Demo Data from EDBT 2026 / reviewers in the wild / expert
Hualong Ke
dblp:435/3531
· DBLP profile ↗
1ranked-venue papers
1as 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 first-author · 1 since 2021Graphics, computer vision, multimedia, augmented reality and games · 1 · 1 first-author · 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 |
Efficient and distributed learning · 100% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Machine learning › Efficient and distributed learning › federated learning › federated continual learning
federated class-incremental learning |
0.9 | 1 | 2025 | Task-Aware Prompt Gradient Projection for Parameter-Efficient Tuning Federated Class-Incremental Learning · ICCV 2025 |
Machine learning › Efficient and distributed learning
federated learning |
0.9 | 1 | 2025 | Task-Aware Prompt Gradient Projection for Parameter-Efficient Tuning Federated Class-Incremental Learning · ICCV 2025 |
Machine learning › Efficient and distributed learning
parameter-efficient fine-tuning |
0.9 | 1 | 2025 | Task-Aware Prompt Gradient Projection for Parameter-Efficient Tuning Federated Class-Incremental Learning · ICCV 2025 |
Methods — techniques the papers use, named apart from their topics
prompt tuning · 0.9gradient projection · 0.9
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2025 | Task-Aware Prompt Gradient Projection for Parameter-Efficient Tuning Federated Class-Incremental Learning
Hualong Ke, Jiangming Shi, Yachao Zhang 0001, Fangyong Wang, Yanyun Qu |
ICCV | 1 |