1 citations · 1 across the 5 of their papers we have counts for
6 papers
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 with Covariate-Overlap Regularization
Yang Sui, Qi Xu, Yang Bai +1
Multi-task learning improves data efficiency by sharing information across related tasks, but indiscriminate sharing can be harmful when their covariate distributions and response…
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…
Individualized Dynamic Latent Factor Model for Multi-resolutional Data with Application to Mobile Health
Jiuchen Zhang, Fei Xue, Qi Xu +2
Mobile health has emerged as a major success for tracking individual health status, due to the popularity and power of smartphones and wearable devices. This has also brought great…
Multi-Label Residual Weighted Learning for Individualized Combination Treatment Rule
Qi Xu, Xiaoke Cao, Geping Chen +3
Individualized treatment rules (ITRs) have been widely applied in many fields such as precision medicine and personalized marketing. Beyond the extensive studies on ITR for binary…