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Yifan Hu
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Going deeper with directly-trained larger spiking neural networks
H Zheng, Y Wu, L Deng, Y Hu, G Li
Proceedings of the AAAI conference on artificial intelligence 35 (12), 11062 …, 2021
5232021
Attention spiking neural networks
M Yao, G Zhao, H Zhang, Y Hu, L Deng, Y Tian, B Xu, G Li
IEEE transactions on pattern analysis and machine intelligence 45 (8), 9393-9410, 2023
1742023
Advancing spiking neural networks toward deep residual learning
Y Hu, L Deng, Y Wu, M Yao, G Li
IEEE Transactions on Neural Networks and Learning Systems, 2024
120*2024
Comprehensive snn compression using admm optimization and activity regularization
L Deng, Y Wu, Y Hu, L Liang, G Li, X Hu, Y Ding, P Li, Y Xie
IEEE transactions on neural networks and learning systems 34 (6), 2791-2805, 2021
812021
Deep directly-trained spiking neural networks for object detection
Q Su, Y Chou, Y Hu, J Li, S Mei, Z Zhang, G Li
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023
772023
脉冲神经网络研究进展综述
胡一凡, 李国齐, 吴郁杰, 邓磊
控制与决策, 2021
232021
Rethinking pretraining as a bridge from anns to snns
Y Lin, Y Hu, S Ma, D Yu, G Li
IEEE Transactions on Neural Networks and Learning Systems, 2022
152022
A Marr's Three‐Level Analytical Framework for Neuromorphic Electronic Systems
Y Guo, X Zou, Y Hu, Y Yang, X Wang, Y He, R Kong, Y Guo, G Li, ...
Advanced Intelligent Systems 3 (11), 2100054, 2021
62021
Adaptive Synaptic Scaling in Spiking Networks for Continual Learning and Enhanced Robustness
M Xu, F Liu, Y Hu, H Li, Y Wei, S Zhong, J Pei, L Deng
IEEE Transactions on Neural Networks and Learning Systems, 2024
42024
Understanding the Functional Roles of Modelling Components in Spiking Neural Networks
H Yin, H Zheng, J Mao, S Ding, X Liu, M Xu, Y Hu, J Pei, L Deng
arXiv preprint arXiv:2403.16674, 2024
22024
Spike attention coding for spiking neural networks
J Liu, Y Hu, G Li, J Pei, L Deng
IEEE Transactions on Neural Networks and Learning Systems, 2023
22023
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Articles 1–11