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Demo Data from EDBT 2026 / reviewers in the wild / expert

Hengxuan Li

dblp:120/2045 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2020
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 1Graphics, computer vision, multimedia, augmented reality and games · 1

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 theory · 100%
Theoretical computer science
1 paper
Logic in computer science · 100%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Machine learning › Learning theory
PAC learning		 0.412020
More Accurate Learning of k-DNF Reference Classes · AAAI 2020
Logic in computer science › nonmonotonic reasoning
abduction		 0.412020
More Accurate Learning of k-DNF Reference Classes · AAAI 2020

Methods — techniques the papers use, named apart from their topics

k-DNF learning · 0.9
YearPublicationVenuePosition
2020 More Accurate Learning of k-DNF Reference Classes
Brendan Juba, Hengxuan Li
 AAAI2