Demo Data from VLDB 2026 / reviewers in the wild / expert
Shi-Ran Ge
dblp:422/0475
· DBLP profile ↗
1ranked-venue papers
1as first author
1since 2021 · last 2025
0009-0006-5654-7605ORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Artificial 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.
| Artificial intelligence
1 paper |
Deep learning architectures and training · 50% Image recognition and object detection · 50% |
Topics — the 2 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Computer vision › Image recognition and object detection
object detection |
0.9 | 1 | 2025 | Improving Object Detection Models via LLM-Based Training Data Synthesis · Int. J. Comput. Vis. 2025 |
Machine learning › Deep learning architectures and training › data-centric deep learning
training data generation |
0.9 | 1 | 2025 | Improving Object Detection Models via LLM-Based Training Data Synthesis · Int. J. Comput. Vis. 2025 |
Methods — techniques the papers use, named apart from their topics
large language model · 0.9
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2025 | Improving Object Detection Models via LLM-Based Training Data Synthesis
Shi-Ran Ge |
Int. J. Comput. Vis. | 1 |