| Simple averaging of direct and recursive forecasts via partial pooling using machine learning YJ In, JY Jung International Journal of Forecasting 38 (4), 1386-1399, 2022 | 16 | 2022 |
| Grafn: Semi-supervised node classification on graph with few labels via non-parametric distribution assignment J Lee, Y Oh, Y In, N Lee, D Hyun, C Park Proceedings of the 45th International ACM SIGIR Conference on Research and …, 2022 | 6 | 2022 |
| Similarity Preserving Adversarial Graph Contrastive Learning Y In, K Yoon, C Park Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023 | 3 | 2023 |
| SIMPLOT: Enhancing Chart Question Answering by Distilling Essentials W Kim, S Park, Y In, S Han, C Park arXiv preprint arXiv:2405.00021, 2024 | | 2024 |
| DSLR: Diversity Enhancement and Structure Learning for Rehearsal-based Graph Continual Learning S Choi, W Kim, S Kim, Y In, S Kim, C Park The 2024 ACM Web Conference (WWW 2024), 2024 | | 2024 |
| Self-Guided Robust Graph Structure Refinement Y In, K Yoon, K Kim, K Shin, C Park The 2024 ACM Web Conference (WWW 2024), 2024 | | 2024 |
| Adaptive Self-training Framework for Fine-grained Scene Graph Generation K Kim, K Yoon, Y In, J Moon, D Kim, C Park The Twelfth International Conference on Learning Representations (ICLR 2024), 2024 | | 2024 |
| Class Label-aware Graph Anomaly Detection J Kim, Y In, K Yoon, J Lee, C Park Proceedings of the 32nd ACM International Conference on Information and …, 2023 | | 2023 |
| Noise Robust Graph Learning under Feature-Dependent Graph-Noise Y In, K Yoon, K Kim, S Kim, C Park | | 2023 |
| LLM4SGG: Large Language Model for Weakly Supervised Scene Graph Generation K Kim, K Yoon, J Jeon, Y In, J Moon, D Kim, C Park The IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR 2024 …, 2023 | | 2023 |
Chanyoung ParkKAISTVerified email at kaist.ac.kr
