JunYeop Cha
Research interests: Multimodal deep learning, NLP, LLM, Applied AI
My research interest lie in natural language processing and multimodal deep learning using user data. My main focus is on developing AI to derive insights from data and solve social proplems.
Feel free to contact me at jycha95@g.ssku.edu 🙋
EDUCATION
2014.03 ~ 2020.08 : University of Seoul, South Korea (B.S. in Mathematics)
2021.03 ~ Present : Sungkyunkwan University, South Korea (M.Sc. /Ph.D. in Applied Artificial Intelligence)
PUBLICATION
[Online first/in press/accepted]
Kim, E., Cha, J., Jeong, D., & Park, E.* (accepted). Artwork Recommendations based on User Preferences: Integrating Clustering Analysis with Visual Features. ACM Journal on Computing and Cultural Heritage (A&HCI).
Ko, S., Cha, J., & Park, E.* (accepted). A machine learning approach to predict timely ferry services using integrated meteorological datasets. Proceedings of the Institution of Civil Engineers–Transport (SCIE, JCR 2021 IF=1.121).
[2023]
Kim, S., An, C., Cha, J., Kim, D., & Park, E. (2023). D-ViSA: A Dataset for Detecting Visual Sentiment from Art Images. In Proceedings of the IEEE/CVF International Conference on Computer Vision Workshop (ICCV '23 Workshop, pp. 3051-3059), IEEE.
Lee, J., Cha, J. & Park, E.* (2023). Data-driven Approaches into Political Orientation and News Outlet Discrimination: The Case of News Articles in South Korea. Telematics and Informatics, 85, 102066 (SSCI, JCR 2021 IF=9.140, Q1 in Information Science & Library Science).
Kim, S., Cha, J., Kim, D., & Park, E.* (2023). Understanding mental health issues in different subdomains in social networking services: computational analysis of text-based reddit posts. Journal of Medical Internet Research, 25, e49074 (SCIE, JCR 2022 IF=7.4, Q1 in Health Care Sciences & Services).
[2022]
Cha, J., Kim, S., & Park, E.* (2022). A lexicon-based approach to examine depression detection in social media: The case of Twitter and university community. Humanities & Social Sciences Communications, 9(325), 1-10 (SSCI, A&HCI, JCR 2021 IF=2.731, Q2 in Social Sciences, Interdisciplinary).