37 citations · 61 across the 6 of their papers we have counts for
6 papers
Assisting Clinical Decisions for Scarcely Available Treatment via Disentangled Latent Representation
Bing Xue, Ahmed Sameh Said, Ziqi Xu +5
Extracorporeal membrane oxygenation (ECMO) is an essential life-supporting modality for COVID-19 patients who are refractory to conventional therapies. However, the proper treatmen…
Learning to Rank Normalized Entropy Curves with Differentiable Window Transformation
Hanyang Liu, Shuai Yang, Feng Qi +1
Recent automated machine learning systems often use learning curves ranking models to inform decisions about when to stop unpromising trials and identify better model configuration…
HiPAL: A Deep Framework for Physician Burnout Prediction Using Activity Logs in Electronic Health Records
Hanyang Liu, Sunny S. Lou, Benjamin C. Warner +3
Burnout is a significant public health concern affecting nearly half of the healthcare workforce. This paper presents the first end-to-end deep learning framework for predicting ph…
Objective-aware Traffic Simulation via Inverse Reinforcement Learning
Guanjie Zheng, Hanyang Liu, Kai Xu +1
Traffic simulators act as an essential component in the operating and planning of transportation systems. Conventional traffic simulators usually employ a calibrated physical car-f…
Predicting Intraoperative Hypoxemia with Hybrid Inference Sequence Autoencoder Networks
Hanyang Liu, Michael C. Montana, Dingwen Li +3
We present an end-to-end model using streaming physiological time series to predict near-term risk for hypoxemia, a rare, but life-threatening condition known to cause serious pati…
Semi-supervised Federated Learning for Activity Recognition
Yuchen Zhao, Hanyang Liu, Honglin Li +2
Training deep learning models on in-home IoT sensory data is commonly used to recognise human activities. Recently, federated learning systems that use edge devices as clients to s…