DeepFam: deep learning based alignment-free method for protein family modeling and prediction. - Seokjun Seo; Minsik Oh; Youngjune Park; Sun Kim (Bioinform., 2018)

Per-Operation Reusability Based Allocation and Migration Policy for Hybrid Cache. - Minsik Oh; Kwangsu Kim; Duheon Choi; Hyukjun Lee; Eui-Young Chung (IEEE Trans. Computers, 2020)

IDEA: Integrating Divisive and Ensemble-Agglomerate hierarchical clustering framework for arbitrary shape data. - Hongryul Ahn; Inuk Jung; Heejoon Chae; Minsik Oh; Inyoung Kim; Sun Kim (IEEE BigData, 2021)

Machine learning-based analysis of multi-omics data on the cloud for investigating gene regulations. - Minsik Oh; Sungjoon Park; Sun Kim; Heejoon Chae (Briefings Bioinform., 2021)

Erratum to: Machine learning-based analysis of multi-omics data on the cloud for investigating gene regulations. - Minsik Oh; Sungjoon Park; Sun Kim; Heejoon Chae (Briefings Bioinform., 2021)

mirTime: identifying condition-specific targets of microRNA in time-series transcript data using Gaussian process model and spherical vector clustering. - Hyejin Kang; Hongryul Ahn; Kyuri Jo; Minsik Oh; Sun Kim (Bioinform., 2021)

P5: Plug-and-Play Persona Prompting for Personalized Response Selection. - Joosung Lee; Minsik Oh; Donghun Lee (EMNLP, 2023)

PK-ICR: Persona-Knowledge Interactive Multi-Context Retrieval for Grounded Dialogue. - Minsik Oh; Joosung Lee; Jiwei Li; Guoyin Wang (EMNLP, 2023)

PK-ICR: Persona-Knowledge Interactive Context Retrieval for Grounded Dialogue. - Minsik Oh; Joosung Lee; Jiwei Li 001; Guoyin Wang 002 (CoRR, 2023)

TaDSE: Template-aware Dialogue Sentence Embeddings. - Minsik Oh; Jiwei Li 001; Guoyin Wang 002 (CoRR, 2023)

GOAT: Gene-level biomarker discovery from multi-Omics data using graph ATtention neural network for eosinophilic asthma subtype. - Dabin Jeong; Bonil Koo; Minsik Oh; Tae-Bum Kim; Sun Kim (Bioinform., 2023)