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<!DOCTYPE html PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
<!-- saved from url=(0023)https://jonbarron.info/ -->
<html><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
<meta name="viewport" content="“width=800”">
<meta name="generator" content="HTML Tidy for Linux/x86 (vers 11 February 2007), see www.w3.org">
<meta name="google-site-verification" content="lGlY6F1I2b7yA5MW6dxMTlgkIX30A45S55qqbJlauP8" />
<style type="text/css">
/* Color scheme stolen from Sergey Karayev */
a {
color: #1772d0;
text-decoration:none;
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a:focus, a:hover {
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body,td,th,tr,p,a {
font-family: 'Lato', Verdana, Helvetica, sans-serif;
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name {
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font-size: 32px;
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.one
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width: 160px;
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{
width: 160px;
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span.highlight {
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</style>
<link rel="icon" type="image/png" href="https://jonbarron.info/seal_icon.png">
<title>Yihao Zhao</title>
<link href="./QingnanFan_files/css" rel="stylesheet" type="text/css">
<script charset="utf-8" src="chrome-extension://jgphnjokjhjlcnnajmfjlacjnjkhleah/js/btype.js"></script></head>
<body>
<table width="800" border="0" align="center" cellspacing="0" cellpadding="0">
<tbody><tr>
<td>
<table width="100%" align="center" border="0" cellspacing="0" cellpadding="20">
<tbody><tr>
<td width="67%" valign="middle">
<p align="center">
<name>Yihao Zhao｜赵怡浩</name>
</p>
<p>
I am a fourth-year Ph.D. candidate in the Department of Computer Science at Peking University,
co-advised by <a href="http://www.liuxuanzhe.com"> Prof. Xuanzhe Liu</a> and <a href="https://xinjin.github.io/"> Prof. Xin Jin</a>.
I received my bachelor degree from <a href="https://cfcs.pku.edu.cn/english/research/turingprogram/introduction1/index.htm">Turing Class</a> of <a href="http://english.pku.edu.cn/">Peking University</a>.
I was a research intern in the Hyperplane Lab led by <a href="https://zsdonghao.github.io/"> Prof. Hao Dong</a> from July 2019 to Sept. 2020.
</p>
<p align="center">
<a href="mailto:[email protected]">Email</a>  / 
<a href="./CV.pdf">CV</a>  / 
<a href="https://github.com/Rivendile">GitHub</a>
</p>
</td>
<td width="33%">
<img src="./images/yihao_photo.jpg">
</td>
</tr>
</tbody></table>
<table width="100%" align="center" border="0" cellspacing="0" cellpadding="20">
<tbody><tr>
<td width="100%" valign="middle">
<heading>Research</heading>
<p>
My research interest lies in ML-related large-scale scheduling and management, e.g., ML cluster scheduling and datacenter network management.
</p>
</td>
</tr>
</tbody></table>
<table width="100%" align="center" border="0" cellspacing="0" cellpadding="20">
<tbody>
<tr onmouseout="portrait_stop()" onmouseover="portrait_start()">
<td valign="top" width="100%">
<papertitle>MuxFlow: Efficient GPU Sharing in Production-Level Clusters with More Than 10,000 GPUs</papertitle>
<br>
Xuanzhe Liu (Advisor), <strong>Yihao Zhao</strong>, Shufan Liu, Xiang Li, Yibo Zhu, Xin Liu, Xin Jin.
<br>
<em>SCIS</em>, 2024 <br>
to appear
<p></p>
</td>
</tr>
<tr onmouseout="portrait_stop()" onmouseover="portrait_start()">
<td valign="top" width="100%">
<papertitle>GreenFlow: A Carbon Efficient Scheduler for Deep Learning Workloads</papertitle>
<br>
Diandian Gu, <strong>Yihao Zhao</strong>, Peng Sun, Xuanzhe Liu, Xin Jin.
