1. 基調構造を利用したグラフクラスタリングの高速化 塩川, 浩昭, 天笠, 俊之, 北川, 博之 第12回データ工学と情報マネジメントに関するフォーラム (DEIM2020) (2020)
2. L-BiX: Incremental Sliding-Window Aggregation over Data Streams Using Linear Bidirectional Aggregating Indexes Savong, Bou, Hiroyuki, Kitagawa, Toshiyuki, Amagasa Knowledge and Information Systems 2020 (2020)
3. Experimental Challenges for Reduced Genomes: The Cell Model Escherichia coli ASHINO, Kazuha, SUGANO, Kenta, AMAGASA, Toshiyuki, YING, BEIWEN Microorganisms 8 (1) (2019)
4. Incentive Design for Crowdsourced Development of Selective AI for Human and Machine Data Processing: A Case Study Hayashi, Masafumi, Kobayashi, Masaki, Matsubara, Masaki, Amagasa, Toshiyuki, Morishima, Atsuyuki Proceedings of 2019 IEEE International Conference on Big Data (Big Data) 4596 - 4601 (2019)
5. FPGA-based SPARQL query acceleration Niki, Mirai, Yamaguchi, Yoshiki, Amagasa, Toshiyuki Asia Pacific Conference on Robot IoT System Development and Platform 1 - 2 (2019)
6. A modular approach for efficient simple question answering over knowledge bas Buzaaba, Happy, Amagasa, Toshiyuki 30th International Conference on Database and Expert Systems Applications (DEXA 2019)(2) 237 - 246 (2019)
7. 宇宙機関連異種テキストデータからの知識発見の試み 森,健史, 大久保,梨思子, 植田,泰士, 片平,真史, 天笠,俊之 WebDB Forum 2019論文集 (2019) 77 - 80 (2019)
8. FPGAによるSPARQL問合せの高速化 仁木, 美来, 山口, 佳樹, 天笠, 俊之 情報科学技術フォーラム講演論文集 2 1 - 6 (2019)
9. Accelerating Regular Path Queries using FPGA Miura, Kento, Toshiyuki, Amagasa, Hiroyuki, Kitagawa 10th International Workshop on Accelerating Analytics and Data Management Systems Using Modern Processor and Storage Architectures, in conjunction (ADMS2019) 1 - 8 (2019)
10. Scaling Fine-grained Modularity Clustering for Massive Graphs Hiroaki, Shiokawa, Toshiyuki, Amagasa, Hiroyuki, Kitagawa Proceedings of the 28th International Joint Conference on Artificial Intelligence (IJCAI2019) (2019)

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