Demo Data from EDBT 2026 / reviewers in the wild / expert
Yekui Chen
dblp:150/3097
· DBLP profile ↗
2ranked-venue papers
0as first author
0since 2021 · last 2014
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Computer networks · 2
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
2 papers |
Wireless sensing and localization · 76% Internet of things and sensor networks · 24% | |
| Human-computer interaction and pervasive computing
1 paper |
Ubiquitous computing and smart environments · 100% |
Topics — the 3 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Wireless sensing and localization › localization accuracy
high-precision localization |
0.4 | 2 | 2014 | Tagoram: real-time tracking of mobile RFID tags to high precision using COTS devices · MobiCom 2014 Demo: high-precision RFID tracking using COTS devies · MobiCom 2014 |
Wireless sensing and localization › tracking › RF tracking
RFID tracking |
0.4 | 2 | 2014 | Tagoram: real-time tracking of mobile RFID tags to high precision using COTS devices · MobiCom 2014 Demo: high-precision RFID tracking using COTS devies · MobiCom 2014 |
Internet of things and sensor networks
RFID systems |
0.2 | 2 | 2014 | Demo: high-precision RFID tracking using COTS devies · MobiCom 2014 Tagoram: real-time tracking of mobile RFID tags to high precision using COTS devices · MobiCom 2014 |
Methods — techniques the papers use, named apart from their topics
phase-based localization · 0.6differential augmented hologram · 0.4
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2014 | Demo: high-precision RFID tracking using COTS deviesabstractIn many applications, we have to identify an object and then locate the object to within high precision (centimeter- or millimeter-level). Tracking mobile RFID tags in real time has been a daunting task, especially challenging for achieving high precision. We achieve these three goals by leveraging the phase value of the backscattered signal, provided by the COTS RFID readers, to estimate the location of the object. To illustrate the basic idea of our system, we firstly focus on a simple scenario where the tag is moving along a fixed track known to the system. We propose Differential Augmented Hologram (DAH) which will facilitate the instant tracking of the mobile RFID tag to a high precision. We then devise a comprehensive solution to accurately recover the tag's moving trajectory and its locations, relaxing the assumption of knowing tag's track function in advance. Lei Yang 0025, Yekui Chen, Xiang-Yang Li 0001, Yi Guo 0008, Yunhao Liu 0001 |
MobiCom | 2 |
| 2014 | Tagoram: real-time tracking of mobile RFID tags to high precision using COTS devicesabstractIn many applications, we have to identify an object and then locate the object to within high precision (centimeter- or millimeter-level). Legacy systems that can provide such accuracy are either expensive or suffering from performance degradation resulting from various impacts, e.g., occlusion for computer vision based approaches. Lei Yang 0025, Yekui Chen, Xiang-Yang Li 0001, Chaowei Xiao, Mo Li 0001, Yunhao Liu 0001 |
MobiCom | 2 |