Journals

• Daichi Amagata and Takahiro Hara. Efficient Density-Peaks Clustering Algorithms on Static and Dynamic Data in Euclidean Space ACM Transactions on Knowledge Discovery from Data (TKDD), volume 18, number 1, pages 2:1-2:27, 2024. Extended version of SIGMOD2021. Codes are here and here.

Conferences

• Reon Uemura, Daichi Amagata, and Takahiro Hara. An Efficient Framework for Approximate Nearest Neighbor Search on High-dimensional Multi-metric Data Proceedings of the International Conference on Similarity Search and Applications (SISAP), pages 3-17, 2024. Code is here.
• Yuchen Ji, Daichi Amagata, Yuya Sasaki, and Takahiro Hara. SAFE: Sampling-assisted Fast Learned Cardinality Estimation for Dynamic Spatial Data Proceedings of the International Conference on Database and Expert Systems Applications (DEXA), pages 201-216, 2024.
• Daichi Amagata, Junya Yamada, Yuchen Ji, and Takahiro Hara. Efficient Algorithms for Top-k Stabbing Queries on Weighted Interval Data Proceedings of the International Conference on Database and Expert Systems Applications (DEXA), pages 146-152, 2024. Full version is here. Code is here.
• Zhi Li, Daichi Amagata, Yihong Zhang, Takahiro Hara, Shuichiro Haruta, Kei Yonekawa, and Mori Kurokawa. Mutual Information-based Preference Disentangling and Transferring for Non-overlapped Multi-target Cross-domain Recommendations Proceedings of the ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), pages 2124-2133, 2024.
• Ryo Shirai, Ryo Imai, Seng Pei Liew, Daichi Amagata, Tsubasa Takahashi, and Takahiro Hara. **Estimating Visited Stores through Positive-Unlabeled Learning Proceedings of International Conference on Database Systems for Advanced Applications (DASFAA), pages 377-389, 2024. Industrial Track.**
• Daichi Amagata. Independent Range Sampling on Interval Data Proceedings of the IEEE International Conference on Data Engineering (ICDE), pages 449–461, 2024. Longer version is here. Code is here. Slide is here. Poster is here.
• Daichi Amagata. Fair k-center Clustering with Outliers Proceedings of the International Conference on Artificial Intelligence and Statistics (AISTATS), pages :10–18, 2024. Code is here. Poster is here.