Demo Data from SIGIR 2026 / reviewers in the wild / expert
Kiseong Hong
dblp:403/0500
· DBLP profile ↗
2ranked-venue papers
2as first author
2since 2021 · last 2025
0009-0004-5032-2857ORCID · corroborated
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 2 · 2 first-author · 2 since 2021Graphics, computer vision, multimedia, augmented reality and games · 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 |
Learning paradigms · 50% Vision and language · 25% Language models and text generation · 25% |
Topics — the 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Machine learning › Learning paradigms
continual learning |
0.9 | 1 | 2025 | RainbowPrompt: Diversity-Enhanced Prompt-Evolving for Continual Learning · ICCV 2025 |
Machine learning › Learning paradigms › continual learning
prompt-based continual learning |
0.9 | 1 | 2025 | RainbowPrompt: Diversity-Enhanced Prompt-Evolving for Continual Learning · ICCV 2025 |
Natural language and speech › Language models and text generation › prompting
prompt evolution |
0.9 | 1 | 2025 | RainbowPrompt: Diversity-Enhanced Prompt-Evolving for Continual Learning · ICCV 2025 |
Computer vision › Vision and language › vision-language model
prompt learning |
0.9 | 1 | 2025 | RainbowPrompt: Diversity-Enhanced Prompt-Evolving for Continual Learning · ICCV 2025 |
Methods — techniques the papers use, named apart from their topics
prompt tuning · 0.9diversity enhancement · 0.9
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2025 | RainbowPrompt: Diversity-Enhanced Prompt-Evolving for Continual Learning
Kiseong Hong, Gyeong-Hyeon Kim, Eunwoo Kim |
ICCV | 1 |
| 2025 | Exploration and exploitation in continual learning
Kiseong Hong, Hyundong Jin, Sungho Suh, Eunwoo Kim |
Neural Networks | 1 |