Demo Data from SIGIR 2026 / reviewers in the wild / expert
Jiaqing Shao
dblp:97/8474
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2010
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 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 |
Geometric modeling and processing · 100% | |
| Interdisciplinary, comprehensive, and emerging computing
1 paper |
Computational science and engineering · 100% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Geometric modeling and processing
shape analysis |
0.1 | 1 | 2010 | Irregular Shape Symmetry Analysis: Theory and Application to Quantitative Galaxy Classification · IEEE Trans. Pattern Anal. Mach. Intell. 2010 |
Geometric modeling and processing › shape analysis
symmetry analysis |
0.1 | 1 | 2010 | Irregular Shape Symmetry Analysis: Theory and Application to Quantitative Galaxy Classification · IEEE Trans. Pattern Anal. Mach. Intell. 2010 |
Computational science and engineering
astronomy |
0.0 | 1 | 2010 | Irregular Shape Symmetry Analysis: Theory and Application to Quantitative Galaxy Classification · IEEE Trans. Pattern Anal. Mach. Intell. 2010 |
Methods — techniques the papers use, named apart from their topics
symmetry measures · 0.2geometric transformation · 0.2
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2010 | Irregular Shape Symmetry Analysis: Theory and Application to Quantitative Galaxy ClassificationabstractThis paper presents a set of imperfectly symmetric measures based on a series of geometric transformation operations for quantitatively measuring the "amount" of symmetry of arbitrary shapes. The definitions of both bilateral symmetricity and rotational symmetricity give new insight into analyzing the geometrical property of a shape and enable characterizing arbitrary shapes in a new way. We developed a set of criteria for quantitative galaxy classification using our proposed irregular shape symmetry measures. Our study has demonstrated the effectiveness of the proposed method for the characterization of the shape of the celestial bodies. The concepts described in the paper are applicable to many fields, such as mathematics, artificial intelligence, digital image processing, robotics, biomedicine, etc. Falei Guo, Jiaqing Shao |
IEEE Trans. Pattern Anal. Mach. Intell. | 3 |