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<!DOCTYPE HTML>
<html>
<head>
<meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
<meta name="author" content="Benaissa Ghrib" />
<meta name="viewport" content="width=device-width, initial-scale=1, maximum-scale=1">
<title>DS3Lab @ ETH Zurich</title>
<!--Stylesheet-->
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<a class="scroll" href="#wrapper"><h1>DS3lab @ ETH Zurich</h1></a>
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<!--Navigation-->
<nav id="mainNav" >
<a href="#" class="mobileBtn" ><i class="icon-menu"></i></a>
<ul>
<li><a class="scroll" href="#about">About us</a></li>
<li><a class="scroll" href="#news">News</a></li>
<!--<li><a class="scroll" href="#services">Research</a></li>-->
<li><a class="scroll" href="#masterthesis">Open Master Thesis</a></li>
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<li><img src="images/zurich-night1.jpg" class="slide" alt=""/>
<div class="caption">
<p><h1>DS3Lab @ ETH Zurich</h1></p>
<!--<p><strong><font color="white">Sciences / Systems / Services</font></strong></p>-->
</div>
</li>
</ul>
</div>
<!--End main slider-->
</div>
<!--End slider-->
<!--About section-->
<section id="about" class="about offsetBottom">
<div class="introBg"></div>
<!--Container-->
<div class="container clearfix">
<!--Intro-->
<div class="eight columns intro">
<!--Intro-->
<div class="innerIntro">
<h1 class="mainTitle">A Research Group @ ETH Zurich</h1>
<p>
We are a computer science research group in the
<a href="https://systems.ethz.ch">Systems Group</a>,
<a href="https://www.inf.ethz.ch">Department of Computer Science</a>, <a href="https://ethz.ch">ETH Zurich</a>.
Our collective dream as a research group is to eliminate the barrier between people and technology --- how can we provide state-of-the-art technology to those who can benefit from it without them having to understand all the technical details?
As of today, our research spans from data management systems,
modern hardware, machine learning systems and theory, to a range of domain applications such as biology, astronomy,
and social sciences.
</p>
<p>
<h4><i class="icon-mail"></i>Ce Zhang, ce.zhang@inf.ethz.ch.</h4>
</p>
</div>
<!--End inner intro-->
</div>
<!--End intro-->
<!--Feature-->
<div class="eight columns features ">
<!--Inner features-->
<div class="featuresInner">
<!--Feature single-->
<div class="ft clearfix">
<div class="ftIco">
<span class="ico"><i class="icon-key"></i></span>
</div>
<div class="ftDet">
<h3>Data Sciences</h3>
<p>How can machine learning enable new sciences and applications
that make the world a better place?</p>
</div>
</div>
<!--End feature single-->
<!--Feature single-->
<div class="ft clearfix">
<div class="ftIco">
<span class="ico"><i class="icon-database"></i></span>
</div>
<div class="ftDet">
<h3>Data Systems</h3>
<p>How to build a learning system, over a collection of modern hardwares, that runs
as efficient as possible? </p>
</div>
</div>
<!--End feature single-->
<!--Feature single-->
<div class="ft clearfix">
<div class="ftIco">
<span class="ico"><i class="icon-user"></i></span>
</div>
<div class="ftDet">
<h3>Data Services</h3>
<p>How to make machine learning as usable as possible,
with maybe only a couple of clicks on the cloud? </p>
</div>
</div>
<!--End feature single-->
</div>
<!--End inner features-->
</div>
<!--End features-->
</div>
<!--End container-->
</section>
<!--End about section-->
<!--About details-->
<section id="aboutDetails" class="aboutDetails offsetBottom">
<!--Team-->
<div class="team offsetBottom">
<!--Container-->
<div class="container clearfix ">
<!--Team thumbs-->
<div class="nine columns teamThumbs">
<ul class="thumbs">
<li><center><a href="#daviddao"><img src="https://www.systems.ethz.ch/sites/default/files/imagecache/people/david_vizbi.png" alt=""><span></span></a></center></li>
