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<!DOCTYPE html>
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<div id="htname">Yi-Hsin Chen</div>
<div id="htdesc">National Tsing Hua University Vision Science Lab research assistant</div>
<div id="htem">[email protected]</div>
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<div class="timelineitem">
<div class="tdate">2016-Present
</div>
<div class="ttitle">NTHU Vision Science Lab: Research Assistant</div>
<div class="tdesc">Supervised by <span class="thigh"><a href="http://aliensunmin.github.io/">Min Sun</a></span>.</div>
<div class="tdesc">Lead a project about <span class="thigh">road scene segmentation adaptation.</span></div>
<div class="tdesc">This work is under review for ICCV 2017</div>
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<div class="tdate">2011-2016
</div>
<div class="ttitle">Taiwan Semiconductor Manufacturing Company:<br> Senior Engineer</div>
<div class="tdesc">Supervised by <span class="thigh"><a href="https://www.linkedin.com/in/dawen-lin-015b5485/">Da-Wen Lin</a></span>.</div>
<div class="tdesc">Participate in <span class="thigh">N10/N20 development</span>.</div>
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<div class="tdate">2008-2010
</div>
<div class="ttitle">National Taiwan University: Master's Degree</div>
<div class="tdesc">Supervised by <span class="thigh"><a href="http://www.ee.ntu.edu.tw/profile?id=55">Chi-Kuang Sun</a></span>.</div>
<div class="tdesc">Major in <span class="thigh">Photonics and Optoelectronics</span>.</div>
</div>
<div class="timelineitem">
<div class="tdate">2004-2008
</div>
<div class="ttitle">National Taiwan University: Bachelor's Degree</div>
<div class="tdesc">Major in <span class="thigh">Electrical Engineering</span>.</div>
</div>
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<div class="container" style="text-align:justify; text-justify: auto; vertical-align:top; font-size:18px; font-weight:300;margin-top:50px;margin-bottom:50px;">
<b>Bio</b>. I am currently a research assiatant at VSLab of Prof. <a href="http://aliensunmin.github.io/">Min Sun</a> at NTHU, Taiwan.
My research focuses on Deep Learning and its applications in Computer Vision, especially for the perception system for autonomous driving cars.
<br><br>
In addition to AI, I am also interested in Data Science and feel excited about applying it to solve real world problems.
Before I joined VSlab, I had been working in the R&D Division at Taiwan Semiconductor Manufacturing Company (TSMC) for five years.
I was in charge of analyzing the data collected to diagnose the failure modes of manufacturing processes in 10/20 Nanometer Technology Project.
To solve these industrial issues more efficiently, I aim to create a synergy between cutting-edge Data Science techniques and my existing domain expertise in Solid-State Physics.
<br><br>
To go deeper into these areas, I am going to pursue my second Master's Degree in Computer Science at the University of Illinois at Urbana-Champaign (UIUC) in 2017 Fall.
See my <a href="https://drive.google.com/open?id=0B2E78ucY2kscU01mV1RKRFN0ZzQ">CV</a> for more details.
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<h2>Publications</h2>
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<img src="./Yi-Hsin-Chen_Website_files/ICCV_2017.png">
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<div class="pub">
<div class="pubt">No More Discrimination: Cross City Adaptation of Road Scene Segmenters</div>
<div class="pubd" style="text-align:justify; text-justify: auto; vertical-align:top;">We propose an unsupervised learning approach to
adapt road scene segmenters across different cities. By utilizing Google Street View and its time-machine feature, we can collect
unannotated images for each road scene at different times, so that the associated static-object priors can be extracted accordingly.
