Demo Data from VLDB 2026 / reviewers in the wild / expert
Qinzheng Li
dblp:273/1493
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2024
—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 |
Speech recognition and synthesis · 67% Representation and self-supervised learning · 33% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Natural language and speech › Speech recognition and synthesis › spoken language understanding
multi-intent spoken language understanding |
0.8 | 1 | 2024 | Decoupling Breaks Data Barriers: A Decoupled Pre-training Framework for Multi-intent Spoken Language Understanding · IJCAI 2024 |
Machine learning › Representation and self-supervised learning
pre-training |
0.8 | 1 | 2024 | Decoupling Breaks Data Barriers: A Decoupled Pre-training Framework for Multi-intent Spoken Language Understanding · IJCAI 2024 |
Natural language and speech › Speech recognition and synthesis
spoken language understanding |
0.8 | 1 | 2024 | Decoupling Breaks Data Barriers: A Decoupled Pre-training Framework for Multi-intent Spoken Language Understanding · IJCAI 2024 |
Methods — techniques the papers use, named apart from their topics
pre-training · 0.8decoupling · 0.8
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2024 | Decoupling Breaks Data Barriers: A Decoupled Pre-training Framework for Multi-intent Spoken Language Understanding
Libo Qin 0001, Qiguang Chen, Jingxuan Zhou, Qinzheng Li, Chunlin Lu, Wanxiang Che |
IJCAI | 4 |