| Towards Energy Efficient Spiking Neural Networks: An Unstructured Pruning Framework X Shi, J Ding, Z Hao, Z Yu The Twelfth International Conference on Learning Representations, 2024 | 10 | 2024 |
| NeuroZoom: Denoising and super resolving neuromorphic events and spikes P Duan, Y Ma, X Zhou, X Shi, ZW Wang, T Huang, B Shi IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023 | 8 | 2023 |
| SpikingResformer: Bridging ResNet and Vision Transformer in Spiking Neural Networks X Shi, Z Hao, Z Yu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 5 | 2024 |
| 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 | 3 | 2023 |
| 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 | 2 | 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 ACM Multimedia 2024, 2024 | 1 | 2024 |
| LM-HT SNN: Enhancing the Performance of SNN to ANN Counterpart through Learnable Multi-hierarchical Threshold Model Z Hao, X Shi, Z Pan, Y Liu, Z Yu, T Huang arXiv preprint arXiv:2402.00411, 2024 | | 2024 |
