Journal

• 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.
• Yuma Dose, Shuichiro Haruta, and Takahiro Hara INCL: A Graph-based Recommendation Model Using Contrastive Learning for Inductive Scenario 情報処理学会論文誌, volume 65, number 11, pages 1-9, November 2024.
• Ryuichiro Okuda, Qingxin Xia, Takuya Maekawa, Takahiro Hara, and Sozo Inoue Activity Prediction Method for Nursing Care Records with Missing Entries International Journal of Activity and Behavior Computing, pages 1-17, 2024.
• Heng Zhou and Takuya Maekawa Predicting Signal Reception Information from GNSS Satellites in Indoor Environments without Site Survey: Towards Opportunistic Indoor Positioning based on GNSS Fingerprinting Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT), volume 8, Issue 3, number 105, 2024.
• Ryoma Otsuka, Naoya Yoshimura, Kei Tanigaki, Shiho Koyama, Yuichi Mizutani, Ken Yoda, and Takuya Maekawa Exploring deep learning techniques for wild animal behaviour classification using animal‐borne accelerometers Methods in Ecology and Evolution (MEE), March 2024.
• Kei Tanigaki, Otsuka Ryoma, Aiyi Li, Hatano Yota, Yuanzhou Wei, Koyama Shiho, Ken Yoda, and Takuya Maekawa Automatic recording of rare behaviors of wild animals using video bio-loggers with on-board light-weight outlier detector PNAS Nexus (PNAS Nexus), volume 3, number 1, page pgad447, January 2024.
• 海保 拓真, 原 隆浩, 黒川 茂莉, 米川 慧, 天方 大地, 前川 卓也 異種ドメインのユーザ・アイテムクラスタ情報を用いたペアワイズ学習に基づく購買予測手法 情報処理学会論文誌, volume 65, number 1, pages 230-240, 2024年1月.
• Yihong Zhang and Takahiro Hara Joint Knowledge Graph Approach for Event Participant Prediction with Social Media Retweeting Knowledge and Information Systems, volume 66, number 3, pages 2115-2133, 2024.

International Conference

• Kentaro Shiga, Shuichiro Haruta, Zhi Li, and Takahiro Hara Domain Adaptation Utilizing Texts and Visions for Cross-domain Recommendations with No Shared Users Proceedings of IEEE International Conference on Machine Learning and Applications (ICMLA), pages 17-24, 2024.
• Yuma Dose, Shuichiro Haruta, Yihong Zhang, and Takahiro Hara Hypergraph Contrastive Learning with Graph Structure Learning for Recommendation Proceedings of IEEE International Conference on Machine Learning and Applications (ICMLA), pages 416-423, 2024.
• Shengzhe Jiao, Yihong Zhang, Yuanyuan Wang, Shingo Mabu, Haoyang Xia, and Takahiro Hara Multi-modal Contrastive Learning for Medical Image Classification with Limited Training Data Proceedings of IEEE International Conference on Machine Learning and Applications (ICMLA), pages 1083-1088, 2024.
• 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.
• Ryuichiro Okuda, Qingxin Xia, Takuya Maekawa, Takahiro Hara, and Sozo Inoue Preliminary Investigation of Activity Prediction in Nursing Homes using Activity History with Erroneous Time Stamps Proceedings of Interpretable, Inclusive, and Immersive Interaction for Ubiquitous AI-infused Physical Systems, pages 851–855,2024.
• 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.
• 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.**
• Daichi Amagata Independent Range Sampling on Interval Data Proceedings of the IEEE International Conference on Data Engineering (ICDE), pages 449–461, 2024.