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DNN Training Acceleration via Exploring GPGPU Friendly Sparsity


Mar 11, 2022
Zhuoran Song, Yihong Xu, Han Li, Naifeng Jing, Xiaoyao Liang, Li Jiang


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CP-ViT: Cascade Vision Transformer Pruning via Progressive Sparsity Prediction


Mar 09, 2022
Zhuoran Song, Yihong Xu, Zhezhi He, Li Jiang, Naifeng Jing, Xiaoyao Liang


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SME: ReRAM-based Sparse-Multiplication-Engine to Squeeze-Out Bit Sparsity of Neural Network


Mar 02, 2021
Fangxin Liu, Wenbo Zhao, Yilong Zhao, Zongwu Wang, Tao Yang, Zhezhi He, Naifeng Jing, Xiaoyao Liang, Li Jiang

* 7 pages, 12 figures 

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Invocation-driven Neural Approximate Computing with a Multiclass-Classifier and Multiple Approximators


Oct 19, 2018
Haiyue Song, Chengwen Xu, Qiang Xu, Zhuoran Song, Naifeng Jing, Xiaoyao Liang, Li Jiang

* Accepted by ICCAD 2018 

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AXNet: ApproXimate computing using an end-to-end trainable neural network


Jul 27, 2018
Zhenghao Peng, Xuyang Chen, Chengwen Xu, Naifeng Jing, Xiaoyao Liang, Cewu Lu, Li Jiang

* Accepted by ICCAD 2018 

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