| 2025 | KDD | Adapting Large Vision-Language Models to Visually-Aware Conversational Recommendation. | Hyunsik Jeon, Satoshi Koide, Yu Wang, Zhankui He, Julian J. McAuley |
| 2024 | CIKM | Calibration-Disentangled Learning and Relevance-Prioritized Reranking for Calibrated Sequential Recommendation. | Hyunsik Jeon, Se-eun Yoon, Julian J. McAuley |
| 2024 | RecSys | Neighborhood-Based Collaborative Filtering for Conversational Recommendation. | Zhouhang Xie, Junda Wu, Hyunsik Jeon, Zhankui He, Harald Steck, Rahul Jha, Dawen Liang, Nathan Kallus, Julian J. McAuley |
| 2024 | WWW | Cold-start Bundle Recommendation via Popularity-based Coalescence and Curriculum Heating. | Hyunsik Jeon, Jong-eun Lee, Jeongin Yun, U Kang |
| 2023 | PAKDD | Aggregately Diversified Bundle Recommendation via Popularity Debiasing and Configuration-Aware Reranking. | Hyunsik Jeon, Jongjin Kim, Jaeri Lee, Jong-eun Lee, U Kang |
| 2023 | PAKDD | Diversely Regularized Matrix Factorization for Accurate and Aggregately Diversified Recommendation. | Jongjin Kim, Hyunsik Jeon, Jaeri Lee, U Kang |
| 2022 | CIKM | Accurate Action Recommendation for Smart Home via Two-Level Encoders and Commonsense Knowledge. | Hyunsik Jeon, Jongjin Kim, Hoyoung Yoon, Jaeri Lee, U Kang |
| 2022 | KDD | Accurate Node Feature Estimation with Structured Variational Graph Autoencoder. | Jaemin Yoo, Hyunsik Jeon, Jinhong Jung, U Kang |
| 2020 | PAKDD | Accurate News Recommendation Coalescing Personal and Global Temporal Preferences. | Bonhun Koo, Hyunsik Jeon, U Kang |
| 2019 | IJCAI | Belief Propagation Network for Hard Inductive Semi-Supervised Learning. | Jaemin Yoo, Hyunsik Jeon, U Kang |