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cv.tex
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% Last updated: 5/19/2019
\documentclass{joel_cv}
\begin{document}
% Name, phone, email, address
\begin{cvHeader}
\printName{Ting-Hsuan Chao (Joel)}
\printPhone{+886 912 016988}
\printEmail{joelthchao@gmail.com}
\printWebsite{http://joelthchao.github.io}
\end{cvHeader}
%
% Experience
%
\sectionTitle{Experience}
\begin{profExp}{Baidu Inc. - Senior NLP Engineer}{2018/09 - present}
\item Social network app AI architecture design and tech team leadership
\item Sticker recommendation system by natural language understanding
\item Japanese website recommendation system by Elasticsearch and CTR prediction
\item Input method editor Emoji prediction by language modeling
\item Increase neural conversation diversity by maximizing mutual information
\end{profExp}
\begin{profExp}{Appier Inc. - Machine Learning Scientist}{2016/05 - 2018/08}
\item Large-scale multi-languages user topic module from Spark, AI algorithm, database to APIs
\item Research on Chinese natural language understanding
\item Scalable and robust machine learning ensemble framework
\item Real-time user purchase intent prediction by RNN
\item Automatic advertisement bidding bot by Reinforcement Learning
\item Data augmentation by Generative Adversarial Networks for cross device user identification
\end{profExp}
\begin{profExp}{National Taiwan University - Research Assistant}{2015/08 - 2016/05}
\item Advanced research on deep learning compression and speedup
\end{profExp}
%\begin{profExp}{OpenHCI - Web Service}{Apr. 2015 - Jul. 2015}
% \item Website design and maintain, registration system development
% \item Network infrastructure construction
%\end{profExp}
%\begin{profExp}{National Taiwan University - Teaching Assistant}{Sep. 2013 - Feb. 2014}
% \item CSIE Department - Seminar
%\end{profExp}
\begin{profExp}{Hewlett-Packard, Inc - Software Engineer Intern}{2012/07 - 2013/06}
\item Develop and maintain softpaq checking tool, wireless diagnose tool, and web service APIs
\end{profExp}
%
% Research Interests
%
%\sectionTitle{Research Interests}
%\begin{sectionItemize}{$\cdot$}
% \item \textbf{Computer Vision}:
% Scalable Object Detection, Large Scale Image Classification, Scene Recognition
% \item \textbf{Deep Learing}:
% Generative Model, Model Compression and Speedup
%\end{sectionItemize}
%
% Education
%
\sectionTitle{Education}
\begin{sectionContentSimple}{National Taiwan University}{2013/09 - 2015/07}
\item M.S. in Computer Science \& Information Engineering
\item Communications and Multimedia Laboratory (CMLAB), MiRA Group
\item Advisor: Winston H. Hsu
\end{sectionContentSimple}
\begin{sectionContentSimple}{National Taiwan University}{2009/09 - 2013/07}
\item B.S. in Electrical Engineering
\end{sectionContentSimple}
%
% Publications
%
\sectionTitle{Publications}
\begin{sectionItemize}{$\cdot$}
\item \underline{Ting-Hsuan Chao}, Yen-Liang Lin, Yin-Hsi Kuo and Winston H. Hsu, "Scalable Object Detection by Filter Compression with Regularized Sparse Coding," CVPR 2015. \href{http://www.cv-foundation.org/openaccess/content_cvpr_2015/html/Chao_Scalable_Object_Detection_2015_CVPR_paper.html}{(Full paper)}
\item Wei-Tsung Lin, \underline{Ting-Hsuan Chao}, Jian-Min Wu, Tian-Huang Su, "Predict Emoji Combination with Retrieval Strategy", ACM Multimedia 2015. \href{https://www.anlp.jp/proceedings/annual_meeting/2019/pdf_dir/B2-5.pdf}{(Short paper)}
