FashionQ: An Interactive Tool for Analyzing Fashion Style Trend with Quantitative Criteria. - Youngseung Jeon; Seungwan Jin; Bogoan Kim; Kyungsik Han (CHI Extended Abstracts, 2020)

FashionQ: An AI-Driven Creativity Support Tool for Facilitating Ideation in Fashion Design. - Youngseung Jeon; Seungwan Jin; Patrick C. Shih; Kyungsik Han (CHI, 2021)

FANCY: Human-centered, Deep Learning-based Framework for Fashion Style Analysis. - Youngseung Jeon; Seungwan Jin; Kyungsik Han (WWW, 2021)

AI-Augmented Art Psychotherapy through a Hierarchical Co-Attention Mechanism. - Seungwan Jin; Hoyoung Choi; Kyungsik Han (CIKM, 2022)

Adversarial Normalization: I Can visualize Everything (ICE). - Hoyoung Choi; Seungwan Jin; Kyungsik Han (CVPR, 2023)

A Contactless and Non-Intrusive System for Driver's Stress Detection. - Muhammad Salman; Hyunkyu Jang; Youngtae Noh; Seungwan Jin; Dayoung Jeong; Hoyoung Choi; Kyungsik Han; Hyangmi Kim (UbiComp/ISWC Adjunct, 2023)

Label-aware Hard Negative Sampling Strategies with Momentum Contrastive Learning for Implicit Hate Speech Detection. - Jaehoon Kim; Seungwan Jin; Sohyun Park; Someen Park; Kyungsik Han (ACL (Findings), 2024)

Integration of Global and Local Representations for Fine-Grained Cross-Modal Alignment. - Seungwan Jin; Hoyoung Choi; Taehyung Noh; Kyungsik Han (ECCV (83), 2024)

PREDICT: Multi-Agent-based Debate Simulation for Generalized Hate Speech Detection. - Someen Park; Jaehoon Kim; Seungwan Jin; Sohyun Park; Kyungsik Han (EMNLP, 2024)

An Empirical Study on Social Anxiety in a Virtual Environment through Mediating Variables and Multiple Sensor Data. - Eunji Kim; Seungwan Jin; Kyungsik Han (Proc. ACM Hum. Comput. Interact., 2024)

"I Don't Know Why I Should Use This App": Holistic Analysis on User Engagement Challenges in Mobile Mental Health. - Seungwan Jin; Bogoan Kim; Kyungsik Han (CHI, 2025)

PADO: Personality-induced multi-Agents for Detecting OCEAN in human-generated texts. - Haein Yeo; Taehyeong Noh; Seungwan Jin; Kyungsik Han (COLING, 2025)

ICEv2: Interpretability, Comprehensiveness, and Explainability in Vision Transformer. - Hoyoung Choi; Seungwan Jin; Kyungsik Han (Int. J. Comput. Vis., 2025)