<li><center><a href="#shaoduogan"><img src="https://www.systems.ethz.ch/sites/default/files/imagecache/people/shaoduogun1.JPG" alt=""><span></span></a></center></li>
<li><center><a href="#mervegurel"><img src="https://www.systems.ethz.ch/sites/default/files/imagecache/people/number_1.jpg" alt=""><span></span></a></center></li>
<li><center><a href="#norahollenstein"><img src="https://gitlab.cl.uzh.ch/uploads/-/system/user/avatar/123/avatar.png" alt=""><span></span></a></center></li>
<li><center><a href="#bojankarlas"><img src="https://www.systems.ethz.ch/sites/default/files/imagecache/people/Bojan.jpg" alt=""><span></span></a></center></li>
<li><center><a href="#susierao"><img src="images/t2.jpg" alt=""><span></span></a></center></li>
<li><center><a href="#johannesrausch"><img src="https://www.systems.ethz.ch/sites/default/files/imagecache/people/johannesrausch1.jpg" alt=""><span></span></a></center></li>
<li><center><a href="#cedricrenggli"><img src="https://www.systems.ethz.ch/sites/default/files/imagecache/people/CR_2_Passbild.jpg" alt=""><span></span></a></center></li>
<li><center><a href="#thomaslemmin"><img src="https://www.systems.ethz.ch/sites/default/files/imagecache/people/ThomasLemmin2_0.jpg" alt=""><span></span></a></center></li>
<li><center><a href="#cezhang"><img src="https://i0.wp.com/www.inf.ethz.ch/personal/ce.zhang/images/en.person_image.jpeg" alt=""><span></span></a></center></li>
<li><center><a href="#hantianzhang"><img src="https://people.inf.ethz.ch/hanzhang/images/hantian.jpg" alt=""><span></span></a></center></li>
<li><center><a class="tactive" href="#openpositions"><img src="images/andyou.png" alt=""><span></span></a></center></li>
</ul>
</div>
<!--End team thumbs-->
<!--Team details-->
<div class="seven columns teamDetails">
<h1>Current Members (Hover over Pics for Bio) </h1>
<div id="daviddao" class="td"><h3>
David Dao
<span></span></h3>
<p>BIO
</p></div>
<div id="shaoduogan" class="td"><h3>
Shaoduo Gan
<span></span></h3>
<p>BIO
</p></div>
<div id="mervegurel" class="td"><h3>
Nezihe Merve Gürel
<span></span></h3>
<p>BIO
</p></div>
<div id="norahollenstein" class="td"><h3>
Nora Hollenstein
<span></span></h3>
<p>BIO
</p></div>
<div id="bojankarlas" class="td"><h3>
Bojan Karlas
<span></span></h3>
<p>BIO
</p></div>
<div id="susierao" class="td"><h3>
Susie Rao
<span></span></h3>
<p>BIO
</p></div>
<div id="johannesrausch" class="td"><h3>
Johannes Rausch
<span></span></h3>
<p>BIO
</p></div>
<div id="cedricrenggli" class="td"><h3>
Cedric Renggli
<span></span></h3>
<p>BIO
</p></div>
<div id="thomaslemmin" class="td"><h3>
Thomas Lemmin
<span></span></h3>
<p>BIO
</p></div>
<!-- List of Members -->
<div id="cezhang" class="td"><h3>
Ce Zhang [<a href="people/czhang.html"><i class="icon-link">Personal Homepage</i></a>]
<span></span></h3>
<p>Ce is an Assistant Professor in Computer Science at ETH Zurich. He believes that by making data—along with the processing of data—easily accessible to non-CS users, we have the potential to make the world a better place. His current research focuses on building data systems to support machine learning and help facilitate other sciences. Before joining ETH, Ce was advised by Christopher Ré. He finished his PhD round-tripping between the University of Wisconsin-Madison and Stanford University, and spent another year as a postdoctoral researcher at Stanford. His PhD work produced DeepDive, a trained data system for automatic knowledge-base construction. He participated in the research efforts that won the SIGMOD Best Paper Award (2014) and SIGMOD Research Highlight Award (2015), and was featured in special issues including the Science magazine (2017), the Communications of the ACM (2017), “Best of VLDB” (2015), and the Nature magazine (2015).
