Publications (2025)

Journal
Conference
Poster Presentation (International)

Journal

1.	Shosuke Suzuki, Kazumasa Horie, Toshiyuki Amagasa, and Naoya Fukuda, "Genomic language models with k-mer tokenization strategies for plant genome annotation and regulatory element strength prediction", Plant Molecular Biology, Springer, Vol. 115, Article No. 100, 18 pages, July 2025.
2.	Shun KAWAKAMI, Savong BOU, and Toshiyuki AMAGASA, "Efficient Processing of Multiple Continuous Window Aggregations over Streams", IEICE Trans. Info. & Syst., Vol. 108, No. 8, pp. 855-862, 2025.
3.	Masaya Yamada, Hiroyuki Kitagawa, Salman Ahmed Shaikh, Toshiyuki Amagasa, and Akiyoshi Matono, "LPStream: Fine-grained Lazy Provenance for Stream Processing," Proceedings of the ACM on Management of Data (PACMMOD), Vol. 3, No. 4 (SIGMOD), Article 254, September 2025. DOI: https://doi.org/10.1145/3749172 Presented at ACM SIGMOD International Conference on Management of Data (ACM SIGMOD 2026), Bengaluru, India, May 31 - June 5, 2026.
4.	Takdir, Hiroyuki Kitagawa, and Toshiyuki Amagasa, "Local Recovery and Partial Snapshot in Distributed Stateful Stream Processing", Knowledge and Information Systems, Vol. 67, pp. 9407-9435, Springer, June 2025. (Impact Factor 2.5 (2023)) DOI: https://doi.org/10.1007/s10115-025-02509-z
5.	Yuuki Ohmori, Hiroyuki Kitagawa, Toshiyuki Amagasa, and Akiyoshi Matono, "Integration of Knowledge Bases and External Sources Using User-defined Predicates and Adaptive Entity Linking", World Wide Web, Vol. 28, Article number 44, Springer, June 2025. (Impact Factor 2.7 (2023)) DOI: https://doi.org/10.1007/s11280-025-01355-x

