Hyolim Jeon

According to our database, Hyolim Jeon authored at least 7 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Multimodal learning for early prediction of COVID-19 outbreaks.

Jiwon Kim, Hyolim Jeon, Minhan Cho, Jiwon Kang, Shibo He, Jinyoung Han

Inf. Process. Manag., 2026

SynSym: A Synthetic Data Generation Framework for Psychiatric Symptom Identification.

Migyeong Kang, Jihyun Kim, Hyolim Jeon, Sunwoo Hwang, Jihyun An, Yonghoon Kim, Haewoon Kwak, Jisun An, Jinyoung Han

Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.1, 2026

2024

A Dual-Prompting for Interpretable Mental Health Language Models.

Hyolim Jeon, Dongje Yoo, Daeun Lee, Sejung Son, Seungbae Kim, Jinyoung Han

CoRR, 2024

Detecting Bipolar Disorder from Misdiagnosed Major Depressive Disorder with Mood-Aware Multi-Task Learning.

Daeun Lee, Hyolim Jeon, Sejung Son, Chaewon Park, Ji Hyun An, Seungbae Kim, Jinyoung Han

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

CURE: Context- and Uncertainty-Aware Mental Disorder Detection.

Migyeong Kang, Goun Choi, Hyolim Jeon, Ji Hyun An, Daejin Choi, Jinyoung Han

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

2023

Towards Suicide Prevention from Bipolar Disorder with Temporal Symptom-Aware Multitask Learning.

Daeun Lee, Sejung Son, Hyolim Jeon, Seungbae Kim, Jinyoung Han

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Learning Co-Speech Gesture for Multimodal Aphasia Type Detection.

Daeun Lee, Sejung Son, Hyolim Jeon, Seungbae Kim, Jinyoung Han

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