Demo Data from EDBT 2026 / reviewers in the wild / expert
Mingke Yan
dblp:388/1909
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2024
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1 · 1 since 2021Graphics, computer vision, multimedia, augmented reality and games · 1 · 1 since 2021
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 · 77% Deep learning architectures and training · 23% |
Topics — the 1 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Computer vision › Video understanding and tracking › activity recognition
human activity recognition |
0.8 | 1 | 2024 | Multi-scale Context-Aware Networks Based on Fragment Association for Human Activity Recognition · IJCAI 2024 |
Methods — techniques the papers use, named apart from their topics
multi-scale context-aware network · 0.8fragment association · 0.8
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2024 | Multi-scale Context-Aware Networks Based on Fragment Association for Human Activity Recognition
Zhiqiong Wang, Qi Shen 0002, Ningfeng Que, Mingke Yan, Junchang Xin |
IJCAI | 7 |