Demo Data from EDBT 2026 / reviewers in the wild / expert
Boheng Zeng
dblp:324/2748
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2022
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1 · 1 since 2021Graphics, 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 |
Trustworthy machine learning · 50% Representation and self-supervised learning · 50% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Machine learning › Trustworthy machine learning › robustness
adversarial attack |
0.6 | 1 | 2022 | Frequency Domain Model Augmentation for Adversarial Attack · ECCV (4) 2022 |
Machine learning › Representation and self-supervised learning
frequency-domain augmentation |
0.6 | 1 | 2022 | Frequency Domain Model Augmentation for Adversarial Attack · ECCV (4) 2022 |
Methods — techniques the papers use, named apart from their topics
frequency domain model augmentation · 0.6
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2022 | Frequency Domain Model Augmentation for Adversarial Attack
Yuyang Long, Boheng Zeng, Lianli Gao, Xianglong Liu 0001, Jingkuan Song |
ECCV (4) | 3 |