| 2019 | AINA | Estimation of Emotion Type and Intensity in Japanese Tweets Using Multi-task Deep Learning. | Kazuki Sato, Tomonobu Ozaki |
| 2019 | IJCNN | Predictable Uncertainty-Aware Unsupervised Deep Anomaly Segmentation. | Kazuki Sato, Kenta Hama, Takashi Matsubara, Kuniaki Uehara |
| 2014 | ISITA | Error performance for non-destructive quantum receiver of M-ary coherent-state signals. | Kazuki Sato, Kenji Nakahira, Shogo Usami, Tsuyoshi Sasaki Usuda |
| 2006 | PERCOM | MANET Protocol for Information Gathering from Disaster Victims. | Takaaki Umedu, Hiroaki Urabe, Jun Tsukamoto, Kazuki Sato, Teruo Higashino |
| 2005 | MASCOTS | MobiREAL Simulator Evaluating MANET Applications in Real Environments. | Kazuki Konishi, Kumiko Maeda, Kazuki Sato, Akiko Yamasaki, Hirozumi Yamaguchi, Teruo Higashino, Keiichi Yasumoto |
| 2005 | MSWIM | Getting urban pedestrian flow from simple observation: realistic mobility generation in wireless network simulation. | Kumiko Maeda, Kazuki Sato, Kazuki Konishi, Akiko Yamasaki, Akira Uchiyama, Hirozumi Yamaguchi, Keiichi Yasumoto, Teruo Higashino |