Demo Data from VLDB 2026 / reviewers in the wild / expert
Zhongwei Zheng
dblp:161/9639
· DBLP profile ↗
2ranked-venue papers
0as first author
1since 2021 · last 2021
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1 · 1 since 2021Computer 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 |
Wireless sensing and localization · 77% Internet of things and sensor networks · 23% | |
| Human-computer interaction and pervasive computing
1 paper |
Wearable and physiological sensing · 100% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Wearable and physiological sensing
posture detection |
0.2 | 1 | 2015 | Radio signature based posture recognition using WBSN · IPSN 2015 |
Wireless sensing and localization
RF-based localization |
0.2 | 1 | 2015 | Radio signature based posture recognition using WBSN · IPSN 2015 |
Internet of things and sensor networks
wireless body area network |
0.1 | 1 | 2015 | Radio signature based posture recognition using WBSN · IPSN 2015 |
Methods — techniques the papers use, named apart from their topics
sensor fusion · 0.4RSSI · 0.4
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2021 | New global optimization algorithms based on multi-loop distributed control systems with serial structure and ring structure for solving global optimization problems
Baiquan Lu, Zhongwei Zheng, Tingzhang Liu |
Eng. Appl. Artif. Intell. | 2 |
| 2015 | Radio signature based posture recognition using WBSNabstractA body network of Inertial Measurement Units (IMUs) is a well known solution for posture recognition based on accelerometer and magnetometer data fusion. However sensors and especially the magnetometer can be disturbed by the environment. Considering a Wireless Body Sensor Network (WBSN), we propose to use available radio received power measurements as an alternative to the magnetometer. We show with simulation and real data, that the radio signal used for WBSN communications can also provide useful location information despite highly noisy Received Signal Strength Indications (RSSI). We propose a solution for the static case that leads to a very simple yet Efficient algorithm. Alexis Aulery, Christian Roland, Jean-Philippe Diguet, Zhongwei Zheng, Olivier Sentieys, Pascal Scalart |
IPSN | 4 |