VLDB 2026 Research / reviewers in the wild / expert
Wooyoung Kim 0001
dblp:11/7574-1
· DBLP profile ↗
2ranked-venue papers
2as first author
2since 2021 · last 2026
0009-0001-5930-9892ORCID · verified
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1 · 1 first-author · 1 since 2021Databases, data management, data science and information retrieval · 1 · 1 first-author · 1 since 2021Applied, interdisciplinary, general and emerging computing · 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 |
Language models and text generation · 87% Graph learning · 13% | |
| Databases, data mining, and information retrieval
1 paper |
Knowledge graphs · 50% Recommender systems · 50% |
Topics — the 5 heaviest of 5, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Natural language and speech › Language models and text generation › prompting › prompt engineering › prompt optimization
discrete prompt optimization |
1.0 | 1 | 2026 | Graph Discrete Prompt Optimization for Knowledge Graph Question Answering · WWW 2026 |
Natural language and speech › Language models and text generation › prompting
prompt engineering |
1.0 | 1 | 2026 | Graph Discrete Prompt Optimization for Knowledge Graph Question Answering · WWW 2026 |
Knowledge graphs › knowledge graph querying
knowledge graph question answering |
1.0 | 1 | 2026 | Graph Discrete Prompt Optimization for Knowledge Graph Question Answering · WWW 2026 |
Recommender systems
prompt tuning |
1.0 | 1 | 2026 | Graph Discrete Prompt Optimization for Knowledge Graph Question Answering · WWW 2026 |
Machine learning › Graph learning
graph representation learning |
0.3 | 1 | 2026 | Graph Discrete Prompt Optimization for Knowledge Graph Question Answering · WWW 2026 |
Methods — techniques the papers use, named apart from their topics
graph neural network · 2.0discrete prompt optimization · 2.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2026 | Graph Discrete Prompt Optimization for Knowledge Graph Question Answering
Wooyoung Kim 0001, HaeMin Jung, Byeongjin Kim, Suhyeon Kwon, Wooju Kim |
WWW | 1 |
| 2024 | Korean Disaster Safety Information Sign Language Translation Benchmark Dataset
Wooyoung Kim 0001, Byeongjin Kim, Myeong Jin MJ Lee, Gitaek Lee, Kirok Kim, Jisoo Cha, Wooju Kim |
LREC/COLING | 1 |