Demo Data from EDBT 2026 / reviewers in the wild / expert
Jeffrey O. Zhang
dblp:229/3558 · also Jeffrey Zhang 0003
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 2020
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1 · 1 first-authorGraphics, computer vision, multimedia, augmented reality and games · 1 · 1 first-author
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 1 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Machine learning › Transfer learning and domain adaptation › model adaptation
network adaptation |
0.4 | 1 | 2020 | Side-Tuning: A Baseline for Network Adaptation via Additive Side Networks · ECCV (3) 2020 |
Methods — techniques the papers use, named apart from their topics
side tuning · 0.4additive side networks · 0.4
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2020 | Side-Tuning: A Baseline for Network Adaptation via Additive Side Networks
Jeffrey O. Zhang, Alexander Sax, Amir Zamir, Leonidas J. Guibas, Jitendra Malik |
ECCV (3) | 1 |