22 citations · 22 across the 5 of their papers we have counts for
5 papers
Detecting Breast Carcinoma Metastasis on Whole-Slide Images by Partially Subsampled Multiple Instance Learning
Baichen Yu, Xuetong Li, Jing Zhou +1
Breast cancer is the most prevalent cancer in women worldwide. Histopathology image analysis serves as the gold standard for cancer diagnosis. In this regard, whole-slide imaging (…
Decentralized EM Algorithm for Gaussian Mixtures under Data Heterogeneity and Partial Labeling
Xuetong Li, Shuyuan Wu, Bin Du +1
We systematically study several network-based Expectation-Maximization (EM) algorithms for the Gaussian mixture model within decentralized federated learning (DFL). Our theoretical…
Gaussian Mixture Model with Rare Events
Xuetong Li, Jing Zhou, Hansheng Wang
We study here a Gaussian Mixture Model (GMM) with rare events data. In this case, the commonly used Expectation-Maximization (EM) algorithm exhibits extremely slow numerical conver…
A Selective Review on Statistical Methods for Massive Data Computation: Distributed Computing, Subsampling, and Minibatch Techniques
Xuetong Li, Yuan Gao, Hong Chang +11
This paper presents a selective review of statistical computation methods for massive data analysis. A huge amount of statistical methods for massive data computation have been rap…
Subnetwork Estimation for Spatial Autoregressive Models in Large-scale Networks
Xuetong Li, Feifei Wang, Wei Lan +1
Large-scale networks are commonly encountered in practice (e.g., Facebook and Twitter) by researchers. In order to study the network interaction between different nodes of large-sc…