Sehwan Moon

According to our database, Sehwan Moon authored at least 10 papers between 2022 and 2025.

Collaborative distances:

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

2025

DepressLLM: Interpretable domain-adapted language model for depression detection from real-world narratives.

Sehwan Moon, Aram Lee, Jeong Eun Kim, Hee-Ju Kang, Il-Seon Shin, Sung-Wan Kim, Jae-Min Kim, Min Jhon, Ju-Wan Kim

CoRR, August, 2025

Deep metric loss for multimodal learning.

Sehwan Moon, Hyunju Lee

Mach. Learn., January, 2025

HRV-Aware Multi-Task Learning for Non-Contact Stress Assessment from Facial Videos.

Jiwon Park, Sehwan Moon, Aram Lee, Jeong Eun Kim

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2025

MultiMed-TSS: Many-to-Many Multilingual Augmentation of Medical Speech-Text Data via Translation and Speech Synthesis.

Daehui Goh, Aram Lee, Jiwon Park, Jeong Eun Kim, Sehwan Moon

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2025

2024

Evaluating the Effectiveness of Multi-Modal Data in Classifying Depressive Symptoms: Insights from Actigraphy, HRV, and Demographic Data.

Sehwan Moon, Eunkyoung Jeon, Aram Lee, Min Jhon, Ju-Wan Kim, Jeong Eun Kim

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024

Comparative Study on the Performance of LLM-based Psychological Counseling Chatbots via Prompt Engineering Techniques.

Aram Lee, Sehwan Moon, Min Jhon, Ju-Wan Kim, Dae-Kwang Kim, Jeong Eun Kim, Kiwon Park, Eunkyoung Jeon

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024

2023

Challenge in Classification of Depressive Symptoms Using Actigraphy Data.

Sehwan Moon, Aram Lee, Ju-Wan Kim, Eunkyoung Jeon, Min Jhon, Jeong Eun Kim

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

A Comparative Study of AI Models for Depression Assessment using Voice Features.

Eunkyoung Jeon, Sehwan Moon, Seihyoung Lee, Aram Lee, Sanghyun Kim, Kiwon Park, Jeong Eun Kim

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

2022

SDGCCA: Supervised Deep Generalized Canonical Correlation Analysis for Multi-Omics Integration.

Sehwan Moon, Jeongyoung Hwang, Hyunju Lee

J. Comput. Biol., 2022

MOMA: a multi-task attention learning algorithm for multi-omics data interpretation and classification.

Sehwan Moon, Hyunju Lee

Bioinform., 2022