601 citations · 1.3k across the 40 of their papers we have counts for
8 papers · 1 filter
Deep causal representation learning for unsupervised domain adaptation
Raha Moraffah, Kai Shu, Adrienne Raglin +1
Studies show that the representations learned by deep neural networks can be transferred to similar prediction tasks in other domains for which we do not have enough labeled data.…
Detecting Fake News with Weak Social Supervision
Kai Shu, Ahmed Hassan Awadallah, Susan Dumais +1
Limited labeled data is becoming the largest bottleneck for supervised learning systems. This is especially the case for many real-world tasks where large scale annotated examples…
I Am Not What I Write: Privacy Preserving Text Representation Learning
Ghazaleh Beigi, Kai Shu, Ruocheng Guo +2
Online users generate tremendous amounts of textual information by participating in different activities, such as writing reviews and sharing tweets. This textual data provides opp…
Applications of Social Media in Hydroinformatics: A Survey
Yufeng Yu, Yuelong Zhu, Dingsheng Wan +3
Floods of research and practical applications employ social media data for a wide range of public applications, including environmental monitoring, water resource managing, disaste…
The Role of User Profile for Fake News Detection
Kai Shu, Xinyi Zhou, Suhang Wang +2
Consuming news from social media is becoming increasingly popular. Social media appeals to users due to its fast dissemination of information, low cost, and easy access. However, s…
Hierarchical Propagation Networks for Fake News Detection: Investigation and Exploitation
Kai Shu, Deepak Mahudeswaran, Suhang Wang +1
Consuming news from social media is becoming increasingly popular. However, social media also enables the widespread of fake news. Because of its detrimental effects brought by soc…