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

Shenyuan Huang

dblp:360/6080 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2025
—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.

Network and information security
1 paper
Digital forensics and information hiding · 100%
Artificial intelligence
1 paper
Transfer learning and domain adaptation · 100%

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

TopicWeightPapersLastEvidence papers
Digital forensics and information hiding
forgery detection		 0.912025
Test-time Forgery Detection with Spatial-Frequency Prompt Learning · Int. J. Comput. Vis. 2025
Machine learning › Transfer learning and domain adaptation
test-time adaptation		 0.312025
Test-time Forgery Detection with Spatial-Frequency Prompt Learning · Int. J. Comput. Vis. 2025

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

spatial-frequency learning · 1.7prompt learning · 1.7
YearPublicationVenuePosition
2025 Test-time Forgery Detection with Spatial-Frequency Prompt Learning
Junxian Duan, Yuang Ai, Shenyuan Huang, Huaibo Huang, Jie Cao 0002, Ran He 0001
 Int. J. Comput. Vis.4