Demo Data from EDBT 2026 / reviewers in the wild / expert
Sukwon Chung
dblp:01/2799
· DBLP profile ↗
2ranked-venue papers
1as first author
0since 2021 · last 2009
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1Databases, data management, data science and information retrieval · 1 · 1 first-authorGraphics, computer vision, multimedia, augmented reality and games · 1Applied, interdisciplinary, general and emerging computing · 1 · 1 first-author
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.
| Artificial intelligence
1 paper |
Video understanding and tracking · 50% Image recognition and object detection · 50% | |
| Databases, data mining, and information retrieval
1 paper |
Web and social media mining · 100% | |
| Computer networks
1 paper |
Internet architecture and protocols · 100% |
Topics — the 3 heaviest of 5, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Web and social media mining › web mining
web graph analysis |
0.1 | 1 | 2009 | The web of nations · WWW 2009 |
Computer vision › Video understanding and tracking
object tracking |
0.1 | 1 | 2007 | Peripheral-Foveal Vision for Real-time Object Recognition and Tracking in Video · IJCAI 2007 |
Computer vision › Image recognition and object detection › efficient visual recognition
real-time recognition |
0.1 | 1 | 2007 | Peripheral-Foveal Vision for Real-time Object Recognition and Tracking in Video · IJCAI 2007 |
Methods — techniques the papers use, named apart from their topics
web-scale crawl · 0.2graph analysis · 0.2peripheral-foveal vision · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2009 | The web of nationsabstractIn this paper, we report on a large-scale study of structural differences among the national webs. The study is based on a web-scale crawl conducted in the summer 2008. More specifically, we study two graphs derived from this crawl, the nation graph, with nodes corresponding to nations and edges - to links among nations, and the host graph, with nodes corresponding to hosts and edges - to hyperlinks among pages on the hosts. Contrary to some of the previous work [2], our results show that webs of different nations are often very different from each other, both in terms of their internal structure, and in terms of their connectivity with other nations. Sukwon Chung, Dungjit Shiowattana, Pavel Dmitriev, Su Chan |
WWW | 1 |
| 2007 | Peripheral-Foveal Vision for Real-time Object Recognition and Tracking in Video
Stephen Gould, Joakim Arfvidsson, Adrian Kaehler, Benjamin Sapp, Marius Messner, Gary R. Bradski, Paul Baumstarck, Sukwon Chung, Andrew Y. Ng |
IJCAI | 8 |