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Domain > www.yurulin.com
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DNS Resolutions
Date
IP Address
2018-05-22
208.113.152.191
(
ClassC
)
2025-01-28
173.236.140.123
(
ClassC
)
Port 80
HTTP/1.1 301 Moved PermanentlyDate: Tue, 28 Jan 2025 03:56:43 GMTServer: ApacheLocation: https://www.yurulin.com/Content-Length: 232Content-Type: text/html; charsetiso-8859-1 !DOCTYPE HTML PUBLIC -//IETF//DTD HTML 2.0//EN>html>head>title>301 Moved Permanently/title>/head>body>h1>Moved Permanently/h1>p>The document has moved a hrefhttps://www.yurulin.com/>here/a>./p>/body>/html>
Port 443
HTTP/1.1 200 OKDate: Tue, 28 Jan 2025 03:56:43 GMTServer: ApacheUpgrade: h2Connection: UpgradeLast-Modified: Fri, 30 Jun 2023 13:43:42 GMTETag: 39d3-5ff5901449f80Accept-Ranges: bytesContent-Length: 14803Cache-Control: max-age600Expires: Tue, 28 Jan 2025 04:06:43 GMTVary: Accept-Encoding,User-AgentAccess-Control-Allow-Origin: *Content-Type: text/html !DOCTYPE html>html>head> title>Yu-Ru Lin/title> meta contenttext/html; charsetutf-8 http-equivcontent-type> meta contentYu-Ru Lins homepage namedescription> meta contentyu-ru lin, yuru, social networks, community, computaional social science namekeywords> link hrefmystyle.css mediascreen relstylesheet typetext/css> link hrefhttp://fonts.googleapis.com/css?familyLato:300,400,700,900 relstylesheet typetext/css> link relicon hrefimages/icons/molecule2.png> /head>body> div idmain-wrapper> div idtop-wrapper> div idheader> h1>a href>Yu-Ru Lin/a>/h1> /div> div idnav> ul> li>a hrefindex.html>span classselected>about/span>/a>/li> li>a hrefresearch.html>span>research/span>/a>/li> li>a hrefpub.html>span>publication/span>/a>/li> li>a hrefteaching.html>span>teaching/span>/a>/li> li>a hrefservices.html>span>service/span>/a>/li> li>a hreflab.html>span>lab/span>/a>/li> li>a hrefcv_yurulin.pdf>span>cv/span>/a>/li> /ul> /div> /div> div idright-wrapper> div idcontact> p>b>Research & Academic Director/b>br> a hrefhttps://www.cyber.pitt.edu/>Institute for Cyber Law, Policy and Security (Pitt Cyber)/a> /p> p>b>Associate Professor/b>br> a hrefhttps://www.dins.pitt.edu/>Department of Informatics and Networked Systems/a> | a hrefhttp://www.ischool.pitt.edu/>School of Computing and Information/a> | a hrefhttp://www.pitt.edu/>University of Pittsburgh/a>br> Secondary appointments: a hrefhttps://www.polisci.pitt.edu/>Political Science Department/a> |br> a hrefhttps://www.cs.pitt.edu/>Computer Science Department/a> |br> a hrefhttp://isp.pitt.edu/>Intelligent Systems Program (ISP)/a>br> /p> p>Office:br> 130 North Bellefield Ave., Pittsburgh, PA 15260/p> p>Phone: 412-624-9470br> Fax: 412-624-5231/p> p>Email: yurulin (at) pitt.edu/p> /div> !-- move the announcement to Update sesson div idspecial> p>strong>» Recruiting: /strong> I am looking for highly motivated students who have strong interest in pursuing research careers in the areas of Data Science, Network Science, and Computational Social Science. See more information at a hreflab.html>PICSO LAB/a>. ! -- See more information for a hrefpostdoc_recruiting_yurulin.txt>Postdoc positions/a>, a hrefphd_recruiting_yurulin.txt>prospective PhD students/a>, and a hrefhttp://www.yurulin.com/research_opportunity_yurulin.txt>masters & undergraduate students/a>./p> -- > ! -- strong>Im currently on sabbatical at Facebook. /strong> -- > ! -- strong>Im on sabbatical until September 2020. /strong> -- > /div> --> /div> div idleft-wrapper> div idcontent classpost > div classimage left>img alt srcimages/yurulin_talkc.jpg>/div> p>I am an associate professor at the a hrefhttp://www.ischool.pitt.edu/>School of Computing and Information/a>, a hrefhttp://www.pitt.edu/>University of Pittsburgh/a>. I am also the Research & Academic Director at the Institute for Cyber Law, Policy and Security (a hrefhttps://www.cyber.pitt.edu/>Pitt Cyber/a>). !