| 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 arXiv preprint arXiv:2303.04347, 2023 | 246 | 2023 |
| Optimized potential initialization for low-latency spiking neural networks T Bu, J Ding, Z Yu, T Huang Proceedings of the AAAI conference on artificial intelligence 36 (1), 11-20, 2022 | 103 | 2022 |
| Reducing ann-snn conversion error through residual membrane potential Z Hao, T Bu, J Ding, T Huang, Z Yu Proceedings of the AAAI conference on artificial intelligence 37 (1), 11-21, 2023 | 60 | 2023 |
| Bridging the gap between anns and snns by calibrating offset spikes Z Hao, J Ding, T Bu, T Huang, Z Yu arXiv preprint arXiv:2302.10685, 2023 | 45 | 2023 |
| Snn-rat: Robustness-enhanced spiking neural network through regularized adversarial training J Ding, T Bu, Z Yu, T Huang, J Liu Advances in Neural Information Processing Systems 35, 24780-24793, 2022 | 31 | 2022 |
| Rate gradient approximation attack threats deep spiking neural networks T Bu, J Ding, Z Hao, Z Yu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 20 | 2023 |
| Decoding pixel-level image features from two-photon calcium signals of macaque visual cortex Y Zhang, T Bu, J Zhang, S Tang, Z Yu, JK Liu, T Huang Neural Computation 34 (6), 1369-1397, 2022 | 14 | 2022 |
| A progressive training framework for spiking neural networks with learnable multi-hierarchical model Z Hao, X Shi, Z Huang, T Bu, Z Yu, T Huang The Twelfth International Conference on Learning Representations, 2023 | 9 | 2023 |
| Robust decoding of rich dynamical visual scenes with retinal spikes Z Yu, T Bu, Y Zhang, S Jia, T Huang, JK Liu IEEE Transactions on Neural Networks and Learning Systems, 2024 | 6 | 2024 |
| Threaten spiking neural networks through combining rate and temporal information Z Hao, T Bu, X Shi, Z Huang, Z Yu, T Huang The Twelfth International Conference on Learning Representations, 2023 | 5 | 2023 |
| Towards High-performance Spiking Transformers from ANN to SNN Conversion Z Huang, X Shi, Z Hao, T Bu, J Ding, Z Yu, T Huang Proceedings of the 32nd ACM International Conference on Multimedia, 10688-10697, 2024 | 3 | 2024 |
| Training-free Conversion of Pretrained ANNs to SNNs for Low-Power and High-Performance Applications T Bu, M Li, Z Yu arXiv preprint arXiv:2409.03368, 2024 | 1 | 2024 |
| Enhancing adversarial robustness in SNNs with sparse gradients Y Liu, T Bu, J Ding, Z Hao, T Huang, Z Yu arXiv preprint arXiv:2405.20355, 2024 | 1 | 2024 |
| Ultrafast Probabilistic Neuron in an Artificial Spin Ice for Robust Deep Neural Networks Z Liang, T Bu, Z Lyu, Z Liu, A Hrabec, L Wang, Y Dou, J Ding, P Ge, ... Advanced Functional Materials, 2417334, 2024 | | 2024 |
| Training Adversarially Robust SNNs with Gradient Sparsity Regularization Y Liu, T Bu, Z Yu, T Huang | | |
Zhaofei YuPeking UniversityEmail yang diverifikasi di pku.edu.cn