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index.html
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<!DOCTYPE html>
<html class="no-js" lang="en">
<head>
<meta charset="utf-8">
<meta http-equiv="X-UA-Compatible" content="IE=edge">
<meta name="viewport" content="width=device-width, initial-scale=1">
<title>Hi, I'm Yiwei Wang</title>
<link rel="shortcut icon" href="favicon.ico" type="image/x-icon">
<link rel="icon" href="favicon.ico" type="image/x-icon">
<link href="https://fonts.googleapis.com/css?family=Lato:300,400,700,900" rel="stylesheet">
<link rel="stylesheet" href="libs/font-awesome/css/font-awesome.min.css">
<link href="css/bootstrap.min.css" rel="stylesheet">
<link href="css/styles.css" rel="stylesheet">
</head>
<body>
<div id="mobile-menu-open" class="shadow-large">
<i class="fa fa-bars" aria-hidden="true"></i>
</div>
<!-- End #mobile-menu-toggle -->
<header>
<div id="mobile-menu-close">
<span>Close</span> <i class="fa fa-times" aria-hidden="true"></i>
</div>
<ul id="menu" class="shadow">
<li>
<a href="#about">About</a>
</li>
<li>
<a href="#experience">Experience</a>
</li>
<li>
<a href="#education">Education</a>
</li>
<li>
<a href="#projects">Projects</a>
</li>
<li>
<a href="#skills">Skills</a>
</li>
<li>
<a href="#contact">Contact</a>
</li>
</ul>
</header>
<!-- End header -->
<div id="lead">
<div id="lead-content">
<h1>Yiwei Wang</h1>
<h2>Master Student in Computer Engineering</h2>
<a href="https://www.dropbox.com/s/6gl4mmfnqck1nyd/Yiwei%20Wang-Resume.pdf?dl=0" class="btn-rounded-white">View Resume</a>
</div>
<!-- End #lead-content -->
<div id="lead-overlay"></div>
<div id="lead-down">
<span>
<i class="fa fa-chevron-down" aria-hidden="true"></i>
</span>
</div>
<!-- End #lead-down -->
</div>
<!-- End #lead -->
<div id="about">
<div class="container">
<div class="row">
<div class="col-md-4">
<h2 class="heading">About Me</h2>
</div>
<div class="col-md-8">
<p>
Hi, I'm Yiwei Wang, a master student major in Computer Engineering at Northeastern University.I'm seeking for computer engineer Co-op/Intern related to Computer vision & Pattern Recognition. I have great passion in this field and dived into it for a long time.
My current work is combining the Deep learning algorithm as well as structure with traditional prior model in these field.
</p>
</div>
</div>
</div>
</div>
<!-- End #about -->
<div id="experience" class="background-alt">
<h2 class="heading">Experience</h2>
<div id="experience-timeline">
<div data-date="May 2018 – September 2018">
<h3>National Laboratory of Pattern Recognition, Chinese Academy of Science</h3>
<h4>Software Engineer Intern</h4>
<p>
<ul>
<li>
Utilized Siamese Network to synthesize frontal face disentangled poses and illuminations.
</li>
<li>
Build and trained the unstable sia-GANs dealing with 3-D facial recovery to have better performance on facial recognition under quantitative and qualitative evaluation
</li>
</ul>
</p>
</div>
<div data-date="August 2018">
<h3>National Laboratory of Pattern Recognition, Chinese Academy of Science</h3>
<h4>Research Assistant</h4>
<p>
<ul>
<li>
Data preparation and Data augmentation for civil use resource satlelite.
</li>
<li>
Use VGG-Image-Annotator drew the Ground Truth for parts images, and labeled "black water" as well as "fire point"
</li>
</ul>
</p>
</div>
<!-- <div data-date="September 2015 – September 2016">
<h3>Employer Name</h3>
<h4>Job Title</h4>
<p>
Lorem ipsum dolor sit amet, consectetur adipiscing elit. Curabitur in iaculis ex. Etiam volutpat laoreet urna. Morbi ut tortor nec nulla commodo malesuada sit amet vel lacus. Fusce eget efficitur libero. Morbi dapibus porta quam laoreet placerat.
</p>
</div> -->
</div>
</div>
<!-- End #experience -->
<div id="education">
<h2 class="heading">Education</h2>
<div class="education-block">
<h3>Northeastern University</h3>
<span class="education-date">Sep.2017 - Dec.2019</span>
<h4>Bachelor of Science in Computer Engineering,GPA:4.0/4.0</h4>
<p>
<b>Main Courses:</b> Computer Vision, Advanced in Deep Learning, Machine Learning/Pattern Recognition, Fundamentals of Computer Engineering(Algorithm), High-Performance Computing
</p>
</div>
<!-- End .education-block -->
<div class="education-block">
<h3>University of Electronic Science and Technology of China</h3>
<span class="education-date">Sept 2016 - Sept 2017</span>
<h4>Bachelor of Science in Telecommunication Engineering,GPA:3.5/4.0</h4>
<p>
<b>Main Courses:</b> High-Level Language Programming, Basic Technology of Software, Probability and Mathematical Statistics, Pattern Recognition and Applications, Digital Signal Processing
</p>
</div>
<!-- End .education-block -->
</div>
<!-- End #education -->
<div id="projects" class="background-alt">
<h2 class="heading">Projects</h2>
<div class="container">
<div class="row">
<div class="project shadow-large">
<div class="project-image">
<img src="images/siamese.jpg" />
</div>
<!-- End .project-image -->
<div class="project-info">
<h3>Recovery of Frontal Face Disentangled Poses and Illuminations</h3>
<p>(Python, PyTorch, MultiPIE, Siamese Network)</p>
<p>
<ul>
<li>
Designed the dual-channel Siamese Network, which can disentangle illuminations and poses information.
