Haitong Huang

Orcid: 0009-0003-0525-2952

According to our database¹, Haitong Huang authored at least 10 papers between 2022 and 2023.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

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On csauthors.net:

Bibliography

2023

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

[BibT_eX]

[DOI]

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

Statistical Modeling of Soft Error Influence on Neural Networks.

[BibT_eX]

[DOI]

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

Cross-Layer Optimization for Fault-Tolerant Deep Learning.

[BibT_eX]

[DOI]

CoRR, 2023

DeepBurning-MixQ: An Open Source Mixed-Precision Neural Network Accelerator Design Framework for FPGAs.

[BibT_eX]

[DOI]

CoRR, 2023

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

[BibT_eX]

[DOI]

CoRR, 2023

Deep Learning Accelerator in Loop Reliability Evaluation for Autonomous Driving.

[BibT_eX]

[DOI]

Haitong Huang

Cheng Liu

CoRR, 2023

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

[BibT_eX]

[DOI]

CoRR, 2023

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

[BibT_eX]

[DOI]

CoRR, 2023

DeepBurning-MixQ: An Open Source Mixed-Precision Neural Network Accelerator Design Framework for FPGAs.

[BibT_eX]

[DOI]

Proceedings of the IEEE/ACM International Conference on Computer Aided Design, 2023

2022

Winograd convolution: a perspective from fault tolerance.

[BibT_eX]

[DOI]

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

Haitong Huang

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On csauthors.net:

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