\item Yu-Hsiu Chen, \underline{Ting-Hsuan Chao}, Yen-Liang Lin and Winston H. Hsu, "Filter-Invariant Image Classification on Social Media Photos", ACM Multimedia 2015. \href{http://dl.acm.org/citation.cfm?id=2806348}{(Short paper)}
\item Wei-Tse Sun, \underline{Ting-Hsuan Chao}, Yin-Hsi Kuo and Winston H. Hsu "Photo Filter Recommendation by Category-Aware Aesthetic Learning", IEEE Transactions on Multimedia 2017. \href{http://joelthchao.github.io/pdf/photo_sun_tmm_2017.pdf}{(Journal paper)}
\item Wen-Yu Lee, Yin-Hsi Kuo, Peng-Ju Hsieh, Wen-Feng Cheng, \underline{Ting-Hsuan Chao}, Hui-Lan Hsieh, Chieh-En Tsai, Hsiao-Ching Chang, Jia-Shin Lan, Winston Hsu, "Unsupervised Latent Sub-events Discovery based on Multi-content and Human Activities Analysis for Diverse Event Summarization", ACM Multimedia 2015. \href{http://dl.acm.org/citation.cfm?id=2809935}{(Grand Challenge)}
\item Chun-yen Yeh, Yu-Chuan Su, Hsin-Fu Huang, \underline{Ting-Hsuan Chao}, Sebastian Agethen, Winston H. Hsu, "Low-Bitrate and Online Mobile Video Classification", ICCE 2016. (Short paper)
\end{sectionItemize}
%
% ACADEMIC EXPERIENCE
%
\sectionTitle{Academic Experience}
\begin{sectionItemize}{$\cdot$}
\item Reviewer for IEEE Transactions on Multimedia (TMM)
\item Poster Presentation in CVPR 2015, Boston, USA
\item Poster Presentation in ACM Multimedia 2015, Brisbane, Australia
\end{sectionItemize}
%
% Projects
%
\sectionTitle{Projects}
\begin{proj}{Keras - Contributor}
{Deep Learning $\diamond$ Tensorflow $\diamond$ Theano $\diamond$ Python}
\item A high-level neural networks API, written in Python. Commit over 600+ lines, including a image preprocessing module, a locally connected layer and bug fixes. Answer 140+ issues and resolve 120+ of them.
\end{proj}
\begin{proj}{Kaggle - National Data Science Bowl}
{Deep Learning $\diamond$ Caffe $\diamond$ CNN $\diamond$ Computer Vision}
\item Learn to recognize plankton by training convolutional neural networks. Rank $51^{th} (4.9\%)$ in competition.
\end{proj}
\begin{proj}{Kaggle - Carvana Image Masking Challenge}
{Deep Learning $\diamond$ Keras $\diamond$ Image segmentation $\diamond$ Computer Vision}
\item Learn to segment car from background by training fully convolutional neural netword. Blonze plate.
\end{proj}
\begin{proj}{HackNTU - WhosDrive}
{Car Camera Recorder $\diamond$ Car Number Plate Detection $\diamond$ Android}
\item A mobile/web application devoted to solve traffic problem by automatically detecting car plate number and reporting dangerous drivers to our database. Also, it can perform real-time notification of dangerous car's approaching.
\end{proj}
\begin{proj}{National Taiwan University Hosipital - Swallowing Analysis}
{Object Tracking $\diamond$ SVM $\diamond$ MATLAB $\diamond$ Computer Vision}
\item Analyze swallowing function of patients by tracking Hyoid bone in X-ray photos.
\end{proj}
\begin{proj}{Flora}{ML $\diamond$ OpenCV $\diamond$ Android $\diamond$ Computer Vision}
\item A mobile application able to automatically recognize breed of a given flower.
\end{proj}
\begin{proj}{ScoreMaster}
{Android $\diamond$ Camera $\diamond$ Education}
\item An online Q\&A platform for junior/senior high school students. Teachers can answer questions and earn money on it.
\end{proj}
%
% Technical Strengths
%
\sectionTitle{Technical Strengths}
\begin{sectionItemize}{$\cdot$}
\item Programming Language: Python, Scala, C++, JAVA, MATLAB, javascript
\item Framework: Keras, TensorFlow, PyTorch, Spark, Caffe, Android, node.js
\end{sectionItemize}
\end{document}