3 papers
cs.LG2026
Data-centric Prompt Tuning for Dynamic Graphs
Yufei Peng, Cheng Yang, Zhengjie Fan +1
Dynamic graphs have attracted increasing attention due to their ability to model complex and evolving relationships in real-world scenarios. Traditional approaches typically pre-tr…
cs.CV2025
Semantic-guided Fine-tuning of Foundation Model for Long-tailed Visual Recognition
Yufei Peng, Yonggang Zhang, Yiu-ming Cheung
The variance in class-wise sample sizes within long-tailed scenarios often results in degraded performance in less frequent classes. Fortunately, foundation models, pre-trained on…
cs.LG2024
Data-centric Graph Learning: A Survey
Yuxin Guo, Deyu Bo, Cheng Yang +5
The history of artificial intelligence (AI) has witnessed the significant impact of high-quality data on various deep learning models, such as ImageNet for AlexNet and ResNet. Rece…