Hua Wang

Learning Semi-Supervised Representation Enrichment Using Longitudinal Imaging-Genetic Data

2020

Alzheimer's Disease (AD) is a progressive memory disorder that causes irreversible cognitive decline. Recently, many statistical learning methods have been presented to predict cognitive declines by using longitudinal imaging data. However, missing records that broadly …

DP-HyPO: An Adaptive Private Hyperparameter Optimization Framework

2023 · arXiv (Cornell University)

Hyperparameter optimization, also known as hyperparameter tuning, is a widely recognized technique for improving model performance. Regrettably, when training private ML models, many practitioners often overlook the privacy risks associated with hyperparameter optimization, which could …

Evolutionary Dynamic Database Partitioning Optimization for Privacy and Utility

2023 · IEEE Transactions on Dependable and Secure Computing

Distributed database system (DDBS) technology has shown its advantages with respect to query processing efficiency, scalability, and reliability. Moreover, by partitioning attributes of sensitive associations into different fragments, DDBSs can be used to protect data …

CAMS: A Cost-Aware Migration Scheme for Cloud Object Storage Systems

2024

Cloud object storage systems provide massive data storage capabilities where data is stored in different storage clusters. Storing data according to access characteristics efficiently in different clusters is a challenging task. Methods considering past data …