Donghee Han

According to our database, Donghee Han authored at least 19 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Every Preference Has Its Strength: Injecting Ordinal Semantics into LLM-Based Recommenders.

Jiwon Jeong, Donghee Han, Sungrae Hong, Woosung Kang, Mun Yong Yi

CoRR, May, 2026

Every Error has Its Magnitude: Asymmetric Mistake Severity Training for Multiclass Multiple Instance Learning.

Sungrae Hong, Jiwon Jeong, Jisu Shin, Donghee Han, Sol Lee, Kyungeun Kim, Mun Yong Yi

CoRR, March, 2026

2025

Fine-grained multi-prompt essay scoring with multi-level disentanglement.

Donghee Han, Daeyoung Roh, Euihwan Han, Hwanjun Song, Mun Yong Yi

Data Min. Knowl. Discov., September, 2025

Efficient Knowledge Tracing Leveraging Higher-Order Information in Integrated Graphs.

Donghee Han, Daehee Kim, Minjun Lee, Daeyoung Roh, Keejun Han, Mun Yong Yi

CoRR, July, 2025

Rethinking LLM-Based Recommendations: A Query Generation-Based, Training-Free Approach.

Donghee Han, Hwanjun Song, Mun Yong Yi

CoRR, April, 2025

Closer through commonality: Enhancing hypergraph contrastive learning with shared groups.

Daeyoung Roh, Donghee Han, Daehee Kim, Keejun Han, Mun Yi

CoRR, February, 2025

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

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2025

Rethinking LLM-Based Recommendations: A Personalized Query-Driven Parallel Integration.

Donghee Han, Hwanjun Song, Mun Yong Yi

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

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

Proceedings of the 31st International Conference on Computational Linguistics, 2025

RAG-based Unanswerable Question Detection in Clinical Text-to-SQL.

Donghee Han, Seungjae Lim, Mun Yong Yi

Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

2024

Keyword-enhanced recommender system based on inductive graph matrix completion.

Donghee Han, Daehee Kim, Keejun Han, Mun Yong Yi

Eng. Appl. Artif. Intell., 2024

SIG-Net: GNN based dropout prediction in MOOCs using Student Interaction Graph.

Daeyoung Roh, Donghee Han, Daehee Kim, Keejun Han, Mun Yong Yi

Proceedings of the 39th ACM/SIGAPP Symposium on Applied Computing, 2024

Less is More: A Streamlined Graph-Based Fashion Outfit Recommendation without Multimodal Dependency.

Daehee Kim, Donghee Han, Daeyoung Roh, Keejun Han, Mun Yong Yi

Proceedings of the 39th ACM/SIGAPP Symposium on Applied Computing, 2024

Closer through commonality: Enhancing hypergraph contrastive learning with shared groups.

Daeyoung Roh, Donghee Han, Daehee Kim, Keejun Han, Mun Yong Yi

Proceedings of the IEEE International Conference on Big Data, 2024

ProbGate at EHRSQL 2024: Enhancing SQL Query Generation Accuracy through Probabilistic Threshold Filtering and Error Handling.

Sangryul Kim, Donghee Han, Sehyun Kim

Proceedings of the 6th Clinical Natural Language Processing Workshop, 2024

2023

Temporal enhanced inductive graph knowledge tracing.

Donghee Han, Daehee Kim, Minsu Kim, Keejun Han, Mun Yong Yi

Appl. Intell., December, 2023

Context-aware Inductive Graph Matrix Completion with Sentence BERT.

Donghee Han, Daehee Kim, Keejun Han, Mun Yong Yi

Proceedings of the IEEE International Conference on Web Services, 2023

Inductive Graph-based Knowledge Tracing.

Donghee Han, Daehee Kim, Keejun Han, Mun Yong Yi

Proceedings of the IEEE International Conference on Big Data and Smart Computing, 2023

2022

Multi-Relational Stacking Ensemble Recommender System Using Cinematic Experience.

Cheonsol Lee, Donghee Han, Seungwoo Choi, Keejun Han, Mun Yong Yi

Proceedings of the IEEE International Conference on Big Data and Smart Computing, 2022