| 2026 | FM | SAPSE-Synergy: Balancing Formal Soundness and Empirical Coverage in Neural Theorem Proving. | Minrui Chen, Huidong Jiang, Hiroto Saigo |
| 2024 | ICPRAM | A Branch-and-Bound Approach to Efficient Classification and Retrieval of Documents. | Kotaro Ii, Hiroto Saigo, Yasuo Tabei |
| 2024 | ICPRAM | Benchmarking a Wide Range of Unsupervised Learning Methods for Detecting Anomaly in Blast Furnace. | Kendai Itakura, Dukka Bahadur, Hiroto Saigo |
| 2020 | ICPR | Automatically mining Relevant Variable Interactions Via Sparse Bayesian Learning. | Ryoichiro Yafune, Daisuke Sakuma, Mirai Takayanagi, Yasuo Tabei, Noritaka Saito, Hiroto Saigo |
| 2020 | PAKDD | Context-Aware Latent Dirichlet Allocation for Topic Segmentation. | Wenbo Li, Tetsu Matsukawa, Hiroto Saigo, Einoshin Suzuki |
| 2018 | ICDM | Entire Regularization Path for Sparse Nonnegative Interaction Model. | Mirai Takayanagi, Yasuo Tabei, Hiroto Saigo |
| 2016 | KDD | Scalable Partial Least Squares Regression on Grammar-Compressed Data Matrices. | Yasuo Tabei, Hiroto Saigo, Yoshihiro Yamanishi, Simon J. Puglisi |
| 2009 | SDM | A Bayesian Approach to Graphy Regression with Relevant Subgraph Selection. | Silvia Chiappa, Hiroto Saigo, Koji Tsuda |
| 2008 | ICDM | Iterative Subgraph Mining for Principal Component Analysis. | Hiroto Saigo, Koji Tsuda |
| 2008 | ICPR | Regression with interval output values. | Hisashi Kashima, Kazutaka Yamasaki, Akihiro Inokuchi, Hiroto Saigo |
| 2008 | KDD | Partial least squares regression for graph mining. | Hiroto Saigo, Nicole Krmer, Koji Tsuda |