Demo Data from VLDB 2026 / reviewers in the wild / expert
Peihong Teng
dblp:393/3978
· DBLP profile ↗
4ranked-venue papers
0as first author
4since 2021 · last 2026
0000-0002-8283-5962ORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 4 · 4 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 |
Segmentation and scene understanding · 50% Generative modeling · 50% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Machine learning › Generative modeling
cross-modal generation |
0.9 | 1 | 2025 | UMSCS: A Novel Unpaired Multimodal Image Segmentation Method Via Cross-Modality Generative and Semi-supervised Learning · Int. J. Comput. Vis. 2025 |
Computer vision › Segmentation and scene understanding
multimodal segmentation |
0.9 | 1 | 2025 | UMSCS: A Novel Unpaired Multimodal Image Segmentation Method Via Cross-Modality Generative and Semi-supervised Learning · Int. J. Comput. Vis. 2025 |
Methods — techniques the papers use, named apart from their topics
semi-supervised learning · 0.9
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2026 | Toward bias-resilient radiology report generation: Hierarchical contrastive learning and adaptive knowledge graph integration
Bo Wang 0105, Deming Guo, Feiyang Yang, Hongda Zhang, Peihong Teng, Adriano Tavares, Hao Xu 0012 |
Knowl. Based Syst. | 5 |
| 2025 | HKRG: Hierarchical knowledge integration for radiology report generation
Bo Wang 0105, Peihong Teng, Hongda Zhang, Feiyang Yang, Xingcheng Yi, Tianyang Zhang 0011, Adriano Jose Tavares, Hao Xu 0012 |
Expert Syst. Appl. | 2 |
| 2025 | UMSCS: A Novel Unpaired Multimodal Image Segmentation Method Via Cross-Modality Generative and Semi-supervised Learning
Feiyang Yang, Peihong Teng, Guifeng Liu |
Int. J. Comput. Vis. | 4 |
| 2025 | Overcoming the challenges of multi-modal medical image sharing: A novel data distillation strategy via contrastive learning
Taoli Du, Feiyang Yang, Peihong Teng, Xingcheng Yi, Tianyang Zhang 0011 |
Neurocomputing | 5 |