Hideaki Hayashi

Ph.D. in Engineering
Associate professor
ISLab, D3 Center
Osaka University

[March 18, 2026] Our paper has been accepted by IEEE Transactions on Affective Computing [IEEE Xplore].
[January 27, 2026] Our paper has been accepted at ICLR 2026 [OpenReview].
[January 14, 2026] Our paper has been accepted at ISBI 2026.
[January 1, 2026] Our paper has been accepted by IEEE Transactions on Biometrics, Behavior, and Identity Science [IEEE Xplore].

- Confidence calibration [IEEE TNNLS 2025] [WACV 2025]
- Learning with limited annotation costs [WCCI 2024] [ICANN 2024]
- Sparse Bayesian learning [ICLR 2021]
- Deep generative models [KNOSYS 2019] [ISBI 2018]
- Neural network based on probabilistic models [IEEE TNNLS 2015] [IEEE Access 2021]

- Severity estimation using relative annotation [MIA 2024]
- Endoscopic image analysis [MICCAI 2021]
- Efficient annotation of medical images [MIA 2021]
- Infant video analysis [Scientific Reports 2020] [Scientific Reports 2020]

- Biosignal analysis using probabilistic models [IEEE TBME 2017] [IEEE TBME 2019]
- Biosignal classification for human–machine interfaces [PLOS ONE 2017]

1989 Born in Hiroshima city, Japan

2012 Received B.E. degree from Hiroshima University

2014 Received M.E. degree from Hiroshima University

2015 Research Fellow of the Japan Society for the Promotion of Science（DC2)

2016 Received Ph.D. in Eng. degree from Hiroshima University

2016 Research Fellow of the Japan Society for the Promotion of Science（PD)

2017 Assistant Professor, Faculty of Information Science and Electrical Engineering, Kyushu University

2022 Associate Professor, Institute for Datability Science, Osaka University

2024 Associate Professor, D3 Center, Osaka University

D3 Center, Osaka University.

2-8 Yamadaoka, Suita, Osaka, 565-0871, JAPAN

Tel: +81-6-6105-6069

E-mail: hayashi[at]ids.osaka-u.ac.jp

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