4 papers
TAMI: Taming Heterogeneity in Temporal Interactions for Temporal Graph Link Prediction
Zhongyi Yu, Jianqiu Wu, Zhenghao Wu +4
Temporal graph link prediction aims to predict future interactions between nodes in a graph based on their historical interactions, which are encoded in node embeddings. We observe…
Mask What Matters: Controllable Text-Guided Masking for Self-Supervised Medical Image Analysis
Ruilang Wang, Shuotong Xu, Bowen Liu +3
The scarcity of annotated data in specialized domains such as medical imaging presents significant challenges to training robust vision models. While self-supervised masked image m…
Leveraging CORAL-Correlation Consistency Network for Semi-Supervised Left Atrium MRI Segmentation
Xinze Li, Runlin Huang, Zhenghao Wu +4
Semi-supervised learning (SSL) has been widely used to learn from both a few labeled images and many unlabeled images to overcome the scarcity of labeled samples in medical image s…
M-Impute: Mask-guided Representation Learning for Missing Value Imputation
Zhongyi Yu, Zhenghao Wu, Shuhan Zhong +4
Missing values are a common problem that poses significant challenges to data analysis and machine learning. This problem necessitates the development of an effective imputation me…