1.无序编号
egin{itemize}
item {} ...
item {} ...
item {}...
item {} ...
end{itemize}
举例：
indent The main contributions of this paper are as follows:%主要贡献
egin{itemize}
item {} To the best of our knowledge, we are the first to design the incentive mechanism, which stimulates the strategic workers to reach the least confidence for truth discovery in the crowdsourcing.
item {} We propose a truth discovery algorithm as a component of the incentive mechanism for the crowdsourcing with copiers. Our truth discovery algorithm considers both the dependence and accuracy of workers. Further, we extend our truth discovery algorithm to the general cases, where the distribution of false values is nonuniform.
item {} We model the extit{underline{S}ocial underline{O}ptimization underline{A}ccuracy underline{C}overage} ( extit{SOAC}) problem, and design a reverse auction mechanism to solve the extit{SOAC} problem. We show that the designed mechanism satisfies the desirable properties of computational efficiency, individual rationality, truthfulness, and guaranteed approximation.
item {} To support the textual answers of crowdsourcing tasks, we propose extit{S-DATE} ( extit{underline{S}emantic-oriented underline{DATE}}), which uses language representation model and clustering method to obtain the values of textual answers.
end{itemize}
2.常用符号
- 大于等于：geq
- 小于等于：leq
- 两个字符间的波浪号~： sim
- 斜体转换成直体： m
- 下划线：underline
- 百分号：\%
- 斜体字： extit{}
- 手写体字母：mathcal{ABC…}
- 中等空格：a ; b
- 小空格：a \, b
3.公式（自动编号）
egin{equation}
...
end{equation}
举例：
egin{equation}
u_i = p_i - c_i
end{equation}
4.插入算法
先导入包
usepackage{algorithm}
usepackage{algorithmic}
举例：
egin{algorithm} %算法2 Reverse Auction
caption{ extbf{: Reverse Auction}}
leftline{ extbf{Input:} {task set $T$}, {bid profile $B$}, {worker set $W$},{ accuracy}}
leftline{{requirement profile $Theta$}, {accuracy matrix extbf{A}}}
leftline{ extbf{Output:} {winner set $S$, payment extbf{p}}}
leftline{ //Winner Selection Phase}
egin{algorithmic}[1]
State{$S leftarrow emptyset ,Theta ' leftarrow Theta$};
While {$sum
olimits_{t_j in T} {Theta ^j{'}}
e 0$}
State{$i leftarrow arg min _{k in Wackslash S} frac{{b_k }}{{sum
olimits_{t_j in T_k } {min { Theta ^j {'},A_k^j } } }}$};
State{$S leftarrow S cup { i}$};
For {each $t_j in T_i $}
State{$Theta ^j{'} leftarrow Theta ^j {'} - min { Theta ^j{'},A_i^j }$};
EndFor
EndWhile
leftline{ //Payment Determination Phase}
For {each $i in W$}
State {$p_i leftarrow 0$};
EndFor
For {each $i in S$}
State {$W' leftarrow Wackslash { i} ,S' leftarrow emptyset ,Theta '' leftarrow Theta$};
While {$sum
olimits_{t_j in T} {Theta ^j {''}}
e 0$}
State {$i_k leftarrow arg min _{k in W'ackslash S'} frac{{b_k }}{{sum
olimits_{t_j in T_k } {min { Theta ^j{''},A_k^j } } }}$};
State {$S' leftarrow S' cup { i_k }$};
State {$p_i leftarrow max { p_i ,frac{{sum
olimits_{t_j in T_i } {min { Theta ^j{''},A_i^j } } }}{{sum
olimits_{t_j in T_{i_{_k } } } {min { Theta ^j {''},A_{i_k }^j } } }}b_{i_k } }$};
For {each $t_j in T_{i_k }$}
State{$Theta ^j{''} leftarrow Theta ^j{''} - min { Theta ^j{''},A_{i_k }^j }$}
EndFor
EndWhile
EndFor
end{algorithmic}
end{algorithm}
5.插入图片
5.1.两张图并列
（1）单标题
egin{figure} % 图16 Truthfulness of IMC2
%setlength{abovecaptionskip}{-0.1cm}
%vspace{-0.5cm}
centering
subfigure[Utility of worker with ID=16 (winner)]{
egin{minipage}[t]{0.47linewidth} %0.5 extwidth两图之间的距离
centering
includegraphics[width=1linewidth]{pic_eps/utility_bid.eps} %图片大小
%caption{}
end{minipage}
}
subfigure[Utility of worker with ID=74 (loser)]{
egin{minipage}[t]{0.47linewidth}
centering
includegraphics[width=1linewidth]{pic_eps/utility_bid_false.eps}
%caption{}
end{minipage}
}
centering
caption{Truthfulness of extit{IM$C^2$}}
end{figure}
（2）双标题
egin{figure}[htbp]
centering
egin{minipage}[t]{0.47linewidth}
centering
includegraphics[width=1linewidth]{pic_eps/k_clusters.eps}
caption{Impact of K on the number of clusters}
end{minipage}
egin{minipage}[t]{0.47linewidth}
centering
includegraphics[width=1linewidth]{pic_eps/kann_dbscan.eps}
caption{ extit{KANN-DBSCAN} clusters}
end{minipage}
end{figure}
5.2.单张图
egin{figure}[h] %图4 Transformer encoder architecture
centering %插入的图片居中表示
includegraphics[width=0.7linewidth]{pic_eps/Transformer.eps} %插入的图，包括JPG,PNG,PDF,EPS等，放在源文件目录下
caption{ extit{Transformer} encoder architecture } %图片的名称
label{fig:mcmthesis-logo} %标签，用作引用
end{figure}
6.插入表格
egin{table} %表1 copy的例子
caption{An example of conflicting values provided by crowdsourcing workers with copiers}
label{tab:freq}
linespread{1}
egin{tabular}{c|p{20pt}|p{25pt}|p{20pt}|p{20pt}|p{20pt}} %p{75pt}第一列
%egin{tabular}{cccccc}
oprule
diagbox { extbf{Tasks}}{ extbf{Workers}}& { extbf{1}}& { extbf{2}}& { extbf{3}}& { extbf{4}} & { extbf{5}}\
midrule
{itshape Stonebraker}& MIT& Berkeley & MIT & MIT & MS \
{itshape Dewitt}& MSR& MSR & UWise & UWisc & UWisc \
{itshape Bernstein}& MSR& MSR & MSR & MSR & MSR \
{itshape Carey}& UCI& AT&T & BEA & BEA & BEA \
{itshape Halevy}& Google& Google & UW & UW & UW \
ottomrule
end{tabular}
end{table}
egin{table} %表2 常见符号解释
caption{Frequently used notations}
label{Symbol}
{egin{tabular}{p{50 pt}p{180 pt}}
oprule
extbf{Symbol} & extbf{Description} \
midrule
$W,n$ & {worker set, number of workers} \
$T,m$ & {task set, number of tasks} \
ottomrule
end{tabular}}
end{table}
参考文献：