Conference

1.	Kosuke Yamasaki, Tadashi Masuda, and Toshiyuki Amagasa, "Parallel and Distributed SQL/PGQ Query Processing for Property Graphs", The 27th International Conference on Big Data Analytics and Knowledge Discovery (DaWaK2025), Bangkok, pp. 167-181, Thailand, August 25-27, 2025.
2.	Yudai Ogura, Tadashi Masuda, and Toshiyuki Amagasa, "Efficient Source Selection for Federated SPARQL Queries using Adjacent Predicate Information", The 36th International Conference on Database and Expert Systems Applications (DEXA2025), Vol. 2, pp. 115-129, Bangkok, Thailand, August 25-27, 2025.
3.	Shun Kawakami, Toshiyuki Amagasa, and Savong Bou, "Explainable Time Series Anomaly Detection by Dynamic Mode Decomposition", The 36th International Conference on Database and Expert Systems Applications (DEXA2025), Vol. 1, pp. 169-183, Bangkok, Thailand, August 25-27, 2025.
4.	Ushtar Ali, Steven Lynden, Akiyoshi Matono, and Toshiyuki Amagasa, "Entropy-Guided Probing for Predicting LLM Hallucinations with Knowledge Graph Features", The 36th International Conference on Database and Expert Systems Applications (DEXA2025), Vol. 1, pp. 68-82,Bangkok, Thailand, August 25-27, 2025.
5.	John Bosco Mugeni, Steven J. Lynden, Toshiyuki Amagasa, Akiyoshi Matono, “AssistEM: Domain Instruction Tuning for Enhanced Entity Matching", The 29th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2025), Vol. 5, pp. 115-127, Sydney, Australia, June 10-13, 2025.
6.	Savong Bou, Toshiyuki Amagasa, and Hiroyuki Kitagawa, "O(1)-Time Complexity for Fixed Sliding-window Aggregation over Out-of-order Data Streams", Proceedings of The 41st IEEE International Conference on Data Engineering (ICDE 2025), TKDE Poster Session Track, pp. 4704-4705, Hong Kong, China, May 19-23, 2025.
7.	Fumiya Sano, Taisuke Kokusho, Kazumasa Horie, Junya Furuki, Yoko Suzuki, Takashi Abe and Hiroyuki Kitagawa, (Best Paper Award) "Real-time Automatic Detection of Definite-REM Sleep", Proc. 13th IEEE International Conference on Healthcare Informatics (IEEE ICHI2025), pp. 137-147, Rende, Italy, June 18-21, 2025. (Acceptance ratio 27.5%) DOI: https://doi.org/10.1109/ICHI64645.2025.00024
8.	Vijdan Khalique, Zhengting Wang, Kazumasa Horie, Fusae Kawana, Toshio Kokubo, Masashi Yanagisawa and Hiroyuki Kitagawa, "Label-Efficient Self-Supervised Learning for Sleep Stage Classification Using Multi-Channel In-Home EEG Data", Proc. 13th IEEE International Conference on Healthcare Informatics (IEEE ICHI2025), pp. 174-183, Rende, Italy, June 18-21, 2025. (Acceptance ratio 27.5%) DOI: https://doi.org/10.1109/ICHI64645.2025.00028
9.	Ryuhei Kawabata, Kazumasa Horie, Philippe Lalanda and Hiroyuki Kitagawa, "Developing Switching Mechanism to Address Challenging Subjects in Sleep Stage Scoring", Proc. 13th IEEE International Conference on Healthcare Informatics (IEEE ICHI2025), pp. 501-507, Rende, Italy, June 18-21, 2025. (Acceptance ratio 30.95%) DOI: https://doi.org/10.1109/ICHI64645.2025.00064
10.	Juan Carlos Neira Almanza, Leo Ota, Kazumasa Horie, Fusae Kawana, Toshio Kokubo, Masashi Yanagisawa, and Hiroyuki Kitagawa, "Applicability of LSTM and Double Decoders on U-Net models for Sleep and Arousal Scoring Using In-Home EEG Signals", Proc. 47th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (IEEE EMBC2025), Copenhagen, Denmark, July 14-17, 2025. (to appear)
11.	Takdir, Salman Ahmed Shaikh, Akiyoshi Matono, Hiroyuki Kitagawa, and Toshiyuki Amagasa, "StreamPlane: Flexible Reconfiguration of Streaming Application Runtime Topology", Proc. 19th ACM International Conference on Distributed and Event-based Systems (DEBS 2025), pp. 251-254, Gothenburg, Sweden, June 2025.
12.	Salman Ahmed Shaikh, Komal Mariam, Hiroyuki Kitagawa, and Akiyoshi Matono, “TraSGen: A Distributed, Scalable and Continuous Trajectory Stream Generator”, Proc. 8th ACM SIGSPATIAL International Workshop on Geospatial Simulation (GeoSIM). Co-located with 33rd ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL 2025),Minneapolis, MN, November 3, 2025. (to appear)
13.	Yuuki Ohmori, Hiroyuki Kitagawa, Toshiyuki Amagasa, and Akiyoshi Matono, “Integration of Knowledge Bases and External Sources Incorporating Uncertainty in Entity Linking”, Proc. 27th International Conference on Information Integration and Web Intelligence (iiWAS2025), Matsue, Japan, December 8-10, 2025. (to appear)

Poster Presentation (International)

1.	Larissa Shimomura, George Fletcher, Hiroaki Shiokawa, Toshiyuki Amagasa, and Md Abu Marjan., “Towards Documentation Guidelines for Property Graphs”, 8th Joint Workshop on Graph Data Management Experiences & Systems (GRADES) and Network Data Analytics (NDA) (GRADES-NDA 2025) in conjunction with SIGMOD/PODS 2025, Berlin, Germany, June 27, 2025. (Position Paper)
2.	Takdir, Salman Ahmed Shaikh, Akiyoshi Matono, Hiroyuki Kitagawa, Toshiyuki Amagasa, "StreamPlane: Flexible Reconfiguration of Streaming Application Runtime Topology", 19th ACM International Conference on Distributed and Event-based Systems (DEBS 2025), pp. 251-254, Gothenburg, Sweden, June 10-13 2025.
3.	Savong Bou, Toshiyuki Amagasa, Hiroyuki Kitagawa:, "O(1)-Time Complexity for Fixed Sliding-Window Aggregation Over Out-of-Order Data Streams", 41st IEEE International Conference on Data Engineering (ICDE 2025), pp. 4704-4705, Hong Kong SAR, China, May 19-23, 2025. (Extended Abstract)