VLDB 2026 Research / reviewers in the wild / expert
Yun Wang 0021
dblp:36/3235-21
· DBLP profile ↗
3ranked-venue papers
0as first author
3since 2021 · last 2024
0009-0002-7569-1785ORCID · conflict
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 3 · 3 since 2021Graphics, computer vision, multimedia, augmented reality and games · 3 · 3 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
3 papers |
3D vision · 71% Vision and language · 18% Generative modeling · 5% | |
| Interdisciplinary, comprehensive, and emerging computing
1 paper |
Medical and health informatics · 100% |
Topics — the 6 heaviest of 7, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Computer vision › 3D vision
brain decoding |
1.5 | 2 | 2024 | NeuroPictor: Refining fMRI-to-Image Reconstruction via Multi-individual Pretraining and Multi-level Modulation · ECCV (51) 2024 MinD-3D: Reconstruct High-Quality 3D Objects in Human Brain · ECCV (47) 2024 |
Computer vision › 3D vision
3d reconstruction |
0.8 | 1 | 2024 | MinD-3D: Reconstruct High-Quality 3D Objects in Human Brain · ECCV (47) 2024 |
Computer vision › 3D vision › brain decoding
fMRI-to-image reconstruction |
0.8 | 1 | 2024 | NeuroPictor: Refining fMRI-to-Image Reconstruction via Multi-individual Pretraining and Multi-level Modulation · ECCV (51) 2024 |
Medical and health informatics
neuroimaging |
0.8 | 1 | 2024 | MinD-3D: Reconstruct High-Quality 3D Objects in Human Brain · ECCV (47) 2024 |
Machine learning › Representation and self-supervised learning
functional alignment |
0.2 | 1 | 2024 | Enhancing Cross-Subject fMRI-to-Video Decoding with Global-Local Functional Alignment · ECCV (83) 2024 |
Machine learning › Generative modeling
image generation |
0.2 | 1 | 2024 | NeuroPictor: Refining fMRI-to-Image Reconstruction via Multi-individual Pretraining and Multi-level Modulation · ECCV (51) 2024 |
Methods — techniques the papers use, named apart from their topics
fMRI · 1.5diffusion · 1.5multi-level modulation · 0.8multi-individual pretraining · 0.8
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2024 | MinD-3D: Reconstruct High-Quality 3D Objects in Human Brain
Jianxiong Gao, Yuqian Fu, Yun Wang 0021, Xuelin Qian, Jianfeng Feng, Yanwei Fu 0001 |
ECCV (47) | 3 |
| 2024 | NeuroPictor: Refining fMRI-to-Image Reconstruction via Multi-individual Pretraining and Multi-level Modulation
Jingyang Huo, Yikai Wang 0002, Yun Wang 0021, Xuelin Qian, Chong Li 0007, Yanwei Fu 0001, Jianfeng Feng |
ECCV (51) | 3 |
| 2024 | Enhancing Cross-Subject fMRI-to-Video Decoding with Global-Local Functional Alignment
Chong Li 0007, Xuelin Qian, Yun Wang 0021, Jingyang Huo, Xiangyang Xue 0001, Yanwei Fu 0001, Jianfeng Ma 0001 |
ECCV (83) | 3 |