| 2025 | CIKM | Sparse and Dense Retrievers Learn Better Together: Joint Sparse-Dense Optimization for Text-Image Retrieval. | Jonghyun Song, Youngjune Lee, Gyu-Hwung Cho, Ilhyeon Song, Saehun Kim, Yohan Jo |
| 2025 | SIGIR | IRA: Adaptive Interest-aware Representation and Alignment for Personalized Multi-interest Retrieval. | Youngjune Lee, Haeyu Jeong, Changgeon Lim, Jeong Choi, Hongjun Lim, Hangon Kim, Jiyoon Kwon, Saehun Kim |
| 2024 | EMNLP | RRADistill: Distilling LLMs' Passage Ranking Ability for Long-Tail Queries Document Re-Ranking on a Search Engine. | Nayoung Choi, Youngjune Lee, Gyu-Hwung Cho, Haeyu Jeong, Jungmin Kong, Saehun Kim, Keunchan Park, Sarah Cho, Inchang Jeong, Gyohee Nam, Sunghoon Han, Wonil Yang, Jaeho Choi |
| 2018 | CVPR | Fully End-to-End Learning Based Conditional Boundary Equilibrium GAN With Receptive Field Sizes Enlarged for Single Ultra-High Resolution Image Dehazing. | Sehwan Ki, Hyeonjun Sim, Jae-Seok Choi, Saehun Kim, Munchurl Kim |
| 2018 | CVPR | High-Resolution Image Dehazing With Respect to Training Losses and Receptive Field Sizes. | Hyeonjun Sim, Sehwan Ki, Jae-Seok Choi, Soomin Seo, Saehun Kim, Munchurl Kim |