• I am an assistant professor at National Institute of Informatics, Japan.
• Interests: Machine Learning for Graph Data, Optimal Transport, Recommender Systems, Information Retrieval
• Publications:
  1. Ryoma Sato. Overhead-free User-side Recommender Systems. arXiv preprint 2024. [arXiv]
  2. Yuki Takezawa, Han Bao, Ryoma Sato, Kenta Niwa, Makoto Yamada. Polyak Meets Parameter-free Clipped Gradient Descent. NeurIPS 2024. [arXiv]
  3. Ryoma Sato. Training-free Graph Neural Networks and the Power of Labels as Features. TMLR 2024. [arXiv]
  4. Ryoma Sato. Making Translators Privacy-aware on the User’s Side. TMLR 2024. [arXiv]
  5. Ryoma Sato, Yuki Takezawa, Han Bao, Kenta Niwa, Makoto Yamada. Embarrassingly Simple Text Watermarks. arXiv preprint 2023. [arXiv]
  6. Yuki Takezawa, Ryoma Sato, Han Bao, Kenta Niwa, Makoto Yamada. Necessary and Sufficient Watermark for Large Language Models. arXiv preprint 2023. [arXiv]
  7. Yuki Takezawa*, Ryoma Sato*, Han Bao, Kenta Niwa, Makoto Yamada. Beyond Exponential Graph: Communication-Efficient Topologies for Decentralized Learning via Finite-time Convergence. NeurIPS 2023. [arXiv]
  8. Yuki Takezawa, Han Bao, Kenta Niwa, Ryoma Sato, Makoto Yamada. Momentum Tracking: Momentum Acceleration for Decentralized Deep Learning on Heterogeneous Data. TMLR 2023. [arXiv]
  9. Ryoma Sato. Graph Neural Networks can Recover the Hidden Features Solely from the Graph Structure. ICML 2023. [arXiv]
  10. Ryoma Sato. Active Learning from the Web. WWW 2023. [arXiv]
  11. Makoto Yamada, Yuki Takezawa, Ryoma Sato, Han Bao, Zornitsa Kozareva, Sujith Ravi. Approximating 1-Wasserstein Distance with Trees. TMLR 2022. [arXiv]
  12. Ryoma Sato. Towards Principled User-side Recommender Systems. CIKM 2022. [arXiv]
  13. Ryoma Sato. CLEAR: A Fully User-side Image Search System. CIKM 2022 (demo). [arXiv]
  14. Ryoma Sato, Makoto Yamada, Hisashi Kashima. Twin Papers: A Simple Framework of Causal Inference for Citations via Coupling. CIKM 2022 (short). [arXiv]
  15. Mathis Petrovich, Chao Liang, Ryoma Sato, Yanbin Liu, Yao-Hung Hubert Tsai, Linchao Zhu, Yi Yang, Ruslan Salakhutdinov, Makoto Yamada. Feature Robust Optimal Transport for High-dimensional Data. ECML/PKDD 2022. [arXiv]
  16. Ryoma Sato, Makoto Yamada, Hisashi Kashima. Re-evaluating Word Mover’s Distance. ICML 2022. [arXiv]
  17. Ryoma Sato. Word Tour: One-dimensional Word Embeddings via the Traveling Salesman Problem. NAACL 2022 (short). [arXiv]
  18. Ryoma Sato, Makoto Yamada, Hisashi Kashima. Poincare: Recommending Publication Venues via Treatment Effect Estimation. Journal of Informetrics 2022. [arXiv]
  19. Yuki Takezawa, Ryoma Sato, Zornitsa Kozareva, Sujith Ravi, Makoto Yamada. Fixed Support Tree-Sliced Wasserstein Barycenter. AISTATS 2022. [arXiv]
  20. Ryoma Sato. Private Recommender Systems: How Can Users Build Their Own Fair Recommender Systems without Log Data? SDM 2022. [arXiv]
  21. Ryoma Sato, Makoto Yamada, Hisashi Kashima. Constant Time Graph Neural Networks. TKDD 2022. [arXiv]
  22. Ryoma Sato. Retrieving Black-box Optimal Images from External Databases. WSDM 2022. [arXiv]
  23. Ryoma Sato. Enumerating Fair Packages for Group Recommendations. WSDM 2022. [arXiv]
  24. Yuki Takezawa, Ryoma Sato, Makoto Yamada. Supervised Tree-Wasserstein Distance. ICML 2021. [arXiv]
  25. Ryoma Sato, Makoto Yamada, Hisashi Kashima. Random Features Strengthen Graph Neural Networks. SDM 2021. [arXiv]
  26. Ryoma Sato, Makoto Yamada, Hisashi Kashima. Fast Unbalanced Optimal Transport on a Tree. NeurIPS 2020. [arXiv]
  27. Ryoma Sato. A Survey on The Expressive Power of Graph Neural Networks. arXiv preprint 2020. [arXiv]
  28. Ryoma Sato, Marco Cuturi, Makoto Yamada, Hisashi Kashima. Fast and Robust Comparison of Probability Measures in Heterogeneous Spaces. arXiv preprint 2020. [arXiv]
  29. Ryoma Sato, Makoto Yamada, Hisashi Kashima. Approximation Ratios of Graph Neural Networks for Combinatorial Problems. NeurIPS 2019. [arXiv]
  30. Ryoma Sato, Makoto Yamada, Hisashi Kashima. Learning to Find Hard Instances of Graph Problems. ACML 2019. [arXiv]
  31. Ryoma Sato, Hisashi Kashima, Takehiro Yamamoto. Short-Term Precipitation Prediction with Skip-Connected PredNet. ICANN 2018.
• Honors:
  • IEICE TC-IBISML Research Award 2019
  • The 22nd Information-based Induction Sciences (IBIS 2019) Best Student Presentation Award
  • NeurIPS 2019 Travel Award
• Education:
  • Doctor of Informatics. Kyoto Unviersity. 2021-2024.
    • Doctor Thesis: User-Side Realization [arXiv]
  • Master of Informatics. Kyoto University. 2019-2021.
  • Bachelor of Engineering. Kyoto University. 2015-2019.
• Activities:
  • ACM-ICPC World Finals 2020 Coach
  • ACM-ICPC World Finals 2019 Contestant
  • ACM-ICPC Asia Jakarta Regional Contest 2018 2nd place (Gold Medal)
  • International Olympiad in Informatics 2018 Host Technical Comittee
  • International Olympiad in Informatics 2017 Deputy Leader
  • International Olympiad in Informatics 2014 Bronze Medal
  • Japanese Olympiad in Informatics 2014 Gold Medal
• GitHub / Google Scholar / dblp / Twitter / blog
• Contact: joisinoo ζ*‘ヮ’)ζ gmail.com (Please replace ζ*‘ヮ’)ζ with @)