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Xiandong Zhao
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Linear symmetric quantization of neural networks for low-precision integer hardware
X Zhao, Y Wang, X Cai, C Liu, L Zhang
732020
RaQu: An automatic high-utilization CNN quantization and mapping framework for general-purpose RRAM accelerator
S Qu, B Li, Y Wang, D Xu, X Zhao, L Zhang
2020 57th ACM/IEEE Design Automation Conference (DAC), 1-6, 2020
252020
BitPruner: Network pruning for bit-serial accelerators
X Zhao, Y Wang, C Liu, C Shi, K Tu, L Zhang
2020 57th ACM/IEEE Design Automation Conference (DAC), 1-6, 2020
232020
Towards state-aware computation in ReRAM neural networks
Y He, Y Wang, X Zhao, H Li, X Li
2020 57th ACM/IEEE Design Automation Conference (DAC), 1-6, 2020
82020
Network Pruning for Bit-Serial Accelerators
X Zhao, Y Wang, C Liu, C Shi, K Tu, L Zhang
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 2022
12022
MT-DLA: An efficient multi-task deep learning accelerator design
M Wang, B Li, Y Wang, C Liu, X Ma, X Zhao, L Zhang
Proceedings of the 2021 on Great Lakes Symposium on VLSI, 1-8, 2021
12021
An Automatic Neural Network Architecture-and-Quantization Joint Optimization Framework for Efficient Model Inference
L Liu, Y Wang, X Zhao, W Chen, H Li, X Li, Y Han
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 2023
2023
Power-efficient Neural Network Scheduling
Y Wang, X Cai, X Zhao
Low-Power Computer Vision, 127-172, 2022
2022
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Artículos 1–8