7 papers
AI-driven Multimodal Representation Learning for Latent Mediation Structure Discovery of Socioeconomic Disadvantage, Psychosocial Factors, and Cardiometabolic Multimorbidity: Insights from the All of Us Research Program
Cong Cao, Shuangge Ma
Social disadvantage is associated with multimorbidity, but the pathways linking social conditions to disease burden remain poorly understood. We developed an AI-driven multimodal m…
Sparse Bayesian Deep Functional Learning with Structured Region Selection
Xiaoxian Zhu, Yingmeng Li, Shuangge Ma +1
In modern applications such as ECG monitoring, neuroimaging, wearable sensing, and industrial equipment diagnostics, complex and continuously structured data are ubiquitous, presen…
Robust biexciton preparation for entangled photon-pair generation by single-shot Floquet driving
Jun-Yong Yan, Paul C. A. Hagen, Hang-Yu Ge +10
Quantum emitters driven by resonant two-photon excitation are a leading source for deterministically generated entangled photon pairs, essential for scalable photonic quantum techn…
Heterogeneous gene network estimation for single-cell transcriptomic data via a joint regularized deep neural network
Jingyuan Yang, Tao Li, Tianyi Wang +2
Estimation of intracellular gene networks has been a critical component of single-cell transcriptomic data analysis, which can provide crucial insights into the complex interplay b…
Joint identification of spatially variable genes via a network-assisted Bayesian regularization approach
Mingcong Wu, Yang Li, Shuangge Ma +1
Identifying genes that display spatial patterns is critical to investigating expression interactions within a spatial context and further dissecting biological understanding of com…
Supervised Bayesian joint graphical model for simultaneous network estimation and subgroup identification
Xing Qin, Xu Liu, Shuangge Ma +1
Heterogeneity is a fundamental characteristic of cancer. To accommodate heterogeneity, subgroup identification has been extensively studied and broadly categorized into unsupervise…
Identification of Influencing Factors on Self-reported Count Data with Multiple Potential Inflated Values
Yang Li, Mingcong Wu, Mengyun Wu +1
The Online Chauffeured Service Demand (OCSD) research is an exploratory market study of designated driver services in China. Researchers are interested in the influencing factors o…