| 2026 | ACL | Revisiting Non-Verbatim Memorization in Large Language Models: The Role of Entity Surface Forms. | Yuto Nishida, Naoki Shikoda, Yosuke Kishinami, Ryo Fujii, Makoto Morishita, Hidetaka Kamigaito, Taro Watanabe |
| 2026 | EACL | TimeMachine-bench: A Benchmark for Evaluating Model Capabilities in Repository-Level Migration Tasks. | Ryo Fujii, Makoto Morishita, Kazuki Yano, Jun Suzuki |
| 2025 | ICCV | Human Preference-Aligned Concept Customization Benchmark via Decomposed Evaluation. | Reina Ishikawa, Ryo Fujii, Hideo Saito, Ryo Hachiuma |
| 2025 | WACV | CrowdMAC: Masked Crowd Density Completion for Robust Crowd Density Forecasting. | Ryo Fujii, Ryo Hachiuma, Hideo Saito |
| 2024 | ECCV | Multimodal Cross-Domain Few-Shot Learning for Egocentric Action Recognition. | Masashi Hatano, Ryo Hachiuma, Ryo Fujii, Hideo Saito |
| 2024 | ICASSP | Weakly Semi-Supervised Tool Detection in Minimally Invasive Surgery Videos. | Ryo Fujii, Ryo Hachiuma, Hideo Saito |
| 2024 | MICCAI | EgoSurgery-Phase: A Dataset of Surgical Phase Recognition from Egocentric Open Surgery Videos. | Ryo Fujii, Masashi Hatano, Hideo Saito, Hiroki Kajita |
| 2022 | ICRA | Neural Implicit Event Generator for Motion Tracking. | Mana Masuda, Yusuke Sekikawa, Ryo Fujii, Hideo Saito |
| 2021 | ICIP | Toward Unsupervised 3d Point Cloud Anomaly Detection Using Variational Autoencoder. | Mana Masuda, Ryo Hachiuma, Ryo Fujii, Hideo Saito, Yusuke Sekikawa |
| 2020 | COLING | PheMT: A Phenomenon-wise Dataset for Machine Translation Robustness on User-Generated Contents. | Ryo Fujii, Masato Mita, Kaori Abe, Kazuaki Hanawa, Makoto Morishita, Jun Suzuki, Kentaro Inui |
| 2020 | ISVC | Unsupervised Anomaly Detection of the First Person in Gait from an Egocentric Camera. | Mana Masuda, Ryo Hachiuma, Ryo Fujii, Hideo Saito |
| 2019 | ISMAR | Joint Inpainting of RGB and Depth Images by Generative Adversarial Network with a Late Fusion Approach. | Ryo Fujii, Ryo Hachiuma, Hideo Saito |
| 2012 | NLDB | Technical Term Recognition with Semi-supervised Learning Using Hierarchical Bayesian Language Models. | Ryo Fujii, Akito Sakurai |