activity
20162025
most citedLabel Dependent Attention Model for Disease Risk Prediction Using Multimodal Electronic Health Records

20 citations · 31 across the 6 of their papers we have counts for

collaborators

6 papers

cs.SI2025★ 1 cited

MPPFND: A Dataset and Analysis of Detecting Fake News with Multi-Platform Propagation

Congyuan Zhao, Lingwei Wei, Ziming Qin +3

Fake news spreads widely on social media, leading to numerous negative effects. Most existing detection algorithms focus on analyzing news content and social context to detect fake…

cs.CL2022★ 1 cited

Improved Target-specific Stance Detection on Social Media Platforms by Delving into Conversation Threads

Yupeng Li, Haorui He, Shaonan Wang +2

Target-specific stance detection on social media, which aims at classifying a textual data instance such as a post or a comment into a stance class of a target issue, has become an…

cs.AI2022

Label-dependent and event-guided interpretable disease risk prediction using EHRs

Shuai Niu, Yunya Song, Qing Yin +2

Electronic health records (EHRs) contain patients' heterogeneous data that are collected from medical providers involved in the patient's care, including medical notes, clinical ev…

cs.AI2022★ 20 cited

Label Dependent Attention Model for Disease Risk Prediction Using Multimodal Electronic Health Records

Shuai Niu, Qing Yin, Yunya Song +2

Disease risk prediction has attracted increasing attention in the field of modern healthcare, especially with the latest advances in artificial intelligence (AI). Electronic health…

cs.DB2018

PP-DBLP: Modeling and Generating Attributed Public-Private Networks with DBLP

Xin Huang, Jiaxin Jiang, Byron Choi +3

In many online social networks (e.g., Facebook, Google+, Twitter, and Instagram), users prefer to hide her/his partial or all relationships, which makes such private relationships…

cs.IR2016★ 9 cited

A Synthetic Approach for Recommendation: Combining Ratings, Social Relations, and Reviews

Guang-Neng Hu, Xin-Yu Dai, Yunya Song +2

Recommender systems (RSs) provide an effective way of alleviating the information overload problem by selecting personalized choices. Online social networks and user-generated cont…