Academic Writing Latex

% Chinese university thesis examples
\documentclass{thuthesis}    % Tsinghua University
\documentclass{sjtuthesis}   % Shanghai Jiao Tong University
\documentclass{ustcthesis}   % USTC
\documentclass{xjtuthesis}   % Xi'an Jiao Tong University

% International thesis
\documentclass{Dissertate}   % Harvard-style
\documentclass[phd]{novathesis}  % Universidade Nova de Lisboa

\documentclass[conference]{IEEEtran}

% Preamble — packages
\usepackage{amsmath,amssymb}
\usepackage{graphicx}
\usepackage{booktabs}
\usepackage{hyperref}
\usepackage[utf8]{inputenc}

\begin{document}

\title{Your Paper Title}
\author{
  \IEEEauthorblockN{First Author}
  \IEEEauthorblockA{Affiliation\\Email: first@example.com}
  \and
  \IEEEauthorblockN{Second Author}
  \IEEEauthorblockA{Affiliation\\Email: second@example.com}
}
\maketitle

\begin{abstract}
Your abstract here (150-250 words).
\end{abstract}

\begin{IEEEkeywords}
keyword1, keyword2, keyword3
\end{IEEEkeywords}

\section{Introduction}
\label{sec:intro}
Your introduction text...

\section{Related Work}
\section{Methodology}
\section{Experiments}
\section{Results}
\section{Conclusion}

\bibliographystyle{IEEEtran}
\bibliography{references}

\end{document}

\documentclass[12pt,a4paper]{report}

\begin{document}

\frontmatter
\include{chapters/titlepage}
\include{chapters/abstract}
\include{chapters/acknowledgments}
\tableofcontents
\listoffigures
\listoftables

\mainmatter
\include{chapters/introduction}
\include{chapters/literature-review}
\include{chapters/methodology}
\include{chapters/results}
\include{chapters/discussion}
\include{chapters/conclusion}

\appendix
\include{chapters/appendix-a}

\backmatter
\bibliographystyle{apalike}
\bibliography{references}

\end{document}

\begin{figure}[htbp]
  \centering
  \includegraphics[width=0.8\columnwidth]{figures/architecture.pdf}
  \caption{System architecture overview. The input module processes
           raw data before passing to the transformer encoder.}
  \label{fig:architecture}
\end{figure}

% Two subfigures side by side
\usepackage{subcaption}
\begin{figure}[htbp]
  \centering
  \begin{subfigure}[b]{0.48\columnwidth}
    \includegraphics[width=\textwidth]{fig_a.pdf}
    \caption{Training loss}
    \label{fig:loss}
  \end{subfigure}
  \hfill
  \begin{subfigure}[b]{0.48\columnwidth}
    \includegraphics[width=\textwidth]{fig_b.pdf}
    \caption{Validation accuracy}
    \label{fig:acc}
  \end{subfigure}
  \caption{Training dynamics over 100 epochs.}
  \label{fig:training}
\end{figure}

\begin{table}[htbp]
  \centering
  \caption{Comparison of methods on benchmark dataset.}
  \label{tab:results}
  \begin{tabular}{lccc}
    \toprule
    Method & Precision & Recall & F1 \\
    \midrule
    Baseline    & 0.72 & 0.68 & 0.70 \\
    Method A    & 0.81 & 0.76 & 0.78 \\
    \textbf{Ours} & \textbf{0.89} & \textbf{0.85} & \textbf{0.87} \\
    \bottomrule
  \end{tabular}
\end{table}

% Inline math
The loss function $\mathcal{L}(\theta) = -\sum_{i=1}^{N} y_i \log \hat{y}_i$
minimizes cross-entropy.

% Display equation (numbered)
\begin{equation}
  \text{Attention}(Q, K, V) = \text{softmax}\left(\frac{QK^T}{\sqrt{d_k}}\right)V
  \label{eq:attention}
\end{equation}

% Aligned equations
\begin{align}
  \nabla_\theta J(\theta) &= \mathbb{E}_{\tau \sim \pi_\theta}
    \left[\sum_{t=0}^{T} \nabla_\theta \log \pi_\theta(a_t|s_t) A_t\right]
    \label{eq:policy_grad} \\
  A_t &= Q(s_t, a_t) - V(s_t) \label{eq:advantage}
\end{align}

% Refer to equations
As shown in Equation~\eqref{eq:attention}, the attention mechanism...

\usepackage{algorithm}
\usepackage{algorithmic}

\begin{algorithm}[htbp]
  \caption{Training procedure}
  \label{alg:training}
  \begin{algorithmic}[1]
    \REQUIRE Dataset $\mathcal{D}$, learning rate $\eta$, epochs $E$
    \ENSURE Trained model parameters $\theta^*$
    \STATE Initialize $\theta$ randomly
    \FOR{$e = 1$ to $E$}
      \FOR{each batch $B \in \mathcal{D}$}
        \STATE Compute loss $\mathcal{L}(B; \theta)$
        \STATE $\theta \leftarrow \theta - \eta \nabla_\theta \mathcal{L}$
      \ENDFOR
    \ENDFOR
    \RETURN $\theta$
  \end{algorithmic}
\end{algorithm}

# Compilation sequence (4 steps)
pdflatex paper.tex     # 1. First pass (generates .aux)
bibtex paper           # 2. Process bibliography
pdflatex paper.tex     # 3. Second pass (resolves refs)
pdflatex paper.tex     # 4. Final pass (fixes page numbers)

# Or use latexmk for automatic compilation
latexmk -pdf paper.tex

@article{vaswani2017attention,
  title={Attention is all you need},
  author={Vaswani, Ashish and Shazeer, Noam and Parmar, Niki and ...},
  journal={Advances in neural information processing systems},
  volume={30},
  year={2017}
}

@inproceedings{devlin2019bert,
  title={BERT: Pre-training of deep bidirectional transformers},
  author={Devlin, Jacob and Chang, Ming-Wei and Lee, Kenton and ...},
  booktitle={Proceedings of NAACL-HLT 2019},
  pages={4171--4186},
  year={2019}
}

# XeLaTeX (for Unicode/CJK support)
xelatex paper.tex && bibtex paper && xelatex paper.tex && xelatex paper.tex

# LuaLaTeX (alternative Unicode engine)
lualatex paper.tex

# Automated with latexmk
latexmk -xelatex paper.tex    # XeLaTeX
latexmk -pdf paper.tex        # pdfLaTeX
latexmk -c paper.tex          # Clean auxiliary files