| 2025 | AAAI | RA-SGG: Retrieval-Augmented Scene Graph Generation Framework via Multi-Prototype Learning. | Kanghoon Yoon, Kibum Kim, Jaehyeong Jeon, Yeonjun In, Donghyun Kim, Chanyoung Park |
| 2025 | EMNLP | Is Safety Standard Same for Everyone? User-Specific Safety Evaluation of Large Language Models. | Yeonjun In, Wonjoong Kim, Kanghoon Yoon, Sungchul Kim, Mehrab Tanjim, Sangwu Park, Kibum Kim, Chanyoung Park |
| 2025 | ICLR | Weakly Supervised Video Scene Graph Generation via Natural Language Supervision. | Kibum Kim, Kanghoon Yoon, Yeonjun In, Jaehyeong Jeon, Jinyoung Moon, Donghyun Kim, Chanyoung Park |
| 2025 | WSDM | Revisiting Fake News Detection: Towards Temporality-aware Evaluation by Leveraging Engagement Earliness. | Junghoon Kim, Junmo Lee, Yeonjun In, Kanghoon Yoon, Chanyoung Park |
| 2024 | CIKM | Debiased Graph Poisoning Attack via Contrastive Surrogate Objective. | Kanghoon Yoon, Yeonjun In, Namkyeong Lee, Kibum Kim, Chanyoung Park |
| 2024 | CVPR | LLM4SGG: Large Language Models for Weakly Supervised Scene Graph Generation. | Kibum Kim, Kanghoon Yoon, Jaehyeong Jeon, Yeonjun In, Jinyoung Moon, Donghyun Kim, Chanyoung Park |
| 2024 | ECCV | Semantic Diversity-Aware Prototype-Based Learning for Unbiased Scene Graph Generation. | Jaehyeong Jeon, Kibum Kim, Kanghoon Yoon, Chanyoung Park |
| 2024 | ICLR | Adaptive Self-training Framework for Fine-grained Scene Graph Generation. | Kibum Kim, Kanghoon Yoon, Yeonjun In, Jinyoung Moon, Donghyun Kim, Chanyoung Park |
| 2024 | WWW | Self-Guided Robust Graph Structure Refinement. | Yeonjun In, Kanghoon Yoon, Kibum Kim, Kijung Shin, Chanyoung Park |
| 2023 | AAAI | Unbiased Heterogeneous Scene Graph Generation with Relation-Aware Message Passing Neural Network. | Kanghoon Yoon, Kibum Kim, Jinyoung Moon, Chanyoung Park |
| 2023 | CIKM | Class Label-aware Graph Anomaly Detection. | Junghoon Kim, Yeonjun In, Kanghoon Yoon, Junmo Lee, Chanyoung Park |
| 2023 | KDD | Similarity Preserving Adversarial Graph Contrastive Learning. | Yeonjun In, Kanghoon Yoon, Chanyoung Park |
| 2023 | KDD | Shift-Robust Molecular Relational Learning with Causal Substructure. | Namkyeong Lee, Kanghoon Yoon, Gyoung S. Na, Sein Kim, Chanyoung Park |
| 2023 | KDD | Learning Multivariate Hawkes Process via Graph Recurrent Neural Network. | Kanghoon Yoon, Youngjun Im, Jingyu Choi, Taehwan Jeong, Jinkyoo Park |
| 2022 | CIKM | LTE4G: Long-Tail Experts for Graph Neural Networks. | Sukwon Yun, Kibum Kim, Kanghoon Yoon, Chanyoung Park |