Demonstration venue · read-only. Every page can be browsed; the buttons that would change it are switched off. Create an account to run TaxoReview on your own data. A simulation from public publication records: the people listed were not invited and did not agree to review.
? Tutorial for this page

Qingqv Wei

dblp:405/4397 · also Qingqu Wei · DBLP profile ↗
← Back
1ranked-venue papers
0as first author
1since 2021 · last 2025
0009-0001-8661-1704ORCID · verified

Domains — the database's venue-derived domains; a paper can count in several

Graphics, 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
Transfer learning and domain adaptation · 50% Deep learning architectures and training · 50%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Machine learning › Deep learning architectures and training
scaling laws
0.912025
Scaling Laws for Data-Efficient Visual Transfer Learning · ACM Multimedia 2025
Machine learning › Transfer learning and domain adaptation
visual transfer learning
0.912025
Scaling Laws for Data-Efficient Visual Transfer Learning · ACM Multimedia 2025
YearPublicationVenuePosition
2025 Scaling Laws for Data-Efficient Visual Transfer Learning
Wenxuan Yang, Qingqv Wei, Chenxi Ma, Weimin Tan, Bo Yan 0001
ACM Multimedia2