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<!DOCTYPE html>
<head>
<meta http-equiv="Content-Type" content="text/html; charset=utf-8">
<title>Yaobin's Homepage</title>
<style type="text/css">
body {
border: 2px #fff solid;
border-radius: 4px;
margin-left: 15%;
margin-right: 15%;
background-color: #fff;
color: #666;
}
sidebar {
width: 100%;
margin: 0;
}
ul.menu{
list-style-type:none;
margin:0;
padding:0;
}
li.menu{
display:inline;
padding:4%;
}
h1 {
height: 1.5em;
background-color: #fff;
color: #000;
width: 100%;
}
h2 {
height: 1.5em;
background-color: #fff;
color: #06F;
width: 100%;
}
pre {
font-size: 10pt;
background-color: #fffff4;
border: 1px solid #999;
line-height: 15px;
}
body,td,th {
color: #000;
}
a:link {
color: #06F;
}
</style>
</head>
<body>
<div class="header">
<div class="page-title"><h1><center>Yaobin Zhang (张耀斌)</center></h1></div>
</div><br />
<table style="width:100%;border:0px;border-spacing:0px;border-collapse:separate;margin-right:auto;margin-left:auto;"><tbody>
<tr style="padding:0px">
<td style="padding:1%;width:33%;max-width:33%">
<img style="width:100%;max-width:100%" alt="profile photo" src="photo.JPG" class="hoverZoomLink"></a>
</td>
<td style="width:67%;vertical-align:middle">
<p>I received my M.S. degree in Information and Communication Engineering from Beijing University of Posts and Telecommunications (BUPT) in 2022, under the advision of <a href="http://whdeng.cn"> Prof. Weihong Deng </a>.</p>
<p>Before that, I received my B.S. degree in Communication Engineering, also from BUPT, in 2019.</p>
<p>During my college years, I did research in the field of computer vision and deep learning. Now I'm working on GPU accelerated computing at NVIDIA.</p>
<p>Email: zhangyaobin.zyb AT outlook.com</p>
</td>
</tr>
</tbody></table>
<div class="section details">
<dl>
<a id="talk"></a>
<dt><h2 class="animated-title">Talk<br></h2></dt>
<p>Check out our talk at GTC 2024: Accelerate Recommender Systems and Increase GPU Utilization With Multiple CUDA Streams. [<a href=https://www.nvidia.com/en-us/on-demand/session/gtc24-s61278/>GTC website</a>, or our <a href=https://pan.baidu.com/s/1DY74X5Ywr5aakVAGdHODfQ?pwd=m93x>live footage</a> (code: m93x)]</p>
<a id="career"></a>
<dt><h2>Career</h2></dt>
<ul>
<li><p>2022.7~Now: DevTech Engineer, <strong>NVIDIA</strong>, Beijing.</p>
<ul>
<li>We help our customers accelerate their workloads with cutting-edge GPU technology, and develop new GPU solutions.</li>
</ul>
</li>
<li><p>2021.5~2021.10: Research Intern, <strong>Alibaba DAMO Academy</strong>, Beijing.</p>
<ul>
<li>Team: Machine Intelligence - Offline Intelligence.</li>
<li>Direction: Graph Neural Network and Clustering.</li>
</ul>
</li>
<li><p>2020.11~2021.3: Research Intern, <strong>Bytedance Inc.</strong>, Beijing.</p>
<ul>
<li>Team: Commercialization - Vision Technology (The original AI-Lab Vision Computing Team).</li>
<li>Direction: Graph Embedding and Ads Recommondation.</li>
</ul>
</li>
</ul>
<a id="publications"></a>
<dt><h2>Publications<br></h2></dt>
<ol>
<li><b>Yaobin Zhang</b>, Weihong Deng, et al., Global-Local GCN: Large-Scale Label Noise Cleansing for Face Recognition, CVPR 2020. <a href="https://openaccess.thecvf.com/content_CVPR_2020/papers/Zhang_Global-Local_GCN_Large-Scale_Label_Noise_Cleansing_for_Face_Recognition_CVPR_2020_paper.pdf" target="_blank">[paper]</a></li>
<li><b>Yaobin Zhang</b>, Weihong Deng, et al., Adaptive Label Noise Cleaning with Meta-Supervision for Deep Face Recognition, ICCV 2021. <a href=https://openaccess.thecvf.com/content/ICCV2021/papers/Zhang_Adaptive_Label_Noise_Cleaning_With_Meta-Supervision_for_Deep_Face_Recognition_ICCV_2021_paper.pdf" target="_blank">[paper]</a></li>
<li><b>Yaobin Zhang</b>, Weihong Deng, Class-Balanced Training for Deep Face Recognition, CVPR Workshop 2020. <a href="https://openaccess.thecvf.com/content_CVPRW_2020/papers/w48/Zhang_Class-Balanced_Training_for_Deep_Face_Recognition_CVPRW_2020_paper.pdf" target="_blank">[paper]</a></li>
<li>Mei Wang, <b>Yaobin Zhang</b>, Weihong Deng, Meta Balanced Network for Fair Face Recognition, IEEE TPAMI. <a href=https://ieeexplore.ieee.org/abstract/document/9512390" target="_blank">[paper]</a></li>
<li>Yaohua Wang, <b>Yaobin Zhang</b>, et al., Ada-NETS: Face Clustering via Adaptive Neighbour Discovery in the Structure Space, ICLR 2022. <a href=https://openreview.net/forum?id=QJWVP4CTmW4" target="_blank">[openreview]</a></li>
<li>Shiyong Hong, <b>Yaobin Zhang</b>, et al., Face Clustering via Adaptive Aggregation of Clean Neighbors, HCMA 2022. <a href=https://dl.acm.org/doi/abs/10.1145/3552458.3556448" target="_blank">[paper]</a></li>
</ol>
<a id="datasets"></a>
<dt><h2>Datasets<br></h2></dt>
<ol>
<li><b>BUPT-XFace + RFW</b>: A series of databases for improving fairness in face recognition. <a href="http://whdeng.cn/RFW" target="_blank">[homepage]</a></li>
<li><b>MillionCelebs</b>: One Million Celebrity Face Recognition Dataset. <a href="/MillionCelebs" target="_blank">[homepage]</a></li>
<li><b>BUPT-CBFace</b>: A Class-Balanced Dataset for Efficient Face Recognition. <a href="/CBFace" target="_blank">[homepage]</a></li>
</ol>
<a id="Awards"></a>
<dt><h2>Awards</h2></dt>
<ul>
<li>The <b>1st</b> place for VISA 1:N and the <b>4th</b> place for 1:1 in NIST <a href="https://www.nist.gov/programs-projects/face-recognition-vendor-test-frvt">FRVT</a> Face Recognition Competition, 2020.</li>
<li><b>The China National Scholarship</b> twice, during both undergraduate and postgraduate studies.</li>
<li>Beijing Outstanding Undergraduate Thesis Award, 2019.</li>
<li><b>Bronze medal</b> in the final of The Chinese Mathematics Competitions (CMC), 2018.</li>
<li>The <b>3rd</b> place in the CMC Beijing competition area, 2017.</li>
<li><b>Meritorious Winner</b> of Mathematical Contest In Modeling (MCM), 2017.</li>
<li><b>First Prize</b> of the 31st Beijing Astronomy Competition, 2013.</li>
</ul>
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<footer class="row footer-row">
<div class="coffee-span-12 footer-column">
<div class="rule">
<hr>
</div>
<p style="text-align:center">Please feel free to <a href="mailto:[email protected]">contact me</a> if you have any questions or concerns.</p>
</div>
</footer>
</body></html>