Genki Kusano: Our Researchers

September 8, 2023

Genki Kusano

Ph.D in Science
Senior Researcher

Genki Kusano and Masafumi Oyamada. Cross-Domain User Similarity without Overlapping Attributes via Optimal Transport Theory. ACM SIGIR Workshop on eCommerce (SIGIR eCom), 2023.
Genki Kusano and Masafumi Oyamada. User Identity Linkage for Different Behavioral Patterns across Domains. Proceedings of the International AAAI Conference on Web and Social Media (ICWSM), 15(1):351-360, 2021.
Genki Kusano. On the Expectation of a Persistence Diagram by the Persistence Weighted Kernel. Japan Journal of Industrial and Applied Mathematics (JJIAM), 36 (3), 861-892. 2019.
Genki Kusano, Kenji Fukumizu, Yasuaki Hiraoka. Kernel Method for Persistence Diagrams via Kernel Embedding and Weight Factor. Journal of Machine Learning Research (JMLR), 18(189):1--41, 2018.
Genki Kusano, Kenji Fukumizu, Yasuaki Hiraoka. Persistence weighted Gaussian kernel for topological data analysis. Proceedings of the 33rd International Conference on Machine Learning (ICML), PMLR 48, 2004--2013, 2016.
Yasuaki Hiraoka, Genki Kusano. Relative interleavings and applications to sensor network. Japan Journal of Industrial and Applied Mathematics (JJIAM), 33(1):99-120, 2016.

Genki Kusano. Kernel method for persistence diagrams, Joint Mathematics Meetings 2017, January 4, 2017, Atlanta Marriott Marquis, Atlanta (USA)
Genki Kusano, Kenji Fukumizu, Yasuaki Hiraoka. Persistence weighted Gaussian kernel for topological data analysis, SIAM: Imaging Science, May 24, 2016, Hotel Albuquerque at Old Town, Albuquerque (USA)

March, 2014.: Bachelor of Science. Faculty of Science, Kyushu University.
March, 2015.: Graduate School of Mathematics, Kyushu University
March, 2016.: Master of Science. Graduate School of Science, Tohoku University.
March, 2019.: Doctor of Science. Graduate School of Science, Tohoku University.