index.html


<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.1//EN"
  "http://www.w3.org/TR/xhtml11/DTD/xhtml11.dtd">
<html xmlns="http://www.w3.org/1999/xhtml" xml:lang="en">
<script type="text/javascript" src="js/shownews.js"></script>
<head>
<meta name="generator" content="jemdoc, see http://jemdoc.jaboc.net/" />
<meta http-equiv="Content-Type" content="text/html;charset=utf-8" />
<link rel="stylesheet" href="jemdoc.css" type="text/css" />
<link rel="icon" type="image/png" href="imgs/FDU.png">

<title>Ke Zhang </title>
</head>
<body>
<div id="layout-content">
<div id="toptitle">
<h1>Ke Zhang</h1>
</div>
<table class="imgtable"><tr><td>
<img src="./imgs/photo2.jpg" alt="weixs" width="200px" height="150px" />&nbsp;</td> 
<td align="left"><p>
<br />
<b>PhD Student</b>, ECE, Johns Hopkins University<br />
<b>Email:</b>ke_zhang20@fudan.edu.cn</p>
<p><a href="https://github.com/BWGZK"><b>Github</b></a> | <a href="https://www.linkedin.com/in/ke-zhang-b305a5184/"><b>Linkedin</b></a> | <a href="https://scholar.google.com/citations?user=bkwdIYcAAAAJ&hl=zh-CN"><b>Google Scholar</b></a>
<p><b>Research interests:</b> Computer  Vision,  AI in Healthcare, Medical Image Analysis</p>
Ke Zhang is a ECE PhD student at  Johns Hopkins University, advised by Prof. <a href="https://engineering.jhu.edu/faculty/vishal-patel/">Vishal Patel</a>. Previously, she obtained her Master degree from <a href="https://zmiclab.github.io/">ZMIC Lab</a> at School of Data Science, Fudan University, advised by Prof.<a href="https://zmiclab.github.io/zxh/"> Xiahai Zhuang</a>.  She obtained her B.S. from the School of Data Science, Fudan University. She interned at Microsoft Research, Sensetime, and PAII Inc.</a>
</td></tr></table>

<p>One paper early accepted by MICCAI 2024 (^ ^).</p>
  
<h2>Selected Publications</h2>

<table class="imgtable"><tr><td>
<img src="./imgs/ModelMix.png" alt="SciChina" width="200px" height="150px" />&nbsp;</td>
<td align="left"><ul>
<li><p><a href="http://arxiv.org/abs/2301.04882"><b>ModelMix: A New Model-Mixup Strategy to Minimize Vicinal Risk across Tasks for Few-scribble based Cardiac Segmentation</b></a>
<br /> <font size=2.5> <b>Ke Zhang</b>, Vishal M. Patel</font>
<br /> MICCAI (early accept), 2024
</li>
</ul>
</td></tr></table>
  
<table class="imgtable"><tr><td>
<img src="./imgs/ZScribble.png" alt="SciChina" width="200px" height="150px" />&nbsp;</td>
<td align="left"><ul>
<li><p><a href="http://arxiv.org/abs/2301.04882"><b>ZScribbleSeg: Zen and the Art of Scribble Supervised Medical Image Segmentation</b></a>
<br /> <font size=2.5> <b>Ke Zhang</b>, Xiahai Zhuang</font>
<br /> Arxiv preprint, 2023, <a href="http://arxiv.org/abs/2301.04882">paper</a>
</li>
</ul>
</td></tr></table>

<table class="imgtable"><tr><td>
<img src="./imgs/ShapePU-v1.png" alt="SciChina" width="200px" height="150px" />&nbsp;</td>
<td align="left"><ul>
<li><p><a href="https://link.springer.com/chapter/10.1007/978-3-031-16452-1_16"><b>ShapePU: A New PU Learning Framework Regularized by Global Consistency for Scribble Supervised Cardiac Segmentation</b></a>
<br /> <font size=2.5> <b>Ke Zhang</b>, Xiahai Zhuang</font>
<br /> MICCAI, 2022, <a href="https://arxiv.org/abs/2206.02118">paper</a> and <a href="https://github.com/BWGZK/ShapePU">code</a> 
</li>
</ul>
</td></tr></table>
  
<table class="imgtable"><tr><td>
<img src="./imgs/CVPR.png" alt="SciChina" width="200px" height="150px" />&nbsp;</td>
<td align="left"><ul>
<li><p><a href="https://openaccess.thecvf.com/content/CVPR2022/papers/Zhang_CycleMix_A_Holistic_Strategy_for_Medical_Image_Segmentation_From_Scribble_CVPR_2022_paper.pdf"> <b>CycleMix: A Holistic Strategy for Medical Image Segmentation from Scribble Supervision</b></a>
<br /> <font size=2.5> <b>Ke Zhang</b>, Xiahai Zhuang</font>
<br /> CVPR, 2022, <a href="https://openaccess.thecvf.com/content/CVPR2022/papers/Zhang_CycleMix_A_Holistic_Strategy_for_Medical_Image_Segmentation_From_Scribble_CVPR_2022_paper.pdf">paper</a> and <a href="https://github.com/BWGZK/CycleMix">code</a> 
</li>
</ul>
</td></tr></table>
  
