Junghoon Kim

Aim for the stars, and you will reach the sky

Assistant Professor

Department of Computer Science and Engineering

Department of Artificial Intelligence Graduate School

Ulsan National Institute of Science & Technology

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
Database Systems (CSE321, UNIST), 2022F, 2023F
Introduction to Data Mining (CSE304, UNIST), 2024S
Advanced Data Mining (CSE554, UNIST), 2024S
Big Data Analysis (AI514, UNIST), 2024S
Social Network Analysis (Open soon)
Advanced Data Structure (Open soon)

Supervision

I am so lucky and delightful to work with following talented students.

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)
Seongsik Hwang (Undergraduate researcher since 2024/03)
Taejun Han (Undergraduate researcher since 2024/07)

* I am committed to providing close supervision and support to each graduate student under my guidance. Given the intensive nature of this commitment, I intentionally limit the number of students I supervise concurrently. This approach ensures that I can dedicate ample time to mentor each student thoroughly and foster a productive and focused research environment within my team. Consequently, our lab maintains a selective admission process to align with these mentoring principles

Research papers (Data mining conferences List)

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

Deep Semi-supervised Anomaly Detection with Metapath-based Context Knowledge

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

arXiv

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

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