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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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N3H-Core: Neuron-designed Neural Network Accelerator via FPGA-based Heterogeneous Computing Cores


Dec 15, 2021
Yu Gong, Zhihan Xu, Zhezhi He, Weifeng Zhang, Xiaobing Tu, Xiaoyao Liang, Li Jiang

* 11 pages, 12 figures, In Proceedings of the 2022 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays (FPGA'22), February 27-March 1, 2022, Virtual Event, CA, USA 

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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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Approximate Random Dropout


May 23, 2018
Zhuoran Song, Dongyu Ru, Ru Wang, Hongru Huang, Zhenghao Peng, Jing Ke, Xiaoyao Liang, Li Jiang

* 10 pages, 6 figures, conference 

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