Jiangce Chen, Horea T. Ilies |
Comput. Aided Des. | 2 |
| 2022 | Graph-Based Shape Analysis for Heterogeneous Geometric Datasets: Similarity, Retrieval and Substructure Matching
Jiangce Chen, Horea T. Ilies, Caiwen Ding |
Comput. Aided Des. | 1 |
| 2020 | Maximal Disjoint Ball Decompositions for shape modeling and analysis
Jiangce Chen, Horea T. Ilies |
Comput. Aided Des. | 1 |