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Xin Bing

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#machine learning Preprint May 2025

Federated Independent Component Analysis via Spectral Alignment and Robust Aggregation

This paper proposes a novel three-step aggregation method that first aligns the permutations across all local estimators via a particular spectral clustering approach, then aligns the signs within each estimated cluster via another tailored spectral approach, and finally applies the geometric median for robust aggregat...

Xin Bing, Dian Jin, Yu-Qian Zhang · 0 citations
Open access Jul 2026

Convergence and Optimality of the EM Algorithm Under Multi-Component Gaussian Mixture Models

Two novel analytical approaches are developed, each tailored to a different separation regime, reflecting two complementary perspectives on the use of EM: parameter estimation and clustering, which allow the number of Gaussian components, the minimum mixing weight, the component separation, and the dimension to grow wi...

Xin Bing, Dehan Kong, Bing-Qing Li · 0 citations
Open access Aug 2026

Assessment of 5-year relative survival among patients with cervical, endometrial, and ovarian cancers in Taizhou, Eastern China: a population-based period analysis

Using period analysis, the most up-to-date 5-year RS for CC, EC, and OC in Taizhou, Eastern China is provided, and sustained survival improvements over the past 15 years for these cancers are found, providing epidemiological support for optimizing local gynecological cancer screening, treatment and targeted cancer cont...

Xiaojiao Zhao, Ruijiao Lei, Xin Bing et al. · 0 citations

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