I'm an Assistant Professor at UNIST, specialising in algorithms and data mining. I received my Ph.D in SCSE from NTU where I was advised by Prof, Gao Cong. My research explores the impact of these elements on large-scale social data, along with their broader social implications. I focus on designing algorithms that are both "fun" and "wonderful". By "fun," I mean they are intuitive and easy to implement, while "wonderful" refers to their deep theoretical analysis and guarantees. My work aims to bridge accessibility and advanced theoretical concepts.

Teaching

• Data Structure (CSE221, UNIST), 2023F

• Introduction to Algorithms (CSE331, UNIST), 2025S 

• Introduction to Data Mining (CSE304, UNIST), 2024S, 2025S

• Database Systems (CSE321, UNIST), 2022F, 2023F

• Advanced Data Mining (CSE554, UNIST), 2024S

• Big Data Analysis (AI514, UNIST), 2024S

Supervision

I am lucky to work with such wonderful colleagues. They are exceptionally talented, making every collaboration rewarding.

Ongoing: 

• Dahee Kim (Integrated M.S./Ph.D student since 2023/08)

• Song Kim (Integrated M.S./Ph.D student since 2023/08)

• Hyewon Kim (Master student since 2024/03)

• Taejoon Han (Master student since 2025/08)

• Minseok Kim (Undergraduate researcher since 2025/08)

* I am dedicated to providing close, individualised mentorship to each graduate student, intentionally limiting my supervision load to ensure quality guidance. This selective approach fosters a focused research environment, supporting students as they grow into independent researchers 😄.

Alumni: TBD

Research papers (Data mining conferences List)

Budgeted Strong Community Search in Heterogeneous Graphs

Wentong Zhang, Feng Kaiyu*, Lanting Fang, Junghoon Kim, Kaibo Zhang, Dahee Kim, Shuliang Wang, Ye Yuan, Guoren Wang

ACM SIGMOD 2026

From Bicliques to Biflexi Cliques: A New Era of Bipartite Subgraph Discovery

{Taejoon Han, Song Kim}, Woungjae Choo, and Junghoon Kim*

ACM CIKM 2025 (short paper)

When User Engagement Meets Structural Cohesiveness: A Decay-Driven Approach to Hypergraph Cores

Hyewon Kim, Minseok Kim, Dahee Kim, and Junghoon Kim*

ACM CIKM 2025 (short paper)

Label-based Graph Augmentation with Metapath for Graph Anomaly Detection

Hwan Kim, Junghoon Kim*, Byung Suk Lee, and Sungsu Lim*

Expert Systems with Applications 2025

Beyond Trivial Edges: A Fractional Approach to Cohesive Subgraph Detection in Hypergraphs

Hyewon Kim, Woocheol Shin, Dahee Kim, Junghoon Kim*, Sungsu Lim, and Hyun Ji Jeong

Knowledge-based Systems 2025

Flexi-clique: Exploring Flexible and Sub-linear Clique Structures

Song Kim, Junghoon Kim*, Susik Yoon, and Jungeun Kim

ACM CIKM 2024 (short paper)

Experimental Analysis and Evaluation of Cohesive Subgraph Discovery

Dahee Kim, Song Kim, Jeongseon Kim, Junghoon Kim*, Kaiyu Feng, Sungsu Lim, and Jungeun Kim

Information Sciences 2024 

Exploring Cohesive Subgraphs in Hypergraphs: The (k,g)-core Approach

Dahee Kim, Junghoon Kim*, Sungsu Lim, and Hyun Ji Jeong

ACM CIKM 2023 (short paper)

Effective and Efficient Core Computation in Signed Networks

Junghoon Kim, Hyun Ji Jeong, Sungsu Lim*, and Jungeun Kim*

Information Sciences 2023

DMCS : Density Modularity based Community Search

Junghoon Kim, Luo Siqiang, Gao Cong*, and Wenyuan Yu

ACM SIGMOD 2022

LUEM : Local User Engagement Maximization in Networks

Junghoon Kim, Jungeun Kim*, Hyun Ji Jeong, and Sungsu Lim*

Knowledge-based Systems 2022 

ABC: Attributed Bipartite Co-clustering

Junghoon Kim, Kaiyu Feng*, Gao Cong*, Diwen Zhu, Wenyuan Yu, and Chunyan Miao

VLDB 2022

OCSM : Finding Overlapping Cohesive Subgraphs with Minimum Degree

Junghoon Kim, Sungsu Lim*, and Jungeun Kim*

Information Sciences 2022

(p,n)-core :  Core Decomposition in Signed Networks

Junghoon Kim and Sungsu Lim*

DASFAA 2022 (short paper)

Densely Connected User Community and Location Cluster Search in Location-Based Social Networks

Junghoon Kim, Tao Guo, Kaiyu Feng, Gao Cong*, Arijit Khan, and Farhana Choudhury

ACM SIGMOD 2020

BlackHole : Robust Community Detection Inspired by Graph Drawing

Sungsu Lim, Junghoon Kim, and Jae-Gil Lee*

IEEE ICDE 2016

Patents 

중앙 독립적 유저 기반 모빌리티 경로 추천 시스템 10-2023-0184098, 2023.12.18

그래프 합성곱 순환신경망을 통한 핵심 유저를 연속적으로 식별하는 방법 및 장치 10-2025-0127373, 2025.09.08

올리비아-리치 곡률과 모듈러리티 기반의 커뮤니티 탐지를 위한 방법 및 장치 10-2025-0034070, 2025.03.17

유저 참여도를 강화하기 위해 네트워크를 트레이닝하는 방법 및 장치 10-2025-0045472, 2025.04.08

데이터 분석을 위해 클리크 구조를 탐색하는 방법 및 장치 10-2025-0067834, 2025.05.23

하이퍼 그래프의 서브 그래프 식별 방법 및 장치 10-2025-0075876, 2025.06.10

하이퍼그래프에서 응집력 있는 서브그래프 검출을 위한 데이터 분석 시스템 및 방법 10-2025-0107601, 2025.08.05

Professional Activities

Program Committee members :

2023: TKDE, ICDE, Bigdata

2024: TKDE, WWW, Bigdata

2025: VLDBJ, ECML-PKDD, ICDE, WSDM, WWW, CIKM (long paper and applied research tracks), ICDM, ADC, Bigdata

2026: VLDB, WSDM (long and short paper tracks), WWW (short paper track)

Senior Program Committee members :

2025: CIKM (short paper track)

Contact Information

Junghoon Kim

Computer Science and Engineering

Ulsan National Institute of Science & Technology

Ulsan, 44919

(+82)-52-217-2256

junghoon.kim AT unist.ac.kr