3 papers
stat.ME2026
Deviation Tests for a High-dimensional Mean
Zengjing Chen, Ruihan Liu, Jianfeng Yao
This paper investigates testing for deviation of a high-dimensional mean vector . In contrast to the standard one-sample significance test of the form: $H_0^\texttt{e…
stat.ME2024
Alignment and matching tests for high-dimensional tensor signals via tensor contraction
Ruihan Liu, Zhenggang Wang, Jianfeng Yao
We consider two hypothesis testing problems for low-rank and high-dimensional tensor signals, namely the tensor signal alignment and tensor signal matching problems. These problems…
astro-ph.GA2019
A machine learning approach for identifying the counterparts of submillimetre galaxies and applications to the GOODS-North field
Ruihan Henry Liu, Ryley Hill, Douglas Scott +7
Identifying the counterparts of submillimetre (submm) galaxies (SMGs) in multiwavelength images is a critical step towards building accurate models of the evolution of strongly sta…