VLDB 2026 Research / reviewers in the wild / expert
Enguang Fan
dblp:366/7184
· DBLP profile ↗
1ranked-venue papers
1as first author
1since 2021 · last 2025
0009-0001-8551-9615ORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Computer networks · 1 · 1 first-author · 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 |
Wireless sensing and localization · 100% |
Topics — the 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Wireless sensing and localization
indoor localization |
0.9 | 1 | 2025 | Poster: Scalable Indoor Localization with Non-Cooperative Wi-Fi Ranging · MobiCom 2025 |
Wireless sensing and localization › ranging
time-of-flight ranging |
0.9 | 1 | 2025 | Poster: Scalable Indoor Localization with Non-Cooperative Wi-Fi Ranging · MobiCom 2025 |
Wireless sensing and localization › ranging
wifi ranging |
0.9 | 1 | 2025 | Poster: Scalable Indoor Localization with Non-Cooperative Wi-Fi Ranging · MobiCom 2025 |
Wireless sensing and localization › indoor localization
pedestrian dead reckoning |
0.3 | 1 | 2025 | Poster: Scalable Indoor Localization with Non-Cooperative Wi-Fi Ranging · MobiCom 2025 |
Methods — techniques the papers use, named apart from their topics
crowdsourced bootstrapping · 0.9
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2025 | Poster: Scalable Indoor Localization with Non-Cooperative Wi-Fi RangingabstractAccurate, ubiquitous indoor localization has long been a central goal in wireless systems, yet most proposed methods remain impractical for large-scale deployment. We present PeepLoc, a scalable Wi-Fi-based system that leverages existing infrastructure and unmodified mobile devices. PeepLoc operates in any indoor space with standards-compliant Wi-Fi APs and regular pedestrian traffic. It combines (a) extracting non-cooperative time-of-flight (ToF) from any AP, and (b) a crowdsourced bootstrapping approach using pedestrian dead reckoning (PDR) to localize APs as anchors. Implemented on commodity hardware, PeepLoc is evaluated across four buildings, achieving 3.41m mean and 3.06m median error, outperforming commercial indoor localization systems and approaching GPS-level accuracy outdoors. Enguang Fan, Emerson Sie, Federico Cifuentes-Urtubey, Deepak Vasisht |
MobiCom | 1 |