I am a second-year Ph.D. student majoring in Computer Science at Carnegie Mellon University.
My research interests include large-scale data mining, social network analysis, and big data analytics systems. I am fortunate to be advised by Prof. Christos Faloutsos and supported by
I received B.S. in Computer Science and Engineering and B.A. in Economics at Seoul National University. My undergraduate research was advised by Prof. U Kang and Prof. Byung-Gon Chun.
Ph.D. in Computer Science •Aug. 2015 - Present
B.S. in Computer Science and Engineering,
B.A. in Economics (double major) •Mar. 2008 - Aug. 2015
Research Assistant • Aug. 2015 - Present
Machine Learning and Relevance Engineer Intern • May. 2017 - Aug. 2017
Research Intern (Part-time) • Jan. 2015 - Jun. 2015
Research Intern • Jan. 2014 - Aug. 2014
Associate Researcher • Jan. 2011 - Dec. 2013
Kijung Shin, Tina Eliassi-Rad, and Christos Faloutsos
IEEE International Conference on Data Mining (ICDM) 2016, Barcelona, Spain
[paper | appendix | longer ver. [J4] | slides | www (code and datasets) | bib]
Invited to Knowledge and Information Systems
Kijung Shin, Bryan Hooi, and Christos Faloutsos
European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD) 2016, Riva del Garda, Italy
[paper | appendix | slides | www (code and datasets) | bib]
Bryan Hooi, Hyun Ah Song, Alex Beutel, Neil Shah, Kijung Shin, and Christos Faloutsos
ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) 2016, San Francisco, USA
[paper | longer ver. [J3] | code | bib] KDD Best Research Paper Award (Winner)
Kijung Shin, Jinhong Jung, Lee Sael, and U Kang
ACM SIGMOD International Conference on Management of Data (SIGMOD) 2015, Melbourne, Australia
[paper | longer ver. [J1] | slides | www (code and datasets) | bib]
Samsung Humantech Paper Award (1st in Computer Science), SIGMOD Student Travel Award
Bachelor's Thesis, Dept of Computer Science and Engineering, Seoul National University, 2015
[paper] Excellent CSE Thesis Award
NetMiner is an application software for exploratory analysis and visualization of large network data based on SNA (Social Network Analysis). This tool allows researchers to explore their network data visually and interactively, helps them to detect underlying patterns and structures of the network.
[www | wiki | free trial] • Participation: Jan. 2011 - Dec. 2013
Dolphin is a machine learning platform built on top of Apache REEF. Dolphin consists of a BSP-style machine learning framework (dolphin-bsp), a deep learning framework (dolphin-dnn), and a parameter server module (dolphin-ps).
[Github repo] • Participation: Jan. 2015 - Jun. 2015