EDBT 2026 Demo / reviewers in the wild / expert
Yeojun Choi
dblp:359/1776
· DBLP profile ↗
4ranked-venue papers
2as first author
4since 2021 · last 2026
0009-0006-1465-7208ORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 2 · 1 first-author · 2 since 2021Databases, data management, data science and information retrieval · 2 · 1 first-author · 2 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 |
Representation and self-supervised learning · 50% Language models and text generation · 50% |
Topics — the 1 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Natural language and speech › Language models and text generation › large language model training
post-training |
1.0 | 1 | 2026 | Reformulating Post-Training as Matrix Factorization for Joint Embedding Refinement · SIGIR 2026 |
Methods — techniques the papers use, named apart from their topics
matrix factorization · 1.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2026 | Reformulating Post-Training as Matrix Factorization for Joint Embedding Refinement
Yeojun Choi, Yoon-Sik Cho |
SIGIR | 1 |
| 2026 | Towards refined unlearning: Utilizing the retain knowledge subspace and noise reduction
Eunsun Kim, Yeojun Choi, Yoon-Sik Cho |
Knowl. Based Syst. | 2 |
| 2025 | Rethinking Overconfidence in VAEs: Can Label Smoothing Help?
Woo-Seong Yun, Yeojun Choi, Yoon-Sik Cho |
RecSys | 2 |
| 2023 | Approaching feature matrix: To solve two issues in link prediction
Yeojun Choi, Yoon-Sik Cho |
Expert Syst. Appl. | 1 |