</p>
</div>
<div id="hantianzhang" class="td"><h3>
Hantian Zhang
<span></span></h3>
<p>BIO
</p></div>
<div id="openpositions" class="td first"><h3>
Open Positions
<span></span></h3>
<p>ETH Zurich is one of the top universities in Europe and the world. We, as part of the
<a href="https://systems.ethz.ch">Systems Group</a>, are always looking for top candidates for postdoc researchers, PhD, and Master’s thesis. Specifically, my group is looking for candidates who are excited about system research related to data management, machine learning, distributed systems, and computer architecture.</p>
<br/>
<p>
<i class="icon-mail"></i>If you are interested, send an email to
ce.zhang@inf.ethz.ch.
</p></div>
</div>
<!--End team details-->
</div>
<!--End container-->
</div>
<!--End team-->
<!--Portfolio section-->
<section id="news" class="offsetBottom">
<!--Section title-->
<div class="secTitle darkgrey">
<!--Container-->
<div class="container clearfix">
<div class="row sectitleInner">
<h1 class="mainTitle darkgrey">News</h1>
</div>
</div>
<!--End container-->
</div>
<!--End section title-->
<!--Section content-->
<div class="secContent">
<!--Container-->
<div class="container clearfix">
<p><br/></p>
<!--Filter nav-->
<!--
<div class="filterNav">
<ul class="filter2" id="category">
<li class="News2018 current" ><a href="#" id="latestclick"> 2018</a></li>
<li class="News2017"><a href="#"> 2017</a></li>
<li class="News2016"><a href="#"> 2016</a></li>
<li class="all"><a href="#">All</a></li>
</ul>
</div>
-->
<!--End filter nav-->
<!-- Works list -->
<div id="works" class="clearfix ">
<!--Portfolio-->
<ul class="news clearfix">
<!-- List of EXITING News -->
<li class="sixteen columns item " data-id="n3" data-type="News2018"><div ><div>
<div class="three columns item">
<img src="images/semeval.png" height="200px;"/>
</div>
<div class="twelve columns item"><p><i class="icon-megaphone"></i>
<font color="brown">Nora Hollenstein and Jonathan Rotsztejn</font>'s system ranked first in the relation classification subtask among 28 international teams in SemEval 2018 (Task 7 Subtask 1) ! Their system also ranks top 1 and top 2 for two other relation extraction subtasks (Task 7 Subtask 2). The corresponding paper is also selected as the <font color="brown">best paper</font>
of SemEval 2018 Task 7.
</p></div></div></div></li>
<li class="sixteen columns item " data-id="n2" data-type="News2017"><div ><div>
<div class="three columns item">
<iframe src="https://www.youtube.com/embed/Y-W1XLKpsVw" height="200px;">
</iframe>
</div>
<div class="twelve columns item">
<p>
<i class="icon-megaphone"></i>
Our NIPS paper on decentralized learning is selected as
<font color="brown">oral presentation 40/3240 submissions</font>
<- Video hosted on YouTube might not be accessiable in some countries.
</p>
</div>
</div></div></li>
<li class="sixteen columns item " data-id="n1" data-type="News2017"><div ><div>
<div class="three columns item">
<img src="images/6346.cover-source.gif" width="170px;"/>
</div>
<div class="twelve columns item"><p>
<i class="icon-megaphone"></i>
<font color="brown">space.ml</font> is featured in a News article in the <font color="brown">Science</font> magazine [<a href="http://science.sciencemag.org/content/357/6346/26.full">link</a>].
