| 2025 | AAAI | DCILP: A Distributed Approach for Large-Scale Causal Structure Learning. | Shuyu Dong, Michle Sebag, Kento Uemura, Akito Fujii, Shuang Chang, Yusuke Koyanagi, Koji Maruhashi |
| 2023 | WSC | An Iterative Analysis Method Using Causal Discovery Algorithms to Enhance ABM as a Policy Tool. | Shuang Chang, Takashi Kato, Yusuke Koyanagi, Kento Uemura, Koji Maruhashi |
| 2022 | PRIMA | Incorporating AI Methods in Micro-dynamic Analysis to Support Group-Specific Policy-Making. | Shuang Chang, Tatsuya Asai, Yusuke Koyanagi, Kento Uemura, Koji Maruhashi, Kotaro Ohori |
| 2018 | LREC | Chemical Compounds Knowledge Visualization with Natural Language Processing and Linked Data. | Kazunari Tanaka, Tomoya Iwakura, Yusuke Koyanagi, Noriko Ikeda, Hiroyuki Shindo, Yuji Matsumoto |
| 2012 | KES | Aggregation of News Articles, being Time-dependent on Particular Topic. | Yoshimune Tabuchi, Yusuke Koyanagi, Toyohide Watanabe |
| 2008 | PKAW | Clustering over Evolving Data Streams Based on Online Recent-Biased Approximation. | Wei Fan, Yusuke Koyanagi, Koichi Asakura, Toyohide Watanabe |