Journal Papers
K. Yamada, N. Akaishi, K. Yatabe, Y. Takayama, "Ptychographic phase retrieval via a deep-learning-assisted iterative algorithm," Journal of Applied Crystallography, vol. 57, no. 5, pp. 1323–1335, 2024. [link]
N. Akaishi, K. Yamada, K. Yatabe, Y. Takayama, "Subgradient-projection-based stable phase-retrieval algorithm for X-ray ptychography," Journal of Applied Crystallography, vol. 57, no. 4, pp. 1085–1097, 2024. [link]
K. Arai, K. Yamada, K. Yatabe, "Versatile time-frequency representations realized by convex penalty on magnitude spectrogram," IEEE Signal Processing Letters, vol. 30, pp. 1082–1086, 2023. [link]
M. Nagahama, K. Yamada, Y. Tanaka, S. H. Chan, and Y. C. Eldar, "Graph signal restoration using nested deep algorithm unrolling," IEEE Transactions on Signal Processing, vol. 70, pp. 3296–3311, 2022. [link]
K. Yamada and Y. Tanaka, "Temporal multiresolution graph learning," IEEE Access, vol. 9, pp. 143734–143745, 2021. Open Access at IEEE Xplore
Preprint
K. Yamada, "Graph filter transfer via probability density ratio weighting," Arxiv, 2022.
International Conferences
K. Yamada, Y. Tanaka, "Graph learning information criterion," ICASSP 2022, Singapore, May 2022.
K. Yanagiya, K. Yamada, Y. Katsuhara, T. Takatani, and Y. Tanaka, "Edge sampling of graphs based on edge smoothness," ICASSP 2022, Singapore, May 2022.
K. Fukumoto, K. Yamada, and Y. Tanaka, "Node clustering of time-varying graphs based on temporal label smoothness," APSIPA ASC 2021, Tokyo, Japan, Dec. 2021.
M. Nagahama, K. Yamada, Y. Tanaka, S. H. Chan, and Y. C. Eldar, "Graph signal denoising using nested-structured deep algorithm unrolling," ICASSP 2021, Virtual Conference, Jun. 2021.
J. Hara, K. Yamada, S. Ono, and Y. Tanaka, "Design of graph signal sampling matrices for arbitrary signal subspace," ICASSP 2021, Virtual Conference, Jun. 2021.
K. Yamada and Y. Tanaka, "Learning graphs with multiple temporal resolutions," APSIPA ASC 2020, Virtual Conference, Dec. 2020.
T. Ueda, K. Yamada, and Y. Tanaka, "Underwater image synthesis from RGB-D images and its application to deep underwater image restoration," ICIP 2019, Taipei, Taiwan, Sep. 2019. (Best Student Paper Runner-Up: 20 Best Paper/Best Student Paper finalists among 2,067 submissions)
K. Yamada, Y. Tanaka, and A. Ortega, "Time-varying graph learning based on sparseness of temporal variation," ICASSP 2019, Brighton, UK, May 2019.