Demo Data from EDBT 2026 / reviewers in the wild / expert
Pengqi Huang
dblp:425/5152
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2025
0009-0007-1047-3863ORCID · reported
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 |
Video understanding and tracking · 44% Learning paradigms · 44% Trustworthy machine learning · 13% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Machine learning › Learning paradigms
imbalanced learning |
0.9 | 1 | 2025 | Combatting Data Imbalance and Noise in Micro-Action Recognition · ACM Multimedia 2025 |
Computer vision › Video understanding and tracking › action recognition › fine-grained action recognition
micro-action recognition |
0.9 | 1 | 2025 | Combatting Data Imbalance and Noise in Micro-Action Recognition · ACM Multimedia 2025 |
Machine learning › Trustworthy machine learning › robustness
learning with noisy labels |
0.3 | 1 | 2025 | Combatting Data Imbalance and Noise in Micro-Action Recognition · ACM Multimedia 2025 |
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2025 | Combatting Data Imbalance and Noise in Micro-Action Recognition
Weidong Chen 0010, Zhaobo Qi, Pengqi Huang, Xinyan Liu 0008, Weigang Zhang |
ACM Multimedia | 6 |