| Large language models meet collaborative filtering: An efficient all-round llm-based recommender system S Kim, H Kang, S Choi, D Kim, M Yang, C Park Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and …, 2024 | 40 | 2024 |
| Heterogeneous graph learning for multi-modal medical data analysis S Kim, N Lee, J Lee, D Hyun, C Park Proceedings of the AAAI Conference on Artificial Intelligence 37 (4), 5141-5150, 2023 | 27 | 2023 |
| Shift-robust molecular relational learning with causal substructure N Lee, K Yoon, GS Na, S Kim, C Park Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023 | 21 | 2023 |
| DSLR: Diversity enhancement and structure learning for rehearsal-based graph continual learning S Choi, W Kim, S Kim, Y In, S Kim, C Park Proceedings of the ACM Web Conference 2024, 733-744, 2024 | 7 | 2024 |
| Task relation-aware continual user representation learning S Kim, N Lee, D Kim, M Yang, C Park Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023 | 7 | 2023 |
| MUSE: music recommender system with shuffle play recommendation enhancement Y Oh, S Yun, D Hyun, S Kim, C Park Proceedings of the 32nd ACM international conference on information and …, 2023 | 6 | 2023 |
| Lost in Sequence: Do Large Language Models Understand Sequential Recommendation? S Kim, H Kang, K Kim, J Kim, D Kim, M Yang, K Oh, J McAuley, C Park arXiv preprint arXiv:2502.13909, 2025 | 1 | 2025 |
| Image is All You Need: Towards Efficient and Effective Large Language Model-Based Recommender Systems K Kim, S Kim, H Kang, J Kim, H Noh, Y In, K Yoon, J Oh, C Park arXiv preprint arXiv:2503.06238, 2025 | | 2025 |
| Subgraph Federated Learning for Local Generalization S Kim, Y Lee, Y Oh, N Lee, S Yun, J Lee, S Kim, C Yang, C Park arXiv preprint arXiv:2503.03995, 2025 | | 2025 |
Chanyoung ParkAssociate Professor, KAISTVerified email at kaist.ac.kr
