EDBT 2026 Demo / reviewers in the wild / expert
Jesse Z. Fang
dblp:47/5427
· DBLP profile ↗
3ranked-venue papers
1as first author
0since 2021 · last 2013
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Systems, architecture and hardware · 2 · 1 first-authorComputer 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 |
Internet of things and sensor networks · 87% Edge and fog computing · 13% | |
| Computer architecture, parallel and distributed computing, and storage systems
1 paper |
Parallel and multicore computing · 77% High-performance computing · 23% |
Topics — the 4 heaviest of 5, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Internet of things and sensor networks › environmental sensing
air quality monitoring |
0.2 | 1 | 2013 | Low-cost personal air-quality monitor · MobiSys 2013 |
Internet of things and sensor networks
environmental sensing |
0.2 | 1 | 2013 | Low-cost personal air-quality monitor · MobiSys 2013 |
Parallel and multicore computing
parallel programming environment |
0.1 | 1 | 2007 | Parallel programming environment: a key to translating tera-scale platforms into a big success · PPoPP 2007 |
Edge and fog computing
cloud-assisted sensing |
0.0 | 1 | 2013 | Low-cost personal air-quality monitor · MobiSys 2013 |
Methods — techniques the papers use, named apart from their topics
statistical calibration modeling · 0.2
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2013 | Low-cost personal air-quality monitorabstractWe present the design, implementation, and preliminary results of PAM - a low-cost and portable personal air quality monitor that provides real-time air quality measurements for the user's immediate environment. PAM consists of a PAM client and a cloud-side PAM service. The PAM client utilizes two inexpensive dust sensors to obtain raw particulate concentration measurement, and two Arduino boards for local filtering, web services, and communication with PAM service. The cloud-side PAM service constructs a statistical model of air quality and provides PAM clients with context-dependent calibration curves. Together, PAM is able to approximate PM2.5, PM10, and AQI measurement for users in-situ and at low cost. Xiaofan Jiang 0001, Ji Jia, Gansha Wu, Jesse Z. Fang |
MobiSys | 4 |
| 2007 | Parallel programming environment: a key to translating tera-scale platforms into a big successabstractNo abstract available. Jesse Z. Fang |
PPoPP | 1 |
| 2005 | XAMM: A High-Performance Automatic Memory Management System with Memory-Constrained Designs
Gansha Wu, Guei-Yuan Lueh, Jesse Z. Fang, Jinzhan Peng, Victor Ying |
HiPEAC | 4 |