Demo Data from EDBT 2026 / reviewers in the wild / expert
Yijun Qu
dblp:435/3660
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2025
—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 · 33% Deep learning architectures and training · 33% Transfer learning and domain adaptation · 33% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Machine learning › Deep learning architectures and training
hard example mining |
0.9 | 1 | 2025 | Meta-Learning Dynamic Center Distance: Hard Sample Mining for Learning with Noisy Labels · ICCV 2025 |
Machine learning › Trustworthy machine learning › robustness
learning with noisy labels |
0.9 | 1 | 2025 | Meta-Learning Dynamic Center Distance: Hard Sample Mining for Learning with Noisy Labels · ICCV 2025 |
Machine learning › Transfer learning and domain adaptation
meta-learning |
0.9 | 1 | 2025 | Meta-Learning Dynamic Center Distance: Hard Sample Mining for Learning with Noisy Labels · ICCV 2025 |
Methods — techniques the papers use, named apart from their topics
sample mining · 0.9meta-learning · 0.9
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2025 | Meta-Learning Dynamic Center Distance: Hard Sample Mining for Learning with Noisy Labels
Chenyu Mu, Yijun Qu, Jiexi Yan, Erkun Yang, Cheng Deng 0002 |
ICCV | 2 |