Alternating Optimization Method Based on Nonnegative Matrix Factorizations for Deep Neural Networks. - Tetsuya Sakurai; Akira Imakura; Yuto Inoue; Yasunori Futamura (ICONIP (4), 2016)

Parallel Implementation of the Nonlinear Semi-NMF Based Alternating Optimization Method for Deep Neural Networks. - Akira Imakura; Yuto Inoue; Tetsuya Sakurai; Yasunori Futamura (Neural Process. Lett., 2018)

Construction of new Griesmer codes of dimension 5. - Yuto Inoue; Tatsuya Maruta (Finite Fields Their Appl., 2019)

Geometric extending of divisible codes and construction of new linear codes. - Yuto Inoue; Tatsuya Maruta (Finite Fields Their Appl., 2021)

Development of Haptic Interface for Neurosurgical Simulators with Micro Scissors Module for Displaying the Cutting Force. - Teppei Tsujita; Yuto Inoue; Yutaka Takagi; Atsushi Konno; Satoko Abiko; Xin Jiang 001; Atsuhiro Nakagawa; Masaru Uchiyama (J. Robotics Mechatronics, 2022)

Feasibility of 8-Shaped Motion Test for Five-Axis Machining Center. - Yukitoshi Ihara; Souma Kajino; Yuto Inoue (Int. J. Autom. Technol., 2023)

Doubling Graph Traversal Efficiency to 198 TeraTEPS on the Supercomputer Fugaku. - Junya Arai; Masahiro Nakao; Yuto Inoue; Kanto Teranishi; Koji Ueno; Keiichiro Yamamura; Mitsuhisa Sato; Katsuki Fujisawa (SC, 2024)