1 citations · 1 across the 4 of their papers we have counts for
5 papers
COINS: Any-Stage-Valid and Utility-Oriented Sequential Conformal Prediction
Wangcheng Li, Nan Qiao, Xu Guo +1
In clinical diagnosis, sequential screening, and cascaded prediction systems, information is often acquired in stages, with intermediate predictions guiding whether to act on the a…
Scalable and Distributed Individualized Treatment Rules for Massive Datasets
Nan Qiao, Wangcheng Li, Jingxiao Zhang +1
Synthesizing information from multiple data sources is crucial for constructing accurate individualized treatment rules (ITRs). However, privacy concerns often present significant…
Rank-based transfer learning for high-dimensional survival data with application to sepsis data
Nan Qiao, Haowei Jiang, Cunjie Lin
Sepsis remains a critical challenge due to its high mortality and complex prognosis. To address data limitations in studying MSSA sepsis, we extend existing transfer learning frame…
Efficient Distributed Learning over Decentralized Networks with Convoluted Support Vector Machine
Canyi Chen, Nan Qiao, Liping Zhu
This paper addresses the problem of efficiently classifying high-dimensional data over decentralized networks. Penalized support vector machines (SVMs) are widely used for high-dim…
Optimal subsampling for the Cox proportional hazards model with massive survival data
Nan Qiao, Wangcheng Li, Feng Xiao +2
The use of massive survival data has become common in survival analysis. In this study, a subsampling algorithm is proposed for the Cox proportional hazards model with time-depende…