<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.0 Transitional//EN"> <html xmlns:o = "urn:schemas-microsoft-com:office:office"><head><title>Yizhou Sun's Homepage</title> <meta name="GENERATOR" content="MSHTML 8.00.6001.18876"> <meta content="text/html; charset=unicode" http-equiv="Content-Type"> <style type="text/css"> html{ overflow: -moz-scrollbars-vertical; overflow-y: scroll;} </style> </head> <body bgcolor="#ffffff"> <table border="0" cellspacing="0" cellpadding="3" width="61.8%" align="center"> <tbody> <tr> <td> <table border="0" cellspacing="0" cellpadding="0" align="left" title="Title" id="title"> <tr> <td> <h1 align="left">Yizhou Sun </h1> </td> </tr> </table> </td> </tr> <tr> <td> <table border="0" cellspacing="0" cellpadding="3" align="left" title="Navigation" id="navigation"> <tr> <td>[<a href="index.html" >Home</a>]</td> <td>[<a href="Research.htm" >Research</a>]</td> <td>[<a href="Publications.htm" >Publications</a>]</td> <td>[<a href="Tutorials.htm" >Tutorials</a>]</td> <td>[<a href="Teaching.htm" >Teaching</a>]</td> <td>[<a href="Services.html">Services</a>]</td> </tr> </table> </td> </tr> <tr> <td> <hr> <h2 align="left"><font size="3"><font size="5">Research</font> </font></h2> <p> <p style="FONT-FAMILY: times new roman,serif"><font face="CMR10"><font face="CMR10"> <p align="left"><font >My principal research interest is in </font><font face="CMTI10"><font face="CMTI10"><font >large-scale information and social networks</font></font></font><font face="CMR10"><font face=CMR10><font >, and more generally in data mining, database systems, statistics, machine learning, information retrieval, and network science, with a focus <font face="CMR10"><font face=CMR10>on modeling novel problems and proposing scalable algorithms for large-scale, real-world applications, including but not limited to: social computing, social media, business intelligence, medical and health informatics, and cyber-physical&nbsp;systems.</font></font></font> </font></font></p> <p align="left">In particular, I have extended conventional studies of <em>homogeneous</em> networks to modeling typed nodes and links in <em>semi-structured heterogeneous information networks</em> and proposed new models and algorithms that capture the rich semantics of multi-typed objects and links in such networks and solve real-world problems. My research has been focused on new methodologies of mining such networks and exploring the power of typed objects and links. </p> <p align="left">My recent research focuses on <em>mining heterogeneous information networks with social factors</em>, i.e., networks with human involved. We are exploring data from different domains, such as online social networks, online discussion boards, digital government, and game data.</p> <h2 align="left">Selected Projects</h2> <ul> <li>Latent Social Characteristics Learning <ul> <li><span itemprop="name"><a href="papers/KDD14_Voting_Oct.pdf">Topic-factorized ideal point estimation model</a></span><a href="papers/KDD14_Voting_Oct.pdf"> for voting network</a> (KDD'14) [<a href="http://dm.ccs.neu.edu/projects/votingnet/ideal_point/">demo</a>]</li> <li><a href="papers/SBP15_Collins_Camera.pdf">Satisfication with life prediction from Facebook </a>(SBP'15)</li> </ul> </ul> <ul> <li> <div align="left"> <div align="left">Recommendation via Information Networks</div> </div> <ul> <li><a href="http://www.cs.uiuc.edu/homes/hanj/pdf/wsdm14_xyu.pdf">Recommendation in heterogenenous information networks</a> (WSDM'14)</li> <li><span itemprop="name"><a href="http://www.cs.uml.edu/~pxia/papers/ASONAM15.pdf">Reciprocal Recommendation System for Online Dating</a></span> (ASONAM'15)</li> <li><a href="http://dl.acm.org/citation.cfm?id=2661965">Citation recommendation</a> (CIKM'14)</li> </ul> </li> </ul> <ul> <li>Information Diffusion <ul> <li><a href="papers/CIKM14_diffusion.pdf">Relation-aware diffusion</a> (CIKM'14)</li> <li><a href="papers/AAAI15_roleaware.pdf">Social role-aware diffusion</a> (AAAI'15)</li> </ul> </li> </ul> <ul> <li>Entity Matching <ul> <li><a href="papers/kdd15_entity.pdf">Entity matching across heterogeneous sources</a> (KDD'15)</li> <li><a href="http://www.aclweb.org/anthology/P13-1107">Morph detection</a> (ACL'13)</li> </ul> </li> </ul> <ul> <li> <div align="left"> <div align="left"><font >Co-Evolution Detection&nbsp;and Link/Relationship Prediction in Dynamic&nbsp;Heterogeneous Information Networks</font></div> <ul> <li> <div align="left"><a href="papers/TKDE13_EvoNetClus.pdf">EvoNetClus</a> (MLG'10, TKDE'14), <a href="papers/asonam11_pathpredict.pdf">PathPredict</a> (ASONAM'11), <a href="papers/wsdm12_when.pdf"> PathPredict_When</a> (WSDM'12)</div></li> </ul> </div> </li> </ul> <ul> <li> <div align="left"><font >Meta Path-based Similarity Search and Clustering in Heterogeneous Information Networks</font></div> <ul> <li> <div align="left"><a href="papers/vldb11_topKSim.pdf">PathSim</a> (VLDB'11), <a href="papers/kdd12_pathselclus.pdf"> PathSelClus</a> (KDD'12)</div></li></ul></li></ul> <ul> <li> <div align="left"><font >Using Information Networks to Enhance the Quality of Text/Attribute-Based Clustering</font></div> <ul> <li> <div align="left"><a href="papers/icdm09_iTopicModel.pdf">iTopicModel</a> (ICDM'09), <a href="papers/vldb12_genclus.pdf">GenClus</a> (VLDB'12)</div></li></ul></li></ul> <ul> <li> <div align="left"><font >Ranking-based Clustering in Heterogeneous Information Networks</font></div> <ul> <li> <div align="left"><a href="papers/edbt09_rankclus.pdf">RankClus</a> (EDBT'09), <a href="papers/kdd09_netclus.pdf">NetClus</a> (KDD'09), iNextCube (VLDB'09 Demo, <a href="http://inextcube.cs.uiuc.edu/NetClus/">Demo Link</a>), <a href="papers/SDM15_GPNRankClus.pdf">GPNRankClus</a> (SDM'15)</div> </li> </ul> </li> </ul></td></tr> <tr> <td>&nbsp;</td> </tr> </tbody> </table></h1></body></html>