Demo Data from EDBT 2026 / reviewers in the wild / expert
Jiangxiao Han
dblp:293/2503
· DBLP profile ↗
3ranked-venue papers
2as first author
3since 2021 · last 2025
0000-0003-4362-4414ORCID · corroborated
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 3 · 2 first-author · 3 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 |
Image recognition and object detection · 50% Efficient and distributed learning · 25% Graph learning · 25% |
Topics — the 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Machine learning › Efficient and distributed learning
collaborative learning |
0.8 | 1 | 2024 | Co-Student: Collaborating Strong and Weak Students for Sparsely Annotated Object Detection · ECCV (47) 2024 |
Machine learning › Graph learning › limited supervision › multi-view semi-supervised learning
co-training |
0.8 | 1 | 2024 | Co-Student: Collaborating Strong and Weak Students for Sparsely Annotated Object Detection · ECCV (47) 2024 |
Computer vision › Image recognition and object detection
object detection |
0.8 | 1 | 2024 | Co-Student: Collaborating Strong and Weak Students for Sparsely Annotated Object Detection · ECCV (47) 2024 |
Computer vision › Image recognition and object detection › object detection › weakly supervised object detection
sparsely annotated object detection |
0.8 | 1 | 2024 | Co-Student: Collaborating Strong and Weak Students for Sparsely Annotated Object Detection · ECCV (47) 2024 |
Methods — techniques the papers use, named apart from their topics
co-training · 0.8
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2025 | Dynamic feature extraction and histopathology domain shift alignment for mitosis detection
Jiangxiao Han, Shikang Wang, Lianjun Wu, Wenyu Liu 0001 |
Image Vis. Comput. | 1 |
| 2024 | Co-Student: Collaborating Strong and Weak Students for Sparsely Annotated Object Detection
Lianjun Wu, Jiangxiao Han, Zengqiang Zheng, Xinggang Wang |
ECCV (47) | 2 |
| 2024 | High-performance mitosis detection using single-level feature and hybrid label assignment
Jiangxiao Han, Shikang Wang, Xianbo Deng, Wenyu Liu 0001 |
Image Vis. Comput. | 1 |