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Wei Fang (方维)
Wei Fang (方维)
在 pku.edu.cn 的电子邮件经过验证 - 首页
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Incorporating learnable membrane time constant to enhance learning of spiking neural networks
W Fang, Z Yu, Y Chen, T Masquelier, T Huang, Y Tian
Proceedings of the IEEE/CVF international conference on computer vision …, 2021
3842021
Deep residual learning in spiking neural networks
W Fang, Z Yu, Y Chen, T Huang, T Masquelier, Y Tian
Advances in Neural Information Processing Systems 34, 21056-21069, 2021
2902021
Optimal ANN-SNN conversion for high-accuracy and ultra-low-latency spiking neural networks
T Bu, W Fang, J Ding, PL Dai, Z Yu, T Huang
International Conference on Learning Representations, 2022
1202022
Spikingjelly
W Fang, Y Chen, J Ding, D Chen, Z Yu
https://github.com/fangwei123456/spikingjelly, 2020
622020
Pruning of deep spiking neural networks through gradient rewiring
Y Chen, Z Yu, W Fang, T Huang, Y Tian
Proceedings of the Thirtieth International Joint Conference on Artificial …, 2021
432021
SpikingJelly: An open-source machine learning infrastructure platform for spike-based intelligence
W Fang, Y Chen, J Ding, Z Yu, T Masquelier, D Chen, L Huang, H Zhou, ...
Science Advances 9 (40), eadi1480, 2023
242023
Training spiking neural networks with event-driven backpropagation
Y Zhu, Z Yu, W Fang, X Xie, T Huang, T Masquelier
Advances in Neural Information Processing Systems 35, 30528-30541, 2022
232022
State transition of dendritic spines improves learning of sparse spiking neural networks
Y Chen, Z Yu, W Fang, Z Ma, T Huang, Y Tian
International Conference on Machine Learning, 3701-3715, 2022
222022
A Unified Framework for Soft Threshold Pruning
Y Chen, Z Ma, W Fang, X Zheng, Z Yu, Y Tian
The Eleventh International Conference on Learning Representations, 2023
82023
Parallel Spiking Neurons with High Efficiency and Ability to Learn Long-term Dependencies
W Fang, Z Yu, Z Zhou, D Chen, Y Chen, Z Ma, T Masquelier, Y Tian
Advances in Neural Information Processing Systems, 2023
22023
Exploring Loss Functions for Time-based Training Strategy in Spiking Neural Networks
Y Zhu, W Fang, X Xie, T Huang, Z Yu
Advances in Neural Information Processing Systems, 2023
2023
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