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Nesting Forward Automatic Differentiation for Memory-Efficient Deep Neural Network Training


Sep 22, 2022
Cong Guo, Yuxian Qiu, Jingwen Leng, Chen Zhang, Ying Cao, Quanlu Zhang, Yunxin Liu, Fan Yang, Minyi Guo

* 8 pages, ICCD 2022 

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ANT: Exploiting Adaptive Numerical Data Type for Low-bit Deep Neural Network Quantization


Aug 30, 2022
Cong Guo, Chen Zhang, Jingwen Leng, Zihan Liu, Fan Yang, Yunxin Liu, Minyi Guo, Yuhao Zhu

* 20 pages, accepted by MICRO 2022 

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Efficient Activation Quantization via Adaptive Rounding Border for Post-Training Quantization


Aug 25, 2022
Zhengyi Li, Cong Guo, Zhanda Zhu, Yangjie Zhou, Yuxian Qiu, Xiaotian Gao, Jingwen Leng, Minyi Guo


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SQuant: On-the-Fly Data-Free Quantization via Diagonal Hessian Approximation


Feb 14, 2022
Cong Guo, Yuxian Qiu, Jingwen Leng, Xiaotian Gao, Chen Zhang, Yunxin Liu, Fan Yang, Yuhao Zhu, Minyi Guo

* 18 pages, 2 figures, ICLR 2022 

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Dual-side Sparse Tensor Core


May 20, 2021
Yang Wang, Chen Zhang, Zhiqiang Xie, Cong Guo, Yunxin Liu, Jingwen Leng


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Accelerating Sparse DNN Models without Hardware-Support via Tile-Wise Sparsity


Aug 29, 2020
Cong Guo, Bo Yang Hsueh, Jingwen Leng, Yuxian Qiu, Yue Guan, Zehuan Wang, Xiaoying Jia, Xipeng Li, Minyi Guo, Yuhao Zhu

* 12pages, ACM/IEEE Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis (SC20) 

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Balancing Efficiency and Flexibility for DNN Acceleration via Temporal GPU-Systolic Array Integration


Feb 18, 2020
Cong Guo, Yangjie Zhou, Jingwen Leng, Yuhao Zhu, Zidong Du, Quan Chen, Chao Li, Minyi Guo, Bin Yao

* Accepted by DAC2020 

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Adversarial Defense Through Network Profiling Based Path Extraction


May 09, 2019
Yuxian Qiu, Jingwen Leng, Cong Guo, Quan Chen, Chao Li, Minyi Guo, Yuhao Zhu


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