Demo Data from EDBT 2026 / reviewers in the wild / expert
Qinghao Han
dblp:395/8961
· DBLP profile ↗
2ranked-venue papers
0as first author
2since 2021 · last 2025
0009-0007-7143-7233ORCID · 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 |
Video understanding and tracking · 39% Efficient and distributed learning · 30% Vision and language · 30% |
Topics — the 3 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Computer vision › Vision and language › vision-language model
multimodal large language model |
0.9 | 1 | 2025 | FrameFusion: Combining Similarity and Importance for Video Token Reduction on Large Vision Language Models · ICCV 2025 |
Machine learning › Efficient and distributed learning
token reduction |
0.9 | 1 | 2025 | FrameFusion: Combining Similarity and Importance for Video Token Reduction on Large Vision Language Models · ICCV 2025 |
Computer vision › Video understanding and tracking
video token compression |
0.9 | 1 | 2025 | FrameFusion: Combining Similarity and Importance for Video Token Reduction on Large Vision Language Models · ICCV 2025 |
Methods — techniques the papers use, named apart from their topics
token pruning · 0.9token merging · 0.9
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2025 | FrameFusion: Combining Similarity and Importance for Video Token Reduction on Large Vision Language Models
Tianyu Fu 0004, Tengxuan Liu, Qinghao Han, Guohao Dai 0001, Shengen Yan, Huazhong Yang, Xuefei Ning, Yu Wang 0002 |
ICCV | 3 |
| 2025 | Deep subspace clustering via latent representation learning
Shenglei Pei, Qinghao Han, Zepu Hao |
Appl. Intell. | 2 |