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Zhihang Yuan
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PD-Quant: Post-Training Quantization based on Prediction Difference Metric


Dec 14, 2022
Jiawei Liu, Lin Niu, Zhihang Yuan, Dawei Yang, Xinggang Wang, Wenyu Liu

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Post-training Quantization on Diffusion Models


Nov 28, 2022
Yuzhang Shang, Zhihang Yuan, Bin Xie, Bingzhe Wu, Yan Yan

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Latency-aware Spatial-wise Dynamic Networks


Oct 12, 2022
Yizeng Han, Zhihang Yuan, Yifan Pu, Chenhao Xue, Shiji Song, Guangyu Sun, Gao Huang

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* NeurIPS 2022 
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PTQ4ViT: Post-Training Quantization Framework for Vision Transformers


Nov 24, 2021
Zhihang Yuan, Chenhao Xue, Yiqi Chen, Qiang Wu, Guangyu Sun

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PTQ-SL: Exploring the Sub-layerwise Post-training Quantization


Oct 18, 2021
Zhihang Yuan, Yiqi Chen, Chenhao Xue, Chenguang Zhang, Qiankun Wang, Guangyu Sun

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ENAS4D: Efficient Multi-stage CNN Architecture Search for Dynamic Inference


Sep 19, 2020
Zhihang Yuan, Xin Liu, Bingzhe Wu, Guangyu Sun

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* 6 figures 
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S2DNAS:Transforming Static CNN Model for Dynamic Inference via Neural Architecture Search


Dec 17, 2019
Zhihang Yuan, Bingzhe Wu, Zheng Liang, Shiwan Zhao, Weichen Bi, Guangyu Sun

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S2DNAS: Transforming Static CNN Model for Dynamic Inference via Neural Architecture Search


Nov 16, 2019
Zhihang Yuan, Bingzhe Wu, Zheng Liang, Shiwan Zhao, Weichen Bi, Guangyu Sun

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