VLDB 2026 Research / reviewers in the wild / expert
Caixuan Luo
dblp:388/1812
· DBLP profile ↗
2ranked-venue papers
1as first author
2since 2021 · last 2024
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 2 · 1 first-author · 2 since 2021Graphics, computer vision, multimedia, augmented reality and games · 2 · 1 first-author · 2 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
2 papers |
Representation and self-supervised learning · 100% | |
| Interdisciplinary, comprehensive, and emerging computing
1 paper |
Medical and health informatics · 50% Bioinformatics and computational biology · 50% |
Topics — the 5 heaviest of 5, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Machine learning › Representation and self-supervised learning
contrastive learning |
1.5 | 2 | 2024 | Self-Promoted Clustering-based Contrastive Learning for Brain Networks Pretraining · IJCAI 2024 Simple Contrastive Multi-View Clustering with Data-Level Fusion · IJCAI 2024 |
Machine learning › Representation and self-supervised learning › contrastive learning
cluster-level contrastive learning |
0.8 | 1 | 2024 | Self-Promoted Clustering-based Contrastive Learning for Brain Networks Pretraining · IJCAI 2024 |
Machine learning › Representation and self-supervised learning › multi-view learning
multi-view clustering |
0.8 | 1 | 2024 | Simple Contrastive Multi-View Clustering with Data-Level Fusion · IJCAI 2024 |
Bioinformatics and computational biology › neuroscience › neuroinformatics
brain network analysis |
0.2 | 1 | 2024 | Self-Promoted Clustering-based Contrastive Learning for Brain Networks Pretraining · IJCAI 2024 |
Medical and health informatics › neuroimaging
neuroimaging analysis |
0.2 | 1 | 2024 | Self-Promoted Clustering-based Contrastive Learning for Brain Networks Pretraining · IJCAI 2024 |
Methods — techniques the papers use, named apart from their topics
self-supervised pretraining · 1.5clustering · 1.5data-level fusion · 0.8contrastive learning · 0.8
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2024 | Simple Contrastive Multi-View Clustering with Data-Level Fusion
Caixuan Luo, Jie Xu 0044, Yazhou Ren 0001, Junbo Ma, Xiaofeng Zhu 0001 |
IJCAI | 1 |
| 2024 | Self-Promoted Clustering-based Contrastive Learning for Brain Networks Pretraining
Junbo Ma, Caixuan Luo |
IJCAI | 2 |