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2020 – today
- 2023
[c4]Yun-Hao Cao, Peiqin Sun, Shuchang Zhou:
Three Guidelines You Should Know for Universally Slimmable Self-Supervised Learning. CVPR 2023: 15742-15751- [c3]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: 1-9 - [i5]Yun-Hao Cao, Peiqin Sun, Shuchang Zhou:
Three Guidelines You Should Know for Universally Slimmable Self-Supervised Learning. CoRR abs/2303.06870 (2023) - 2022
- [c2]Yun-Hao Cao
, Peiqin Sun, Yechang Huang, Jianxin Wu, Shuchang Zhou:
Synergistic Self-supervised and Quantization Learning. ECCV (30) 2022: 587-604 - [c1]Yang Lin, Tianyu Zhang, Peiqin Sun, Zheng Li, Shuchang Zhou:
FQ-ViT: Post-Training Quantization for Fully Quantized Vision Transformer. IJCAI 2022: 1173-1179 - [i4]Yun-Hao Cao, Peiqin Sun, Yechang Huang, Jianxin Wu, Shuchang Zhou:
Synergistic Self-supervised and Quantization Learning. CoRR abs/2207.05432 (2022) - 2021
- [i3]Yang Lin, Tianyu Zhang, Peiqin Sun, Zheng Li, Shuchang Zhou:
FQ-ViT: Fully Quantized Vision Transformer without Retraining. CoRR abs/2111.13824 (2021) - 2020
- [i2]Dachao Lin, Peiqin Sun, Guangzeng Xie, Shuchang Zhou, Zhihua Zhang:
Optimal Quantization for Batch Normalization in Neural Network Deployments and Beyond. CoRR abs/2008.13128 (2020)
2010 – 2019
- 2017
- [i1]Liangzhuang Ma, Xin Kan, Qianjiang Xiao, Wenlong Liu, Peiqin Sun:
Yes-Net: An effective Detector Based on Global Information. CoRR abs/1706.09180 (2017)
Coauthor Index
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