Minor updates to zh/en resumes

2 files changed, 23 insertions, 23 deletions

diff --git a/resume-en.tex b/resume-en.tex
index f9296b5..14bfbdb 100644
--- a/resume-en.tex
+++ b/resume-en.tex
@@ -50,7 +50,7 @@
   \mobile{132-6262-0332}
   \email{liweitianux@live.com}
   \github{liweitianux} \\
-  \degree{PhD (candidate), Physics}
+  \degree{Ph.D. (candidate), Physics}
   \university{Shanghai Jiao Tong University (SJTU)} \\
   \address{Shanghai}
   \home{Shaoyang, Hunan}
@@ -63,7 +63,7 @@
 %======================================================================
 % Summary & Objectives
 %======================================================================
-Highly-motivated PhD candidate in Physics with good foundations of math
+Highly-motivated Ph.D. candidate in Physics with good foundations of math
 and statistics, and familiar with the basics of data analysis, machine
 learning, as well as signal and image processing.
 Enthusiastic about computer technologies with 10 years experience
@@ -102,7 +102,7 @@ that I can grow with as I achieve company goals.
     {Shanghai Jiao Tong University}%
     {School of Physics and Astronomy}%
     {Physics}%
-    {PhD (candidate; expected to graduate in early 2019)}
+    {Ph.D. (candidate; expected to graduate in early 2019)}
 
   \separator{0.5em}
   \education%
@@ -126,20 +126,21 @@ that I can grow with as I achieve company goals.
     {Simulation of Low-Frequency Radio Sky and Separation of Weak
      Astronomical Signals}%
     {\begin{itemize}
-      \item Developed the low-frequency radio sky simulation software:
-        \link{https://github.com/liweitianux/fg21sim}{\texttt{FG21sim}}.
-      \item Significantly improved the modeling of radio halos,
-        and integrated the instrumental effects of radio interferometers
-        into the simulation pipeline.
-      \item Quantitatively evaluated the impacts of radio halos on the
-        detection of reionization signals, and finished the journal paper.
       \item Collaborated in classifying the radio galaxies according to
         the morphologies using a deep Convolutional Neutral Network (CNN).
+      \item Developed the
+        \link{https://github.com/liweitianux/fg21sim}{\texttt{FG21sim}}
+        software to simulate low-frequency radio sky images.
       \item Used algorithms such as wavelet to denoise and enhance X-ray
         astronomical images.
       \item Extracted both the spatial and spectral information of X-ray
         images, and used the Support Vector Machine (SVM) to identify the
         potential point sources.
+      \item Significantly improved the modeling of radio halos,
+        and integrated the instrumental effects of radio interferometers
+        into the simulation pipeline.
+      \item Quantitatively evaluated the impacts of radio halos on the
+        detection of reionization signals, and finished the journal paper.
     \end{itemize}}%
     [Python, Machine learning, CNN, SVM, Image processing]
 
@@ -270,7 +271,7 @@ that I can grow with as I achieve company goals.
         identified the most possible SNPs and genes that may cause the
         disease.
     \end{itemize}]%
-    [R, Data cleaning, Regression analysis, Hypothesis testing]
+    [R, Data cleansing, Regression analysis, Hypothesis testing]
 
   \separator{0.5em}
   \experience
@@ -324,7 +325,7 @@ that I can grow with as I achieve company goals.
   \entry{\textbf{English}}{%
     \begin{description}
       \item[Reading] --- Intermediate
-        (read textbooks and literature)
+        (read technical documentation and literature)
       \item[Writing] --- Intermediate
         (write journal papers)
       \item[Listening \& Speaking] --- Conversant
@@ -335,9 +336,8 @@ that I can grow with as I achieve company goals.
   \entry{\textbf{Chinese}}{%
     \begin{description}
       \item[Writing] --- Good
-        (involved in writing Fund Applications, annual reports,
-        as well as writing and revising sections for
-        \enquote{The Chinese SKA Science White Book})
+        (involved in writing and revising fund applications,
+        annual reports, etc.)
       \item[Speaking] --- Good
         (5 semesters of teaching assistant experience)
     \end{description}
@@ -372,7 +372,7 @@ that I can grow with as I achieve company goals.
   \entry{July 2014}%
     {Outstanding Teaching Assistant, College Physics}
   \entry{November 2013}%
-    {Outstanding PhD Student Entrance Scholarship of Shanghai Jiao Tong University}
+    {Outstanding Ph.D. Student Entrance Scholarship of Shanghai Jiao Tong University}
   \entry{October 2012}%
     {Advanced Individual of Shanghai Jiao Tong University}
   \entry{December 2011}%
diff --git a/resume-zh.tex b/resume-zh.tex
index 855f640..400a346 100644
--- a/resume-zh.tex
+++ b/resume-zh.tex
@@ -63,11 +63,11 @@
 % Summary & Objectives
 %======================================================================
 {\onehalfspacing\hspace{1.7em}
-物理学专业直博 5 年级研究生，有扎实的物理、数学与统计学基础，
+物理学专业直博研究生，有扎实的物理、数学与统计学基础，
 并且熟悉统计分析、机器学习、信号与图像处理的基本方法。
 热衷计算机技术，有 10 年的 Linux 和 BSD 使用经验。
 热爱自由开源精神，并积极参与 DragonFly BSD 等多个开源项目。
-拥有计算机专长，能熟练使用 Python 和 R 语言，对数据分析有强烈兴趣，
+拥有计算机专长，能熟练使用 Python 和 R 语言开展数据分析工作，
 真诚应聘贵公司的\emph{\myposition}职位。
 \par}  % NOTE: \par is needed
 
@@ -123,15 +123,15 @@
     {重点项目}%
     {低频射电天空的高精度仿真与微弱天体辐射信号的识别}%
     {\begin{itemize}
-      \item 使用 Python 开发低频射电天文模拟软件：
-            \link{https://github.com/liweitianux/fg21sim}{\texttt{FG21sim}}
-      \item 显著改进星系团射电晕的建模，并考虑低频干涉阵列的复杂仪器效应
-      \item 量化评估射电晕对探测宇宙再电离信号的影响，并完成期刊论文
       \item 合作利用深度卷积神经网络（CNN）对 FIRST 巡天的射电星系图像
             根据形态特征进行分类
+      \item 使用 Python 开发低频射电天空图像模拟软件：
+            \link{https://github.com/liweitianux/fg21sim}{\texttt{FG21sim}}
       \item 利用小波分析等算法，对 X 射线天文图像进行去噪与增强
       \item 提取 X 射线天文图像的空间和光谱信息，利用支持向量机（SVM）
             进行分类，探测点源
+      \item 显著改进星系团射电晕的建模，并考虑低频干涉阵列的复杂仪器效应
+      \item 量化评估射电晕对探测宇宙再电离信号的影响，并完成期刊论文
     \end{itemize}}%
     [Python, 机器学习, CNN, SVM, 图像处理]
 
@@ -282,7 +282,7 @@
 \begin{entries}[|]
   \entry{\textbf{英语}}{%
     \begin{description}
-      \item[阅读] --- 良好（顺利阅读教材和专业文献）
+      \item[阅读] --- 良好（阅读技术文档和专业文献）
       \item[写作] --- 良好（撰写学术论文）
       \item[听说] --- 日常交流
     \end{description}