Jiangrong Shen
Orcid: 0000-0003-3683-3779
According to our database1,
Jiangrong Shen
authored at least 30 papers
between 2017 and 2024.
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Bibliography
2024
IEEE Trans. Artif. Intell., August, 2024
Hierarchical Spiking-Based Model for Efficient Image Classification With Enhanced Feature Extraction and Encoding.
IEEE Trans. Neural Networks Learn. Syst., July, 2024
IM-LIF: Improved Neuronal Dynamics With Attention Mechanism for Direct Training Deep Spiking Neural Network.
IEEE Trans. Emerg. Top. Comput. Intell., April, 2024
Context Gating in Spiking Neural Networks: Achieving Lifelong Learning through Integration of Local and Global Plasticity.
CoRR, 2024
Reversing Structural Pattern Learning with Biologically Inspired Knowledge Distillation for Spiking Neural Networks.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024
RSNN: Recurrent Spiking Neural Networks for Dynamic Spatial-Temporal Information Processing.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024
Towards efficient deep spiking neural networks construction with spiking activity based pruning.
Proceedings of the Forty-first International Conference on Machine Learning, 2024
The Balanced Multi-Modal Spiking Neural Networks with Online Loss Adjustment and Time Alignment.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2024
Adaptive deep spiking neural network with global-local learning via balanced excitatory and inhibitory mechanism.
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Efficient Spiking Neural Networks with Sparse Selective Activation for Continual Learning.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
HybridSNN: Combining Bio-Machine Strengths by Boosting Adaptive Spiking Neural Networks.
IEEE Trans. Neural Networks Learn. Syst., September, 2023
Sequential sparse autoencoder for dynamic heading representation in ventral intraparietal area.
Comput. Biol. Medicine, September, 2023
Int. J. Autom. Comput., 2023
Biologically inspired structure learning with reverse knowledge distillation for spiking neural networks.
CoRR, 2023
LaSNN: Layer-wise ANN-to-SNN Distillation for Effective and Efficient Training in Deep Spiking Neural Networks.
CoRR, 2023
Enhancing Adaptive History Reserving by Spiking Convolutional Block Attention Module in Recurrent Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
EICIL: Joint Excitatory Inhibitory Cycle Iteration Learning for Deep Spiking Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Bipolar Population Threshold Encoding for Audio Recognition with Deep Spiking Neural Networks.
Proceedings of the International Joint Conference on Neural Networks, 2023
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023
Constructing Deep Spiking Neural Networks from Artificial Neural Networks with Knowledge Distillation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
IEEE Trans. Neural Networks Learn. Syst., 2022
Proceedings of the International Joint Conference on Neural Networks, 2022
2021
Neural Comput., 2021
2020
Deep CovDenseSNN: A hierarchical event-driven dynamic framework with spiking neurons in noisy environment.
Neural Networks, 2020
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
2018
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018
2017
Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017