Haitong Huang

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 13

Top Topics

Top Venues

IEEE Trans. Very Large Scale Integr. Syst.

Publications

Haitong Huang, Cheng Liu, Xinghua Xue, Bo Liu, Huawei Li, Xiaowei Li
MRFI: An Open-Source Multiresolution Fault Injection Framework for Neural Network Processing. IEEE Trans. Very Large Scale Integr. Syst. 32 (7) (2024)
Haitong Huang, Cheng Liu
Deep Learning Accelerator in Loop Reliability Evaluation for Autonomous Driving. CoRR (2023)
Qing Zhang, Cheng Liu, Bo Liu, Haitong Huang, Ying Wang, Huawei Li, Xiaowei Li
Cross-Layer Optimization for Fault-Tolerant Deep Learning. CoRR (2023)
Erjing Luo, Haitong Huang, Cheng Liu, Guoyu Li, Bing Yang, Ying Wang, Huawei Li, Xiaowei Li
DeepBurning-MixQ: An Open Source Mixed-Precision Neural Network Accelerator Design Framework for FPGAs. ICCAD (2023)
Haitong Huang, Xinghua Xue, Cheng Liu, Ying Wang, Tao Luo, Long Cheng, Huawei Li, Xiaowei Li
Statistical Modeling of Soft Error Influence on Neural Networks. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 42 (11) (2023)
Erjing Luo, Haitong Huang, Cheng Liu, Guoyu Li, Bing Yang, Ying Wang, Huawei Li, Xiaowei Li
DeepBurning-MixQ: An Open Source Mixed-Precision Neural Network Accelerator Design Framework for FPGAs. CoRR (2023)
Xinghua Xue, Cheng Liu, Bo Liu, Haitong Huang, Ying Wang, Tao Luo, Lei Zhang, Huawei Li, Xiaowei Li
Exploring Winograd Convolution for Cost-Effective Neural Network Fault Tolerance. IEEE Trans. Very Large Scale Integr. Syst. 31 (11) (2023)
Haitong Huang, Cheng Liu, Xinghua Xue, Ying Wang, Huawei Li, Xiaowei Li
MRFI: An Open Source Multi-Resolution Fault Injection Framework for Neural Network Processing. CoRR (2023)
Xinghua Xue, Cheng Liu, Haitong Huang, Ying Wang, Bing Yang, Tao Luo, Lei Zhang, Huawei Li, Xiaowei Li
ApproxABFT: Approximate Algorithm-Based Fault Tolerance for Vision Transformers. CoRR (2023)
Xinghua Xue, Cheng Liu, Bo Liu, Haitong Huang, Ying Wang, Tao Luo, Lei Zhang, Huawei Li, Xiaowei Li
Exploring Winograd Convolution for Cost-effective Neural Network Fault Tolerance. CoRR (2023)
Xinghua Xue, Haitong Huang, Cheng Liu, Tao Luo, Lei Zhang, Ying Wang
Winograd convolution: a perspective from fault tolerance. DAC (2022)
Haitong Huang, Xinghua Xue, Cheng Liu, Ying Wang, Tao Luo, Long Cheng, Huawei Li, Xiaowei Li
Statistical Modeling of Soft Error Influence on Neural Networks. CoRR (2022)
Xinghua Xue, Haitong Huang, Cheng Liu, Ying Wang, Tao Luo, Lei Zhang
Winograd Convolution: A Perspective from Fault Tolerance. CoRR (2022)