| DE-RRD: A Knowledge Distillation Framework for Recommender System SK Kang, J Hwang, W Kweon, H Yu CIKM'20 (ACM International Conference on Information & Knowledge Management), 2020 | 94 | 2020 |
| Bidirectional Distillation for Top-K Recommender System W Kweon, SK Kang, H Yu WWW'21 (ACM The Web Conference 2021), 2021 | 55 | 2021 |
| Topology Distillation for Recommender System SK Kang, J Hwang, W Kweon, H Yu KDD'21 (ACM International Conference on Knowledge Discovery & Data Mining), 2021 | 47 | 2021 |
| Personalized knowledge distillation for recommender system SK Kang, D Lee, W Kweon, H Yu Knowledge-Based Systems 239, 107958, 2022 | 25 | 2022 |
| Obtaining Calibrated Probabilities with Personalized Ranking Models W Kweon, SK Kang, H Yu AAAI'22 (Thirty-Sixth AAAI Conference on Artificial Intelligence), 2022 | 16 | 2022 |
| Item-side ranking regularized distillation for recommender system SK Kang, J Hwang, W Kweon, H Yu Information Sciences 580, 15-34, 2021 | 16 | 2021 |
| Consensus Learning from Heterogeneous Objectives for One-Class Collaborative Filtering SK Kang, D Lee, W Kweon, J Hwang, H Yu WWW'22 (ACM The Web Conference 2022), 2022 | 14 | 2022 |
| Doubly Calibrated Estimator for Recommendation on Data Missing Not At Random W Kweon, H Yu WWW'24 (ACM The Web Conference 2024), 2024 | 13 | 2024 |
| Distillation from Heterogeneous Models for Top-K Recommendation SK Kang, W Kweon, D Lee, J Lian, X Xie, H Yu WWW'23 (ACM The Web Conference 2023), 2023 | 13 | 2023 |
| Deep Rating Elicitation for New Users in Collaborative Filtering W Kweon, S Kang, J Hwang, H Yu WWW'20 (ACM The Web Conference 2020), 2020 | 8 | 2020 |
| Top-Personalized-K Recommendation W Kweon, SK Kang, S Jang, H Yu WWW'24 (ACM The Web Conference 2024), 2024 | 6 | 2024 |
| Controlling Diversity at Inference: Guiding Diffusion Recommender Models with Targeted Category Preferences G Han*, W Kweon*, M Kim, H Yu KDD'25 (ACM International Conference on Knowledge Discovery & Data Mining), 2025 | 2 | 2025 |
| Continual Collaborative Distillation for Recommender System G Lee, SK Kang, W Kweon, H Yu KDD'24 (ACM International Conference on Knowledge Discovery & Data Mining), 2024 | 2 | 2024 |
| Verbosity-Aware Rationale Reduction: Effective Reduction of Redundant Rationale via Principled Criteria J Jang, J Kim, W Kweon, H Yu arXiv preprint arXiv:2412.21006, 2024 | 1 | 2024 |
| Rectifying Demonstration Shortcut in In-Context Learning J Jang, S Jang, W Kweon, M Jeon, H Yu NAACL'24 (Annual Conference of the North American Chapter of the Association …, 2024 | 1 | 2024 |
| Confidence Calibration for Recommender Systems and Its Applications W Kweon Doctoral Dissertation, 2024 | 1 | 2024 |
| Unbiased, Effective, and Efficient Distillation from Heterogeneous Models for Recommender Systems SK Kang, W Kweon, D Lee, J Lian, X Xie, H Yu ACM Transactions on Recommender Systems, 2024 | 1 | 2024 |
| Uncertainty Quantification and Decomposition for LLM-based Recommendation W Kweon, S Jang, SK Kang, H Yu WWW'25 (ACM The Web Conference 2025), 2025 | | 2025 |
| Improving Scientific Document Retrieval with Concept Coverage-based Query Set Generation SK Kang, B Jin, W Kweon, Y Zhang, D Lee, J Han, H Yu WSDM'25 (ACM International Conference on Web Search and Data Mining), 2025 | | 2025 |
| 인기도 편향 문제 해결을 위한 임베딩 전이 기법 곽창수， 권원빈， 유환조 한국정보과학회 학술발표논문집, 649-651, 2022 | | 2022 |
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