2 citations · 2 across the 2 of their papers we have counts for
3 papers
cs.LG2022★ 2 cited
Are Your Reviewers Being Treated Equally? Discovering Subgroup Structures to Improve Fairness in Spam Detection
Jiaxin Liu, Yuefei Lyu, Xi Zhang +1
User-generated reviews of products are vital assets of online commerce, such as Amazon and Yelp, while fake reviews are prevalent to mislead customers. GNN is the state-of-the-art…
cs.LG2022
Interpretable and Effective Reinforcement Learning for Attacking against Graph-based Rumor Detection
Yuefei Lyu, Xiaoyu Yang, Jiaxin Liu +3
Social networks are frequently polluted by rumors, which can be detected by advanced models such as graph neural networks. However, the models are vulnerable to attacks and underst…
eess.SP2019
Deep Anomaly Detection in Packet Payload
Jiaxin Liu, Xucheng Song, Yingjie Zhou +4
With the widespread adoption of cloud services, especially the extensive deployment of plenty of Web applications, it is important and challenging to detect anomalies from the pack…