| 2025 | CVPR | Prompt-Guided Attention Head Selection for Focus-Oriented Image Retrieval. | Yuji Nozawa, Yu-Chieh Lin, Kazumoto Nakamura, Youyang Ng |
| 2025 | MVA | Revisiting Self-Generating Simple Figure Patterns for Learning Microscopy Image Segmentation. | Shuhei Iijima, Takuji Ohashi, Yu-Chieh Lin, Youyang Ng |
| 2024 | ACCV | Improving Image Clustering with Artifacts Attenuation via Inference-Time Attention Engineering. | Kazumoto Nakamura, Yuji Nozawa, Yu-Chieh Lin, Kengo Nakata, Youyang Ng |
| 2024 | ECCV | Rethinking Sparse Lexical Representations for Image Retrieval in the Age of Rising Multi-modal Large Language Models. | Kengo Nakata, Daisuke Miyashita, Youyang Ng, Yasuto Hoshi, Jun Deguchi |
| 2024 | ECCV | Revisiting Relevance Feedback for CLIP-Based Interactive Image Retrieval. | Ryoya Nara, Yu-Chieh Lin, Yuji Nozawa, Youyang Ng, Goh Itoh, Osamu Torii, Yusuke Matsui |
| 2023 | EMNLP | RaLLe: A Framework for Developing and Evaluating Retrieval-Augmented Large Language Models. | Yasuto Hoshi, Daisuke Miyashita, Youyang Ng, Kento Tatsuno, Yasuhiro Morioka, Osamu Torii, Jun Deguchi |
| 2022 | ECCV | Revisiting a kNN-Based Image Classification System with High-Capacity Storage. | Kengo Nakata, Youyang Ng, Daisuke Miyashita, Asuka Maki, Yu-Chieh Lin, Jun Deguchi |