Hayato MAKI, Ph. D. (真木 勇人)
Hayato MAKI, Ph. D. (真木 勇人)
Research Scientist at ZOZO Technologies Inc.
(last update: 2019/12/04)Recent activities
- Gave a presentation at RecSys Study Group. The slide is here.
- Gave a presentation at MIRU'19 Workshop about academic-industry collaboration. The slide is here.
- Published two papers at DEIM 2019.
- Wrote an article on recent trends in computer vision for fashion. Available here (in Japanese).
Research Interest
Research Interest
- Machine Learning
- Computer Vision, Recommender Systems, User Behavior Analysis
Education
Education
- 2015-2018 Ph.D. in Engineering
- Graduate School of Information Sciences, Nara Institute of Science and Technology
- Supervised by Prof. Satoshi Nakamura
- 2013-2015 Master in Engineering
- Graduate School of Information Sciences, Nara Institute of Science and Technology
- Supervised by Prof. Satoshi Nakamura
- 2009-2013 Bachelor in Policy and Planning Sciences
- University of Tsukuba
Selected Publications
Selected Publications
International Conference/Journal Papers
- EEG-based Single Trial Detection of Language Expectation Violations in Listening to Speech, Hiroki Tanaka, Hiroki Watanabe, Hayato Maki, Sakti Sakriani, Satoshi Nakamura, Frontiers in Computational Neuroscience, 2019
- Graph regularized tensor factorization for single-trial EEG Analysis, Hayato Maki, Hiroki Tanaka, Sakriani Sakti, Satoshi Nakamura, Proc. IEEE ICASSP, 2018
- Quality prediction of synthesized speech based on tensor structured EEG signals, Hayato Maki, Sakriani Sakti, Hiroki Tanaka, Satoshi Nakamura, PLOS ONE, 2018
- Prediction of Depressive Tendency from Multidimensional Health Data Collected through Crowdsourcing, Shiori Yamaguchi, Hiroki Tanaka, Hayato Maki, Shigehiko Kanaya, Nobutaka Suzuki, Satoshi Nakamura, Proc. IEEE EMBC, 2018
- EEG Signal Enhancement Using Multi-channel Wiener Filter With a Spatial Correlation Prior, Hayato Maki, Tomoki Toda, Sakriani Sakti, Graham Neubig, Satoshi Nakamura, Proc. IEEE ICASSP, 2015
Domestic Conference Papers
- Estimation of silhouette impression considering body and garment size, Souya Ikeda, Marie Katsurai, Hayato Maki, Ryosuke Goto, Proc. DEIM, 2019 (in Japanese)
- Visualization of Fashion Style Network Using Social Tag Analysis, Kota Uemura, Marie Katsurai, Hayato Maki, Ryosuke Goto, Proc. DEIM, 2019 (in Japanese)
Work Experiences
Work Experiences
- 2018 - current: Research Scientist, ZOZO Technologies
- Research on recommender systems for fashion coordination based on computer vision and metric learning.
- Research on visualization of fashion concept using social network analysis, computer vision, and statistics.
- Research on quantification methods for silhouette impression of clothed person based on human body shape modeling and computer vision.
- August 2016 - December 2016: Visiting Scholar, University of California San Diego
- Performed research project on noise removal from brain activity data using multi-channel signal processing and Bayesian statistics.
Links
Links
- Google Scholar : https://scholar.google.co.jp/citations?user=9kI7X78AAAAJ
- Qiita (in Japanese): https://qiita.com/hamaki631
- Speaker Deck: https://speakerdeck.com/hamaki
- SlideShare: https://www.slideshare.net/hayatomaki9
- twitter: @mkhyt (mainly tweeting in Japanese but feel free to follow and talk to me in English)
Contact
Contact
- LinkedIn: https://www.linkedin.com/in/hayato-maki-b8861411a/
- e-mail: hayato.maki at zozo.com