<br>
<em>TPDS</em>, 2024 <br>
paper
<p></p>
</td>
</tr>
<tr onmouseout="portrait_stop()" onmouseover="portrait_start()">
<td valign="top" width="100%">
<papertitle>Klotski: Efficient and Safe Network Migration of Large Production Datacenters</papertitle>
<br>
<strong>Yihao Zhao*</strong>, Xiaoxiang Zhang*, Hang Zhu, Ying Zhang, Zhaodong Wang, Yuandong Tian, Alex Nikulkov, Joao Ferreira, Xuanzhe Liu, Xin Jin.
<br>
<em>SIGCOMM</em>, 2023 <br>
<a href="https://dl.acm.org/doi/10.1145/3603269.3604818">paper</a>
<p></p>
</td>
</tr>
<tr onmouseout="portrait_stop()" onmouseover="portrait_start()">
<td valign="top" width="100%">
<papertitle>ElasticFlow: An Elastic Serverless Training Platform for Distributed Deep Learning</papertitle>
<br>
<a href="https://gudiandian.github.io/">Diandian Gu*</a>, <strong>Yihao Zhao*</strong>, Yinmin Zhong, Yifan Xiong, Zhenhua Han, Peng Cheng, Fan Yang, Gang Huang, Xin Jin, Xuanzhe Liu.
<br>
<em>ASPLOS</em>, 2023 <br>
<a href="https://dl.acm.org/doi/pdf/10.1145/3575693.3575721">paper</a>
/
<a href="https://github.com/gudiandian/ElasticFlow-artifact">code</a>
<p></p>
</td>
</tr>
<tr onmouseout="portrait_stop()" onmouseover="portrait_start()">
<td valign="top" width="100%">
<papertitle>Multi-Resource Interleaving for Deep Learning Training</papertitle>
<br>
<strong>Yihao Zhao</strong>, Yuanqiang Liu, Yanghua Peng, Yibo Zhu, Xuanzhe Liu, Xin Jin.
<br>
<em>SIGCOMM</em>, 2022 <br>
<a href="https://dl.acm.org/doi/pdf/10.1145/3544216.3544224?casa_token=bWSeBnzCihEAAAAA:qHOmZMp3c8LkXcrkrTfUET1b1wLk3VgYgMJxJULC2uI2YvscisoyKElK0eviX4x39ny_EceDhrYks6o">paper</a>
/
<a href="https://github.com/Rivendile/Muri">code</a>
<p></p>
</td>
</tr>
<tr onmouseout="portrait_stop()" onmouseover="portrait_start()">
<td valign="top" width="100%">
<papertitle>Unpaired Image-to-Image Translation using Adversarial Consistency Loss</papertitle>
<br>
<strong>Yihao Zhao</strong>,
<a href="https://warshallrho.github.io">Ruihai Wu</a>,
<a href="https://zsdonghao.github.io/">Hao Dong</a>.
<br>
<em>ECCV</em>, 2020 <br>
<a href="https://arxiv.org/abs/2003.04858">paper</a>
/
<a href="https://github.com/hyperplane-lab/ACL-GAN">code</a>
/
<a href="./bib/aclgan.bib">bibtex</a>
<p></p>
</td>
</tr>
</tbody></table>
<table width="100%" align="center" border="0" cellspacing="0" cellpadding="20">
<tbody><tr>
<td width="100%" valign="middle">
<heading>Experiences</heading>
</td>
</tr>
</tbody></table>
<table width="100%" align="center" border="0" cellspacing="0" cellpadding="20">
<tbody><tr>
<td width="100%" valign="middle">
<h3>Intern</h3>
<li>Research Intern @ ByteDance, Beijing</li>
<ul>
<li>Jan. 2021 - Oct. 2021, May 2022 - Oct. 2023</li>
<li>Mentor: Yanghua Peng, Xin Liu, Yibo Zhu</li>
</ul>
</td>
</tr>
</tbody></table>
<table width="100%" align="center" border="0" cellspacing="0" cellpadding="20">
<tbody><tr>
<td width="100%" valign="middle">
<h3>Teaching Experience</h3>
<li> TA, Distributed Maching Learning, PKU (Fall 2022, Fall 2023)
<li> TA, Introduction to Computing (A), PKU (Fall 2021)
<li> TA, Introduction to Computer Systems, PKU (Fall 2019)
</td>
</tr>
</tbody></table>
</body></html>