Download Jaewon Yang - Stanford University

Jaewon Yang
Education
2007–2014 Ph.D. in Electrical Engineering, Stanford University, Stanford, CA.
Advisor: Prof. Jure Leskovec
2011–2012 M.S. in Statistics, Stanford University, Stanford, CA.
2000–2007 B.S. in Electrical Engineering, Seoul National University, South Korea.
Research Interests
Network community detection, Recommender systems, Social media, Temporal
pattern mining
Honors and Awards
2012
2010
2007–2012
1999
Selected for best papers, ICDM ’12
Best application paper award, ICDM ’10
Samsung Scholarship for doctoral students
Gold prize (ranked 2nd in nation) in the Korean science olympiad
Professional Experience
06–09/2012 Summer intern, LinkedIn, Mountain View.
Worked with Bee-Chung Chen and Deepak Agarwal on estimating the reputation of LinkedIn
users. Our work has been published in KDD ’12.
Publications
J. Yang, J. J. McAuley, J. Leskovec, P. LePendu, and N. Shah. Finding progression
stages in time-evolving event sequences. In ACM International Conference on World
Wide Web (WWW), 2014.
J. Yang, J. J. McAuley, and J. Leskovec. Detecting cohesive and 2-mode communities
in directed and undirected networks. In ACM International Conference on Web
Search and Data Mining (WSDM), 2014.
J. Yang, J. J. McAuley, and J. Leskovec. Community detection in networks with
node attributes. In International Conference on Data Mining (ICDM), 2013.
D. Shahaf, J. Yang, C.Suen, J.Jacobs, H.Wang, and J. Leskovec. Information
cartography: Creating zoomable, large-scale maps of information. In SIGKDD
International Conference on Knowledge Discovery and Data Mining (KDD), 2013.
J. Yang, B-C. Chen, and D. Agarwal.
B [email protected] •
Estimating sharer reputation via social
Í i.stanford.edu/~crucis
data calibration. In SIGKDD International Conference on Knowledge Discovery
and Data Mining (KDD), 2013.
J. Yang and J. Leskovec. Overlapping community detection at scale: A nonnegative
matrix factorization approach. In ACM International Conference on Web Search
and Data Mining (WSDM), 2013.
J. Yang and J. Leskovec. Structure and overlaps of communities in networks. In
ACM Transactions on Intelligent Systems and Technology (ACM TIST), 2013.
J. Yang and J. Leskovec. Defining and evaluating network communities based on
ground-truth. In International Conference on Data Mining (ICDM), 2012.
J. Yang and J. Leskovec. Community-affiliation graph model for overlapping
community detection. In International Conference on Data Mining (ICDM), 2012.
J. Yang and J. Leskovec. Patterns of temporal variation in online media. In ACM
International Conference on Web Search and Data Mining (WSDM), 2011.
J. Yang and J. Leskovec. Modeling information diffusion in implicit networks. In
International Conference on Data Mining (ICDM), 2010. Best Application Paper
Award.
J. Yang and J. Leskovec. Network deconvolution reveals core-periphery organization
of communities. Submitted.
Press Coverage
The Wall Street Journal on Decoding Our Chatter
The New York Times on Why Some Twitter Posts Catch On, and Some Don’t
MIT Tech. Review on Will You Tweet This?
Computer Skills
C++, JAVA, Pig, Python, R, MATLAB
Scientific Community Activities
Program CIKM ’13
Committee
Reviewer Social Networks, ACM TWeb, IEEE TKDE, IEEE MM, Software: Practice and
Experience, NEUCOM
B [email protected] •
Í i.stanford.edu/~crucis