| 2026 | ACL | Distilling LLM Reasoning into Dense Encoders: Bridging the Accuracy-Efficiency Gap in Recommendation. | Donghee Han, Daeyoung Roh, A Young Kim, Hwanjun Song, Mun Yong Yi |
| 2026 | SIGIR | Every Preference Has Its Strength: Injecting Ordinal Semantics into LLM-Based Recommenders. | Jiwon Jeong, Donghee Han, Sungrae Hong, Woosung Kang, Mun Yong Yi |
| 2025 | CIKM | RAG-based Unanswerable Question Detection in Clinical Text-to-SQL. | Donghee Han, Seungjae Lim, Mun Yong Yi |
| 2025 | COLING | Leveraging LLM-Generated Schema Descriptions for Unanswerable Question Detection in Clinical Data. | Donghee Han, Seungjae Lim, Daeyoung Roh, Sangryul Kim, Sehyun Kim, Mun Yong Yi |
| 2025 | EMNLP | Rethinking LLM-Based Recommendations: A Personalized Query-Driven Parallel Integration. | Donghee Han, Hwanjun Song, Mun Yong Yi |
| 2025 | WACV | CTIP: Towards Accurate Tabular-to-Image Generation for Tire Footprint Generation. | Daeyoung Roh, Donghee Han, Jihyun Nam, Jungsoo Oh, Youngbin You, Jeongheon Park, Mun Yong Yi |
| 2024 | SAC | Less is More: A Streamlined Graph-Based Fashion Outfit Recommendation without Multimodal Dependency. | Daehee Kim, Donghee Han, Daeyoung Roh, Keejun Han, Mun Yong Yi |
| 2024 | SAC | SIG-Net: GNN based dropout prediction in MOOCs using Student Interaction Graph. | Daeyoung Roh, Donghee Han, Daehee Kim, Keejun Han, Mun Yong Yi |
| 2023 | ICWS | Context-aware Inductive Graph Matrix Completion with Sentence BERT. | Donghee Han, Daehee Kim, Keejun Han, Mun Yong Yi |