Demo Data from VLDB 2026 / reviewers in the wild / expert
Bao-Quan Shi
dblp:96/9754
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 2011
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Graphics, computer vision, multimedia, augmented reality and games · 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.
| Computer graphics and multimedia
1 paper |
Geometric modeling and processing · 100% | |
| Theoretical computer science
1 paper |
Algorithms and data structures · 100% |
Topics — the 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Geometric modeling and processing
point cloud processing |
0.1 | 1 | 2011 | Adaptive simplification of point cloud using k-means clustering · Comput. Aided Des. 2011 |
Geometric modeling and processing › point cloud processing
point cloud simplification |
0.1 | 1 | 2011 | Adaptive simplification of point cloud using k-means clustering · Comput. Aided Des. 2011 |
Algorithms and data structures
clustering |
0.0 | 1 | 2011 | Adaptive simplification of point cloud using k-means clustering · Comput. Aided Des. 2011 |
Algorithms and data structures › clustering
k-means clustering |
0.0 | 1 | 2011 | Adaptive simplification of point cloud using k-means clustering · Comput. Aided Des. 2011 |
Methods — techniques the papers use, named apart from their topics
k-means clustering · 0.2
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2011 | Adaptive simplification of point cloud using k-means clustering
Bao-Quan Shi |
Comput. Aided Des. | 1 |