<font color="brown">GalaxyGAN</font> is selected as the Editor’s Choice in the <font color="brown">Science</font> magazine [<a href="http://science.sciencemag.org/content/355/6331/1278.5">link</a>], the <font color="brown">Atlantic</font> [<a href="https://www.theatlantic.com/technology/archive/2017/03/machines-will-do-our-stargazing-for-us/518319/">link</a>],
and <font color="brown">WIRED Science</font> [<a href="https://www.wired.com/2017/03/astronomers-deploy-ai-unravel-mysteries-universe/">link</a>].
</p></div></div></div></li>
</ul>
<!--End portfolio-->
</div>
<!-- End works list -->
</div>
<!--End container-->
</div>
<!--End section content -->
</section>
<!--
<section id="services" class="services offsetBottom">
<div class="secTitle darkgrey">
<div class="container clearfix">
<div class="row sectitleInner">
<h1 class="mainTitle darkgrey">Our Research / Learning Systems</h1>
<p></p>
</div>
</div>
</div>
<div class="secContent ">
<div class="container clearfix">
<br/>
<div class="row">
<h2>Usability</h2>
<div class="one-third column">
<img src="images/zurich-night1.jpg" alt="" width="400px"/>
</div>
<div class="two-thirds column">
bbb
</div>
</div>
<div class="row">
<h2>Performance</h2>
<div class="one-third column">
<img src="images/zurich-night1.jpg" alt="" width="400px"/>
</div>
<div class="two-thirds column">
bbb
</div>
</div>
</div>
</div>
</section>
-->
<!--BLog section-->
<section id="masterthesis" class="blog">
<!--Section title-->
<div class="secTitle darkgrey">
<!--Container-->
<div class="container clearfix">
<div class="row sectitleInner">
<h1 class="mainTitle darkgrey">Open Master Thesis / 2018</h1>
</div>
</div>
<!--End container-->
</div>
<!--End section title-->
<!--Section content-->
<div class="secContent">
<!--Container-->
<div class="container clearfix">
<!--Filter nav-->
<div class="filterNav">
<ul class="filter3" id="category">
<li class="all current"><a href="#">All</a></li>
<li class="thesisDB"><a href="#"> Data Systems</a></li>
<li class="thesisML"><a href="#"> Machine Learning</a></li>
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<li class="sixteen columns item " data-id="p25" data-type="pubDB"><div ><div><p>
<i class="icon-doc-text"></i>
T Li, J Zhong, J Liu, W Wu, C Zhang. Ease.ml: Towards Multi-tenant Resource Sharing for Machine Learning Workloads.
<strong>VLDB</strong> 2018.
</p></div></div></li>
<li class="sixteen columns item " data-id="p24" data-type="pubDB"><div ><div><p>
<i class="icon-doc-text"></i>
Yu Liu, Hantian Zhang, Luyuan Zeng, Wentao Wu, Ce Zhang. MLBench: Benchmarking Machine Learning Services Against Human Experts.
<strong>VLDB</strong> 2018.
</p></div></div></li>
<li class="sixteen columns item " data-id="p23" data-type="pubDB"><div ><div><p>
<i class="icon-doc-text"></i>
J Jiang, B Cui, C Zhang, F Fu. DimBoost: Boosting Gradient Boosting Tree to Higher Dimensions.
<strong>SIGMOD</strong> 2018.
</p></div></div></li>
<li class="sixteen columns item " data-id="p22" data-type="pubML"><div ><div><p>
<i class="icon-doc-text"></i>
Hanlin Tang, Xiangru Lian, Ming Yan, Ce Zhang, Ji Liu. D2: Decentralized Training over Decentralized Data.
<strong>ICML</strong> 2018.
</p></div></div></li>
<li class="sixteen columns item " data-id="p21" data-type="pubML"><div ><div><p>
<i class="icon-doc-text"></i>
X Lian, W Zhang, C Zhang, J Liu. Asynchronous Decentralized Parallel Stochastic Gradient Descent.
<strong>ICML</strong> 2018.
