I am Jihoon Ko (고지훈), a M.S. & Ph.D. student in the Graduate School of AI at KAIST (Advisor: Prof. Kijung Shin). My current research interests are Graph Mining, Scalable Algorithm and Graph Neural Network.

M.S. & Ph.D. in Aritificial Intelligence (Sep. 2019 - )

B.S. in Computer Science (Mar. 2015 - Sep. 2019)

B.S. in Mathematics (Mar. 2015 - Sep. 2019, double major)

[C6]

Jihoon Ko, Kyuhan Lee, Kijung Shin, and Noseong Park

ASONAM 2020 [ paper | code and datasets | video | bib ]

[C5]

Yunbum Kook, Jihoon Ko, and Kijung Shin

ICDM 2020 [ paper | code and datasets | video | bib ]

[C4]

Geon Lee, Jihoon Ko, and Kijung Shin

VLDB 2020 [ paper | appendix | code and datasets | bib ]

[C3]

Jihoon Ko*, Yunbum Kook*, and Kijung Shin

KDD 2020 [ paper | code and datasets | slide | bib ]

[C2]

Kyuhan Lee*, Hyeonsoo Jo*, Jihoon Ko, Sungsu Lim, and Kijung Shin

KDD 2020 [ paper | code and datasets | slide | bib ]

[C1]

Donghwi Kim, Sooyoung Park, Jihoon Ko, Steven Y. Ko, and Sung-Ju Lee

UIST 2019 [ paper | website | video (short) | video (long) | bib ]

Advanced to ICPC World Finals 2020, Moscow, Russia

9th Place (Bronze Medal) in ACM-ICPC World Finals 2017, Rapid City, USA

3rd Place in ICPC Seoul Regional 2019

4th Place in ICPC Jakarta Regional 2018

5th Place in ICPC Seoul Regional 2018

2nd Place in ACM-ICPC Daejeon Regional 2016

14th Place in ACM-ICPC Daejeon Regional 2015

Korea Foundation for Advanced Studies (KFAS), Sep. 2020 -

KAIST, Sep. 2019

Top 3% in KAIST School of Computing, Spring 2017

Fellowship designed to support top 3% students, Mar. 2015 - Sep. 2019

Korea Student Aid Foundation, Mar. 2015 - Sep. 2019

Internship in Advanced Recommendation Technology team, Dec 2017 - May 2018

Topic: Improving article recommendation algorithm in Brunch

Teaching Assistant | Spring 2020 | Spring 2021

Teaching Assistant | Fall 2019

Teaching Assistant | Spring 2019

Teaching Assistant | Fall 2016 | Spring 2017 | Fall 2017 | Fall 2018

Jihoon Ko

About Me

Education

Korea Advanced Institute of Science and Technology (KAIST)

Publications

MONSTOR: An Inductive Approach for Estimating and Maximizing Influence over Unseen Networks

Evolution of Real-world Hypergraphs: Patterns and Models without Oracles

Hypergraph Motifs: Concepts, Algorithms, and Discoveries

Incremental Lossless Graph Summarization

SSumM: Sparse Summarization of Massive Graphs

X-Droid: A Quick and Easy Android Prototyping Framework with a Single-App Illusion

Awards & Honors

International Collegiate Programming Contest (ICPC)

Computer Science Graduate Student Program

Summa Cum Laude Graduation Honors

Dean's List

KAIST Presidential Fellowship (KPF)

The Presidential Science Scholarship

Work Experiences

Kakao Corporation

Teaching

KAIST AI506 Data Mining and Search

KAIST AI607 Graph Mining and Social Network Analysis

KAIST CS500 Design and Analysis of Algorithm

KAIST CS202 Problem Solving

Jihoon Ko