| 2026 | AAAI | Harmonic Dataset Distillation for Time Series Forecasting. | Seungha Hong, Sanghwan Jang, Wonbin Kweon, Suyeon Kim, Gyuseok Lee, Hwanjo Yu |
| 2026 | WWW | PairSem: LLM-Guided Pairwise Semantic Matching for Scientific Document Retrieval. | Wonbin Kweon, Runchu Tian, Seongku Kang, Pengcheng Jiang, Zhiyong Lu, Jiawei Han, Hwanjo Yu |
| 2026 | SIGIR | SPRINT: Scalable and Predictive Intent Refinement for LLM-Enhanced Session-based Recommendation. | Gyuseok Lee, Wonbin Kweon, Zhenrui Yue, Yaokun Liu, Yifan Liu, Susik Yoon, Dong Wang, Seongku Kang |
| 2025 | ACL | Verbosity-Aware Rationale Reduction: Sentence-Level Rationale Reduction for Efficient and Effective Reasoning. | Joonwon Jang, Jaehee Kim, Wonbin Kweon, Seonghyeon Lee, Hwanjo Yu |
| 2025 | CIKM | Federated Continual Recommendation. | Jaehyung Lim, Wonbin Kweon, Woojoo Kim, Junyoung Kim, Seongjin Choi, Dongha Kim, Hwanjo Yu |
| 2025 | EMNLP | Topic Coverage-based Demonstration Retrieval for In-Context Learning. | Wonbin Kweon, SeongKu Kang, Runchu Tian, Pengcheng Jiang, Jiawei Han, Hwanjo Yu |
| 2025 | KDD | Controlling Diversity at Inference: Guiding Diffusion Recommender Models with Targeted Category Preferences. | Gwangseok Han, Wonbin Kweon, Minsoo Kim, Hwanjo Yu |
| 2025 | WWW | Uncertainty Quantification and Decomposition for LLM-based Recommendation. | Wonbin Kweon, Sanghwan Jang, SeongKu Kang, Hwanjo Yu |
| 2025 | WSDM | Improving Scientific Document Retrieval with Concept Coverage-based Query Set Generation. | SeongKu Kang, Bowen Jin, Wonbin Kweon, Yu Zhang, Dongha Lee, Jiawei Han, Hwanjo Yu |
| 2024 | KDD | Continual Collaborative Distillation for Recommender System. | Gyuseok Lee, SeongKu Kang, Wonbin Kweon, Hwanjo Yu |
| 2024 | NAACL | Rectifying Demonstration Shortcut in In-Context Learning. | Joonwon Jang, Sanghwan Jang, Wonbin Kweon, Minjin Jeon, Hwanjo Yu |
| 2024 | WWW | Top-Personalized-K Recommendation. | Wonbin Kweon, SeongKu Kang, Sanghwan Jang, Hwanjo Yu |
| 2024 | WWW | Doubly Calibrated Estimator for Recommendation on Data Missing Not at Random. | Wonbin Kweon, Hwanjo Yu |
| 2023 | WWW | Distillation from Heterogeneous Models for Top-K Recommendation. | SeongKu Kang, Wonbin Kweon, Dongha Lee, Jianxun Lian, Xing Xie, Hwanjo Yu |
| 2022 | AAAI | Obtaining Calibrated Probabilities with Personalized Ranking Models. | Wonbin Kweon, SeongKu Kang, Hwanjo Yu |
| 2022 | WWW | Consensus Learning from Heterogeneous Objectives for One-Class Collaborative Filtering. | Seongku Kang, Dongha Lee, Wonbin Kweon, Junyoung Hwang, Hwanjo Yu |
| 2021 | KDD | Topology Distillation for Recommender System. | SeongKu Kang, Junyoung Hwang, Wonbin Kweon, Hwanjo Yu |
| 2021 | WWW | Bidirectional Distillation for Top-K Recommender System. | Wonbin Kweon, SeongKu Kang, Hwanjo Yu |
| 2020 | CIKM | DE-RRD: A Knowledge Distillation Framework for Recommender System. | SeongKu Kang, Junyoung Hwang, Wonbin Kweon, Hwanjo Yu |
| 2020 | WWW | Deep Rating Elicitation for New Users in Collaborative Filtering. | Wonbin Kweon, SeongKu Kang, Junyoung Hwang, Hwanjo Yu |