By advancing a joint global and class-specific domain adversarial learning framework, adaptation of pre-trained segmenters to that
city can be achieved without the need of any user annotation or interaction. We show that our method improves the performance of
semantic segmentation in multiple cities across continents, while it performs favorably against state-of-the-art approaches requiring
annotated training data. </div>
<div class="puba"><u>Yi-Hsin Chen</u>, Wei-Yu Chen, Yu-Ting Chen, Bo-Cheng Tsai, Yu-Chiang Frank Wang, Min Sun</div>
<div class="pubv">Under Review for ICCV2017</div>
<div class="publ">
<ul>
<li><a href="https://yihsinchen.github.io/segmentation_adaptation/">Project Website</a></li>
</ul>
</div>
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<img src="./Yi-Hsin-Chen_Website_files/CPJ_2011.png">
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<div class="pub">
<div class="pubt">Acoustic Velocity and Optical Index Birefringence in A-Plane ZnO Thin Films</div>
<div class="pubd">The longitudinal acoustic velocity in the direction normal to the c-axis and the
birefringence of refractive index of a-plane zinc oxide (ZnO) thin films were measured by ultrafast
transient reflection measurement. Through Fourier analysis, the experimental data show that the
acoustic velocity is about 6000 m/s and the measured refractive index near the band gap, which is
higher than the previously reported results by 20 ∼ 30%. </div>
<div class="puba"><u>Yi-Hsin Chen</u>, Yu-Chieh Wen, Wei-Rein Liu, Wen-Feng Hsieh, Chi-Kuang Sun</div>
<div class="pubv">CJP 2011</div>
<div class="publ">
</div>
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<img src="./Yi-Hsin-Chen_Website_files/APL_2011.png">
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<div class="pub">
<div class="pubt">Femtosecond laser-ultrasonic investigation of plasmonic fields on the metal/gallium nitride interface</div>
<div class="pubd">By using femtosecond laser-ultrasonic, we demonstrate an approach to study the surface plasmon field optically excited in the interface between metal and a semiconductor thin film. By femtosecond impulsive excitation on gallium–nitride GaN , different optical probe signals were observed when the impulse-excited nanoacoustic pulse propagated through the metal film and metal nanoslits. By analyzing the shape and temporal response of thus induced acousto-optical signals, our femtosecond laser-ultrasonic study not only reveals the plasmonic field distribution optically excited in the metal/substrate interface but also confirms that the penetration depth of surface plasmon field into the substrate agrees well with a simulation result.</div>
<div class="puba">Hung-Pin Chen, Yu-Chieh Wen, <u>Yi-Hsin Chen</u>, Cheng-Hua Tsai, Kuang-Li Lee, Pei-Kuen Wei, Jinn-Kong Sheu, Chi-Kuang Sun</div>
<div class="pubv">Appl. Phys. Lett. 2010</div>
<div class="publ">
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<h2>Work Experiences</h2>
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<div class="pp">
<a href="http://aliensunmin.github.io/lab/info.html">
<img src="./Yi-Hsin-Chen_Website_files/NTHU_logo.png" class="img-circle imgb">
</a>
<div class="ppt">Full-Time RA in VSLab</div>
<div class="ppd">
Expertise in Caffe, Tensorflow, state-of-the-art Deep Learning based algorithms in Computer Vision (image
detection/segmentation) and Domain Adaptation (domain adversarial training). Programming Experience in Python and MATLAB.
</div>
</div>
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<img src="./Yi-Hsin-Chen_Website_files/Tsmc.png" class="img-circle imgb">
</a>
<div class="ppt">Senior Engineer at R&D Division</div>
<div class="ppd">
Five years of extensive work experience in problem-solving, stress-resistance, schedule management, and building collaborative relationships.
</div>
</div>
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<div class="col-md-1">
<div class="pp">
<a href="">
<img src="" class="img-circle imgb">
</a>
<div class="ppt"></div>
<div class="ppd">
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<!-- <div class="container"> -->
<!--
<h2>Misc</h2>
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<div class="miscitem">
<div class="miscimg">
<img src="./Yi-Hsin-Chen_Website_files/feed.png" class="img-circle">
</div>
<div class="miscd">
My (mostly) <a href="http://karpathy.github.io/">Academic Blog</a>. I wish all researchers had one.
</div>
</div>
<div class="miscitem">
<div class="miscimg">
<img src="./Yi-Hsin-Chen_Website_files/circuit.png" class="img-circle">
</div>
<div class="miscd">
<a href="http://karpathy.github.io/neuralnets/">Hacker's Guide to Neural Networks</a> is my attempt at explaining Neural Nets from "Hacker's perspective", relying more on code and physical intuitions than mathematics. I wrote this because I felt there were many people (e.g. some software engineers) who were interested in Deep Nets but who lacked the mathematical background to learn the basics through the usual channels.
</div>
</div>
<div class="miscitem">
<div class="miscimg">
<div class="colorrect img-circle"></div>
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<div class="miscd">
I helped create the Programming Assignments for Andrew Ng's <a href="http://www.ml-class.org/">CS229A (Machine Learning Online Class)</a> - this was the precursor to Coursera. At UBC I also TA'd <a href="http://www.cs.ubc.ca/~nando/540-2011/index.php">CPSC540</a> (Graduate Probabilistic Machine Learning) and three times UBC's <a href="http://www.ugrad.cs.ubc.ca/~cs121/current/Homepage/">CPSC 121</a> (Discrete Mathematics), where I taught at tutorials.
