Demo Data from VLDB 2026 / reviewers in the wild / expert
Guan Gui 0003
dblp:315/0885-3
· DBLP profile ↗
1ranked-venue papers
1as first author
1since 2021 · last 2024
0009-0004-5774-2555ORCID · verified
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1 · 1 first-author · 1 since 2021Graphics, computer vision, multimedia, augmented reality and games · 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 |
Time series and sequential data · 77% Generative modeling · 23% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Machine learning › Time series and sequential data › anomaly detection
anomaly segmentation |
0.8 | 1 | 2024 | Few-Shot Anomaly-Driven Generation for Anomaly Classification and Segmentation · ECCV (83) 2024 |
Machine learning › Generative modeling › synthetic data generation
anomaly generation |
0.2 | 1 | 2024 | Few-Shot Anomaly-Driven Generation for Anomaly Classification and Segmentation · ECCV (83) 2024 |
Methods — techniques the papers use, named apart from their topics
few-shot learning · 0.8anomaly-driven generation · 0.8
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2024 | Few-Shot Anomaly-Driven Generation for Anomaly Classification and Segmentation
Guan Gui 0003, Bin-Bin Gao, Jun Liu 0116, Chengjie Wang 0001, Yunsheng Wu |
ECCV (83) | 1 |