-- I am interested in studying social and political networks, as well as computational and visualization methods for understanding network data. My work has focused on large-scale community dynamics, high-dimensional (rich-context) social information summarization and representation. I have used massive social media data, anonymized cellphone records, surveys, and other mixed methods to understand the collective responses to social and political events and under exogenous shocks such as emergencies. --> I am interested in studying social and political networks as well as ways to understand network data through computation and visualization. My work has primarily centered on large-scale community dynamics, high-dimensional (rich-context) social information summarization, and representation. I have used large amounts of social media data, anonymized cellphone records, surveys, and other mixed methods to understand how groups of people react to social and political events and exogenous shocks such as natural disasters. I lead the PITT b>strong>C/strong>omputational strong>So/strong>cial Dynamics strong>Lab/strong>/b> (a hreflab.html>PICSO LAB/a>)./p> p>I am a computer scientist by training, and a computational social scientist working on questions like: how would a society be informed? how do people share information, ideas and opinions in various contexts? These questions have led me to explore analytical and computational techniques for mining heterogeneous, multi-relational, and semistructured data that can advance our understanding about structures in networked societies. I was a postdoctoral research fellow at the a hrefhttp://www.iq.harvard.edu/>Institute for Quantitative Social Science/a>, a hrefhttp://www.harvard.edu>Harvard University/a> and a hrefhttp://www.ccs.neu.edu/>College of Computer and Information Science/a>, a hrefhttp://www.neu.edu>Northeastern University/a>./p> /div> div idspecial> p>strong>» Recruiting: /strong> I am looking for highly motivated students who have strong interest in pursuing research careers in the areas of Data Science, Network Science, and Computational Social Science. See more information at a hreflab.html>PICSO LAB/a>. !-- See more information for a hrefpostdoc_recruiting_yurulin.txt>Postdoc positions/a>, a hrefphd_recruiting_yurulin.txt>prospective PhD students/a>, and a hrefhttp://www.yurulin.com/research_opportunity_yurulin.txt>masters & undergraduate students/a>./p> --> !-- strong>Im currently on sabbatical at Facebook. /strong> --> !-- strong>Im on sabbatical until September 2020. /strong> --> /div> !-- Remove the Update session since 2022-12-20 div idnews classpost> header> h3>Updates/h3> /header> ul classdivided> li> article classbox excerpt> p>span classdate>03/2021/span> Honor to receive a hrefhttps://dl.acm.org/journal/tiis/awards>the Best Paper Award for 2020 in ACM Transactions on Interactive Intelligent Systems/a> for our paper our a hrefhttp://dx.doi.org/10.1145/3385729>Policy Flow: Interpreting Policy Diffusion in Context/a>! /p> /article> /li> li> article classbox excerpt> p>span classdate>02/2021/span> Grateful to receive a hrefhttps://www.cyber.pitt.edu/pcag>Pitt Cyber Accelerator Grant/a> and a hrefhttps://www.dins.pitt.edu/news/dins-faculty-member-yuru-lin-awarded-pitt-momentum-funding>Pitt Momentum Fund/a> for our research Co-building Human and Digital Infrastructures Against Systemic Oppression. /p> /article> /li> li> article classbox excerpt> p>span classdate>10/2020/span> Paper accepted to appear in a hrefhttps://coling2020.org/>COLING 2020/a>: a hrefhttp://bit.ly/bias-inflating>Inflating Topic Relevance with Ideology: A Case Study of Political Ideology Bias in Social Topic Detection Models/a>. This work highlights the susceptibility of large, complex models to propagating the biases from input, leading to a deterioration of retrieval accuracy, and the importance of controlling for these biases. As a way to mitigate the bias, we propose to learn a text representation that is invariant to political ideology while still judging topic relevance. /p> /article> /li> li> article classbox excerpt> p>span classdate>09/2020/span> Grateful to a