Demo Data from EDBT 2026 / reviewers in the wild / expert
Shifeng Bao
dblp:413/8342
· DBLP profile ↗
2ranked-venue papers
2as first author
2since 2021 · last 2025
0009-0001-3501-2437ORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Graphics, computer vision, multimedia, augmented reality and games · 1 · 1 first-author · 1 since 2021Applied, interdisciplinary, general and emerging computing · 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 |
Representation and self-supervised learning · 100% |
Topics — the 4 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
causal representation learning |
0.9 | 1 | 2025 | CausalMVC: Causal Content-Style Representation Learning for Deep Multi-View Clustering · ACM Multimedia 2025 |
Machine learning › Representation and self-supervised learning › multi-view learning › multi-view clustering
deep multi-view clustering |
0.9 | 1 | 2025 | CausalMVC: Causal Content-Style Representation Learning for Deep Multi-View Clustering · ACM Multimedia 2025 |
Machine learning › Representation and self-supervised learning › multi-view learning
multi-view clustering |
0.9 | 1 | 2025 | CausalMVC: Causal Content-Style Representation Learning for Deep Multi-View Clustering · ACM Multimedia 2025 |
Machine learning › Representation and self-supervised learning › representation learning › disentangled representation learning
style-content disentanglement |
0.9 | 1 | 2025 | CausalMVC: Causal Content-Style Representation Learning for Deep Multi-View Clustering · ACM Multimedia 2025 |
Methods — techniques the papers use, named apart from their topics
contrastive learning · 0.9causal representation learning · 0.9
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2025 | Hierarchical Prompt-Guided Alignment for Multi-view Clustering
Shifeng Bao, Zhe Xue, Shilong Ou, Amin Beheshti, Yuankai Qi |
ICIC (12) | 1 |
| 2025 | CausalMVC: Causal Content-Style Representation Learning for Deep Multi-View Clustering
Shifeng Bao, Zhe Xue, Qi Chen 0014, Shilong Ou, Amin Beheshti, Quan Z. Sheng, Anton van den Hengel, Yuankai Qi |
ACM Multimedia | 1 |