Demo Data from EDBT 2026 / reviewers in the wild / expert
Heyue Lin
dblp:413/7103
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2026
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 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.
| Artificial intelligence
1 paper |
Trustworthy machine learning · 100% | |
| Interdisciplinary, comprehensive, and emerging computing
1 paper |
Computational finance and economics · 100% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Machine learning › Trustworthy machine learning › interpretability › explainable AI
explainable prediction |
1.0 | 1 | 2026 | ExPred: Explainable stock movement prediction via hybrid reflection and direct preference hierarchical optimization · Artif. Intell. 2026 |
Machine learning › Trustworthy machine learning
interpretability |
1.0 | 1 | 2026 | ExPred: Explainable stock movement prediction via hybrid reflection and direct preference hierarchical optimization · Artif. Intell. 2026 |
Computational finance and economics › financial market prediction › stock prediction
stock movement prediction |
1.0 | 1 | 2026 | ExPred: Explainable stock movement prediction via hybrid reflection and direct preference hierarchical optimization · Artif. Intell. 2026 |
Methods — techniques the papers use, named apart from their topics
preference optimization · 2.0hierarchical optimization · 2.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2026 | ExPred: Explainable stock movement prediction via hybrid reflection and direct preference hierarchical optimization
Heyue Lin |
Artif. Intell. | 2 |