I am an Associate Professor in the Kim Jaechul 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 algorithms, and network science.
At KAIST, I lead the Data Mining Lab.
Email: kijungs (at) kaist.ac.kr
Web: https://kijungs.github.io
Address:
Kim Jaechul Graduate School of AI, KAIST
85, Hoegi-ro, Dongdaemun-gu
Seoul, 02455, 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
Associate Professor • Mar. 2023 - Present
Ewon Endowed Assistant Professor • Feb. 2019 - Feb. 2023
Research Intern • May. 2017 - Aug. 2017 & May. 2018 - Aug. 2018
Associate Researcher • Jan. 2011 - Dec. 2013
Instructor • [ Spring 2023 | Spring 2022 | Spring 2021 | Spring 2020 ]
Instructor • [ Fall 2020 ]
Instructor • [ Spring 2019 ]
Teaching Assistant • [ Fall 2017 ]
Teaching Assistant • [ Spring 2017 ]
[ Google Scholar | DBLP | Research Gate ]
Geon Lee, Jaemin Yoo, and Kijung Shin KDD 2023 & WWW 2023 (Tutorial) [ slides ]
Sunwoo Kim, Fanchen Bu, Minyoung Choe, Jaemin Yoo, and Kijung Shin
KDD 2023
[ paper | appendix | video | slides | code and datasets | bib ]
Fanchen Bu and Kijung Shin
KDD 2023
[ paper | appendix | video | slides | code and datasets | bib ]
Minyoung Choe, Sunwoo Kim, Jaemin Yoo, and Kijung Shin
KDD 2023
[ paper | appendix | video | slides | code and datasets | bib ]
Soo Yong Lee, Fanchen Bu, Jaemin Yoo, and Kijung Shin
ICML 2023
[ paper | video | slides | code and datasets | bib ]
Dongjin Lee and Kijung Shin
AAAI 2023 [ paper | video | slides | code and datasets | bib ]
Junmo Cho*, Seungjae Han*, Eun-Seo Cho, Kijung Shin, and Young-Gyu Yoon
WACV 2023 [ paper | code and dataset | bib ]
Fanchen Bu, Shinhwan Kang, and Kijung Shin
Data Mining and Knowledge Discovery
[ paper | slides | code and datasets | bib ]
Geon Lee and Kijung Shin
Knowledge and Information Systems
[ paper | shorter ver. [C35] | code and datasets | bib ]
Seok-Geun Oh , Chanil Park, Seok-Woo Son, Jihoon Ko, Kijung Shin, Sunyoung Kim, and Junsang Park
Asia-Pacific Journal of Atmospheric Sciences
[ paper | bib ]
Manh Tuan Do, Noseng Park, and Kijung Shin
Neural Processing Letters
[ paper | code and datasets | bib ]
A shorter version appeared at DLG-AAAI 2021
Sunwoo Kim, Minyoung Choe, Jaemin Yoo, and Kijung Shin
ICDM 2022
[ paper | longer ver. | slides | code and datasets | bib ]
Geon Lee, Chanyoung Park, and Kijung Shin
ICDM 2022
[ paper | longer ver. | slides | code and datasets | bib ]
Geon Lee, Minyoung Choe, and Kijung Shin
IJCAI 2022
[ paper | appendix | video | slides | code and datasets | bib ]
Hyunjin Hwang*, Seungwoo Lee*, Chanyoung Park, and Kijung Shin
SIGIR 2022 (Short Paper)
[ paper | video | slides | code and datasets | bib ]
Shinhwan Kang, Kyuhan Lee, and Kijung Shin
PAKDD 2022
[ paper | appendix | slides | code and datasets | bib ]
Hyunsik Yoo*, Yeon-Chang Lee*, Kijung Shin, and Sang-Wook Kim
WSDM 2022
[ paper | slides | code and datasets | bib ]
Jihoon Ko*, Yunbum Kook*, and Kijung Shin
Knowledge and Information Systems
[ paper | shorter ver. [C27] | code and datasets | bib ]
Jihoon Ko*, Kyuhan Lee*, Hyunjin Hwang*, Seok-Geun Oh, Seok-Woo Son, and Kijung Shin
Computers and Geosciences
[ paper | code | bib ]
Geon Lee, Se-eun Yoon, and Kijung Shin
PLOS ONE
[ paper | appendix | slides | code and datasets | bib ]
A shorter version appeared at epiDAMIK-KDD 2021 (long oral)
Siddharth Bhatia, Rui Liu, Bryan Hooi, Minji Yoon, Kijung Shin, and Christos Faloutsos
ACM TKDD
[ paper | shorter ver. [C20] | code and datasets | bib ]
Geon Lee and Kijung Shin
ICDM 2021
[ paper | appendix | longer ver. [J16] | video | slides | code and datasets | bib ]
Selected as one of the best-ranked papers of ICDM 2021 for fast-track journal invitation
Seungjae Han, Eun-Seo Cho, Inkyu Park, Kijung Shin, and Young-Gyu Yoon
MICCAI 2021
[ paper | 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, Euiwoong Lee, Jinoh Oh, Mohammad Hammoud, and Christos Faloutsos
ACM TKDD
[ paper | shorter ver. [C13] | 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
ICDM 2020
[ paper | longer ver. [J13] | video | slides | code and datasets | bib ]
Selected as one of the best-ranked papers of ICDM 2020 for fast-track journal invitation
Jihoon Ko*, Yunbum Kook*, 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 | longer ver. [J10] | 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, Mahdi Shafiei, Myunghwan Kim, Aastha Jain, and Hema Raghavan
WWW 2018 (Industry Track)
[ paper | slides | 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)
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. | slides | code and datasets | bib ]
Long Oral Presentation
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 ]
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
ICDM 2016
[ paper | appendix | longer ver. [J4] | slides | code and datasets | bib ]
Selected as one of the best-ranked 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 ]
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)
Kijung Shin and U Kang
ICDM 2014
[ paper | longer ver. [J2] | slides | code and datasets | bib ]
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
Associate Editor • Aug. 2022 - Present
Program Committee • [ 2023 | 2022 ]
Program Committee • [ 2023 | 2022 ]
Program Committee • [ 2023 ]
Program Committee • [ 2023 ]