I'm an Assistant Professor at UNIST, specialising in algorithms and data mining. I received my Ph.D in School of Computer Science and Engineering from Nanyang Technological University where I was advised by Prof, Gao Cong. I earned my M.S. degree from KAIST and my B.S. degree from the University of Seoul. My research explores the impact of these elements on large-scale social data, along with their broader social implications. I focus on designing methods that are both "fun" and "wonderful". By "fun," it means that they are intuitive and easy to implement, while "wonderful" refers to their beautiful theoretical analysis and guarantees. My work aims to bridge accessibility and advanced theoretical concepts.

Teaching (Undergraudate courses)

• 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, 2026S 

Teaching (Graduate courses)

• Advanced Data Mining (CSE554, UNIST), 2024S, 2026F

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

• AI Toolkit for Industry (NOVA50301, 2026S)

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)

• Taejoon Han (Master student since 2025/08)

• Minseok Kim (Master student since 2026/03)

• Seungchan Choi (Undergraduate researcher since 2026/03)

* 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: 

• Hyewon Kim (Master student since 2024/02) => GraphAI

Research papers (Data mining conferences CCF-deadline)

Uncovering High-Order Cohesive Structures: Efficient (k,g)-Core Computation and Decomposition in Hypergraphs

Dahee Kim, Hyewon Kim, Song Kim, Minseok Kim, Junghoon Kim*, Yeon-Chang Lee, and Sungsu Lim

Knowledge-based Systems 2026

LMSC: Local Sketch Modularity Optimisation for Size-Constrained Community Search in Networks

Dahee Kim, Taejoon Han, Feng Kaiyu, Junghoon Kim*, and Susik Yoon

ACM SIGMOD 2026

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

Efficient Locality-based Indexing for Cohesive Subgraphs Discovery in Hypergraph

Song Kim, Dahee Kim, Taejoon Han, Junghoon Kim*, Hyun  Ji Jeong, and Jungeun Kim

EDBT 2026

Toward Reasoning on the Boundary: A Mixup-based Approach for Graph Anomaly Detection

Hwan Kim, Junghoon Kim, and Sungsu Lim*

AAAI 2026 (GCLR workshop)

Label-based Graph Augmentation with Metapath for Graph Anomaly Detection

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

Expert Systems with Applications 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)

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

LUEM : Local User Engagement Maximization in Networks

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

Knowledge-based Systems 2022 

DMCS : Density Modularity based Community Search

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

ACM SIGMOD 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, 김정훈

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

유저 참여도를 강화하기 위해 네트워크를 트레이닝하는 방법 및 장치 10-2025-0045472, 2025.04.08, 김정훈, 김혜원, 김다희, 김송, 윤수식

데이터 분석을 위해 클리크 구조를 탐색하는 방법 및 장치 10-2025-0067834, 2025.05.23, 김정훈, 김송, 김정은, 윤수식

하이퍼 그래프의 서브 그래프 식별 방법 및 장치 10-2025-0075876, 2025.06.10, 김정훈, 김다희, 임성수, 정현지

하이퍼그래프에서 응집력 있는 서브그래프 검출을 위한 데이터 분석 시스템 및 방법 10-2025-0107601, 2025.08.05, 김정훈, 김혜원, 신우철, 김다희, 정현지

그래프 합성곱 순환신경망을 통한 핵심 유저를 연속적으로 식별하는 방법 및 장치 10-2025-0127373, 2025.09.08, 김정훈, 윤수식, 이윤환, 임현웅, 김혜원

멀티 오더 그래프에서 응집 서브그래프 식별을 위한 장치 및 방법 10-2025-0149890, 2025.10.16, 김정훈, 김민석, 김혜원, 김송

이분 네트워크에서 응집력 있는 부분 그래프를 탐색하는 방법 및 장치 10-2025-0187191, 2025.12.01, 김정훈, 한태준, 김송, 추웅재

하이퍼엣지 크기 감쇠 기반 (K S)-코어 모델 및 효율적 탐색 알고리즘 10-2025-0193293, 2025.12.08, 김정훈, 김혜원, 김민석, 김다희 

구조 및 속성 결합 모듈러리티 최대화를 통한 대규모 속성 네트워크의 커뮤니티 탐지 방법, 10-2025-0205480, 2025.12.19, 김정훈, 김덕현, 한태준

가중 구조 유사도에 기반한 네트워크 클러스터링 시스템 및 방법 10-2026-0004498, 2026.01.09, 김정훈, 한태준, 최승찬, 김다희, 김혜원

하이브리드 방식에 기초한 대규모 네트워크 커뮤니티 탐지 방법 및 이를 지원하는 시스템 10-2026-0009036, 2026.01.16, 김정훈, 손형민, 김다희

엔트로피 가중 적응형 라벨 전파 기반의 공간 근접 커뮤니티 탐지 시스템 및 방법 10-2026-0027653,  2026.02.11, 김정훈, 오도열, 김혜원, 김다희

접두사 트리에 기초하여 하이퍼그래프에서 코어를 식별하기 위한 방법 및 전자 장치 10-2026-0048905,  2026.03.18, 김정훈, 김민석, 김다희, 손형민

QROM에 기초하여 대규모 거래 데이터에 대한 단일 후보의 빈발성을 판정하기 위한 방법 및 전자 장치 10-2026-0050739, 2026.03.20, 김정훈, 김송, 김덕현, 추웅재, 김민석

Professional Activities

Program Committee members :

2023: TKDE, ICDE, Bigdata

2024: TKDE, WWW, Bigdata

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

2026: VLDB, WSDM, WWW, Bigcomp, DASFAA, VLDB (demo), Bigdata, CIKM (applied science), ICDM, TKDE

2027: VLDB, ICDE

Senior Program Committee members :

2025: CIKM (short paper track)

2026: CIKM (regular paper, short paper tracks)

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