| Csnn: an augmented spiking based framework with perceptron-inception. Q Xu, Y Qi, H Yu, J Shen, H Tang, G Pan IJCAI 1646, 2018 | 72 | 2018 |
| Constructing deep spiking neural networks from artificial neural networks with knowledge distillation Q Xu, Y Li, J Shen, JK Liu, H Tang, G Pan Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 66 | 2023 |
| Deep CovDenseSNN: A hierarchical event-driven dynamic framework with spiking neurons in noisy environment Q Xu, J Peng, J Shen, H Tang, G Pan Neural Networks 121, 512-519, 2020 | 51 | 2020 |
| 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 | 43 | 2022 |
| ESL-SNNs: An Evolutionary Structure Learning Strategy For Spiking Neural Networks Jiangrong Shen, Qi Xu, Jian K. Liu, Yueming Wang, Gang Pan, Huajin Tang Proceedings of the AAAI Conference on Artificial Intelligence 37, 2023 | 39 | 2023 |
| Robust transcoding sensory information with neural spikes Q Xu, J Shen, X Ran, H Tang, G Pan, JK Liu IEEE Transactions on Neural Networks and Learning Systems 33 (5), 1935-1946, 2021 | 39 | 2021 |
| Jointly learning network connections and link weights in spiking neural networks. Y Qi, J Shen, Y Wang, H Tang, H Yu, Z Wu, G Pan IJCAI, 1597-1603, 2018 | 32 | 2018 |
| HybridSNN: Combining bio-machine strengths by boosting adaptive spiking neural networks J Shen, Y Zhao, JK Liu, Y Wang IEEE Transactions on Neural Networks and Learning Systems 34 (9), 5841-5855, 2021 | 23 | 2021 |
| Dynamic spatiotemporal pattern recognition with recurrent spiking neural network J Shen, JK Liu, Y Wang Neural Computation 33 (11), 2971-2995, 2021 | 20 | 2021 |
| Learnable Surrogate Gradient for Direct Training Spiking Neural Networks. S Lian, J Shen, Q Liu, Z Wang, R Yan, H Tang IJCAI, 3002-3010, 2023 | 16 | 2023 |
| 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 | 16 | 2023 |
| Symmetric-threshold ReLU for fast and nearly lossless ANN-SNN conversion J Han, Z Wang, J Shen, H Tang Machine Intelligence Research 20 (3), 435-446, 2023 | 13 | 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 | 11 | 2024 |
| Efficient spiking neural networks with sparse selective activation for continual learning J Shen, W Ni, Q Xu, H Tang Proceedings of the AAAI Conference on Artificial Intelligence 38 (1), 611-619, 2024 | 10 | 2024 |
| Recognizing scoring in basketball game from AER sequence by spiking neural networks J Shen, Y Zhao, JK Liu, Y Wang 2020 international joint conference on neural networks (IJCNN), 1-8, 2020 | 10 | 2020 |
| Character recognition from trajectory by recurrent spiking neural networks J Shen, K Lin, Y Wang, G Pan 2017 39th Annual International Conference of the IEEE Engineering in …, 2017 | 7 | 2017 |
| 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 | 6 | 2024 |
| IM-LIF: Improved Neuronal Dynamics With Attention Mechanism for Direct Training Deep Spiking Neural Network S Lian, J Shen, Z Wang, H Tang IEEE Transactions on Emerging Topics in Computational Intelligence, 2024 | 5 | 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 | 5 | 2023 |
| Convolutional neural network based sleep stage classification with class imbalance Q Xu, D Zhou, J Wang, J Shen, L Kettunen, F Cong 2022 International Joint Conference on Neural Networks (IJCNN), 1-6, 2022 | 5 | 2022 |
