| 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 | 436 | 2021 |
| 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 | 328 | 2021 |
| SpikingJelly (GitHub) W Fang, Y Chen, J Ding, D Chen, Z Yu, H Zhou, Y Tian | 164* | 2020 |
| 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 | 143 | 2022 |
| 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 | 47 | 2023 |
| 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 | 45 | 2021 |
| 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 | 28 | 2022 |
| 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 | 27 | 2022 |
| 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 | 9 | 2023 |
| 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 | 7* | 2023 |
| 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 | 3 | 2023 |
| Optimal ANN-SNN Conversion with Group Neurons L Lv, W Fang, L Yuan, Y Tian ICASSP 2024, 2024 | | 2024 |
Zhaofei YuPeking UniversityVerified email at pku.edu.cn
