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Journal Articles
- 2024
[j9]Yaxin Li
, Xuanye Fang, Yuyuan Gao, Dongdong Zhou, Jiangrong Shen, Jian K. Liu, Gang Pan, Qi Xu:
Efficient Structure Slimming for Spiking Neural Networks. IEEE Trans. Artif. Intell. 5(8): 3823-3831 (2024)- [j8]Shuang Lian, Jiangrong Shen, Ziming Wang, Huajin Tang:
IM-LIF: Improved Neuronal Dynamics With Attention Mechanism for Direct Training Deep Spiking Neural Network. IEEE Trans. Emerg. Top. Comput. Intell. 8(2): 2075-2085 (2024) - [j7]Qi Xu, Yaxin Li, Jiangrong Shen, Pingping Zhang, Jian K. Liu, Huajin Tang, Gang Pan:
Hierarchical Spiking-Based Model for Efficient Image Classification With Enhanced Feature Extraction and Encoding. IEEE Trans. Neural Networks Learn. Syst. 35(7): 9277-9285 (2024) - 2023
- [j6]Wei Gao, Jiangrong Shen, Yipeng Lin, Kejun Wang, Zheng Lin, Huajin Tang, Xiaodong Chen:
Sequential sparse autoencoder for dynamic heading representation in ventral intraparietal area. Comput. Biol. Medicine 163: 107114 (2023) - [j5]Jianing Han, Ziming Wang, Jiangrong Shen, Huajin Tang:
Symmetric-threshold ReLU for Fast and Nearly Lossless ANN-SNN Conversion. Int. J. Autom. Comput. 20(3): 435-446 (2023) - [j4]Jiangrong Shen, Yu Zhao, Jian K. Liu, Yueming Wang:
HybridSNN: Combining Bio-Machine Strengths by Boosting Adaptive Spiking Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 34(9): 5841-5855 (2023) - 2022
- [j3]Qi Xu, Jiangrong Shen, Xuming Ran, Huajin Tang, Gang Pan, Jian K. Liu:
Robust Transcoding Sensory Information With Neural Spikes. IEEE Trans. Neural Networks Learn. Syst. 33(5): 1935-1946 (2022) - 2021
- [j2]Jiangrong Shen, Jian K. Liu, Yueming Wang:
Dynamic Spatiotemporal Pattern Recognition With Recurrent Spiking Neural Network. Neural Comput. 33(11): 2971-2995 (2021) - 2020
- [j1]Qi Xu, Jianxin Peng, Jiangrong Shen, Huajin Tang, Gang Pan:
Deep CovDenseSNN: A hierarchical event-driven dynamic framework with spiking neurons in noisy environment. Neural Networks 121: 512-519 (2020)
Conference and Workshop Papers
- 2024
- [c17]Jiangrong Shen, Wenyao Ni, Qi Xu, Huajin Tang:
Efficient Spiking Neural Networks with Sparse Selective Activation for Continual Learning. AAAI 2024: 611-619 - [c16]Tingting Jiang, Qi Xu, Xuming Ran, Jiangrong Shen, Pan Lv, Qiang Zhang, Gang Pan:
Adaptive deep spiking neural network with global-local learning via balanced excitatory and inhibitory mechanism. ICLR 2024 - [c15]Jianing Han, Jiangrong Shen, Qi Xu, Jian Liu, Huajin Tang:
The Balanced Multi-Modal Spiking Neural Networks with Online Loss Adjustment and Time Alignment. ICME 2024: 1-6 - [c14]Yaxin Li, Qi Xu, Jiangrong Shen, Hongming Xu, Long Chen, Gang Pan:
Towards efficient deep spiking neural networks construction with spiking activity based pruning. ICML 2024 - [c13]Qi Xu, Yaxin Li, Xuanye Fang, Jiangrong Shen, Qiang Zhang, Gang Pan:
Reversing Structural Pattern Learning with Biologically Inspired Knowledge Distillation for Spiking Neural Networks. ACM Multimedia 2024: 3431-3439 - [c12]Qi Xu, Xuanye Fang, Yaxin Li, Jiangrong Shen, De Ma, Yi Xu, Gang Pan:
RSNN: Recurrent Spiking Neural Networks for Dynamic Spatial-Temporal Information Processing. ACM Multimedia 2024: 10602-10610 - 2023
- [c11]Jiangrong Shen, Qi Xu, Jian K. Liu, Yueming Wang, Gang Pan, Huajin Tang:
ESL-SNNs: An Evolutionary Structure Learning Strategy for Spiking Neural Networks. AAAI 2023: 86-93 - [c10]Qi Xu, Yaxin Li, Jiangrong Shen, Jian K. Liu, Huajin Tang, Gang Pan:
