1 code implementation • 5 Jan 2024 • Yunpeng Yao, Man Wu, Zheng Chen, Renyuan Zhang
This paper proposes a general training framework that enhances feature learning and activation efficiency within a limited time step, providing a new solution for more energy-efficient SNNs.
no code implementations • 21 Apr 2022 • Zheng Chen, Lingwei Zhu, Ziwei Yang, Renyuan Zhang
A spiking neural network (SNN) based tier is designed to distill the principle information in terms of spike-streams from the rare features, which maintains the temporal implication in the nature of EEGs.
no code implementations • 2 Apr 2022 • Lingwei Zhu, Koki Odani, Ziwei Yang, Guang Shi, Yirong Kan, Zheng Chen, Renyuan Zhang
Recently there has seen promising results on automatic stage scoring by extracting spatio-temporal features from electroencephalogram (EEG).
no code implementations • 2 Aug 2021 • Renyuan Zhang, Jiahao Wang, Zenghui Wang, Kai Cai
Finally, combining with the algorithm of computing the supremal controllable sublanguage, we design algorithms to compute the maximally permissive solutions to the formulated (heterogeneously) quantitatively nonblocking supervisory control problems.
no code implementations • 21 Nov 2019 • Arindam Sengupta, Feng Jin, Renyuan Zhang, Siyang Cao
To the best of the authors' knowledge, this is the first method to detect >15 distinct skeletal joints using mmWave radar reflection signals.
no code implementations • 14 Nov 2019 • Feng Jin, Renyuan Zhang, Arindam Sengupta, Siyang Cao, Salim Hariri, Nimit K. Agarwal, Sumit K. Agarwal
For each patient, the Doppler pattern of the point cloud over a time period is collected as the behavior signature.