activity
20142021
most citedA Quasi-Newton Method Based Vertical Federated Learning Framework for Logistic Regression

57 citations · 88 across the 7 of their papers we have counts for

collaborators

7 papers

cs.CR2021★ 11 cited

Efficient Batch Homomorphic Encryption for Vertically Federated XGBoost

Wuxing Xu, Hao Fan, Kaixin Li +1

More and more orgainizations and institutions make efforts on using external data to improve the performance of AI services. To address the data privacy and security concerns, fede…

cs.LG2021

A High-fidelity, Machine-learning Enhanced Queueing Network Simulation Model for Hospital Ultrasound Operations

Yihan Pan, Zhenghang Xu, Jin Guang +10

We collaborate with a large teaching hospital in Shenzhen, China and build a high-fidelity simulation model for its ultrasound center to predict key performance metrics, including…

cs.CY2020★ 1 cited

Clinical prediction system of complications among COVID-19 patients: a development and validation retrospective multicentre study

Ghadeer O. Ghosheh, Bana Alamad, Kai-Wen Yang +10

Existing prognostic tools mainly focus on predicting the risk of mortality among patients with coronavirus disease 2019. However, clinical evidence suggests that COVID-19 can resul…

cs.LG2019★ 57 cited

A Quasi-Newton Method Based Vertical Federated Learning Framework for Logistic Regression

Kai Yang, Tao Fan, Tianjian Chen +2

Data privacy and security becomes a major concern in building machine learning models from different data providers. Federated learning shows promise by leaving data at providers l…

cs.CV2018★ 2 cited

Application of Faster R-CNN model on Human Running Pattern Recognition

Kairan Yang, Feng Geng

The advance algorithms like Faster Regional Convolutional Neural Network (Faster R-CNN) models are suitable to identify classified moving objects, due to the efficiency in learning…

cs.LG2018★ 8 cited

Representation Learning with Autoencoders for Electronic Health Records: A Comparative Study

Najibesadat Sadati, Milad Zafar Nezhad, Ratna Babu Chinnam +1

Increasing volume of Electronic Health Records (EHR) in recent years provides great opportunities for data scientists to collaborate on different aspects of healthcare research by…

stat.AP2014★ 9 cited

A predictive analytics approach to reducing avoidable hospital readmission

Issac Shams, Saeede Ajorlou, Kai Yang

Hospital readmission has become a critical metric of quality and cost of healthcare. Medicare anticipates that nearly $17 billion is paid out on the 20% of patients who are readmit…