2 citations · 2 across the 5 of their papers we have counts for
5 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…
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…
DAE-Fuse: An Adaptive Discriminative Autoencoder for Multi-Modality Image Fusion
Yuchen Guo, Ruoxiang Xu, Rongcheng Li +1
In extreme scenarios such as nighttime or low-visibility environments, achieving reliable perception is critical for applications like autonomous driving, robotics, and surveillanc…
LenAtten: An Effective Length Controlling Unit For Text Summarization
Zhongyi Yu, Zhenghao Wu, Hao Zheng +3
Fixed length summarization aims at generating summaries with a preset number of words or characters. Most recent researches incorporate length information with word embeddings as t…