大阪大学大学院情報科学研究科の准教授です．
グラフデータ分析と管理，信頼される人工知能，モバイル・時空間データ分析と管理，情報処理技術の異分野適用に関する研究をしています．
2014年に大阪大学にて情報科学の博士を取得しました．
博士後期課程の学生を募集しています．

Selected Publication

1. Marcelo Arenas, Enrico Franconi, Olaf Hartig, Katja Hose, Laura Koesten, George Konstantinidis, Leonid Libkin, Wim Martens, Yuya Sasaki, Stefanie Scherzinger, Katherine Thornton, Hsiang-Yun Wu. Exploring Exploratory Querying [Vision]. Proceedings of the VLDB, 2025.
2. Konstantinos Skistsas, Yuya Sasaki, Davide Mottin, Panagiotis Karras. Mix & Match: Subgraph Matching for Absolute Coverage. Proceedings of the VLDB, 2025.
3. Mykola Pechenizkiy, Hilde Weerts, Cassio de Campos, Yuya Sasaki, Julia Stoyanovich. From Benchmarking to Understanding FairML, Proceedings of 28th European Conference on Artificial Intelligence and Applications (ECAI), Oct. 2025.
4. Yuya Sasaki, Panagiotis Karras. Mining Path Association Rules in Large Property Graphs, Proceedings of 33rd ACM International Conference on Information and Knowledge Management (CIKM), Oct. 2024.
5. Kazuki Nakajima, Yuya Sasaki, Sohei Tokuno, George Fletcher. Quantifying Gendered Citation Imbalance in Computer Science Conferences, Proceedings of 7th AAAI Conference on AI, Ethics, and Society (AIES), Oct. 2024.
6. Shohei Yamasaki*, Yuya Sasaki*, Panagiotis Karras, Makoto Onizuka. Holistic Prediction on a Time-Evolving Attributed Graph. The 61st Annual Meeting of the Association for Computational Linguistics (ACL), pp 13676-13694, Jul. 2023.
7. Seiji Maekawa, Koki Noda, Yuya Sasaki, Makoto Onizuka. Beyond Real-world Benchmark Datasets: An Empirical Study of Node Classification with GNNs. Thirty-sixth Conference on Neural Information Processing Systems (NeurIPS), Nov. 2022.
8. Yuya Sasaki, George Fletcher, and Makoto Onizuka. Language-aware Indexing for Conjunctive Path Queries. Proceedings of International Conference on Data Engineering (ICDE), pp. 661-673, May 2022.
9. Koji Matsuda, Yuya Sasaki, Chuan Xiao, and Makoto Onizuka. FedMe: Federated Learning via Model Exchange. Proceedings of SIAM International Conference on Data Mining (SDM), pp. 459-467, Apr. 2022.