Peiqin Sun

According to our database, Peiqin Sun authored at least 7 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

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

Wenxun Wang, Shuchang Zhou, Wenyu Sun, Peiqin Sun, Yongpan Liu

Proceedings of the IEEE/ACM International Conference on Computer Aided Design, 2023

Three Guidelines You Should Know for Universally Slimmable Self-Supervised Learning.

Yun-Hao Cao, Peiqin Sun, Shuchang Zhou

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

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

Yang Lin, Tianyu Zhang, Peiqin Sun, Zheng Li, Shuchang Zhou

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Synergistic Self-supervised and Quantization Learning.

Yun-Hao Cao, Peiqin Sun, Yechang Huang, Jianxin Wu, Shuchang Zhou

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

FQ-ViT: Fully Quantized Vision Transformer without Retraining.

Yang Lin, Tianyu Zhang, Peiqin Sun, Zheng Li, Shuchang Zhou

CoRR, 2021

2020

Optimal Quantization for Batch Normalization in Neural Network Deployments and Beyond.

Dachao Lin, Peiqin Sun, Guangzeng Xie, Shuchang Zhou, Zhihua Zhang

CoRR, 2020

2017

Yes-Net: An effective Detector Based on Global Information.

Liangzhuang Ma, Xin Kan, Qianjiang Xiao, Wenlong Liu, Peiqin Sun

CoRR, 2017