Demo Data from SIGIR 2026 / reviewers in the wild / expert
Qingqv Wei
dblp:405/4397 · also Qingqu Wei
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2025
0009-0001-8661-1704ORCID · verified
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.
| Artificial intelligence
1 paper |
Transfer learning and domain adaptation · 50% Deep learning architectures and training · 50% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Machine learning › Deep learning architectures and training
scaling laws |
0.9 | 1 | 2025 | Scaling Laws for Data-Efficient Visual Transfer Learning · ACM Multimedia 2025 |
Machine learning › Transfer learning and domain adaptation
visual transfer learning |
0.9 | 1 | 2025 | Scaling Laws for Data-Efficient Visual Transfer Learning · ACM Multimedia 2025 |
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2025 | Scaling Laws for Data-Efficient Visual Transfer Learning
Wenxuan Yang, Qingqv Wei, Chenxi Ma, Weimin Tan, Bo Yan 0001 |
ACM Multimedia | 2 |