| 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 | 25 | 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 SIGIR 2022 (Short), 2022 | 15* | 2022 |
| LLM4SGG: Large Language Model for Weakly Supervised Scene Graph Generation K Kim, K Yoon, J Jeon, Y In, J Moon, D Kim, C Park CVPR 2024, 2023 | 12* | 2023 |
| Adaptive Self-training Framework for Fine-grained Scene Graph Generation K Kim, K Yoon, Y In, J Moon, D Kim, C Park ICLR 2024, 2024 | 9* | 2024 |
| Similarity Preserving Adversarial Graph Contrastive Learning Y In, K Yoon, C Park KDD 2023, 2023 | 9 | 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 WWW 2024, Oral, 2024 | 6 | 2024 |
| Self-Guided Robust Graph Structure Refinement Y In, K Yoon, K Kim, K Shin, C Park WWW 2024, Oral, 2024 | 6 | 2024 |
| Class Label-aware Graph Anomaly Detection J Kim, Y In, K Yoon, J Lee, C Park CIKM 2023 (Short), 2023 | 6 | 2023 |
| RA-SGG: Retrieval-Augmented Scene Graph Generation Framework via Multi-Prototype Learning K Yoon, K Kim, J Jeon, Y In, D Kim, C Park arXiv preprint arXiv:2412.12788, 2024 | | 2024 |
| Revisiting Fake News Detection: Towards Temporality-aware Evaluation by Leveraging Engagement Earliness J Kim, J Lee, Y In, K Yoon, C Park arXiv preprint arXiv:2411.12775, 2024 | | 2024 |
| Diversify-verify-adapt: Efficient and Robust Retrieval-Augmented Ambiguous Question Answering Y In, S Kim, RA Rossi, MM Tanjim, T Yu, R Sinha, C Park arXiv preprint arXiv:2409.02361, 2024 | | 2024 |
| Debiased Graph Poisoning Attack via Contrastive Surrogate Objective K Yoon, Y In, N Lee, K Kim, C Park CIKM 2024, 2024 | | 2024 |
| 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 |
| Noise Robust Graph Learning under Feature-Dependent Graph-Noise Y In, K Yoon, K Kim, S Kim, C Park | | 2024 |
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