VLDB 2026 Research / reviewers in the wild / expert
Minguk Jang
dblp:324/2292
· DBLP profile ↗
1ranked-venue papers
1as first author
1since 2021 · last 2023
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1 · 1 first-author · 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 |
Transfer learning and domain adaptation · 67% Kernel, tree and ensemble methods · 33% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Machine learning › Kernel, tree and ensemble methods
nearest neighbor methods |
0.7 | 1 | 2023 | Test-Time Adaptation via Self-Training with Nearest Neighbor Information · ICLR 2023 |
Machine learning › Transfer learning and domain adaptation › domain adaptation › unsupervised domain adaptation
self-training |
0.7 | 1 | 2023 | Test-Time Adaptation via Self-Training with Nearest Neighbor Information · ICLR 2023 |
Machine learning › Transfer learning and domain adaptation
test-time adaptation |
0.7 | 1 | 2023 | Test-Time Adaptation via Self-Training with Nearest Neighbor Information · ICLR 2023 |
Methods — techniques the papers use, named apart from their topics
self-training · 0.7nearest neighbor · 0.7
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2023 | Test-Time Adaptation via Self-Training with Nearest Neighbor Information
Minguk Jang, Sae-Young Chung, Hye Won Chung |
ICLR | 1 |