5 papers
Partially-shared Imaging Regression on Integrating Heterogeneous Brain-Cognition Associations across Alzheimer's Diagnoses
Yang Sui, Qi Xu, Ting Li +2
Alzheimer's Disease Neuroimaging Initiative (ADNI) diagnostic groups present strong heterogeneous associations among demographic, imaging, and cognitive data. We propose a novel PA…
Representation Retrieval Learning for Heterogeneous Data Integration
Qi Xu, Annie Qu
In the era of big data, large-scale, multi-source, multi-modality datasets are increasingly ubiquitous, offering unprecedented opportunities for predictive modeling and scientific…
Distributional Treatment Effect Estimation across Heterogeneous Sites via Optimal Transport
Borna Bateni, Yubai Yuan, Qi Xu +1
We propose a novel framework for synthesizing counterfactual treatment group data in a target site by integrating full treatment and control group data from a source site with cont…
Multi-task Learning for Heterogeneous Multi-source Block-Wise Missing Data
Yang Sui, Qi Xu, Yang Bai +1
Multi-task learning (MTL) has emerged as an imperative machine learning tool to solve multiple learning tasks simultaneously and has been successfully applied to healthcare, market…
Multi-task Learning for Heterogeneous Data via Integrating Shared and Task-Specific Encodings
Yang Sui, Qi Xu, Yang Bai +1
Multi-task learning (MTL) has become an essential machine learning tool for addressing multiple learning tasks simultaneously and has been effectively applied across fields such as…