Keita Kume, Doctor (Engineering)

Assistant Professor, Dept. of Information and Communications Engineering, Tokyo Institute of Technology

About me

Research Interests

  • Signal processing, mechine learning, inverse problem
  • Optimization (manifold optimization, nonsmooth optimization)

Education

  • March, 2024: Doctor's degree (Engineering), Tokyo Institute of Technology (supervisor: Prof. Isao Yamada)
  • March, 2021: Master's degree (Engineering), Tokyo Institute of Technology (supervisor: Prof. Isao Yamada)
  • March, 2019: Bachelor's degree (Engineering), Tokyo Institute of Technology (supervisor: Prof. Isao Yamada)

Work Experience

  • April, 2024-Present: Assistant Professor, Dept. of Information and Communications Engineering, Tokyo Institute of Technology
  • April, 2021-March, 2024: Research Fellow (DC1) of Japan Society for the Promotion of Scienece (JSPS)

Award

  • March, 2021: Outstanding master's student award (Tokyo Institute of Technology, Dept. of Information and Communications Engineering)
  • November, 2021: IEICE SIP Symposium, Young Researcher Encouragement Award

Publication

Preprint

  1. K. Kume and I. Yamada, "Adaptive Localized Cayley Parametrization for Optimization over Stiefel Manifold" arXiv.2305.17901. (arXiv)

Journal Paper (peer-reviewd)

  1. K. Kume and I. Yamada, "Adaptive Localized Cayley Parametrization for Optimization over Stiefel Manifold and Its Convergence Rate Analysis," IEEE Access, vol. 12, pp. 31312-31323, 2024. (official open access)
  2. K. Kume and I. Yamada, "Generalized left-localized Cayley parametrization for optimization with orthogonality constraints," Optimization, vol. 73, no. 4, pp. 1113-1159, 2022. (official open access, arXiv)

International Conference (peer-reviewed)

  1. K. Kume and I. Yamada, "A variable smoothing for nonconvexly constrained nonsmooth optimization with application to sparse spectral clustering," 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 9296-9300, 2024. (poster) (official access, arXiv)
  2. K. Kume and I. Yamada, "A global Cayley parametrization of Stiefel manifold for direct utilization of optimization mechanisms over vector spaces," 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 5554-5558, 2021. (poster) (official access)
  3. K. Kume and I. Yamada, "A Nesterov-type acceleration with adaptive localized Cayley parametrization for optimization over the Stiefel manifold," 2020 28th European Signal Processing Conference (EUSIPCO), pp. 2105-2109, 2021. (poster) (official access)
  4. K. Kume and I. Yamada, "Adaptive localized Cayley parametrization technique for smooth optimization over the Stiefel manifold" 2019 27th European Signal Processing Conference (EUSIPCO), pp. 1-5, 2021. (poster) (official access)

Invited talk

  1. K. Kume and I. Yamada, "Cayley parametrization strategy for optimization over the Stiefel manifold," 10th International Congress on Industrial and Applied Mathematics (ICIAM 2023), 2023.
  2. K. Kume and I. Yamada, "On optimization over Stiefel manifold based on adaptive Cayley parametrization," IEICE Technical Report, vol. 123, no. 152, SIP2023-50, pp. 20-20, 2023.