</p></div></div></li>
<li class="sixteen columns item " data-id="p20" data-type="pubML"><div ><div><p>
<i class="icon-doc-text"></i>
H Guo, K Kara, C Zhang. Layerwise Systematic Scan: Deep Boltzmann Machines and Beyond.
<strong>AISTATS</strong> 2018.
</p></div></div></li>
<li class="sixteen columns item " data-id="p19" data-type="pubNLPCV"><div ><div><p>
<i class="icon-doc-text"></i>
Jonathan Rotsztejn, Nora Hollenstein and Ce Zhang. ETH-DS3Lab at SemEval-2018 Task 7: Effectively Combining Recurrent and Convolutional Neural Networks for Relation Classification and Extraction.
<strong>SemEval</strong> 2018.
<strong><font color="red">(SemEval Task 7 Best Paper; Top Ranked System)</font></strong>
</p></div></div></li>
<li class="sixteen columns item " data-id="p18" data-type="pubDB"><div ><div><p>
<i class="icon-doc-text"></i>
D Grubic, L Tam, D Alistarh, C Zhang. Synchronous Multi-GPU Deep Learning with Low-Precision Communication: An Experimental Study.
<strong>EDBT</strong> 2018.
</p></div></div></li>
<li class="sixteen columns item " data-id="p17" data-type="pubApp"><div ><div><p>
<i class="icon-doc-text"></i>
H Huang, C Zheng, J Zeng, W Zhou, S Zhu, P Liu, I Molloy, S Chari, C Zhang, Q Guan. A Large-scale Study of Android Malware Development Phenomenon on Public Malware Submission and Scanning Platform.
<strong>IEEE Transactions on Big Data</strong> 2018.
</p></div></div></li>
<li class="sixteen columns item " data-id="p16" data-type="pubApp"><div ><div><p>
<i class="icon-doc-text"></i>
Dominic Stark, Barthelemy Launet, Kevin Schawinski, Ce Zhang, Michael Koss, M Dennis Turp, Lia F Sartori, Hantian Zhang, Yiru Chen, Anna K Weigel. PSFGAN: a generative adversarial network system for separating quasar point sources and host galaxy light.
<strong>Monthly Notices of the Royal Astronomical Society</strong> 2018.
</p></div></div></li>
<li class="sixteen columns item " data-id="p15" data-type="pubApp"><div ><div><p>
<i class="icon-doc-text"></i>
Lia F Sartori, Kevin Schawinski, Benny Trakhtenbrot, Neven Caplar, Ezequiel Treister, Michael J Koss, C Megan Urry, Ce Zhang. A model for AGN variability on multiple time-scales.
<strong>Monthly Notices of the Royal Astronomical Society</strong> 2018.
</p></div></div></li>
<li class="sixteen columns item " data-id="p14" data-type="pubApp"><div ><div><p>
<i class="icon-doc-text"></i>
Sandro Ackermann, Kevin Schawinski, Ce Zhang, Anna K. Weigel, M. Dennis Turp. Using transfer learning to detect galaxy mergers.
<strong>Monthly Notices of the Royal Astronomical Society</strong> 2018.
</p></div></div></li>
<li class="sixteen columns item " data-id="p13" data-type="pubDB"><div ><div><p>
<i class="icon-doc-text"></i>
Bojan Karlas, Ji Liu, Wentao Wu, Ce Zhang. Ease.ml in Action: Towards Multi-tenant Declarative Learning Services.
<strong>VLDB (Demo) </strong> 2018.
</p></div></div></li>
<li class="sixteen columns item " data-id="p12" data-type="pubML"><div ><div><p>
<i class="icon-doc-text"></i>
X Lian, C Zhang, H Zhang, CJ Hsieh, W Zhang, J Liu. Can Decentralized Algorithms Outperform Centralized Algorithms? A Case Study for Decentralized Parallel Stochastic Gradient Descent.
<strong>NIPS</strong> 2017.
<strong><font color="red">(Oral Presentation: 40/3240 submissions)</font></strong>.