<table class="imgtable"><tr><td>
<img src="./imgs/DCL.png" alt="SciChina" width="200px" height="150px" />&nbsp;</td>
<td align="left"><ul>
<li><p><a href="http://arxiv.org/abs/2206.09148"><b>Deep Compatible Learning for Partially-Supervised Medical Image Segmentation</b></a>
<br /> <font size=2.5> <b>Ke Zhang</b>, Xiahai Zhuang</font>
<br /> Arxiv preprint, 2021, <a href="http://arxiv.org/abs/2206.09148">paper</a>
</li>
</ul>
</td></tr></table>


<h2>Journal Reviewer</h2>
<ul>
  <li><p> IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)</li>
  <li><p> Medical Image Analysis (MedIA)</li>
  <li><p> IEEE Transactions on Medical Imaging (TMI)</li>
</ul>
  
<h2>Conference Reviewer</h2>
<ul>
  <li><p> International Conference on Machine Learning (ICML)</li>
  <li><p> Conference on Neural Information Processing Systems (NeurIPS)</li>
  <li><p> International Conference on Learning Representations (ICLR)</li>
  <li><p> Computer Vision and Pattern Recognition Conference (CVPR)</li>
  <li><p> International Conference on Computer Vision (ICCV)</li>
  <li><p> European Conference on Computer Vision (ECCV)</li>
  <li><p> International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI)</li>
</ul>
  
<h2>Award</h2>
<ul>
  <li><p>Academic Star Award of Fudan University, 2023</li>
  <li><p>Excellent Graduate Award of Shanghai, 2023</li>
  <li><p>China National Scholarship, 2022</li>
</ul>
  
  
<h2>Teaching Assistant</h2>
<ul>
  <li><p> FUDAN DATA130043, Spring 2023, Medical Image Processing. </p></li>
  <li><p> FUDAN DATA130044, Autumn 2022, Multivariate Statistical Analysis.</p> </li>
  <li><p> FUDAN DATA130043, Spring 2022, Medical Image Processing. </p></li>
  <li><p> FUDAN DATA130049, Autumn 2020, Image Processing and Visualization.</p> </li>
  <li><p> FUDAN DATA620018, Spring 2020, Data Visualization. </p></li>
</ul>
  

<h2>Internships</h2>

<ul>
<li><p>I am lucky to have been able to intern in several excellent institutions. I have worked on data analysis, empirical study, back-end development, etc.
</li>

 <li><p>Now I focus on the research of medical imaging and feel glad to be engaged in the challenging field of AI in healthcare.
</li>
</ul>


  <div id="content",align="center">
    <figure>
        <img src="./imgs/Microsoft-Logo.png" alt="SciChina" width="150px" height="120px" class="images" />
        <figcaption><font size ="2.7"><b>Research Intern</b></font><p><font size ="2">Applied sciences group</font></p></figcaption>
    </figure>
     <figure>
        <img src="./imgs/sensetime.jpg" alt="SciChina" width="150px" height="120px" class="images" />
        <figcaption><font size ="2.7"><b>Research Intern</b></font><p><font size ="2">Medical imaging team</font></p></figcaption>
    </figure>
    <figure>
        <img src="./imgs/pingan.jpg" alt="SciChina" width="150px" height="120px" class="images" />
        <figcaption><font size ="2.7"><b>Research Intern</b></font><p><font size ="2">Medical imaging team</font></p></figcaption>
    </figure>
    <figure>
        <img src="./imgs/graviti.jpg" alt="SciChina" width="150px" height="120px" class="images" />
        <figcaption><font size ="2.7"><b>Development Engineer</b></font><p><font size ="2">Golang cloud service</font></p></figcaption>
    </figure>
    <figure>
         <img src="./imgs/cuhk.png" alt="SciChina" width="150px" height="120px"  class="images" />
      <figcaption><font size ="2.7"><b>Research Assistant</b></font><p><font size ="2">Empirical study</font></p></figcaption>
    </figure>
    <figure>
        <img src="./imgs/deloitte.jpg" alt="SciChina" width="150px" height="120px" class="images" />
      <figcaption><font size ="2.7"><b>Data Specialist</b></font><p><font size ="2">Deloitte AI Institute</font></p></figcaption>
    </figure>
        <figure>
        <img src="./imgs/cpic.png" alt="SciChina" width="150px" height="120px" class="images" />
      <figcaption><font size ="2.7"><b>Data Analyst</b></font><p><font size ="2">Digital Center</font></p></figcaption>
    </figure>
  </div>
</section>


<div id="footer">
<div id="footer-text">
Last update 2024-04-03.
</div>
</div>
</div>
</body>
</html>