| Constructing Deep Spiking Neural Networks from Artificial Neural Networks with Knowledge Distillation Qi Xu, Yaxin Li, Jiangrong Shen, Jian K Liu, Huajin Tang, Gang Pan Proceedings of the IEEE conference on computer vision and pattern recognition, 2023 | 40* | 2023 |
| Hierarchical spiking-based model for efficient image classification with enhanced feature extraction and encoding Q Xu, Y Li, J Shen, P Zhang, JK Liu, H Tang, G Pan IEEE Transactions on Neural Networks and Learning Systems, 2022 | 31 | 2022 |
| Biologically inspired structure learning with reverse knowledge distillation for spiking neural networks Q Xu, Y Li, X Fang, J Shen, JK Liu, H Tang, G Pan arXiv preprint arXiv:2304.09500, 2023 | 14 | 2023 |
| Enhancing adaptive history reserving by spiking convolutional block attention module in recurrent neural networks Q Xu, Y Gao, J Shen, Y Li, X Ran, H Tang, G Pan Advances in Neural Information Processing Systems 36, 2024 | 4 | 2024 |
| Efficient structure slimming for spiking neural networks Y Li, X Fang, Y Gao, D Zhou, J Shen, JK Liu, G Pan, Q Xu IEEE Transactions on Artificial Intelligence, 2024 | 2 | 2024 |
| EICIL: joint excitatory inhibitory cycle iteration learning for deep spiking neural networks Z Shao, X Fang, Y Li, C Feng, J Shen, Q Xu Advances in Neural Information Processing Systems 36, 32117-32128, 2023 | 2 | 2023 |
| Towards efficient deep spiking neural networks construction with spiking activity based pruning Y Li, Q Xu, J Shen, H Xu, L Chen, G Pan arXiv preprint arXiv:2406.01072, 2024 | 1 | 2024 |
| Robust Sensory Information Reconstruction and Classification With Augmented Spikes Q Xu, S Liu, X Ran, Y Li, J Shen, H Tang, JK Liu, G Pan, Q Zhang IEEE Transactions on Neural Networks and Learning Systems, 2024 | | 2024 |
| 面向图像识别的多层脉冲神经网络学习算法综述 李雅馨， 申江荣， 徐齐 中国图象图形学报, 2023 | | 2023 |
