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Wenshuo Li
Wenshuo Li
Huawei Noah's Ark Lab
Verified email at huawei.com
Title
Cited by
Cited by
Year
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
495*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
1202020
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
87*2021
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
692018
Adversarial vision challenge
W Brendel, J Rauber, A Kurakin, N Papernot, B Veliqi, SP Mohanty, ...
The NeurIPS'18 Competition: From Machine Learning to Intelligent …, 2020
652020
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
532020
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
412020
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 …, 2021
322021
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
312022
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
312021
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
212019
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
202020
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
182021
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
172020
Discovering robust convolutional architecture at targeted capacity: A multi-shot approach
X Ning, J Zhao, W Li, T Zhao, Y Zheng, H Yang, Y Wang
arXiv preprint arXiv:2012.11835, 2020
15*2020
Winograd algorithm for addernet
W Li, H Chen, M Huang, X Chen, C Xu, Y Wang
International Conference on Machine Learning, 6307-6315, 2021
122021
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
72020
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
62022
Tinysam: Pushing the envelope for efficient segment anything model
H Shu, W Li, Y Tang, Y Zhang, Y Chen, H Li, Y Wang, X Chen
arXiv preprint arXiv:2312.13789, 2023
42023
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
42020
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