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Kuo-Wei Chang

4 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author4

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.AR4
ORCID 0000-0001-6867-1554

identity via Semantic Scholar / OpenAlex

most citedVWA: Hardware Efficient Vectorwise Accelerator for Convolutional Neural Network

43 citations · 73 across the 4 of their papers we have counts for

collaborators

4 papers

cs.AR2022★ 8 cited

VSCNN: Convolution Neural Network Accelerator With Vector Sparsity

Kuo-Wei Chang, Tian-Sheuan Chang

Hardware accelerator for convolution neural network (CNNs) enables real time applications of artificial intelligence technology. However, most of the accelerators only support dens…

cs.AR2022★ 43 cited

VWA: Hardware Efficient Vectorwise Accelerator for Convolutional Neural Network

Kuo-Wei Chang, Tian-Sheuan Chang

Hardware accelerators for convolution neural networks (CNNs) enable real-time applications of artificial intelligence technology. However, most of the existing designs suffer from…

cs.AR2022★ 18 cited

Efficient Accelerator for Dilated and Transposed Convolution with Decomposition

Kuo-Wei Chang, Tian-Sheuan Chang

Hardware acceleration for dilated and transposed convolution enables real time execution of related tasks like segmentation, but current designs are specific for these convolutiona…

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…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.