| 2026 | AAAI | Harmonic Dataset Distillation for Time Series Forecasting. | Seungha Hong, Sanghwan Jang, Wonbin Kweon, Suyeon Kim, Gyuseok Lee, Hwanjo Yu |
| 2026 | WWW | Dynamic Multi-period Experts for Online Time Series Forecasting. | Seungha Hong, Sukang Chae, Suyeon Kim, Sanghwan Jang, Hwanjo Yu |
| 2026 | SIGIR | Filling the Gaps: Selective Knowledge Augmentation for LLM Recommenders. | Jaehyun Lee, Sanghwan Jang, Seongku Kang, Hwanjo Yu |
| 2025 | EMNLP | StepER: Step-wise Knowledge Distillation for Enhancing Reasoning Ability in Multi-Step Retrieval-Augmented Language Models. | Kyumin Lee, Minjin Jeon, Sanghwan Jang, Hwanjo Yu |
| 2025 | WWW | Uncertainty Quantification and Decomposition for LLM-based Recommendation. | Wonbin Kweon, Sanghwan Jang, SeongKu Kang, Hwanjo Yu |
| 2024 | AAAI | Multi-Domain Recommendation to Attract Users via Domain Preference Modeling. | Hyunjun Ju, SeongKu Kang, Dongha Lee, Junyoung Hwang, Sanghwan Jang, Hwanjo Yu |
| 2024 | CVPR | Learning Discriminative Dynamics with Label Corruption for Noisy Label Detection. | Suyeon Kim, Dongha Lee, SeongKu Kang, Sukang Chae, Sanghwan Jang, Hwanjo Yu |
| 2024 | NAACL | Rectifying Demonstration Shortcut in In-Context Learning. | Joonwon Jang, Sanghwan Jang, Wonbin Kweon, Minjin Jeon, Hwanjo Yu |
| 2024 | NAACL | Exploring Language Model's Code Generation Ability with Auxiliary Functions. | Seonghyeon Lee, Sanghwan Jang, Seongbo Jang, Dongha Lee, Hwanjo Yu |
| 2024 | WWW | Top-Personalized-K Recommendation. | Wonbin Kweon, SeongKu Kang, Sanghwan Jang, Hwanjo Yu |
| 2024 | SIGIR | Multi-Domain Sequential Recommendation via Domain Space Learning. | Junyoung Hwang, Hyunjun Ju, SeongKu Kang, Sanghwan Jang, Hwanjo Yu |