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

Ke-Chi Chang

dblp:273/4206 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 2020
0000-0002-5500-1479ORCID · reported

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

Artificial intelligence and machine learning · 1 · 1 first-authorGraphics, computer vision, multimedia, augmented reality and games · 1 · 1 first-author

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
Deep learning architectures and training · 100%
Computer graphics and multimedia
1 paper
Computational photography and imaging · 100%

Topics — the 1 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Computational photography and imaging › camera characterization
camera noise modeling		 0.412020
Learning Camera-Aware Noise Models · ECCV (24) 2020

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

camera-aware noise models · 0.9
YearPublicationVenuePosition
2020 Learning Camera-Aware Noise Models
Ke-Chi Chang, Ren Wang 0014, Hung-Jin Lin, Yu-Lun Liu 0001, Chia-Ping Chen, Yu-Lin Chang, Hwann-Tzong Chen
 ECCV (24)1