I am an Ewon Assistant Professor in the Graduate School of AI and the School of Electrical Engineering (Computer Division) at KAIST.
I received my Ph.D. in Computer Science from Carnegie Mellon University, where I was advised by Prof. Christos Faloutsos and supported by the KFAS Scholarship and the Siebel Scholar Fellowship.
I received my B.S. in Computer Science and Engineering and B.A. in Economics from Seoul National University. My research interests include data mining, graph mining, and scalable machine learning.
At KAIST, I lead the Data Mining Lab.
Email: kijungs (at) kaist.ac.kr
Web: https://kijungs.github.io
Address:
Graduate School of AI, KAIST
291 Daehak-ro, Yuseong-gu
Daejeon 34141, Republic of Korea
Ph.D. in Computer Science
•Feb. 2019
M.S. in Computer Science
•Dec. 2017
B.S. in Computer Science and Engineering•Aug. 2015
B.A. in Economics (Double Major)
•Aug. 2015
Assistant Professor • Feb. 2019 - Present
Research Intern • May. 2017 - Aug. 2017 & May. 2018 - Aug. 2018
Associate Researcher • Jan. 2011 - Dec. 2013
Instructor • Fall 2020 [ link ]
Instructor • Spring 2020 [ link ]
Instructor • Spring 2019 [ link ]
Teaching Assistant • Fall 2017 [ link ]
Teaching Assistant • Spring 2017 [ link ]
[ Google Scholar | DBLP | Research Gate ]
{Taehyung Kwon, Inkyu Park}, Dongjin Lee, and Kijung Shin
ICDE 2021
[ paper | appendix | video | slides | code and datasets | bib ]
Dongjin Lee and Kijung Shin
ICDE 2021
[ paper | appendix | video | slides | code and datasets | bib ]
{Geon Lee, Minyoung Choe}, and Kijung Shin
WWW 2021
[ paper | appendix | video | slides | code and datasets | bib ]
Minseok Kim, Hwanjun Song, Doyoung Kim, Kijung Shin, and Jae-Gil Lee
AAAI 2021
[ paper | appendix | code and datasets | bib ]
Houquan Zhou, Shenghua Liu, Kyuhan Lee, Kijung Shin, Huawei Shen, and Xueqi Cheng
SDM 2021
[ paper | code and datasets | bib ]
Kijung Shin, Bryan Hooi, Jisu Kim, and Christos Faloutsos
Frontiers in Big Data
[ paper | shorter ver. [C8] | code and datasets | bib ]
Kijung Shin, Euiwoong Lee, Jinoh Oh, Mohammad Hammoud, and Christos Faloutsos
ACM TKDD
[ paper | shorter ver. [C13] | code and datasets | bib ]
Manh Tuan Do, Noseong Park, and Kijung Shin
DLG-AAAI 2021
[ paper | code and datasets | bib ]
Jihoon Ko, Kyuhan Lee, Kijung Shin, and Noseong Park
ASONAM 2020
[ paper | slides | code and datasets | bib ]
Selected for fast-track journal invitation
{Yunbum Kook, Jihoon Ko}, and Kijung Shin
KDD 2020
[ paper | video (short) | video (long) | slides | code and datasets | bib ]
{Kyuhan Lee, Hyeonsoo Jo}, Jihoon Ko, Sungsu Lim, and Kijung Shin
KDD 2020
[ paper | video (short) | video (long) | slides | code and datasets | bib ]
Manh Tuan Do, Se-eun Yoon, Bryan Hooi, and Kijung Shin
KDD 2020
[ paper | appendix | video (short) | video (long) | slides | code and datasets | bib ]
Siddharth Bhatia, Bryan Hooi, Minji Yoon, Kijung Shin, and Christos Faloutsos
AAAI 2020
[ paper | code and datasets | bib ]
Oral Presentation
Dongjin Lee, Kijung Shin, and Christos Faloutsos
The VLDB Journal
[ paper | shorter ver. [C12] | code and datasets | bib ]
Jiyuan Zhang, Jinoh Oh, Kijung Shin, Evangelos E. Papalexakis, Christos Faloutsos, and Hwanjo Yu
Knowledge and Information Systems
[ paper | shorter ver. [C7] | code | bib ]
Kijung Shin, Sejoon Oh, Jisu Kim, Bryan Hooi, and Christos Faloutsos
ACM TKDD