</div>
</div>
<div class="miscitem">
<div class="miscimg">
<div class="colorrect img-circle"></div>
</div>
<div class="miscd">
I like to go through classes on Coursera and Udacity. I usually look for courses that are taught by very good instructor on topics I know relatively little about. Last year I decided to also finish Genetics and Evolution (<a href="http://cs.stanford.edu/people/karpathy/geneticsacc.jpg">statement of accomplishmnet</a>) and Epigenetics (<a href="http://cs.stanford.edu/people/karpathy/epigenetics_cert.jpg">statement</a>, + <a href="http://cs.stanford.edu/people/karpathy/EpigeneticsCourseranotes.pdf">my rough notes</a>).
</div>
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<div class="col-md-6">
<div class="miscitem">
<div class="miscimg">
<img src="./Yi-Hsin-Chen_Website_files/twitterblue.svg" class="img-circle">
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<div class="miscd">
Find me on <a href="http://twitter.com/#!/karpathy">Twitter</a>, <a href="https://github.com/karpathy">Github</a>, <a href="https://plus.google.com/100209651993563042175">Google+</a>, <a href="http://www.goodreads.com/user/show/13472185-andrej-karpathy">Goodreads</a>.
</div>
</div>
<div class="miscitem">
<div class="miscimg">
<img src="./Yi-Hsin-Chen_Website_files/cubevid.jpg" class="img-circle">
</div>
<div class="miscd">
A long time ago I was really into Rubik's Cubes. I learned to solve them in about 17 seconds and then, frustrated by lack of learning resources, created <a href="https://www.youtube.com/user/badmephisto/featured">YouTube videos</a> explaining the Speedcubing methods. These went on to become quite popular. There's also my cubing page <a href="http://badmephisto.com/">badmephisto.com</a>. Oh, and a video of me at a <a href="http://www.facebook.com/photo.php?v=715094857292&set=vb.28120513&type=2&theater">Rubik's cube competition</a> :)
</div>
</div>
<div class="miscitem">
<div class="miscimg">
<div class="colorrect img-circle"></div>
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<div class="miscd">
<a href="http://cs.stanford.edu/people/karpathy/advice.html">Advice</a> for doing well in undergrad classes, for younglings.
</div>
</div>
<div class="miscitem">
<div class="miscd">
<b>In media:</b><br>
<div>
- The New York Times article on using deep networks for <a href="http://www.nytimes.com/2014/11/18/science/researchers-announce-breakthrough-in-content-recognition-software.html?_r=0">automatically captioning images with sentences</a>.
</div>
<div>
- <a href="https://www.technologyreview.com/s/600997/hot-commodity/">MIT Technology Review profile</a>
</div>
<div>
- Wired article on my efforts to evaluate <a href="http://www.wired.com/2015/01/karpathy/">human accuracy on imagenet</a> and compare it to state of the art deep nets.
</div>
<div>
- Article on char-rnn: <a href="http://www.engadget.com/2015/12/02/neural-network-journalism-philip-k-dick/">I taught a computer to write like Engadget</a>.
</div>
<div>
- The Verge articles on NeuralTalk, first <a href="http://www.theverge.com/2015/7/17/8985699/stanford-neural-networks-image-recognition-google-study">here</a> and then <a href="http://www.theverge.com/2015/11/25/9798448/neural-network-describe-live-video-neuraltalk">here</a>. Several inaccuracies, but by now quite used to it.
</div>
</div>
</div>
</div>
</div>
-->
<!--
<div id="misc">
<div>Still more unsorted misc</div>
<div class="umisc">- <a href="http://cs.stanford.edu/people/karpathy/cnnembed/">t-SNE visualization of CNN codes for ImageNet images</a></div>
<div class="umisc">- an efficient, <a href="https://gist.github.com/karpathy/587454dc0146a6ae21fc">batched Python/numpy implementation</a> of an LSTM forward and backward pass.
</div>
<div class="umisc">- a <a href="https://gist.github.com/karpathy/d4dee566867f8291f086"> Minimal character-level Recurrent Neural Network language model</a>, writted in Python/numpy. About 100 lines suffice! :)
</div>
<div class="umisc">- <a href="http://lossfunctions.tumblr.com/">Loss Functions Tumblr</a></div>
<div class="umisc">- <a href="http://cs.stanford.edu/people/karpathy/gan/">Generative Adversarial Nets Javascript demo</a></div>
</div>
-->
<!--
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<img src="img/octocat.svg" class="img-circle imgb">
<div class="ppt">Github</div>
</div>
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<div class="pp">
<img src="img/feed.png" class="imgb">
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</div>
</div>
</div>
-->
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