28 citations · 43 across the 6 of their papers we have counts for
6 papers
BotTriNet: A Unified and Efficient Embedding for Social Bots Detection via Metric Learning
Jun Wu, Xuesong Ye, Yanyuet Man
The rapid and accurate identification of bot accounts in online social networks is an ongoing challenge. In this paper, we propose BOTTRINET, a unified embedding framework that lev…
FineEHR: Refine Clinical Note Representations to Improve Mortality Prediction
Jun Wu, Xuesong Ye, Chengjie Mou +1
Monitoring the health status of patients in the Intensive Care Unit (ICU) is a critical aspect of providing superior care and treatment. The availability of large-scale electronic…
BotShape: A Novel Social Bots Detection Approach via Behavioral Patterns
Jun Wu, Xuesong Ye, Chengjie Mou
An essential topic in online social network security is how to accurately detect bot accounts and relieve their harmful impacts (e.g., misinformation, rumor, and spam) on genuine u…
A Unified Meta-Learning Framework for Dynamic Transfer Learning
Jun Wu, Jingrui He
Transfer learning refers to the transfer of knowledge or information from a relevant source task to a target task. However, most existing works assume both tasks are sampled from a…
Towards Two-view 6D Object Pose Estimation: A Comparative Study on Fusion Strategy
Jun Wu, Lilu Liu, Yue Wang +1
Current RGB-based 6D object pose estimation methods have achieved noticeable performance on datasets and real world applications. However, predicting 6D pose from single 2D image f…
Robust Data Preprocessing for Machine-Learning-Based Disk Failure Prediction in Cloud Production Environments
Shujie Han, Jun Wu, Erci Xu +7
To provide proactive fault tolerance for modern cloud data centers, extensive studies have proposed machine learning (ML) approaches to predict imminent disk failures for early rem…