Journal

• Yoshiyuki Maekawa, Shuichiro Haruta, Yihong Zhang, and Takahiro Hara A News Recommendation Framework Utilizing GPT-Based Information Extension and Similarity-Based Augmentation ACM SIGAPP Applied Computing Review, volume 25, number 4, pages 5-17, 2025.
• Yuma Dose, Shuichiro Haruta, Yihong Zhang, and Takahiro Hara HGCL: A Hypergraph Contrastive Learning Framework with Graph Structure Learning for Recommendation 情報処理学会論文誌, volume 33, pages 1191-1200, December 2025.
• Ryoma Otsuka, Hibiki Sugiyama, Yuichi Mizutani, Ken Yoda, and Takuya Maekawa Real-Time Behaviour Recognition on Bio-Loggers Enables Autonomous Audio Playback Experiments in Free-Ranging Seabirds Ecology and Evolution, volume 15, number 8, article e71832, 2025.
• Yihong Zhang, Takahiro Hara, and Lina Yao Disentangling Political Bias in Social Media Data through Multi-task Embedding Learning IEEE Transactions on Computational Social Systems, volume xx, number xx, pages xx, 2025.
• 植村 玲央, 天方 大地, 原 隆浩 マルチメトリック空間における効率的な近似最近傍探索 情報処理学会論文誌データベース, volume 66, number 11, pages 1473-1485, 2025年11月.
• Yihong Zhang and Takahiro Hara Multi-role social behavior modeling in content-free news recommendation World Wide Web, volume 28, number 33, article number 3, 2025.
• Yuchen Ji, Daichi Amagata, Yuya Sasaki, and Takahiro Hara PolyCard: A Learned Cardinality Estimator for Intersection Queries on Spatial Polygons Journal of Intelligent Information Systems, volume 63, pages 873-891, 2025.
• Ji Yuchen, 天方 大地, 佐々木 勇和, 原 隆浩 動的空間データに対する効率的な学習型カーディナリティ推定  電子情報通信学会和文論文誌, volume J108-D, number 5, pages 229-238, 2025年5月
• Yihong Zhang and Takahiro Hara Extracting Political Interest Model from Interaction Data Based on Novel Word-level Bias Assignment ACM Transactions on Intelligent Systems and Technology, volume 16, number 1, pages 18:1-21, 2025
• Yihong Zhang, Masumi Shirakawa, and Takahiro Hara Word-Level Political Sentiments Inferred from Social Media and Application in Recommendation Diversification ACM Transactions on the Web, volume 19, number 1, pages 4:1-26, 2025.
• Shengzhe Jiao, Yihong Zhang, and Takahiro Hara Multi-task Multi-modal Graph Neural Network for Recommender System Knowledge and Information Systems, volume 67, number 9, pages 8059-8084, 2025

International Conference

• Reon Uemura and Daichi Amagata. IVF++: A Flexible and Efficient Algorithm for Approximate Nearest Neighbor Search under Attribute Constraint Proceedings of the IEEE International Conference on Big Data, pages xxx-xxx, 2025. Workshop on New Generation Databases and Data-Empowering Technologies in Big Data Era
• Yoshiyuki Sone, Yuma Dose, Takahiro Hara, Takuya Maekawa, Kazuki Shimazaki, Teppei Seguchi, Takayuki Kikuchi, and Kenshiro Kato MMGSL: MultiModal Graph Structure Learning for Recommendation Proceedings of the IEEE International Conference on Big Data, pages xxx-xxx, 2025 The 5th IEEE Big Data Workshop on Multimodal AI
• Aoran Chen, Yuchen Ji, Shengzhe Jiao, Yihong Zhang, and Takahiro Hara Backbone-based Neighbor Transferring Proximity Graph for Fast Inner Product Retrieval Proceedings of the 26th International Conference on Web Information Systems Engineering (WISE), pages xxx-xxx, 2025
• Shengzhe Jiao, Yihong Zhang, Aoran Chen, and Takahiro Hara LLM Augmentation Enhanced Counterfactual Attention for Graph-based Recommender System Proceedings of the IEEE/WIC International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT), pages xxx-xxx, 2025
• Hongyin Qiao, Qingxin Xia, Hamada Rizk, and Takuya Maekawa Preliminary Investigation of Knowledge Transfer from Skeleton to IMU for Robust Activity Recognition in Industrial Settings Proceedings of the ACM International Joint Conference on Pervasive and Ubiquitous Computing, pages 221-225, 2025
• Guanyu Cao, Kazuya Ohara, Yasue Kishino, Takuya Maekawa Toward Cross-Modal Generalization: Learning Without Direct Supervision for Wi-Fi CSI-Based Depth Imaging Proceedings of the International Conference on Mobile Computing and Ubiquitous Network (ICMU), pages 1-8, 2025.
• Jo Masuda, Yuma Dose, Takahiro Hara, Takuya Maekawa, Kazuki Shimazaki, Teppei Seguchi, Takayuki Kikuchi, and Kenshiro Kato Dynamic Peak-Aware Loss for Zero-Shot Occupancy Estimation Proceedings of the IEEE International Conference on Tools with Artificial Intelligence (ICTAI), pages 89-96, 2025.