Peiqin Sun

Publication Activity (10 Years)

Years Active: 2017-2023
Publications (10 Years): 9

Top Topics

Inductive Learning

Supervised Learning

Global Information

Transform Coefficients

Top Venues

Publications

Yun-Hao Cao, Peiqin Sun, Shuchang Zhou
Three Guidelines You Should Know for Universally Slimmable Self-Supervised Learning. CVPR (2023)
Yun-Hao Cao, Peiqin Sun, Shuchang Zhou
Three Guidelines You Should Know for Universally Slimmable Self-Supervised Learning. CoRR (2023)
Wenxun Wang, Shuchang Zhou, Wenyu Sun, Peiqin Sun, Yongpan Liu
SOLE: Hardware-Software Co-design of Softmax and LayerNorm for Efficient Transformer Inference. ICCAD (2023)
Yang Lin, Tianyu Zhang, Peiqin Sun, Zheng Li, Shuchang Zhou
FQ-ViT: Post-Training Quantization for Fully Quantized Vision Transformer. IJCAI (2022)
Yun-Hao Cao, Peiqin Sun, Yechang Huang, Jianxin Wu, Shuchang Zhou
Synergistic Self-supervised and Quantization Learning. CoRR (2022)
Yun-Hao Cao, Peiqin Sun, Yechang Huang, Jianxin Wu, Shuchang Zhou
Synergistic Self-supervised and Quantization Learning. ECCV (30) (2022)
Yang Lin, Tianyu Zhang, Peiqin Sun, Zheng Li, Shuchang Zhou
FQ-ViT: Fully Quantized Vision Transformer without Retraining. CoRR (2021)
Dachao Lin, Peiqin Sun, Guangzeng Xie, Shuchang Zhou, Zhihua Zhang
Optimal Quantization for Batch Normalization in Neural Network Deployments and Beyond. CoRR (2020)
Liangzhuang Ma, Xin Kan, Qianjiang Xiao, Wenlong Liu, Peiqin Sun
Yes-Net: An effective Detector Based on Global Information. CoRR (2017)