Zhou, Shuchang

DoReFa-Net: Training Low Bitwidth Convolutional Neural Networks with Low Bitwidth Gradients

Zhou, S., Wu, Y., Ni, Z., Zhou, X., Wen, H., & Zou, Y. (2016) · arXiv

Advanced Neural Network ApplicationsLow-power high-performance VLSI design

Cited by 1,690

FQ-ViT: Post-Training Quantization for Fully Quantized Vision Transformer

Lin, Y., Zhang, T., Sun, P., Li, Z., & Zhou, S. (2022) · Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 198

FQ-ViT: Post-Training Quantization for Fully Quantized Vision Transformer

Lin, Y., Zhang, T., Sun, P., Li, Z., & Zhou, S. (2021) · arXiv

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 196

SOLE: Hardware-Software Co-design of Softmax and LayerNorm for Efficient Transformer Inference

Wang, W., Zhou, S., Sun, W., Sun, P., & Liu, Y. (2023) · 2023 IEEE/ACM International Conference on Computer Aided Design (ICCAD)

Advanced Neural Network ApplicationsLow-power high-performance VLSI design

Cited by 51