Demo Data from EDBT 2026 / reviewers in the wild / expert
Ningchuan Li
dblp:383/1778
· DBLP profile ↗
2ranked-venue papers
0as first author
2since 2021 · last 2025
0009-0005-2852-1312ORCID · corroborated
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 2 · 2 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 |
Segmentation and scene understanding · 100% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Computer vision › Segmentation and scene understanding › image segmentation
efficient segmentation |
0.8 | 1 | 2024 | Lite-SAM Is Actually What You Need for Segment Everything · ECCV (34) 2024 |
Computer vision › Segmentation and scene understanding › prompt-based segmentation
segment anything model |
0.8 | 1 | 2024 | Lite-SAM Is Actually What You Need for Segment Everything · ECCV (34) 2024 |
Methods — techniques the papers use, named apart from their topics
knowledge distillation · 0.8
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2025 | V-trex: Visual-prompt enhanced detection with attention selection fusion module and random-crop quadruplet loss
Yuanjie Yu, Ningchuan Li, Shengyu Pan, Qun Jin, Jianhai Fu |
Knowl. Based Syst. | 3 |
| 2024 | Lite-SAM Is Actually What You Need for Segment Everything
Jianhai Fu, Yuanjie Yu, Ningchuan Li, Qichao Chen, Jianping Xiong, Zhiyu Xiang |
ECCV (34) | 3 |