Xiandong Zhao

According to our database, Xiandong Zhao authored at least 8 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

An Automatic Neural Network Architecture-and-Quantization Joint Optimization Framework for Efficient Model Inference.

Lian Liu, Ying Wang, Xiandong Zhao, Weiwei Chen, Huawei Li, Xiaowei Li, Yinhe Han

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., May, 2024

Enhancing One-shot Pruned Pre-trained Language Models through Sparse-Dense-Sparse Mechanism.

Guanchen Li, Xiandong Zhao, Lian Liu, Zeping Li, Dong Li, Lu Tian, Jie He, Ashish Sirasao, Emad Barsoum

CoRR, 2024

2023

Network Pruning for Bit-Serial Accelerators.

Xiandong Zhao, Ying Wang, Cheng Liu, Cong Shi, Kaijie Tu, Lei Zhang

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., May, 2023

2021

MT-DLA: An Efficient Multi-Task Deep Learning Accelerator Design.

Mengdi Wang, Bing Li, Ying Wang, Cheng Liu, Xiaohan Ma, Xiandong Zhao, Lei Zhang

Proceedings of the GLSVLSI '21: Great Lakes Symposium on VLSI 2021, 2021

2020

Linear Symmetric Quantization of Neural Networks for Low-precision Integer Hardware.

Xiandong Zhao, Ying Wang, Xuyi Cai, Cheng Liu, Lei Zhang

Proceedings of the 8th International Conference on Learning Representations, 2020

BitPruner: Network Pruning for Bit-serial Accelerators.

Xiandong Zhao, Ying Wang, Cheng Liu, Cong Shi, Kaijie Tu, Lei Zhang

Proceedings of the 57th ACM/IEEE Design Automation Conference, 2020

RaQu: An automatic high-utilization CNN quantization and mapping framework for general-purpose RRAM Accelerator.

Songyun Qu, Bing Li, Ying Wang, Dawen Xu, Xiandong Zhao, Lei Zhang

Proceedings of the 57th ACM/IEEE Design Automation Conference, 2020

Towards State-Aware Computation in ReRAM Neural Networks.

Yintao He, Ying Wang, Xiandong Zhao, Huawei Li, Xiaowei Li

Proceedings of the 57th ACM/IEEE Design Automation Conference, 2020