Demo Data from VLDB 2026 / reviewers in the wild / expert
Ken Shao
dblp:324/8663
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2022
0000-0001-8249-1111ORCID · reported
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 |
Learning paradigms · 67% Efficient and distributed learning · 33% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Machine learning › Learning paradigms
incremental learning |
0.6 | 1 | 2022 | Incremental Task Learning with Incremental Rank Updates · ECCV (23) 2022 |
Machine learning › Efficient and distributed learning › parameter-efficient fine-tuning
low-rank adaptation |
0.6 | 1 | 2022 | Incremental Task Learning with Incremental Rank Updates · ECCV (23) 2022 |
Machine learning › Learning paradigms › continual learning
task incremental learning |
0.6 | 1 | 2022 | Incremental Task Learning with Incremental Rank Updates · ECCV (23) 2022 |
Methods — techniques the papers use, named apart from their topics
matrix rank update · 0.6
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2022 | Incremental Task Learning with Incremental Rank Updates
Rakib Hyder, Ken Shao, Boyu Hou, Panos P. Markopoulos, Ashley Prater-Bennette, Muhammad Salman Asif |
ECCV (23) | 2 |