The paper below has been accepted by British Machine Vision Conference. This research is a result of the CREST project on optical neural networks.
A. Lopez, M. Hashimoto, M. Motomura, and J. Yu, “Hidden-Fold Networks: Random Recurrent Residuals Using Sparse Supermasks,” Proceedings of British Machine Vision Conference (BMVC), to appear.
The following paper has been accepted to ACM Workshop on Encrypted Computing & Applied Homomorphic Cryptography (WAHC).
Kotaro Matsuoka, Yusuke Hoshizuki, Takashi Sato and Song Bian, “Towards better standard cell library: Optimizing compound logic gates for TFHE,” in Proc. ACM Workshop on Encrypted Computing & Applied Homomorphic Cryptography (WAHC), November 2021. (accepted for presentation)
The paper below has been accepted for SIGGRAPH Asia 2021.
R. Shirai and M. Hashimoto, “Submarine LED: Wirelessly powered underwater display controlling its buoyancy,” SIGGRAPH Asia 2021 Posters, to appear.
This research has been executed in response to support of KIOXIA Corporation.
The paper below has been accepted for Asia and South Pacific Design Automation Conference (ASP-DAC) 2022.
Dehua Liang, Noriyuki Miura, Jun Shiomi and Hiromitsu Awano, “DistriHD: A Memory Efficient Distributed Binary Hyperdimensional Computing Architecture for Image Classification,” ASP-DAC 2022, to appear.
The paper below has been accepted to the international conference IEEE Biomedical Circuits and Systems Conference (BioCAS) 2021.
Suraj Hebber and Takashi Sato, “Motion robust remote photoplethsymography via frequency domain motion artifact reduction,” in Proc. IEEE Biomedical Circuits and Systems Conference (BIOCAS), to appear.
The paper below has been accepted for oral presentation at European Conference on Radiation and Its Effects on Components and Systems (RADECS) 2021. This work is joint work with Prof. Jing-Jia Lou at National Tsing Hua University, Taiwan.
T. Hsu, D. Yang, W. Liao, M. Itoh, M. Hashimoto, and J. Liou, “Processor SER Estimation with ACE Bit Analysis,” Proceedings of European Conference on Radiation and Its Effects on Components and Systems (RADECS), to appear.
Former Ph.D. student, Dr. TaiYu Cheng at Osaka University, gave a presentation at IEEE International Symposium on Circuits and Systems 2021 held in Hybrid (Online + On-site (Daegu, Korea)) from May 23 to 26, 2021 (Presentation date: 26th).
T. Cheng and M. Hashimoto, “Minimizing Energy of Dnn Training with Adaptive Bit-Width and Voltage Scaling,” Proceedings of IEEE International Symposium on Circuits and Systems (ISCAS), May 2021.