Scholar
Seiya Tokui
Google Scholar ID: qOkcVXMAAAAJ
Preferred Networks, Inc.
Citations & Impact
Citations
1,666
H-index
9
i10-index
9
Publications
20
Co-authors
0
Publications
Resume (English only)
Academic Achievements
- - Published multiple papers in international conferences such as ICLR, KDD, ICML, etc.
- - Received the Software Japan Award 2017 from the Information Processing Society of Japan for his contributions to the development of a deep learning framework
Research Experience
- - Researcher at Preferred Networks (Oct. 2014 – present)
- - Worked on machine learning and computer vision for IoT
- - Led the development of the deep learning framework Chainer
- - Researcher/Engineer at Preferred Infrastructure (Apr. 2012 – Oct. 2014)
- - Mainly engaged in the Jubatus project
- - Internship experiences: pixiv (Mar. 2011), worked on improvements of recommender systems; Google Japan (Aug. 2010 – Sep. 2010), worked at Google Japanese Input team and created the calculator feature
Education
- - Doctor: Information Science and Technology, University of Tokyo (Apr. 2016 – Sept. 2022), Supervisor: Issei Sato
- - Master: Mathematical Informatics, University of Tokyo (Apr. 2010 – Mar. 2012), Supervisor: Hiroshi Nakagawa
- - Bachelor: Mathematics, University of Tokyo (Apr. 2006 – Mar. 2010)
Background
- Research interests include deep learning and its software stack. He was the lead developer of the deep learning framework Chainer.
Miscellany
- Co-authored a Japanese book on online machine learning with three colleagues
Co-authors