\documentclass[10pt]{article}

\usepackage{fullpage}
\usepackage{CJKutf8} 
\usepackage[utf8]{inputenc}
\usepackage{setspace}
\usepackage{parskip}
\usepackage{titlesec}
\usepackage[section]{placeins}
\usepackage{xcolor}
\usepackage{breakcites}
\usepackage{lineno}
\usepackage{hyphenat}





\PassOptionsToPackage{hyphens}{url}
\usepackage[colorlinks = true,
            linkcolor = blue,
            urlcolor  = blue,
            citecolor = blue,
            anchorcolor = blue]{hyperref}
\usepackage{etoolbox}
\makeatletter
\patchcmd\@combinedblfloats{\box\@outputbox}{\unvbox\@outputbox}{}{%
  \errmessage{\noexpand\@combinedblfloats could not be patched}%
}%
\makeatother


\usepackage{natbib}




\renewenvironment{abstract}
  {{\bfseries\noindent{\abstractname}\par\nobreak}\footnotesize}
  {\bigskip}

\titlespacing{\section}{0pt}{*3}{*1}
\titlespacing{\subsection}{0pt}{*2}{*0.5}
\titlespacing{\subsubsection}{0pt}{*1.5}{0pt}


\usepackage{authblk}


\usepackage{graphicx}
\usepackage[space]{grffile}
\usepackage{latexsym}
\usepackage{textcomp}
\usepackage{longtable}
\usepackage{tabulary}
\usepackage{booktabs,array,multirow}
\usepackage{amsfonts,amsmath,amssymb}
\providecommand\citet{\cite}
\providecommand\citep{\cite}
\providecommand\citealt{\cite}
% You can conditionalize code for latexml or normal latex using this.
\newif\iflatexml\latexmlfalse
\providecommand{\tightlist}{\setlength{\itemsep}{0pt}\setlength{\parskip}{0pt}}%

\AtBeginDocument{\DeclareGraphicsExtensions{.pdf,.PDF,.eps,.EPS,.png,.PNG,.tif,.TIF,.jpg,.JPG,.jpeg,.JPEG}}

\usepackage[utf8]{inputenc}
\usepackage[english]{babel}



\usepackage{float}








\begin{document}
\begin{CJK}{UTF8}{gbsn}

\title{}



\author[1]{Wenhan Li}%
\affil[1]{Affiliation not available}%


\vspace{-1em}



  
  \date{April 29, 2026}


\begingroup
\let\center\flushleft
\let\endcenter\endflushleft
\maketitle
\endgroup





\selectlanguage{english}
\begin{abstract}
\textbf{Specific emitter identification (SEI) is a unique physical-layer
security technology that plays a crucial role in protecting wireless
communication systems from various security threats.
\protect\hypertarget{OLE_LINK15}{}{}}\protect\hypertarget{OLE_LINK14}{}{\textbf{Although
SEI based on artificial neural network}} \textbf{models} \textbf{has
achieved good identification performance, its performance degrades when
labeled samples are} \textbf{limited.} \textbf{To address this issue,
this} \textbf{letter} \textbf{proposes a few-shot SEI method based on a
contrastive masked learning framework. This method combines contrastive
learning and masked learning to enhance the model's representation
capability, and it consists of an encoder, a signal decoder, a feature
decoder, and a momentum encoder. Simulation experiments on the
open-source datasets LoRa and ADS-B show that the proposed method
outperforms other} \textbf{SEI} \textbf{methods.} {}%
\end{abstract}%



\sloppy




\selectlanguage{english}
\FloatBarrier
\end{CJK}\end{document}

