Shimin Feng

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

dblp:170/1295 · DBLP profile ↗

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1ranked-venue papers

1as first author

0since 2021 · last 2016

—ORCID · unresolved

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

Human-computer interaction and ubiquitous computing · 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		Probabilistic and Bayesian machine learning · 100%
Human-computer interaction and pervasive computing 1 paper		Collaborative and social computing · 100%

Topics — the 2 heaviest of 3, each with the papers that count most for it

Topic	Weight	Papers	Last	Evidence papers
Machine learning › Probabilistic and Bayesian machine learning › stochastic processes gaussian process	0.2	1	2016	Transformations of Gaussian Process priors for user matching · Int. J. Hum. Comput. Stud. 2016
Machine learning › Probabilistic and Bayesian machine learning › stochastic processes › gaussian process gaussian process prior	0.2	1	2016	Transformations of Gaussian Process priors for user matching · Int. J. Hum. Comput. Stud. 2016

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

transformation of priors · 0.5gaussian process · 0.5

Year	Publication	Venue	Position
2016	Transformations of Gaussian Process priors for user matching Shimin Feng, Roderick Murray-Smith	Int. J. Hum. Comput. Stud.	1