| 2020 | DSAA | Coordinate Descent Method for Log-linear Model on Posets. | Shota Hayashi, Mahito Sugiyama, Shin Matsushima |
| 2019 | KDD | Scaling Multinomial Logistic Regression via Hybrid Parallelism. | Parameswaran Raman, Sriram Srinivasan, Shin Matsushima, Xinhua Zhang, Hyokun Yun, S. V. N. Vishwanathan |
| 2017 | SDM | Sparse Graphical Modeling via Stochastic Complexity. | Kohei Miyaguchi, Shin Matsushima, Kenji Yamanishi |
| 2016 | DSAA | Web Behavior Analysis Using Sparse Non-Negative Matrix Factorization. | Akihiro Demachi, Shin Matsushima, Kenji Yamanishi |
| 2016 | DSAA | Traffic Risk Mining Using Partially Ordered Non-Negative Matrix Factorization. | Taito Lee, Shin Matsushima, Kenji Yamanishi |
| 2016 | EMNLP | WordRank: Learning Word Embeddings via Robust Ranking. | Shihao Ji, Hyokun Yun, Pinar Yanardag, Shin Matsushima, S. V. N. Vishwanathan |
| 2015 | DSAA | Traffic risk mining from heterogeneous road statistics. | Koichi Moriya, Shin Matsushima, Kenji Yamanishi |
| 2012 | ICDM | Healing Truncation Bias: Self-Weighted Truncation Framework for Dual Averaging. | Hidekazu Oiwa, Shin Matsushima, Hiroshi Nakagawa |
| 2012 | KDD | Linear support vector machines via dual cached loops. | Shin Matsushima, S. V. N. Vishwanathan, Alexander J. Smola |
| 2010 | SDM | Exact Passive-Aggressive Algorithm for Multiclass Classification Using Support Class. | Shin Matsushima, Nobuyuki Shimizu, Kazuhiro Yoshida, Takashi Ninomiya, Hiroshi Nakagawa |