activity
20182022
most citedFastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling

458 citations · 668 across the 24 of their papers we have counts for

collaborators

43 papers

cs.LG2022

Clinical trial site matching with improved diversity using fair policy learning

Rakshith S Srinivasa, Cheng Qian, Brandon Theodorou +4

The ongoing pandemic has highlighted the importance of reliable and efficient clinical trials in healthcare. Trial sites, where the trials are conducted, are chosen mainly based on…

cs.SI20227 cited

PopNet: Real-Time Population-Level Disease Prediction with Data Latency

Junyi Gao, Cao Xiao, Lucas M. Glass +1

Population-level disease prediction estimates the number of potential patients of particular diseases in some location at a future time based on (frequently updated) historical dis…

math.NA20214 cited

MTC: Multiresolution Tensor Completion from Partial and Coarse Observations

Chaoqi Yang, Navjot Singh, Cao Xiao +3

Existing tensor completion formulation mostly relies on partial observations from a single tensor. However, tensors extracted from real-world data are often more complex due to: (i…

cs.LG2021

Multi-version Tensor Completion for Time-delayed Spatio-temporal Data

Cheng Qian, Nikos Kargas, Cao Xiao +3

Real-world spatio-temporal data is often incomplete or inaccurate due to various data loading delays. For example, a location-disease-time tensor of case counts can have multiple d…

cs.LG2021

Change Matters: Medication Change Prediction with Recurrent Residual Networks

Chaoqi Yang, Cao Xiao, Lucas Glass +1

Deep learning is revolutionizing predictive healthcare, including recommending medications to patients with complex health conditions. Existing approaches focus on predicting all m…

cs.LG2021

Machine Learning Applications for Therapeutic Tasks with Genomics Data

Kexin Huang, Cao Xiao, Lucas M. Glass +3

Thanks to the increasing availability of genomics and other biomedical data, many machine learning approaches have been proposed for a wide range of therapeutic discovery and devel…