| Spikingformer: Spike-driven residual learning for transformer-based spiking neural network C Zhou, L Yu, Z Zhou, Z Ma, H Zhang, H Zhou, Y Tian arXiv preprint arXiv:2304.11954, 2023 | 31 | 2023 |
| BV-Net: Bin-based Vector-predicted Network for tubular solder joint detection C Zhou, X Shen, P Wang, W Wei, J Sun, Y Luo, Y Li Measurement 183, 109821, 2021 | 8 | 2021 |
| Enhancing the Performance of Transformer-based Spiking Neural Networks by SNN-optimized Downsampling with Precise Gradient Backpropagation C Zhou, H Zhang, Z Zhou, L Yu, Z Ma, H Zhou, X Fan, Y Tian arXiv preprint arXiv:2305.05954, 2023 | 7 | 2023 |
| ACR-Net: attention integrated and cross-spatial feature fused rotation network for tubular solder joint detection C Zhou, D Li, P Wang, J Sun, Y Huang, W Li IEEE Transactions on Instrumentation and Measurement 70, 1-12, 2021 | 6 | 2021 |
| SGLFormer: Spiking Global-Local-Fusion Transformer with high performance H Zhang, C Zhou, L Yu, L Huang, Z Ma, X Fan, H Zhou, Y Tian Frontiers in Neuroscience 18, 1371290, 2024 | 4 | 2024 |
| QKFormer: Hierarchical Spiking Transformer using QK Attention C Zhou, H Zhang, Z Zhou, L Yu, L Huang, X Fan, L Yuan, Z Ma, H Zhou, ... arXiv preprint arXiv:2403.16552, 2024 | 3 | 2024 |
| Direct Training High-Performance Deep Spiking Neural Networks: A Review of Theories and Methods C Zhou, H Zhang, L Yu, Y Ye, Z Zhou, L Huang, Z Ma, X Fan, H Zhou, ... arXiv preprint arXiv:2405.04289, 2024 | 2 | 2024 |
| SVFormer: A Direct Training Spiking Transformer for Efficient Video Action Recognition L Yu, L Huang, C Zhou, H Zhang, Z Ma, H Zhou, Y Tian arXiv preprint arXiv:2406.15034, 2024 | | 2024 |
| Learning Tri-mode Grasping for Ambidextrous Robot Picking C Zhou, P Wang, W Wei, G Xu, F Li, J Sun arXiv preprint arXiv:2302.06431, 2023 | | 2023 |
Yonghong TianProfessor, School of CS and School of ECE at Peking University, Pengcheng Laboratory, IEEE Fellow在 pku.edu.cn 的电子邮件经过验证
