Jiangrong Shen

Orcid: 0000-0003-3683-3779

According to our database1, Jiangrong Shen authored at least 22 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

On csauthors.net:

Bibliography

2024
IM-LIF: Improved Neuronal Dynamics With Attention Mechanism for Direct Training Deep Spiking Neural Network.
IEEE Trans. Emerg. Top. Comput. Intell., April, 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

Symmetric-threshold ReLU for Fast and Nearly Lossless ANN-SNN Conversion.
Int. J. Autom. Comput., 2023

Neuromorphic Auditory Perception by Neural Spiketrum.
CoRR, 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

Learnable Surrogate Gradient for Direct Training Spiking Neural Networks.
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

ESL-SNNs: An Evolutionary Structure Learning Strategy for Spiking Neural Networks.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Robust Transcoding Sensory Information With Neural Spikes.
IEEE Trans. Neural Networks Learn. Syst., 2022

Convolutional Neural Network Based Sleep Stage Classification with Class Imbalance.
Proceedings of the International Joint Conference on Neural Networks, 2022

2021
Dynamic Spatiotemporal Pattern Recognition With Recurrent Spiking Neural Network.
Neural Comput., 2021

2020
Deep CovDenseSNN: A hierarchical event-driven dynamic framework with spiking neurons in noisy environment.
Neural Networks, 2020

Recognizing Scoring in Basketball Game from AER Sequence by Spiking Neural Networks.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

2018
CSNN: An Augmented Spiking based Framework with Perceptron-Inception.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Jointly Learning Network Connections and Link Weights in Spiking Neural Networks.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

2017
Character recognition from trajectory by recurrent spiking neural networks.
Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017


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