| 2026 | AAAI | Feature-Centric Unsupervised Node Representation Learning Without Homophily Assumption. | Sunwoo Kim, Soo Yong Lee, Kyungho Kim, Hyunjin Hwang, Jaemin Yoo, Kijung Shin |
| 2026 | WWW | Personalized Parameter-Efficient Fine-Tuning of Foundation Models for Multimodal Recommendation. | Sunwoo Kim, Hyunjin Hwang, Kijung Shin |
| 2025 | ICDM | HyperSearch: Prediction of New Hyperedges Through Unconstrained yet Efficient Search. | Hyunjin Choo, Fanchen Bu, Hyunjin Hwang, Young-Gyu Yoon, Kijung Shin |
| 2025 | KDD | On Measuring Unnoticeability of Graph Adversarial Attacks: Observations, New Measure, and Applications. | Hyeonsoo Jo, Hyunjin Hwang, Fanchen Bu, Soo Yong Lee, Chanyoung Park, Kijung Shin |
| 2024 | ICDM | Prediction Is NOT Classification: On Formulation and Evaluation of Hyperedge Prediction. | Taehyung Yu, Soo Yong Lee, Hyunjin Hwang, Kijung Shin |
| 2022 | ICDM | Deep-Learning-Based Precipitation Nowcasting with Ground Weather Station Data and Radar Data. | Jihoon Ko, Kyuhan Lee, Hyunjin Hwang, Kijung Shin |
| 2022 | SIGIR | AHP: Learning to Negative Sample for Hyperedge Prediction. | Hyunjin Hwang, Seungwoo Lee, Chanyoung Park, Kijung Shin |