4 citations · 7 across the 2 of their papers we have counts for
2 papers
cs.SD2023★ 3 cited
A 1.6-mW Sparse Deep Learning Accelerator for Speech Separation
Chih-Chyau Yang, Tian-Sheuan Chang
Low power deep learning accelerators on the speech processing enable real-time applications on edge devices. However, most of the existing accelerators suffer from high power consu…
cs.AR2022★ 4 cited
A Real Time 1280x720 Object Detection Chip With 585MB/s Memory Traffic
Kuo-Wei Chang, Hsu-Tung Shih, Tian-Sheuan Chang +4
Memory bandwidth has become the real-time bottleneck of current deep learning accelerators (DLA), particularly for high definition (HD) object detection. Under resource constraints…