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

Zeyi Duan

dblp:268/1622 · 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

Computer networks · 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.

Computer networks
1 paper
Internet of things and sensor networks · 77% Wireless sensing and localization · 23%

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

TopicWeightPapersLastEvidence papers
Internet of things and sensor networks › wireless sensor network
sensor fusion		 0.412020
Demo Abstract: Perception vs. Reality - Never Believe in What You See · IPSN 2020
Wireless sensing and localization
RF-based localization		 0.112020
Demo Abstract: Perception vs. Reality - Never Believe in What You See · IPSN 2020

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

radio localization · 0.4image processing · 0.4
YearPublicationVenuePosition
2020 Demo Abstract: Perception vs. Reality - Never Believe in What You See
abstract
The increasing availability of heterogeneous ambient sensing systems challenges the according information processing systems to analyse and compare a variety of different systems in a single scenario. For instance, localization of objects can be performed by image processing systems as well as by radio based localization. If such systems are utilized to localize the same objects, synergy of the outputs is important to enable comparable and meaningful analysis. This demo showcases the practical deployment and challenges of such an example system.
Yunfeng Huang, Fang-Jing Wu, Christian Hakert, Georg von der Brüggen, Kuan-Hsun Chen, Jian-Jia Chen, Patrick Böcker, Petr Chernikov, Luis Cruz 0006, Zeyi Duan, Ahmed Gheith, Yantao Gong, Anand Gopalan, Karthik Prakash, Ammar Tauqir
 IPSN10