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

Rui-Quan Zeng

dblp:440/2454 · DBLP profile ↗
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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

Computer networks · 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.

Computer networks
1 paper
Edge and fog computing · 50% Cellular and mobile networks · 50%
Computer graphics and multimedia
1 paper
Virtual and augmented reality · 100%

Topics — the 1 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Cellular and mobile networks › 5g
private 5g networks		 1.012026
Enabling Edge AI Offloading for XR Devices in Cost-Effective Private 5G Networks · INFOCOM 2026
YearPublicationVenuePosition
2026 Enabling Edge AI Offloading for XR Devices in Cost-Effective Private 5G Networks
Chia-Yen Hsu, Cheng-En Wu, Rui-Quan Zeng, Yu-Xun Tang, Chuan-Yi Cheng, Chi-Yu Li 0001
 INFOCOM3