| 2026 | PAKDD | NANSDE-Net: A Neural SDE Framework for Generating Time Series with Memory. | Hiromu Ozai, Kei Nakagawa |
| 2026 | WSDM | Risk-Aware Utility Re-Ranking for Financial Asset Recommendation. | Keigo Sakurai, Takahiro Ogawa, Miki Haseyama, Anjyu Anan, Kei Nakagawa |
| 2025 | PRIMA | Modeling Hawkish-Dovish Latent Beliefs in Multi-agent Debate-Based LLMs for Monetary Policy Decision Classification. | Kaito Takano, Masanori Hirano, Kei Nakagawa |
| 2024 | IJCNN | Lf-Net:Generating Fractional Time-Series with Latent Fractional-Net. | Kei Nakagawa, Kohei Hayashi |
| 2024 | PRIMA | A Multi-agent Market Model Can Explain the Impact of AI Traders in Financial Markets-A New Microfoundations of GARCH Model. | Kei Nakagawa, Masanori Hirano, Kentaro Minami, Takanobu Mizuta |
| 2022 | DSAA | Fractional SDE-Net: Generation of Time Series Data with Long-term Memory. | Kohei Hayashi, Kei Nakagawa |
| 2021 | AAAI | Deep Portfolio Optimization via Distributional Prediction of Residual Factors. | Kentaro Imajo, Kentaro Minami, Katsuya Ito, Kei Nakagawa |
| 2020 | DSAA | RIC-NN: A Robust Transferable Deep Learning Framework for Cross-sectional Investment Strategy. | Kei Nakagawa, Masaya Abe, Junpei Komiyama |
| 2020 | IJCAI | RM-CVaR: Regularized Multiple β-CVaR Portfolio. | Kei Nakagawa, Shuhei Noma, Masaya Abe |
| 2020 | PKAW | Identification of B2B Brand Components and Their Performance's Relevance Using a Business Card Exchange Network. | Tomonori Manabe, Kei Nakagawa, Keigo Hidawa |