Demo Data from EDBT 2026 / reviewers in the wild / expert
Hyemin Bang
dblp:383/8388
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2025
0009-0000-7213-4241ORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Human-computer interaction and ubiquitous 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.
| Computer graphics and multimedia
1 paper |
Visualization and visual analytics · 100% | |
| Human-computer interaction and pervasive computing
1 paper |
Human-AI interaction · 100% | |
| Artificial intelligence
1 paper |
Trustworthy machine learning · 100% |
Topics — the 2 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Human-AI interaction › human-centered AI
human-AI alignment |
0.9 | 1 | 2025 | Abstraction Alignment: Comparing Model-Learned and Human-Encoded Conceptual Relationships · CHI 2025 |
Machine learning › Trustworthy machine learning
interpretability |
0.3 | 1 | 2025 | Abstraction Alignment: Comparing Model-Learned and Human-Encoded Conceptual Relationships · CHI 2025 |
Methods — techniques the papers use, named apart from their topics
saliency analysis · 2.6
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2025 | Abstraction Alignment: Comparing Model-Learned and Human-Encoded Conceptual RelationshipsabstractCHI ’25, Yokohama, Japan Angie W. Boggust, Hyemin Bang, Hendrik Strobelt, Arvind Satyanarayan |
CHI | 2 |