Xinghua Xue

According to our database, Xinghua Xue authored at least 8 papers between 2022 and 2023.

Collaborative distances:

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

2023

Soft Error Reliability Analysis of Vision Transformers.

Xinghua Xue, Cheng Liu, Ying Wang, Bing Yang, Tao Luo, Lei Zhang, Huawei Li, Xiaowei Li

IEEE Trans. Very Large Scale Integr. Syst., December, 2023

Exploring Winograd Convolution for Cost-Effective Neural Network Fault Tolerance.

Xinghua Xue, Cheng Liu, Bo Liu, Haitong Huang, Ying Wang, Tao Luo, Lei Zhang, Huawei Li, Xiaowei Li

IEEE Trans. Very Large Scale Integr. Syst., November, 2023

Statistical Modeling of Soft Error Influence on Neural Networks.

Haitong Huang, Xinghua Xue, Cheng Liu, Ying Wang, Tao Luo, Long Cheng, Huawei Li, Xiaowei Li

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

Exploring Winograd Convolution for Cost-effective Neural Network Fault Tolerance.

Xinghua Xue, Cheng Liu, Bo Liu, Haitong Huang, Ying Wang, Tao Luo, Lei Zhang, Huawei Li, Xiaowei Li

CoRR, 2023

MRFI: An Open Source Multi-Resolution Fault Injection Framework for Neural Network Processing.

Haitong Huang, Cheng Liu, Xinghua Xue, Ying Wang, Huawei Li, Xiaowei Li

CoRR, 2023

ApproxABFT: Approximate Algorithm-Based Fault Tolerance for Vision Transformers.

Xinghua Xue, Cheng Liu, Haitong Huang, Ying Wang, Bing Yang, Tao Luo, Lei Zhang, Huawei Li, Xiaowei Li

CoRR, 2023

Reliability Analysis of Vision Transformers.

Xinghua Xue, Cheng Liu, Ying Wang, Bing Yang, Tao Luo, Lei Zhang, Huawei Li, Xiaowei Li

CoRR, 2023

2022

Winograd convolution: a perspective from fault tolerance.

Xinghua Xue, Haitong Huang, Cheng Liu, Tao Luo, Lei Zhang, Ying Wang

Proceedings of the DAC '22: 59th ACM/IEEE Design Automation Conference, San Francisco, California, USA, July 10, 2022