| 2026 | AAAI | TRIPLE: Theory-Driven Integration of Planned and Habitual Behaviors for LLM-based Personalization. | Taehyung Noh, Seungwan Jin, Haein Yeo, Kyungsik Han |
| 2026 | CHI | "Can LLMs Persuade Humans with Deception?": From a Deceptive Strategy Taxonomy to a Large-Scale Empirical Study. | Haein Yeo, Seungwan Jin, Taehyung Noh, Yejin Shin, Sangyeon Kang, Sangwoo Heo, Jiwon Chung, Hwarim Hyun, Kyungsik Han |
| 2025 | CIKM | Externalizing Social-Cognitive Structures for User Modeling: Toward Theory-Driven Profiling with LLMs. | Taehyung Noh, Seungwan Jin, Haein Yeo, Kyungsik Han |
| 2024 | ECCV | Integration of Global and Local Representations for Fine-Grained Cross-Modal Alignment. | Seungwan Jin, Hoyoung Choi, Taehyung Noh, Kyungsik Han |
| 2023 | CHI | A Study on User Perception and Experience Differences in Recommendation Results by Domain Expertise: The Case of Fashion Domains. | Taehyung Noh, Haein Yeo, Myungjin Kim, Kyungsik Han |
| 2022 | VRST | VISTA: User-centered VR Training System for Effectively Deriving Characteristics of People with Autism Spectrum Disorder. | Bogoan Kim, Dayoung Jeong, Mingon Jeong, Taehyung Noh, Sung-In Kim, Taewan Kim, So-youn Jang, Hee Jeong Yoo, Jennifer G. Kim, Hwajung Hong, Kyungsik Han |