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Faith: An Efficient Framework for Transformer Verification on GPUs


Sep 23, 2022
Boyuan Feng, Tianqi Tang, Yuke Wang, Zhaodong Chen, Zheng Wang, Shu Yang, Yuan Xie, Yufei Ding

* Published in ATC'22 

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Dynamic N:M Fine-grained Structured Sparse Attention Mechanism


Feb 28, 2022
Zhaodong Chen, Yuying Quan, Zheng Qu, Liu Liu, Yufei Ding, Yuan Xie


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Transformer Acceleration with Dynamic Sparse Attention


Oct 21, 2021
Liu Liu, Zheng Qu, Zhaodong Chen, Yufei Ding, Yuan Xie


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H2Learn: High-Efficiency Learning Accelerator for High-Accuracy Spiking Neural Networks


Jul 25, 2021
Ling Liang, Zheng Qu, Zhaodong Chen, Fengbin Tu, Yujie Wu, Lei Deng, Guoqi Li, Peng Li, Yuan Xie


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A Comprehensive and Modularized Statistical Framework for Gradient Norm Equality in Deep Neural Networks


Jan 01, 2020
Zhaodong Chen, Lei Deng, Bangyan Wang, Guoqi Li, Yuan Xie

* Under review as a regular paper in TPAMI 

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Hardness-Aware Deep Metric Learning


Mar 13, 2019
Wenzhao Zheng, Zhaodong Chen, Jiwen Lu, Jie Zhou

* Accepted as CVPR 2019 Oral. Source code available at https://github.com/wzzheng/HDML 

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Batch Normalization Sampling


Nov 02, 2018
Zhaodong Chen, Lei Deng, Guoqi Li, Jiawei Sun, Xing Hu, Xin Ma, Yuan Xie


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