VLDB 2026 Research / reviewers in the wild / expert
Chenchao Zhang
dblp:432/6413
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2026
0009-0009-2414-2592ORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Databases, data management, data science and information retrieval · 1 · 1 since 2021Applied, interdisciplinary, general and emerging computing · 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 |
Graph learning · 50% Transfer learning and domain adaptation · 50% |
Topics — the 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Machine learning › Transfer learning and domain adaptation
few-shot learning |
1.0 | 1 | 2026 | Counterfactual Meta-task Augmentation for Few-shot Graph Node Classification · WWW 2026 |
Machine learning › Graph learning › graph neural network › node classification
few-shot node classification |
1.0 | 1 | 2026 | Counterfactual Meta-task Augmentation for Few-shot Graph Node Classification · WWW 2026 |
Machine learning › Graph learning › graph neural network › node classification
graph node classification |
1.0 | 1 | 2026 | Counterfactual Meta-task Augmentation for Few-shot Graph Node Classification · WWW 2026 |
Machine learning › Transfer learning and domain adaptation
meta-learning |
1.0 | 1 | 2026 | Counterfactual Meta-task Augmentation for Few-shot Graph Node Classification · WWW 2026 |
Methods — techniques the papers use, named apart from their topics
meta-learning · 1.0counterfactual augmentation · 1.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2026 | Counterfactual Meta-task Augmentation for Few-shot Graph Node Classification
Zhiqiang Wang 0005, Chenchao Zhang, Shiying Cheng, Jianqing Liang, Peng Song 0004 |
WWW | 3 |