Minsik Oh

According to our database, Minsik Oh authored at least 11 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

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., October, 2023

TaDSE: Template-aware Dialogue Sentence Embeddings.

Minsik Oh, Jiwei Li, Guoyin Wang

CoRR, 2023

PK-ICR: Persona-Knowledge Interactive Context Retrieval for Grounded Dialogue.

Minsik Oh, Joosung Lee, Jiwei Li, Guoyin Wang

CoRR, 2023

PK-ICR: Persona-Knowledge Interactive Multi-Context Retrieval for Grounded Dialogue.

Minsik Oh, Joosung Lee, Jiwei Li, Guoyin Wang

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

P5: Plug-and-Play Persona Prompting for Personalized Response Selection.

Joosung Lee, Minsik Oh, Donghun Lee

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

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

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

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

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

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2020

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

2018

DeepFam: deep learning based alignment-free method for protein family modeling and prediction.

Seokjun Seo, Minsik Oh, Youngjune Park, Sun Kim

Bioinform., 2018