Journal

• Kohei Hirata, Daichi Amagata, and Takahiro Hara Cardinality Estimation in Inner Product Space IEEE Open Journal of the Computer Society, volume 3, pages 208-216, 2022.
• Zhi Li, Daichi Amagata, Yihong Zhang, Takuya Maekawa, Takahiro Hara, Kei Yonekawa, and Mori Kurokawa HML4Rec: Hierarchical Meta-Learning for Cold-Start Recommendation in Flash Sale E-commerce Knowledge-based Systems, volume 255, pages 109674, 2022.
• Ryosuke Taniguchi, Daichi Amagata, and Takahiro Hara Efficient Retrieval of Top-k Weighted Triangles on Static and Dynamic Spatial Data IEEE Access, volume 10, pages 55298-55307, 2022
• Daichi Amagata, Makoto Onizuka, and Takahiro Hara Fast, Exact, and Parallel-friendly Outlier Detection Algorithms with Proximity Graph in Metric Spaces The VLDB Journal, volume 31, number 4, pages 797-821, 2022.
• Shunya Nishio, Daichi Amagata, and Takahiro Hara Lamps: Location-Aware Moving Top-k Pub/Sub IEEE Transactions on Knowledge and Data Engineering (TKDE), volume 34, number 1, pages 352-364, 2022.
• Kei Tanigaki, Teoh, Chuin, Tze, Naoya Yoshimura, Takuya Maekawa, and Takahiro Hara Predicting Performance Improvement of Human Activity Recognition Model by Additional Data Collection Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT), vol.6, no.3, pp.1-33, 2022.
• Yuki Nishino, Takuya Maekawa, and Takahiro Hara Few-shot and Weakly Supervised Repetition Counting With Body-Worn Accelerometers Frontiers in Computer Science, volume 4, page.84, 2022.
• Naoya Yoshimura, Takuya Maekawa, Takahiro Hara, Atsushi Wada, and Yasuo Namioka Acceleration-based Activity Recognition of Repetitive Works with Lightweight Ordered-work Segmentation Network Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT), volume 6, number 2, page.86, 2022.
• 堀 敬三, 佐々木 勇和, 天方 大地, 鬼塚 真 深層強化学習を用いた空間データパーティションニング手法の提案 日本データベース学会 論文誌 , volume 20-J, article number 11, 2022年3月.

International Conference

• Daichi Amagata Scalable and Accurate Density-Peaks Clustering on Fully Dynamic Data Proceedings of the IEEE International Conference on Big Data, pages 445-454, 2022.
• Zhi Li, Daichi Amagata, Yihong Zhang, Takahiro Hara, Shuichiro Haruta, Kei Yonekawa, and Mori Kurokawa Debiasing Graph Transfer Learning via Item Semantic Clustering for Cross-Domain Recommendations Proceedings of the IEEE International Conference on Big Data, pages 762-769, 2022
• Ryosuke Taniguchi, Daichi Amagata, and Takahiro Hara Retrieving Top-N Weighted Spatial k-cliques Proceedings of the IEEE International Conference on Big Data, pages 4942-4951, 2022
• Daichi Amagata, Yusuke Arai, Sumio Fujita, and Takahiro Hara Learned k-NN Distance Estimation Proceedings of the ACM SIGSPATIAL International Conference on Advances in Geographic Information System (SIGSPATIAL), pages 1:1-1:4, 2022.
• Kohei Hirata, Daichi Amagata, Sumio Fujita, and Takahiro Hara Solving Diversity-Aware Maximum Inner Product Search Efficiently and Effectively Proceedings of the ACM Recommender Systems Conference (RecSys), pages 198-207, 2022.
• Zhi Li, Daichi Amagata, Takuya Maekawa, Kei Yonekawa, Mori Kurokawa, and Takahiro Hara Trends-enhanced Attention & Memory Networks for E-commerce Recommendation SIGIR Workshop On eCommerce.
• Ryosuke Taniguchi, Daichi Amagata, and Takahiro Hara Efficient Retrieval of Top-k Weighted Spatial Triangles Proceedings of International Conference on Database Systems for Advanced Applications (DASFAA), pages 224-231, 2022.
• Yuchen Ji, Daichi Amagata, Yuya Sasaki, and Takahiro Hara A Performance Study of One-dimensional Learned Cardinality Estimation Proceedings of International Workshop on Design, Optimization, Languages and Analytical Processing of Big Data (DOLAP), pages 86-90, 2022.
• Qingxin Xia, Atsushi Wada, Takanori Yoshii, Yasuo Namioka, and Takuya Maekawa Comparative Analysis of High- and Low-Performing Factory Workers with Attention-Based Neural Networks Proceedings of International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services (MobiQuitous), 2022.