Demo Data from EDBT 2026 / reviewers in the wild / expert
Binghan Xu
dblp:153/7612
· 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
Graphics, computer vision, multimedia, augmented reality and games · 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 graphics and multimedia
1 paper |
Visualization and visual analytics · 100% | |
| Interdisciplinary, comprehensive, and emerging computing
1 paper |
Smart cities and intelligent transportation · 100% |
Topics — the 2 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Visualization and visual analytics › interactive data exploration
urban data exploration |
0.2 | 1 | 2014 | Visual Analysis of Public Utility Service Problems in a Metropolis · IEEE Trans. Vis. Comput. Graph. 2014 |
Visualization and visual analytics
visual analytics |
0.2 | 1 | 2014 | Visual Analysis of Public Utility Service Problems in a Metropolis · IEEE Trans. Vis. Comput. Graph. 2014 |
Methods — techniques the papers use, named apart from their topics
interactive visualization · 0.4aggregate event transformation · 0.4
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2014 | Visual Analysis of Public Utility Service Problems in a MetropolisabstractIssues about city utility services reported by citizens can provide unprecedented insights into the various aspects of such services. Analysis of these issues can improve living quality through evidence-based decision making. However, these issues are complex, because of the involvement of spatial and temporal components, in addition to having multi-dimensional and multivariate natures. Consequently, exploring utility service problems and creating visual representations are difficult. To analyze these issues, we propose a visual analytics process based on the main tasks of utility service management. We also propose an aggregate method that transforms numerous issues into legible events and provide visualizations for events. In addition, we provide a set of tools and interaction techniques to explore such issues. Our approach enables administrators to make more informed decisions. Jiawan Zhang, E. Yanli, Yahui Zhao, Binghan Xu, Xiaoru Yuan |
IEEE Trans. Vis. Comput. Graph. | 5 |