| 2026 | AAAI | Think Wise, Collaborate Effectively: A Rationale-Aware LLM-Based Recommender with Reinforcement Learning from Collaborative Signals. | Chung Park, Taesan Kim, Hyeongjun Yun, Dongjoon Hong, Junui Hong, Kijung Park, Mincheol Cho, Minsung Choi, Jihwan Seok, Jaegul Choo |
| 2025 | IECON | Study on Battery Energy Storage for Reduction in CO2 Emissions of All-electrified Houses with Photovoltaic Resource. | Mincheol Cho, Tomonori Honda |
| 2024 | ICLR | $t^3$-Variational Autoencoder: Learning Heavy-tailed Data with Student's t and Power Divergence. | Juno Kim, Jaehyuk Kwon, Mincheol Cho, Hyunjong Lee, Joong-Ho Won |
| 2024 | SIGIR | Pacer and Runner: Cooperative Learning Framework between Single- and Cross-Domain Sequential Recommendation. | Chung Park, Taesan Kim, Hyungjun Yoon, Junui Hong, Yelim Yu, Mincheol Cho, Minsung Choi, Jaegul Choo |
| 2023 | CIKM | Cracking the Code of Negative Transfer: A Cooperative Game Theoretic Approach for Cross-Domain Sequential Recommendation. | Chung Park, Taesan Kim, Taekyoon Choi, Junui Hong, Yelim Yu, Mincheol Cho, Kyunam Lee, Sungil Ryu, Hyungjun Yoon, Minsung Choi, Jaegul Choo |