hrefhttps://www.sci.pitt.edu/news/associate-professor-yu-ru-lin-featured-national-geographic-article-about-covid-19>share my reflection on a new article/a> by National Geographic titled a hrefhttps://www.nationalgeographic.com/science/2020/09/why-minds-brains-cannot-make-sense-coronavirus-enormous-death-toll/>Why our minds cant make sense of COVID-19s enormous death toll./a> /p> /article> /li> li> article classbox excerpt> p>span classdate>08/2020/span> Paper accepted to appear in a hrefhttps://www.nature.com/palcomms/>Humanities and Social Sciences Communications/a>: a hrefhttps://www.nature.com/articles/s41599-020-00533-8>The dynamics of Twitter users gun narratives across major mass shooting events/a>. This article reveals how cross-cutting political talks about guns and gun policies happened on Twitter in a time of mass shootings. /p> /article> /li> li> article classbox excerpt> p>span classdate>08/2020/span> Paper accepted to appear in a hrefhttps://www.sciencedirect.com/journal/big-data-research>Big Data Research/a>: a hrefhttps://arxiv.org/pdf/2008.12372.pdf>Data-Driven Computational Social Science: A Survey/a>. This article presents a survey on data-driven computational social science, focusing on the state-of-the-art research on human dynamics from three aspects: individuals, relationships, and collectives. /p> /article> /li> li> article classbox excerpt> p>span classdate>07/2020/span> Paper accepted to appear in a hrefhttps://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber6221020>IEEE Journal of Biomedical and Health Informatics (JBHI)/a>: a hrefhttps://bit.ly/stocast-deepgen>StoCast: Stochastic Disease Forecasting with Progression Uncertainty/a>. Here we propose a deep generative learning framework to deal with the uncertainty scenarios often seen in medical and other time-evolving datasets. The code is available at our a hrefhttps://github.com/picsolab/StoCast>github page/a>. /p> /article> /li> li> article classbox excerpt> p>span classdate>06/2020/span> Paper accepted to appear in a hrefhttps://dl.acm.org/journal/tiis>ACM Transactions on Interactive Intelligent Systems (TiiS)/a>: a hrefhttps://bit.ly/policyflow>PolicyFlow: Interpreting Policy Diffusion in Context/a>. This new visualization combines text and network analyses to help understand the diffusion of laws and regulations across political boundaries in the US. /p> /article> /li> li> article classbox excerpt> p>span classdate>04/2020/span> Paper accepted to appear in a hrefhttps://www.icwsm.org/2020/index.html>ICWSM 2020/a>: a hrefhttp://bitly.com/mimicprop>MimicProp: Learning to Incorporate Lexicon Knowledge into Distributed Word Representation for Social Media Analysis/a>. /p> /article> /li> li> article classbox excerpt> p>span classdate>03/2020/span> I am co-chairing the a hrefhttps://kdd-humanitarian-mapping.herokuapp.com/>KDD Humanitarian Mapping Workshop/a>, to be held on August 24, 2020. We look forward to your participation! /p> /article> /li> li> article classbox excerpt> p>span classdate>01/2020/span> Paper accepted to appear in a hrefhttps://www2020.thewebconf.org/>The Web Conference 2020/a>: a hrefhttp://bit.ly/protest-counter-prejudice>Examining Protest as An Intervention to Reduce Online Prejudice: A Case Study of Prejudice Against Immigrants/a>. This is the first empirical study examining the effect of protests on reducing online prejudice. /p> /article> /li> li> article classbox excerpt> p>span classdate>01/2020/span> Im honored to serve on the a hrefhttps://www.cyber.pitt.edu/algorithms>Pittsburgh Task Force on Public Algorithms/a>. The task force, chaired by former U.S. Attorney David Hickton, will examine potential bias in algorithms and automated systems used by governments. Check out the recent a hrefhttps://www.cyber.pitt.edu/pittsburgh-task-force-public-algorithms-news>news media coverage/a> on this effort. /p> /article> /li> /ul> p>b>» More on/b> a hrefall-updates.html>earlier updates/a>./p> /div> --> /div> /div> /body>/html>
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