Demo Data from VLDB 2026 / reviewers in the wild / expert
Zaizhou Yang
dblp:404/0333
· DBLP profile ↗
2ranked-venue papers
1as first author
2since 2021 · last 2025
0009-0005-5162-2787ORCID · corroborated
Domains — the database's venue-derived domains; a paper can count in several
Computer networks · 2 · 1 first-author · 2 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.
| Human-computer interaction and pervasive computing
1 paper |
Wearable and physiological sensing · 100% | |
| Computer networks
2 papers |
Wireless sensing and localization · 77% Internet of things and sensor networks · 23% | |
| Artificial intelligence
1 paper |
Image recognition and object detection · 100% | |
| Network and information security
1 paper |
Biometric security · 100% | |
| Interdisciplinary, comprehensive, and emerging computing
1 paper |
Smart cities and intelligent transportation · 100% |
Topics — the 5 heaviest of 7, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Computer vision › Image recognition and object detection › object recognition › category recognition
traffic sign recognition |
0.9 | 1 | 2025 | LiDARMarker: Machine-friendly Road Markers for Smart Driving Systems · SenSys 2025 |
Wearable and physiological sensing › on-body communication
body-coupled communication |
0.9 | 1 | 2025 | Demo Abstract: Using Fingerprint Scanner for On-Body Messaging · SenSys 2025 |
Wearable and physiological sensing
on-body communication |
0.9 | 1 | 2025 | Demo Abstract: Using Fingerprint Scanner for On-Body Messaging · SenSys 2025 |
Wireless sensing and localization › optical sensing
LiDAR sensing |
0.9 | 1 | 2025 | LiDARMarker: Machine-friendly Road Markers for Smart Driving Systems · SenSys 2025 |
Biometric security
biometric authentication |
0.9 | 1 | 2025 | Demo Abstract: Using Fingerprint Scanner for On-Body Messaging · SenSys 2025 |
Methods — techniques the papers use, named apart from their topics
infrared materials · 2.6capacitive sensing · 2.6body channel communication · 2.6LiDAR decoding · 2.6
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2025 | Demo Abstract: Using Fingerprint Scanner for On-Body MessagingabstractFingerprint scanners are widely used in security applications. In this work, we demonstrate that capacitive fingerprint scanners can also serve as universal communication devices. In this demonstration, we show that a reliable data transmission channel can be established between a wearable device and the fingerprint scanner, using the human body as the medium. We also envision several promising applications that arise from this new opportunity. Zaizhou Yang, Yihui Yan, Fengxu Yang, Zhice Yang |
SenSys | 1 |
| 2025 | LiDARMarker: Machine-friendly Road Markers for Smart Driving SystemsabstractAs assisted and autonomous driving systems become more prevalent, the need for accurate interpretation of road traffic signs is critical for driving safety and functionality. Current camera-based recognition methods face challenges due to the variability of traffic signs and environmental conditions, leading to potential inaccuracies. To address this, we propose LiDARMarker, a type of machine-readable traffic sign using infrared materials, making it invisible to human drivers but detectable by LiDAR-equipped vehicles. This paper introduces the design, fabrication, and efficient decoding methods of LiDARMarker. LiDARMarker is tailored to the emerging capabilities and needs of modern vehicles, enhancing their ability and accuracy in traffic sign recognition while avoiding interference with human drivers. Through the proposal of LiDARMarker, we aim to inspire the rethinking of the design of traffic sign systems in the context of modern vehicles. Fengxu Yang, Zaizhou Yang, Zhice Yang |
SenSys | 2 |