</p></div></div></li>
<li class="sixteen columns item " data-id="p11" data-type="pubML"><div ><div><p>
<i class="icon-doc-text"></i>
H Zhang, J Li, K Kara, D Alistarh, J Liu, C Zhang. The ZipML Framework for Training Models with End-to-End Low Precision: The Cans, the Cannots, and a Little Bit of Deep Learning.
<strong>ICML</strong> 2017.
</p></div></div></li>
<li class="sixteen columns item " data-id="p10" data-type="pubDB"><div ><div><p>
<i class="icon-doc-text"></i>
L Yu, B Cui, C Zhang, Y Shao. LDA*: A Robust and Large-scale Topic Modeling System.
<strong>VLDB</strong> 2017.
</p></div></div></li>
<li class="sixteen columns item " data-id="p9" data-type="pubDB"><div ><div><p>
<i class="icon-doc-text"></i>
Z Zhang, Y Shao, B Cui, C Zhang. An experimental evaluation of simrank-based similarity search algorithms.
<strong>VLDB</strong> 2017.
</p></div></div></li>
<li class="sixteen columns item " data-id="p8" data-type="pubDB"><div ><div><p>
<i class="icon-doc-text"></i>
J Jiang, B Cui, C Zhang, L Yu. Heterogeneity-aware distributed parameter servers.
<strong>SIGMOD</strong> 2017.
</p></div></div></li>
<li class="sixteen columns item " data-id="p7" data-type="pubDB"><div ><div><p>
<i class="icon-doc-text"></i>
K M Owaida, H Zhang, G Alonso, C Zhang. Scalable Inference of Decision Tree Ensembles: Flexible Design for CPU-FPGA Platforms.
<strong>FPL</strong> 2017.
</p></div></div></li>
<li class="sixteen columns item " data-id="p6" data-type="pubDB"><div ><div><p>
<i class="icon-doc-text"></i>
K Kara, D Alistarh, G Alonso, O Mutlu, C Zhang. FPGA-accelerated Dense Linear Machine Learning: A Precision-Convergence Trade-off.
<strong>FCCM</strong> 2017.
</p></div></div></li>
<li class="sixteen columns item " data-id="p5" data-type="pubApp"><div ><div><p>
<i class="icon-doc-text"></i>
K Schawinski, C Zhang, H Zhang, L Fowler, GK Santhanam. Generative Adversarial Networks recover features in astrophysical images of galaxies beyond the deconvolution limit.
<strong>Monthly Notices of the Royal Astronomical Society</strong> 2017.
</p></div></div></li>
<li class="sixteen columns item " data-id="p4" data-type="pubDB"><div ><div><p>
<i class="icon-doc-text"></i>
J Jiang, J Jiang, B Cui, C Zhang. TencentBoost: A Gradient Boosting Tree System with Parameter Server.
<strong>ICDE (Industrial Track)</strong> 2017.
</p></div></div></li>
<li class="sixteen columns item " data-id="p3" data-type="pubDB"><div ><div><p>
<i class="icon-doc-text"></i>
X Li, B Cui, Y Chen, W Wu, C Zhang. MLog: Towards Declarative In-Database Machine Learning.
<strong>VLDB (Demo)</strong> 2017.
</p></div></div></li>
<li class="sixteen columns item " data-id="p2" data-type="pubDB"><div ><div><p>
<i class="icon-doc-text"></i>
C Zhang, W Wu, T Li. An Overreaction to the Broken Machine Learning Abstraction: The ease.ml Vision.
<strong>HILDA</strong> 2017.
</p></div></div></li>
<li class="sixteen columns item " data-id="p1" data-type="pubApp"><div ><div><p>
<i class="icon-doc-text"></i>
H Huang, C Zheng, J Zeng, W Zhou, S Zhu, P Liu, S Chari, C Zhang. Android malware development on public malware scanning platforms: A large-scale data-driven study.
<strong>IEEE Big Data</strong> 2016.
</p></div></div></li>
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