Journal

• Daichi Amagata and Takahiro Hara Reverse Maximum Inner Product Search: Formulation, Algorithms, and Analysis ACM Transactions on the WEB (TWEB), volume 17, number 4, pages 26:1-26:23, 2023.
• Kohei Hirata, Daichi Amagata, Sumio Fujita, and Takahiro Hara Categorical Diversity-Aware Inner Product Search IEEE Access, volume 11, pages 2586-2596, 2023.
• Teerawat Kumrai, Joseph Korpela, Yizhe Zhang, Kazuya Ohara, Tomoki Murakami, Hirantha Abeysekera, and Takuya Maekawa Automated construction of Wi-Fi-based indoor logical location predictor using crowd-sourced photos with Wi-Fi signals Pervasive and Mobile Computing (PMC), volume 89, page 101742, 2023.
• Heng Zhou and Takuya Maekawa GPS-assisted Indoor Pedestrian Dead Reckoning Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT), volume 6, number 4, pages 166:1166:36, 2023.
• Jaime Morales, Naoya Yoshimura, Qingxin Xia, Atsushi Wada, Yasuo Namioka, and Takuya Maekawa MGA-Net+: Acceleration-based packaging work recognition using motif-guided attention networks Pervasive and Mobile Computing (PMC), volume 88, page 101735, 2023.
• Yihong Zhang, Xiu Susie Fang, and Takahiro Hara Evolving Social Media Background Representation with Frequency Weights and Co-occurrence Graphs ACM Transactions on Knowledge Discovery from Data, volume 17, number 7, pages 95:1-95:17, 2023.
• Panote Siriaraya, Yihong Zhang, Péter Jeszenszky, Yukiko Kawai, and Adam Jatowt A City-Wide Examination of Fine-Grained Human Emotions through Social Media Analysis PlOS ONE, volume 18, number 2, page e0279749, 2023.
• Yihong Zhang and Takahiro Hara Explainable Integration of Social Media Background in a Dynamic Neural Recommender ACM Transactions on Knowledge Discovery from Data, volume 17, number 3, pages 40:1-40:14, 2023.

International Conference

• Rikuto Tsubouchi, Takahiro Hara, Kei Yonekawa, and Shuichiro Haruta Unvisited Out-Of-Town POI Recommendation with Simultaneous Learning of Multiple Regions Proceedings of IEEE International Conference on Big Data (BigData), pages 915-924, 2023.
• Yuma Dose, Shuichiro Haruta, and Takahiro Hara A Graph-Based Recommendation Model Using Contrastive Learning for Inductive Scenario Proceedings of IEEE International Conference on Machine Learning and Applications (ICMLA), pages 174-181, 2023.
• Shengzhe Jiao, Yihong Zhang, and Takahiro Hara Multi-Modal Relational Side Information Graph Attention Networks for Recommender System Proceedings of IEEE International Conference on Machine Learning and Applications (ICMLA), pages 1012-1017, 2023.
• Zhi Li, Ryu Takeda, and Takahiro Hara Meta-domain Adversarial Contrastive Learning for Alleviating Individual Bias in Self-sentiment Predictions Annual Conference of the International Speech Communication Association (INTERSPEECH), pages 2428-2432, 2023.
• Kazuyoshi Aoyama, Daichi Amagata, Sumio Fujita, and Takahiro Hara Simpler is Much Faster: Fair and Independent Inner Product Search Proceedings of the ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), pages 2379–2383, 2023.
• Daichi Amagata, Alejandro Ramos, Ryo Shirai, and Takahiro Hara Fast Algorithm for Embedded Order Dependency Validation Proceedings of the International Conference on Scientific and Statistical Database Management (SSDBM), pages 17:1-17:4, 2023.
• Shunya Nishio, Daichi Amagata, and Takahiro Hara Approximate Reverse Top-k Spatial-Keyword Queries Proceedings of the IEEE International Conference on Mobile Data Management (MDM), pages 96-105, 2023.
• Yue Zhao, Yihong Zhang, Daichi Amagata, and Takahiro Hara POI Recommendation by Learning Short-, Long- and Mid-Term Preferences through GNN Proceedings of the IEEE International Conference on Mobile Data Management (MDM), pages 1-10, 2023.
• Keizo Hori, Yuya Sasaki, Daichi Amagata, Yuki Murosaki, and Makoto Onizuka Learned Spatial Data Partitioning Proceedings of the International Workshop on Exploiting Artificial Intelligence Techniques for Data Management (aiDM), pages 3:1-3:8, 2023.
• Hao Niu, Duc Nguye, Kei Yonekawa, Mori Kurokawa, Chihiro Ono, Daichi Amagata, Takuya Maekawa, and Takahiro Hara User-irrelevant Cross-domain Association Analysis for Cross-domain Recommendation with Transfer Learning Proceedings of the ACM Workshop on Intelligent Cross-Data Analysis and Retrieval (ICDAR), pages 37-45, 2023.