| Going deeper with directly-trained larger spiking neural networks H Zheng, Y Wu, L Deng, Y Hu, G Li Proceedings of the AAAI conference on artificial intelligence 35 (12), 11062 …, 2021 | 372 | 2021 |
| Attention spiking neural networks M Yao, G Zhao, H Zhang, Y Hu, L Deng, Y Tian, B Xu, G Li IEEE transactions on pattern analysis and machine intelligence, 2023 | 82 | 2023 |
| Comprehensive snn compression using admm optimization and activity regularization L Deng, Y Wu, Y Hu, L Liang, G Li, X Hu, Y Ding, P Li, Y Xie IEEE transactions on neural networks and learning systems 34 (6), 2791-2805, 2021 | 61 | 2021 |
| Advancing residual learning towards powerful deep spiking neural networks Y Hu, Y Wu, L Deng, G Li arXiv preprint arXiv:2112.08954 7, 2021 | 37 | 2021 |
| Advancing Spiking Neural Networks Toward Deep Residual Learning Y Hu, L Deng, Y Wu, M Yao, G Li IEEE Transactions on Neural Networks and Learning Systems, 2024 | 20 | 2024 |
| Deep directly-trained spiking neural networks for object detection Q Su, Y Chou, Y Hu, J Li, S Mei, Z Zhang, G Li Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 20 | 2023 |
| 脉冲神经网络研究进展综述 胡一凡， 李国齐， 吴郁杰， 邓磊 控制与决策, 2021 | 16 | 2021 |
| Rethinking pretraining as a bridge from anns to snns Y Lin, Y Hu, S Ma, D Yu, G Li IEEE Transactions on Neural Networks and Learning Systems, 2022 | 6 | 2022 |
| A Marr's Three‐Level Analytical Framework for Neuromorphic Electronic Systems Y Guo, X Zou, Y Hu, Y Yang, X Wang, Y He, R Kong, Y Guo, G Li, ... Advanced Intelligent Systems 3 (11), 2100054, 2021 | 3 | 2021 |
| Adaptive Synaptic Scaling in Spiking Networks for Continual Learning and Enhanced Robustness M Xu, F Liu, Y Hu, H Li, Y Wei, S Zhong, J Pei, L Deng IEEE Transactions on Neural Networks and Learning Systems, 2024 | | 2024 |
| Understanding the Functional Roles of Modelling Components in Spiking Neural Networks H Yin, H Zheng, J Mao, S Ding, X Liu, M Xu, Y Hu, J Pei, L Deng arXiv preprint arXiv:2403.16674, 2024 | | 2024 |
| Deep Directly-Trained Spiking Neural Networks for Object Detection (Supplementary Materials) Q Su, Y Chou, Y Hu, J Li, S Mei, Z Zhang, G Li | | |
