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2020 – today
- 2024
[j2]Lian Liu
, Ying Wang, Xiandong Zhao, Weiwei Chen, Huawei Li, Xiaowei Li, Yinhe Han:
An Automatic Neural Network Architecture-and-Quantization Joint Optimization Framework for Efficient Model Inference. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 43(5): 1497-1510 (2024)- [i1]Guanchen Li, Xiandong Zhao, Lian Liu, Zeping Li, Dong Li, Lu Tian, Jie He, Ashish Sirasao, Emad Barsoum:
Enhancing One-shot Pruned Pre-trained Language Models through Sparse-Dense-Sparse Mechanism. CoRR abs/2408.10473 (2024) - 2023
- [j1]Xiandong Zhao, Ying Wang, Cheng Liu, Cong Shi, Kaijie Tu, Lei Zhang:
Network Pruning for Bit-Serial Accelerators. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 42(5): 1597-1609 (2023) - 2021
- [c5]Mengdi Wang, Bing Li, Ying Wang, Cheng Liu, Xiaohan Ma, Xiandong Zhao, Lei Zhang:
MT-DLA: An Efficient Multi-Task Deep Learning Accelerator Design. ACM Great Lakes Symposium on VLSI 2021: 1-8 - 2020
- [c4]Yintao He, Ying Wang, Xiandong Zhao, Huawei Li, Xiaowei Li:
Towards State-Aware Computation in ReRAM Neural Networks. DAC 2020: 1-6 - [c3]Songyun Qu, Bing Li, Ying Wang, Dawen Xu, Xiandong Zhao, Lei Zhang:
RaQu: An automatic high-utilization CNN quantization and mapping framework for general-purpose RRAM Accelerator. DAC 2020: 1-6 - [c2]Xiandong Zhao, Ying Wang, Cheng Liu, Cong Shi, Kaijie Tu, Lei Zhang:
BitPruner: Network Pruning for Bit-serial Accelerators. DAC 2020: 1-6 - [c1]Xiandong Zhao, Ying Wang, Xuyi Cai, Cheng Liu, Lei Zhang:
Linear Symmetric Quantization of Neural Networks for Low-precision Integer Hardware. ICLR 2020
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