Demo Data from VLDB 2026 / reviewers in the wild / expert
Jiajia Tan
dblp:47/9704
· DBLP profile ↗
2ranked-venue papers
2as first author
0since 2021 · last 2018
0009-0000-1216-1643ORCID · corroborated
Domains — the database's venue-derived domains; a paper can count in several
Graphics, computer vision, multimedia, augmented reality and games · 1 · 1 first-authorApplied, 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.
| Theoretical computer science
1 paper |
Mathematical optimization · 100% |
Topics — the 1 heaviest of 1, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Mathematical optimization › control theory
optimal filtering |
0.0 | 1 | 2011 | An optimal adaptive filtering algorithm with a polynomial prediction model · Sci. China Inf. Sci. 2011 |
Methods — techniques the papers use, named apart from their topics
adaptive filtering · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2018 | An AR system for artistic creativity educationabstractCreativity and innovation training is the core of the art education. Modern technology provides more effective tools to help students obtain artistic creativity. In this paper, we propose to employ augmented reality technology to assist artistic creativity education. We first analyze the inefficiency of traditional artistic creation training. We then introduce our AR-based smartphone app with technical detail and explain how it can improve accelerate artistic creativity training. We finally show 3 examples created by our AR app to demonstrate the effectiveness of our proposed method. Jiajia Tan, Boyang Gao, Xiaobo Lu |
VRST | 1 |
| 2011 | An optimal adaptive filtering algorithm with a polynomial prediction model
Jiajia Tan, Jian Qiu Zhang 0001 |
Sci. China Inf. Sci. | 1 |