EDBT 2026 Demo / reviewers in the wild / expert
Zhengtao Guo
dblp:401/6217
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2025
—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 |
Information extraction and text analysis · 50% Vision and language · 50% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Natural language and speech › Information extraction and text analysis
document understanding |
0.9 | 1 | 2025 | A Token-Level Text Image Foundation Model for Document Understanding · ICCV 2025 |
Computer vision › Vision and language › vision-language model
vision-language foundation model |
0.9 | 1 | 2025 | A Token-Level Text Image Foundation Model for Document Understanding · ICCV 2025 |
Methods — techniques the papers use, named apart from their topics
token-level representation · 0.9
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2025 | A Token-Level Text Image Foundation Model for Document Understanding
Tongkun Guan, Pei Fu, Zhengtao Guo, Wei Shen 0002, Tiezhu Yue, Chen Duan, Qianyi Jiang, Junfeng Luo, Xiaokang Yang 0001 |
ICCV | 4 |