Shrinking Your TimeStep: Towards Low-Latency Neuromorphic Object Recognition with Spiking Neural Networks Y Ding, L Zuo, M Jing, P He, Y Xiao Proceedings of the AAAI Conference on Artificial Intelligence 38 (10), 11811 …, 2024 | 7 | 2024 |
An improved probabilistic spiking neural network with enhanced discriminative ability Y Ding, L Zuo, K Yang, Z Chen, J Hu, T Xiahou Knowledge-Based Systems 280, 111024, 2023 | 6 | 2023 |
Self-Distillation Learning Based on Temporal-Spatial Consistency for Spiking Neural Networks L Zuo, Y Ding, M Jing, K Yang, Y Yu arXiv preprint arXiv:2406.07862, 2024 | 1 | 2024 |
Toward End-to-End Bearing Fault Diagnosis for Industrial Scenarios with Spiking Neural Networks Y Ding, L Zuo, M Jing, K Yang, B Chen, Y Yu arXiv preprint arXiv:2408.11067, 2024 | | 2024 |
Temporal Reversed Training for Spiking Neural Networks with Generalized Spatio-Temporal Representation L Zuo, Y Ding, W Luo, M Jing, X Tian, K Yang arXiv preprint arXiv:2408.09108, 2024 | | 2024 |
Graph Neural Network-Based Structured Scene Graph Generation for Efficient Wildfire Detection Y Ye, S Luo, MM Jing, Y Ding, K He, L Zuo International Conference on Intelligent Computing, 356-367, 2024 | | 2024 |
Multi-Bit Mechanism: A Novel Information Transmission Paradigm for Spiking Neural Networks Y Xiao, X Tian, Y Ding, P He, M Jing, L Zuo arXiv preprint arXiv:2407.05739, 2024 | | 2024 |
Flexible ViG: Learning the Self-Saliency for Flexible Object Recognition L Zuo, K Yang, X Tian, K He, Y Ding, M Jing arXiv preprint arXiv:2406.18585, 2024 | | 2024 |