Scalable community detection from networks by computing edge betweenness on MapReduce. - Seunghyeon Moon; Jae-Gil Lee 001; Minseo Kang (BigComp, 2014)

Triangle counting in networks using a multi-level branching technique. - Jungeun Kim; Minseo Kang; Sungsu Lim; Jae-Gil Lee 001 (BigComp, 2015)

Geospatial Big Data: Challenges and Opportunities. - Jae-Gil Lee 001; Minseo Kang (Big Data Res., 2015)

An Experimental Comparison of Iterative MapReduce Frameworks. - Haejoon Lee; Minseo Kang; Sun-Bum Youn; Jae-Gil Lee 001; YongChul Kwon (CIKM, 2016)

A comparative analysis of iterative MapReduce systems. - Minseo Kang; Jae-Gil Lee 001 (EDB, 2016)

Parallel community detection on large graphs with MapReduce and GraphChi. - Seunghyeon Moon; Jae-Gil Lee 001; Minseo Kang; Minsoo Choy; Jin-Woo Lee (Data Knowl. Eng., 2016)

Efficient fall detection based on event pattern matching in image streams. - Hyun Gook Kang; Minseo Kang; Jae-Gil Lee 001 (BigComp, 2017)

An experimental analysis of limitations of MapReduce for iterative algorithms on Spark. - Minseo Kang; Jae-Gil Lee 001 (Clust. Comput., 2017)

Learning Data Structure Alchemy. - Stratos Idreos; Kostas Zoumpatianos; Subarna Chatterjee; Wilson Qin; Abdul Wasay; Brian Hentschel; Mike S. Kester; Niv Dayan; Demi Guo; Minseo Kang; Yiyou Sun (IEEE Data Eng. Bull., 2019)

Effect of garbage collection in iterative algorithms on Spark: an experimental analysis. - Minseo Kang; Jae-Gil Lee 001 (J. Supercomput., 2020)

TiCTok: Time-Series Anomaly Detection With Contrastive Tokenization. - Minseo Kang; Byunghan Lee (IEEE Access, 2023)

Interpretable Neural ODEs for Gene Regulatory Network Discovery under Perturbations. - Zaikang Lin; Sei Chang; Aaron Zweig; Minseo Kang; Elham Azizi; David A. Knowles (CoRR, 2025)

MIRRAMS: Towards Training Models Robust to Missingness Distribution Shifts. - Jihye Lee; Minseo Kang; Dongha Kim (CoRR, 2025)