754 citations · 1.7k across the 32 of their papers we have counts for
32 papers
Subject clustering by IF-PCA and several recent methods
Dieyi Chen, Jiashun Jin, Zheng Tracy Ke
Subject clustering (i.e., the use of measured features to cluster subjects, such as patients or cells, into multiple groups) is a problem of great interest. In recent years, many a…
Phase transition for detecting a small community in a large network
Jiashun Jin, Zheng Tracy Ke, Paxton Turner +1
How to detect a small community in a large network is an interesting problem, including clique detection as a special case, where a naive degree-based -test was shown to be po…
Co-citation and Co-authorship Networks of Statisticians
Pengsheng Ji, Jiashun Jin, Zheng Tracy Ke +1
We collected and cleaned a large data set on publications in statistics. The data set consists of the coauthor relationships and citation relationships of 83, 331 papers published…
The SCORE normalization, especially for highly heterogeneous network and text data
Zheng Tracy Ke, Jiashun Jin
SCORE was introduced as a spectral approach to network community detection. Since many networks have severe degree heterogeneity, the ordinary spectral clustering (OSC) approach to…
Allocation of COVID-19 Testing Budget on a Commute Network of Counties
Yaxuan Huang, Zheng Tracy Ke, Jiashun Jin
The screening testing is an effective tool to control the early spread of an infectious disease such as COVID-19. When the total testing capacity is limited, we aim to optimally al…
Optimal Adaptivity of Signed-Polygon Statistics for Network Testing
Jiashun Jin, Zheng Tracy Ke, Shengming Luo
Given a symmetric social network, we are interested in testing whether it has only one community or multiple communities. The desired tests should (a) accommodate severe degree het…