Zhuoran Song
Zhuoran Song
Verified email at sjtu.edu.cn
Cited by
Cited by
Approximate Random Dropout for DNN training acceleration in GPGPU
Z Song, R Wang, D Ru, Z Peng, H Huang, H Zhao, X Liang, L Jiang
2019 Design, Automation & Test in Europe Conference & Exhibition (DATE), 108-113, 2019
DRQ: Dynamic Region-based Quantization for Deep Neural Network Acceleration
Z Song, B Fu, F Wu, Z Jiang, L Jiang, N Jing, X Liang
2020 ACM/IEEE 47th Annual International Symposium on Computer Architecture …, 2020
ITT-RNA: Imperfection Tolerable Training for RRAM-Crossbar based Deep Neural-network Accelerator
Z Song, Y Sun, L Chen, T Li, N Jing, X Liang, L Jiang
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 2020
Energy-Efficient and Quality-Assured Approximate Computing Framework Using a Co-Training Method
L Jiang, Z Song, H Song, C Xu, Q Xu, N Jing, W Zhang, X Liang
ACM Transactions on Design Automation of Electronic Systems (TODAES) 24 (6 …, 2019
Invocation-driven neural approximate computing with a multiclass-classifier and multiple approximators
H Song, C Xu, Q Xu, Z Song, N Jing, X Liang, L Jiang
Proceedings of the International Conference on Computer-Aided Design, 1-8, 2018
Approximate Random Dropout
Z Song, R Wang, D Ru, H Huang, Z Peng, J Ke, X Liang, L Jiang
arXiv preprint arXiv:1805.08939, 2018
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