</li>
<li>
Added facial mask to train the network be sensitive with some intractable area, like beard, glasses and hair.
</li>
<li>
Trained the network and modified the model and loss function, adjusted the parameters to have a better result.
</li>
</ul>
</p>
<a href="https://github.com/danny95333/Synthesis-of-Frontal-Face-Disentangled-Poses-and-Illuminations">View Project</a>
</div>
<!-- End .project-info -->
</div>
<!-- End .project -->
<div class="project shadow-large">
<div class="project-image">
<img src="images/GAN.jpg" />
</div>
<!-- End .project-image -->
<div class="project-info">
<h3>3-D View Rebuild to Enhance Facial Recognition by Applied GANs</h3>
<p>(Python, PyTorch, MultiPIE, Generative Adversarial Network)</p>
<p>
<ul>
<li>
Utilized dual-channel Siamese Net as G-Net and classical Discriminative Network as D-Net as initial structure.
</li>
<li>
Abandon fine tuning and trained from the scratch, balanced the G-net and D-net update frequency and learning phase.
</li>
<li>
Trained the model and adjusted parameters to improve the synthesis quality among multi-view.
</li>
</ul>
</p>
<a href="https://github.com/danny95333/3-D-View-to-Enhance-Facial-Recognition-by-Applied-GANs">View Project</a>
</div>
<!-- End .project-info -->
</div>
<!-- End .project -->
<div class="project shadow-large">
<div class="project-image">
<img src="images/star.jpg" />
</div>
<!-- End .project-image -->
<div class="project-info">
<h3>Data Preparation and Data Augmentation for Aerial Image Dataset</h3>
<p>(Python, Matplotlib, ISPRS&Inria Aerial Dataset, VGG-Image-Annotator)</p>
<p>
<ul>
<li>
Cut the 6k by 6k aerial resource satellite images into several smaller images to fit the target satellite’s image size.
</li>
<li>
Drew the Ground Truth by VGG-Image-Annotator for some images, which their GT didn’t meet our needs.
</li>
<li>
Labeled the black water area on RGB image and fire point on MODIS dataset.
</li>
</ul>
</p>
<a href="#">Not an Open Source Project</a>
</div>
<!-- End .project-info -->
</div>
<!-- End .project -->
<div class="project shadow-large">
<div class="project-image">
<img src="images/trash.jpg" />
</div>
<!-- End .project-image -->
<div class="project-info">
<h3>Trash Classification based on CNN</h3>
<p>(Python, PyTorch, CNN, Obeject Localization)</p>
<p>
<ul>
<li>
Apply networks among AlexNet, VGG-16 and ResNet-18, also compared the optimization method.
</li>
<li>
Augmented the dataset and trained the model to classify single waste object (seven classes)
</li>
<li>Did the object detection and localization after classification
</li>
</ul>
</p>
<a href="https://github.com/danny95333/Trash-Classification-based-on-CNN">View Project</a>
</div>
<!-- End .project-info -->
</div>
<!-- End .project -->
</div>
</div>
</div>
<!-- End #projects -->
<div id="skills">
<h2 class="heading">Skills</h2>
<ul>
<li>Python</li>
<li>Matlab</li>
<li>PyTorch</li>
<li>TensorFlow</li>
<li>Keras</li>
<li>Caffee</li>
<li>C</li>
<li>C++</li>
<li>Java</li>
<li>JavaScript</li>
<li>html</li>
<li>css</li>
<li>Ubuntu</li>
<li>CUDA</li>
<li>cuDNN</li>
</ul>
</div>
<!-- End #skills -->
<div id="contact">
<h2>Get in Touch</h2>
<div id="contact-form">
<form method="POST" action="https://wang.yiw@husky.neu.edu">
<input type="hidden" name="_subject" value="Contact request from personal website" />
<input type="email" name="_replyto" placeholder="Your email" required>
<textarea name="message" placeholder="Your message" required></textarea>
<button type="submit">Send</button>
</form>
</div>
<!-- End #contact-form -->
</div>
<!-- End #contact -->
<footer>
<div class="container">
<div class="row">
<div class="col-sm-5 copyright">
<p>
Email: wang.yiw@husky.neu.edu
</p>
<p>
Copyright © 2018 Yiwei Wang
</p>
</div>
<div class="col-sm-2 top">
<span id="to-top">
<i class="fa fa-chevron-up" aria-hidden="true"></i>
</span>
</div>
<div class="col-sm-5 social">
<ul>
<li>
<a href="https://github.com/danny95333" target="_blank"><i class="fa fa-github" aria-hidden="true"></i></a>
</li>
<li>
<a href="https://www.linkedin.com/in/yiwei-wang-42215814b/" target="_blank"><i class="fa fa-linkedin" aria-hidden="true"></i></a>
</li>
</ul>
</div>
</div>
</div>
</footer>
<!-- End footer -->
<script src="https://ajax.googleapis.com/ajax/libs/jquery/1.12.4/jquery.min.js"></script>
<script src="js/scripts.min.js"></script>
</body>
</html>