| 2023 | ICML | Graph Neural Networks can Recover the Hidden Features Solely from the Graph Structure. | Ryoma Sato |
| 2023 | WWW | Active Learning from the Web. | Ryoma Sato |
| 2022 | AISTATS | Fixed Support Tree-Sliced Wasserstein Barycenter. | Yuki Takezawa, Ryoma Sato, Zornitsa Kozareva, Sujith Ravi, Makoto Yamada |
| 2022 | CIKM | Towards Principled User-side Recommender Systems. | Ryoma Sato |
| 2022 | CIKM | CLEAR: A Fully User-side Image Search System. | Ryoma Sato |
| 2022 | CIKM | Twin Papers: A Simple Framework of Causal Inference for Citations via Coupling. | Ryoma Sato, Makoto Yamada, Hisashi Kashima |
| 2022 | ICML | Re-evaluating Word Mover's Distance. | Ryoma Sato, Makoto Yamada, Hisashi Kashima |
| 2022 | NAACL | Word Tour: One-dimensional Word Embeddings via the Traveling Salesman Problem. | Ryoma Sato |
| 2022 | WSDM | Enumerating Fair Packages for Group Recommendations. | Ryoma Sato |
| 2022 | WSDM | Retrieving Black-box Optimal Images from External Databases. | Ryoma Sato |
| 2022 | SDM | Private Recommender Systems: How Can Users Build Their Own Fair Recommender Systems without Log Data? | Ryoma Sato |
| 2021 | ICML | Supervised Tree-Wasserstein Distance. | Yuki Takezawa, Ryoma Sato, Makoto Yamada |
| 2021 | SDM | Random Features Strengthen Graph Neural Networks. | Ryoma Sato, Makoto Yamada, Hisashi Kashima |
| 2019 | ACML | Learning to Sample Hard Instances for Graph Algorithms. | Ryoma Sato, Makoto Yamada, Hisashi Kashima |
| 2018 | ICANN | Short-Term Precipitation Prediction with Skip-Connected PredNet. | Ryoma Sato, Hisashi Kashima, Takehiro Yamamoto |