Suivre
Wenshuo Li
Wenshuo Li
Huawei Noah's Ark Lab
Adresse e-mail validée de huawei.com
Titre
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Citée par
Année
Exploring the regularity of sparse structure in convolutional neural networks
H Mao, S Han, J Pool, W Li, X Liu, Y Wang, WJ Dally
arXiv preprint arXiv:1705.08922, 2017
348*2017
Dsa: More efficient budgeted pruning via differentiable sparsity allocation
X Ning, T Zhao, W Li, P Lei, Y Wang, H Yang
European Conference on Computer Vision, 592-607, 2020
422020
Hu-fu: Hardware and software collaborative attack framework against neural networks
W Li, J Yu, X Ning, P Wang, Q Wei, Y Wang, H Yang
2018 IEEE Computer Society Annual Symposium on VLSI (ISVLSI), 482-487, 2018
402018
Neural network accelerator comparison
K Guo, W Li, K Zhong, Z Zhu, S Zeng, S Han, Y Xie, P Debacker, ...
NICS Lab of Tsinghua University. http://nicsefc. ee. tsinghua. edu. cn …, 2020
192020
Adversarial vision challenge
W Brendel, J Rauber, A Kurakin, N Papernot, B Veliqi, SP Mohanty, ...
The NeurIPS'18 Competition, 129-153, 2020
172020
FTT-NAS: Discovering fault-tolerant neural architecture
W Li, X Ning, G Ge, X Chen, Y Wang, H Yang
2020 25th Asia and South Pacific Design Automation Conference (ASP-DAC), 211-216, 2020
152020
Compressed cnn training with fpga-based accelerator
K Guo, S Liang, J Yu, X Ning, W Li, Y Wang, H Yang
Proceedings of the 2019 ACM/SIGDA International Symposium on Field …, 2019
132019
Evaluating efficient performance estimators of neural architectures
X Ning, C Tang, W Li, Z Zhou, S Liang, H Yang, Y Wang
Advances in Neural Information Processing Systems 34, 12265-12277, 2021
11*2021
Physical adversarial attack on vehicle detector in the carla simulator
T Wu, X Ning, W Li, R Huang, H Yang, Y Wang
arXiv preprint arXiv:2007.16118, 2020
112020
Soft error mitigation for deep convolution neural network on FPGA accelerators
W Li, G Ge, K Guo, X Chen, Q Wei, Z Gao, Y Wang, H Yang
2020 2nd IEEE International Conference on Artificial Intelligence Circuits …, 2020
72020
Learning student networks in the wild
H Chen, T Guo, C Xu, W Li, C Xu, C Xu, Y Wang
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
62021
FTT-NAS: Discovering fault-tolerant convolutional neural architecture
X Ning, G Ge, W Li, Z Zhu, Y Zheng, X Chen, Z Gao, Y Wang, H Yang
ACM Transactions on Design Automation of Electronic Systems (TODAES) 26 (6 …, 2021
52021
Multi-shot NAS for discovering adversarially robust convolutional neural architectures at targeted capacities
X Ning, J Zhao, W Li, T Zhao, H Yang, Y Wang
arXiv preprint arXiv:2012.11835, 2020
5*2020
Brain-inspired multilayer perceptron with spiking neurons
W Li, H Chen, J Guo, Z Zhang, Y Wang
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
32022
Winograd Algorithm for AdderNet
W Li, H Chen, M Huang, X Chen, C Xu, Y Wang
International Conference on Machine Learning, 6307-6315, 2021
32021
Reliable classification with ensemble convolutional neural networks
Z Gao, H Zhang, X Wei, T Yan, K Guo, W Li, Y Wang, P Reviriego
2020 IEEE International Symposium on Defect and Fault Tolerance in VLSI and …, 2020
32020
Reliability evaluation of pruned neural networks against errors on parameters
Z Gao, X Wei, H Zhang, W Li, G Ge, Y Wang, P Reviriego
2020 IEEE International Symposium on Defect and Fault Tolerance in VLSI and …, 2020
32020
aw_nas: A modularized and extensible nas framework
X Ning, C Tang, W Li, S Yang, T Zhao, N Zhang, T Lu, S Liang, H Yang, ...
arXiv preprint arXiv:2012.10388, 2020
22020
Searching for Energy-Efficient Hybrid Adder-Convolution Neural Networks
W Li, X Chen, J Bai, X Ning, Y Wang
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
2022
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