most citedLearning with linear mixed model for group recommendation systems

9 citations · 22 across the 5 of their papers we have counts for

collaborators

5 papers

cs.LG2022★ 1 cited

EDoG: Adversarial Edge Detection For Graph Neural Networks

Xiaojun Xu, Yue Yu, Hanzhang Wang +3

Graph Neural Networks (GNNs) have been widely applied to different tasks such as bioinformatics, drug design, and social networks. However, recent studies have shown that GNNs are…

stat.AP2022★ 9 cited

Learning with linear mixed model for group recommendation systems

Baode Gao, Guangpeng Zhan, Hanzhang Wang +2

Accurate prediction of users' responses to items is one of the main aims of many computational advising applications. Examples include recommending movies, news articles, songs, jo…

cs.SE2021★ 3 cited

Groot: An Event-graph-based Approach for Root Cause Analysis in Industrial Settings

Hanzhang Wang, Zhengkai Wu, Huai Jiang +4

For large-scale distributed systems, it's crucial to efficiently diagnose the root causes of incidents to maintain high system availability. The recent development of microservice…

cs.SI2021★ 2 cited

TagPick: A System for Bridging Micro-Video Hashtags and E-commerce Categories

Li He, Dingxian Wang, Hanzhang Wang +2

Hashtag, a product of user tagging behavior, which can well describe the semantics of the user-generated content personally over social network applications, e.g., the recently pop…

cs.SE2021★ 7 cited

No Free Lunch: Microservice Practices Reconsidered in Industry

Qilin Xiang, Xin Peng, Chuan He +5

Microservice architecture advocates a number of technologies and practices such as lightweight container, container orchestration, and DevOps, with the promised benefits of faster…