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 | 25 | 2024 |
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 | 16 | 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 45 (12 …, 2023 | 13 | 2023 |
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 | 10 | 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 | 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 | 4 | 2024 |
LM-HT SNN: Enhancing the performance of SNN to ANN counterpart through learnable multi-hierarchical threshold model Z Hao, X Shi, Y Liu, Z Yu, T Huang arXiv preprint arXiv:2402.00411, 2024 | 4 | 2024 |
Spiking Transformer with Experts Mixture Z Zhou, Y Lu, Y Jia, K Che, J Niu, L Huang, X Shi, Y Zhu, G Li, Z Yu, ... Advances in Neural Information Processing Systems 37, 10036-10059, 2025 | | 2025 |