[J3] A Survey on Centrality and Importance Measures in Hypergraphs: Categorization and Empirical Insights.
Jaewan Chun*, Fanchen Bu*, Yeongho Kim, Atsushi Miauchi, Francesco Bonchi, and Kijung Shin
ACM Computing Surveys · 2026
[P1] Automating and Scaling Behavioral Scientific Research on AI Agents.
Soo Yong Lee*, Jongha Lee*, Jaewan Chun, Hyunjin Hwang, Fanchen Bu, Ziv Ben-Zion, Taekwan Kim, Denny Borsboom, Jaemin Yoo, and Kijung Shin
arXiv 2608.10030 · 2026
[J2] From binary to general attributes: attributed hypergraph generation with realistic interplay between structure and attributes.
Jaewan Chun, Seokbum Yoon, Minyoung Choe, Geon Lee, and Kijung Shin
Knowledge and Information Systems · 2026
Invited as one of the best-ranked papers of ICDM 2025
[C1] Attributed Hypergraph Generation with Realistic Interplay Between Structure and Attributes.
Jaewan Chun*, Seokbum Yoon*, Minyoung Choe, Geon Lee, and Kijung Shin
IEEE International Conference on Data Mining (ICDM) · 2025 (Full paper acceptance rate = 13.5%)
IEEE ICDM Best Paper Award
Selected as one of the best-ranked papers of ICDM 2025 for fast-track journal invitation [J2]
Invited to the Sister Conferences’ Best Paper Track of IJCAI 2026 with an extended abstract
[J1] Random Walk with Restart on Hypergraphs: Fast Computation and an Application to Anomaly Detection.
Jaewan Chun, Geon Lee, Kijung Shin†, and Jinhong Jung†
Data Mining and Knowledge Discovery · 2023 (ECML PKDD 2024 Journal Track)