44 citations · 124 across the 4 of their papers we have counts for
4 papers
Epilepsy Seizure Detection and Prediction using an Approximate Spiking Convolutional Transformer
Qinyu Chen, Congyi Sun, Chang Gao +1
Epilepsy is a common disease of the nervous system. Timely prediction of seizures and intervention treatment can significantly reduce the accidental injury of patients and protect…
3ET: Efficient Event-based Eye Tracking using a Change-Based ConvLSTM Network
Qinyu Chen, Zuowen Wang, Shih-Chii Liu +1
This paper presents a sparse Change-Based Convolutional Long Short-Term Memory (CB-ConvLSTM) model for event-based eye tracking, key for next-generation wearable healthcare technol…
To Spike or Not To Spike: A Digital Hardware Perspective on Deep Learning Acceleration
Fabrizio Ottati, Chang Gao, Qinyu Chen +4
As deep learning models scale, they become increasingly competitive from domains spanning from computer vision to natural language processing; however, this happens at the expense…
Skydiver: A Spiking Neural Network Accelerator Exploiting Spatio-Temporal Workload Balance
Qinyu Chen, Chang Gao, Xinyuan Fang +1
Spiking Neural Networks (SNNs) are developed as a promising alternative to Artificial Neural networks (ANNs) due to their more realistic brain-inspired computing models. SNNs have…