activity
20182022
most citedMCare: Learning with Missing Modalities in Multimodal Healthcare Data

89 citations · 98 across the 4 of their papers we have counts for

collaborators

9 papers

cs.LG202289 cited

MCare: Learning with Missing Modalities in Multimodal Healthcare Data

Chaohe Zhang, Xu Chu, Liantao Ma +4

Multimodal electronic health record (EHR) data are widely used in clinical applications. Conventional methods usually assume that each sample (patient) is associated with the unifi…

cs.LG20203 cited

CovidCare: Transferring Knowledge from Existing EMR to Emerging Epidemic for Interpretable Prognosis

Liantao Ma, Xinyu Ma, Junyi Gao +7

Due to the characteristics of COVID-19, the epidemic develops rapidly and overwhelms health service systems worldwide. Many patients suffer from systemic life-threatening problems…

stat.AP20202 cited

Enabling Cost-Effective Population Health Monitoring By Exploiting Spatiotemporal Correlation: An Empirical Study

Dawei Chen, Jiangtao Wang, Wenjie Ruan +2

Because of its important role in health policy-shaping, population health monitoring (PHM) is considered a fundamental block for public health services. However, traditional public…

cs.LG20194 cited

AdaCare: Explainable Clinical Health Status Representation Learning via Scale-Adaptive Feature Extraction and Recalibration

Liantao Ma, Junyi Gao, Yasha Wang +6

Deep learning-based health status representation learning and clinical prediction have raised much research interest in recent years. Existing models have shown superior performanc…

cs.LG2018

Multi-Label Robust Factorization Autoencoder and its Application in Predicting Drug-Drug Interactions

Xu Chu, Yang Lin, Jingyue Gao +3

Drug-drug interactions (DDIs) are a major cause of preventable hospitalizations and deaths. Predicting the occurrence of DDIs helps drug safety professionals allocate investigative…

cs.SI2018

Social-Network-Assisted Worker Recruitment in Mobile Crowd Sensing

Jiangtao Wang, Feng Wang, Yasha Wang +3

Worker recruitment is a crucial research problem in Mobile Crowd Sensing (MCS). While previous studies rely on a specified platform with a pre-assumed large user pool, this paper l…