Multi-Relational Stacking Ensemble Recommender System Using Cinematic Experience. - Cheonsol Lee; Donghee Han 001; Seungwoo Choi; Keejun Han; Mun Yong Yi (BigComp, 2022)

Inductive Graph-based Knowledge Tracing. - Donghee Han 001; Daehee Kim; Keejun Han; Mun Yong Yi (BigComp, 2023)

Context-aware Inductive Graph Matrix Completion with Sentence BERT. - Donghee Han 001; Daehee Kim; Keejun Han; Mun Yong Yi (ICWS, 2023)

Temporal enhanced inductive graph knowledge tracing. - Donghee Han 001; Daehee Kim; Minsu Kim; Keejun Han; Mun Yong Yi (Appl. Intell., 2023)

ProbGate at EHRSQL 2024: Enhancing SQL Query Generation Accuracy through Probabilistic Threshold Filtering and Error Handling. - Sangryul Kim; Donghee Han 001; Sehyun Kim (ClinicalNLP@NAACL, 2024)

Closer through commonality: Enhancing hypergraph contrastive learning with shared groups. - Daeyoung Roh; Donghee Han 001; Daehee Kim; Keejun Han; Mun Yong Yi (IEEE Big Data, 2024)

Less is More: A Streamlined Graph-Based Fashion Outfit Recommendation without Multimodal Dependency. - Daehee Kim; Donghee Han 001; Daeyoung Roh; Keejun Han; Mun Yong Yi (SAC, 2024)

SIG-Net: GNN based dropout prediction in MOOCs using Student Interaction Graph. - Daeyoung Roh; Donghee Han 001; Daehee Kim; Keejun Han; Mun Yong Yi (SAC, 2024)

Keyword-enhanced recommender system based on inductive graph matrix completion. - Donghee Han 001; Daehee Kim; Keejun Han; Mun Yong Yi (Eng. Appl. Artif. Intell., 2024)

RAG-based Unanswerable Question Detection in Clinical Text-to-SQL. - Donghee Han 001; Seungjae Lim; Mun Yong Yi (CIKM, 2025)

Leveraging LLM-Generated Schema Descriptions for Unanswerable Question Detection in Clinical Data. - Donghee Han 001; Seungjae Lim; Daeyoung Roh; Sangryul Kim; Sehyun Kim; Mun Yong Yi (COLING, 2025)

Rethinking LLM-Based Recommendations: A Personalized Query-Driven Parallel Integration. - Donghee Han 001; Hwanjun Song; Mun Yong Yi (EMNLP (Findings), 2025)

CTIP: Towards Accurate Tabular-to-Image Generation for Tire Footprint Generation. - Daeyoung Roh; Donghee Han 001; Jihyun Nam; Jungsoo Oh; Youngbin You; Jeongheon Park; Mun Yong Yi (WACV, 2025)

Closer through commonality: Enhancing hypergraph contrastive learning with shared groups. - Daeyoung Roh; Donghee Han 001; Daehee Kim; Keejun Han; Mun Yi (CoRR, 2025)

Rethinking LLM-Based Recommendations: A Query Generation-Based, Training-Free Approach. - Donghee Han 001; Hwanjun Song; Mun Yong Yi (CoRR, 2025)

Efficient Knowledge Tracing Leveraging Higher-Order Information in Integrated Graphs. - Donghee Han 001; Daehee Kim; Minjun Lee; Daeyoung Roh; Keejun Han; Mun Yong Yi (CoRR, 2025)

Fine-grained multi-prompt essay scoring with multi-level disentanglement. - Donghee Han 001; Daeyoung Roh; Euihwan Han; Hwanjun Song; Mun Yong Yi (Data Min. Knowl. Discov., 2025)

Every Error has Its Magnitude: Asymmetric Mistake Severity Training for Multiclass Multiple Instance Learning. - Sungrae Hong; Jiwon Jeong; Jisu Shin 001; Donghee Han 001; Sol Lee; Kyungeun Kim; Mun Yong Yi (CoRR, 2026)

Every Preference Has Its Strength: Injecting Ordinal Semantics into LLM-Based Recommenders. - Jiwon Jeong; Donghee Han 001; Sungrae Hong; Woosung Kang 001; Mun Yong Yi (CoRR, 2026)