Demo Data from SIGIR 2026 / reviewers in the wild / expert
Hong Luan
dblp:57/10177
· DBLP profile ↗
1ranked-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 · 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 |
Physical-layer communications · 44% Wireless sensing and localization · 44% Wireless networking · 13% |
Topics — the 2 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Physical-layer communications
channel sounding |
0.2 | 1 | 2014 | EV-sounding: A visual assisted electronic channel sounding system · INFOCOM 2014 |
Wireless networking › cognitive radio
spectrum agility |
0.1 | 1 | 2014 | EV-sounding: A visual assisted electronic channel sounding system · INFOCOM 2014 |
Methods — techniques the papers use, named apart from their topics
frequency domain channel sounding · 0.2camera-based visual estimation · 0.2
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2014 | EV-sounding: A visual assisted electronic channel sounding systemabstractElectronic channel sounding plays a vital role in developing wireless communication systems. It is critical for transceivers' equalization and filtering operations. However, current pure electronic channel sounding techniques are not well-suited for emerging scenarios such as opportunistic spectrum access, channel impulse response (CIR) based wireless positioning, and wireless security applications, which demand rapid, high-resolution, and spectrum agile channel measurements on commercial off-the-shelf (COTS) devices. To address these critical issues, this paper proposes EV-Sounding, a novel methodology for visual assisted electronic channel sounding. Based on frequency domain channel sounding, EV-Sounding leverages cameras for visual estimation of sparsity locations to reduce the number of frequency samples, thus speeding up the sounding process. EV-Sounding achieves both high-resolution CIR measurements and spectrum agility. We prototype an EV-Sounding system on COTS devices. Our real-world experimental results and extensive simulations validate EV-Sounding's performance. Jin Teng, Fan Yang 0059, Adam C. Champion, Dong Xuan, Hong Luan, Yuan F. Zheng |
INFOCOM | 6 |