Constructing Deep Spiking Neural Networks from Artificial Neural Networks with Knowledge Distillation. CVPR 2023: 7886-7895 - [c9]Shuang Lian, Jiangrong Shen, Qianhui Liu, Ziming Wang, Rui Yan, Huajin Tang:
Learnable Surrogate Gradient for Direct Training Spiking Neural Networks. IJCAI 2023: 3002-3010 - [c8]Xiaocui Lin, Jiangrong Shen, Jun Wen, Huajin Tang:
Bipolar Population Threshold Encoding for Audio Recognition with Deep Spiking Neural Networks. IJCNN 2023: 1-8 - [c7]Zihang Shao, Xuanye Fang, Yaxin Li, Chaoran Feng, Jiangrong Shen, Qi Xu:
EICIL: Joint Excitatory Inhibitory Cycle Iteration Learning for Deep Spiking Neural Networks. NeurIPS 2023 - [c6]Qi Xu, Yuyuan Gao, Jiangrong Shen, Yaxin Li, Xuming Ran, Huajin Tang, Gang Pan:
Enhancing Adaptive History Reserving by Spiking Convolutional Block Attention Module in Recurrent Neural Networks. NeurIPS 2023 - 2022
- [c5]Qi Xu, Dongdong Zhou, Jian Wang, Jiangrong Shen, Lauri Kettunen, Fengyu Cong:
Convolutional Neural Network Based Sleep Stage Classification with Class Imbalance. IJCNN 2022: 1-6 - 2020
- [c4]Jiangrong Shen, Yu Zhao, Jian K. Liu, Yueming Wang:
Recognizing Scoring in Basketball Game from AER Sequence by Spiking Neural Networks. IJCNN 2020: 1-8 - 2018
- [c3]Yu Qi, Jiangrong Shen, Yueming Wang, Huajin Tang, Hang Yu, Zhaohui Wu, Gang Pan:
Jointly Learning Network Connections and Link Weights in Spiking Neural Networks. IJCAI 2018: 1597-1603 - [c2]Qi Xu, Yu Qi, Hang Yu, Jiangrong Shen, Huajin Tang, Gang Pan:
CSNN: An Augmented Spiking based Framework with Perceptron-Inception. IJCAI 2018: 1646-1652 - 2017
- [c1]Jiangrong Shen, Kang Lin, Yueming Wang, Gang Pan:
Character recognition from trajectory by recurrent spiking neural networks. EMBC 2017: 2900-2903
Informal and Other Publications
- 2024
- [i8]Qi Xu, Yuyuan Gao, Jiangrong Shen, Yaxin Li, Xuming Ran, Huajin Tang, Gang Pan:
Enhancing Adaptive History Reserving by Spiking Convolutional Block Attention Module in Recurrent Neural Networks. CoRR abs/2401.03719 (2024) - [i7]Yaxin Li, Qi Xu, Jiangrong Shen, Hongming Xu, Long Chen, Gang Pan:
Towards Efficient Deep Spiking Neural Networks Construction with Spiking Activity based Pruning. CoRR abs/2406.01072 (2024) - [i6]Jiangrong Shen, Wenyao Ni, Qi Xu, Gang Pan, Huajin Tang:
Context Gating in Spiking Neural Networks: Achieving Lifelong Learning through Integration of Local and Global Plasticity. CoRR abs/2406.01883 (2024) - 2023
- [i5]Qi Xu, Yaxin Li, Jiangrong Shen, Jian K. Liu, Huajin Tang, Gang Pan:
Constructing Deep Spiking Neural Networks from Artificial Neural Networks with Knowledge Distillation. CoRR abs/2304.05627 (2023) - [i4]Di Hong, Jiangrong Shen, Yu Qi, Yueming Wang:
LaSNN: Layer-wise ANN-to-SNN Distillation for Effective and Efficient Training in Deep Spiking Neural Networks. CoRR abs/2304.09101 (2023) - [i3]Qi Xu, Yaxin Li, Xuanye Fang, Jiangrong Shen, Jian K. Liu, Huajin Tang, Gang Pan:
Biologically inspired structure learning with reverse knowledge distillation for spiking neural networks. CoRR abs/2304.09500 (2023) - [i2]Jiangrong Shen, Qi Xu, Jian K. Liu, Yueming Wang, Gang Pan, Huajin Tang:
ESL-SNNs: An Evolutionary Structure Learning Strategy for Spiking Neural Networks. CoRR abs/2306.03693 (2023) - [i1]Huajin Tang, Pengjie Gu, Jayawan H. B. Wijekoon, MHD Anas Alsakkal, Ziming Wang, Jiangrong Shen, Rui Yan:
Neuromorphic Auditory Perception by Neural Spiketrum. CoRR abs/2309.05430 (2023)
Coauthor Index
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