[ paper | shorter ver. [C16] | code and datasets | bib ]
Kijung Shin
Ph.D. Thesis, Carnegie Mellon University, 2019
[ paper | slides | code and datasets | bib ]
Kijung Shin, Jisu Kim, Bryan Hooi, and Christos Faloutsos
PKDD 2018
[ paper | appendix | longer ver. [J6] | slides | code and datasets | bib ]
Kijung Shin, Mohammad Hammoud, Euiwoong Lee, Jinoh Oh, and Christos Faloutsos
PAKDD 2018
[ paper | appendix | longer ver. [J9] | slides | code and datasets | bib ]
Kijung Shin, Bryan Hooi, and Christos Faloutsos
ACM TKDD
[ paper | shorter ver. [C5] | code and datasets | bib ]
Kijung Shin, Tina Eliassi-Rad, and Christos Faloutsos
Knowledge and Information Systems
[ paper | shorter ver. [C6] | code and datasets | bib ]
Taught in courses: MIT (6.886), Special Issue on the Selected Papers from ICDM 2016
Kijung Shin
Ph.D. Thesis Proposal, Carnegie Mellon University, 2018
[ paper | slides | code and datasets ]
Kijung Shin
ICDM 2017
[ paper | appendix |
longer ver. [J8] |
slides | code and datasets | bib ]
Hemank Lamba, Bryan Hooi, Kijung Shin, Christos Faloutsos, and Jürgen Pfeffer
PKDD 2017
[ paper | code and datasets | bib ]
Kijung Shin, Euiwoong Lee, Dhivya Eswaran, and Ariel D. Procaccia
IJCAI 2017
[ paper |
slides (short) | slides (long) | bib ]
Media: New Scientist [link]
Kijung Shin, Bryan Hooi, Jisu Kim, and Christos Faloutsos
WSDM 2017
[ paper | appendix | longer ver. [J10] | slides | code and datasets | bib ]
SIGIR Student Travel Grant
Jinoh Oh, Kijung Shin, Evangelos E. Papalexakis, Christos Faloutsos, and Hwanjo Yu
WSDM 2017
[ paper | longer ver. [J7] | code | bib ]
Bryan Hooi, Kijung Shin, Hyun Ah Song, Alex Beutel, Neil Shah, and Christos Faloutsos
ACM TKDD
[ paper | shorter ver. [C4] | code | bib ]
Special Issue on the Best Papers from KDD 2016
Kijung Shin, Lee Sael, and U Kang
IEEE TKDE
[ paper | appendix | shorter ver. [C2] | code and datasets | bib ]
Kijung Shin, Tina Eliassi-Rad, and Christos Faloutsos
NetSci 2017 (Abstract)
[ paper | longer ver. [C6] | longest ver. [J4] ]
Kijung Shin, Tina Eliassi-Rad, and Christos Faloutsos
ICDM 2016
[ paper | appendix | longer ver. [J4] | slides | code and datasets | bib ]
Selected as one of the best papers of ICDM 2016 for fast-track journal invitation
Kijung Shin, Bryan Hooi, and Christos Faloutsos
PKDD 2016
[ paper | appendix | longer ver. [5] | slides | code and datasets | bib ]
Bryan Hooi, Hyun Ah Song, Alex Beutel, Neil Shah, Kijung Shin, and Christos Faloutsos
KDD 2016
[ paper | longer ver. [J3] | code | bib ]
KDD 2016 Best Paper Award [link], CogX 2017 Award for Best Student Paper in AI [link]
Media: NSF [link], WESA [link], TechXplore [link], Stanford Scholar [link], Crain's [link]
Jinhong Jung, Kijung Shin, Lee Sael, and U Kang
ACM TODS
[ paper | shorter ver. [C3] | code and datasets | bib ]
Hemank Lamba, Vaishnavh Nagarajan, Kijung Shin, and Naji Shajarisales
WWW Companion 2016
[ paper | bib ]
Kijung Shin, Jinhong Jung, Lee Sael, and U Kang
SIGMOD 2015
[ paper | longer ver. [J1] | slides | code and datasets | bib ]
Samsung Humantech Paper Award (1st in Computer Science) [link],
Taught in courses: UMich (EECS 598), SIGMOD Student Travel Award
Kijung Shin and U Kang
ICDM 2014
[ paper | longer ver. [J2] | slides | code and datasets | bib ]
ICDM Student Travel 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.
[ web | wiki | free trial ] • Participation: Jan. 2011 - Dec. 2013