Character recognition from trajectory by recurrent spiking neural networks. - Jiangrong Shen; Kang Lin; Yueming Wang 001; Gang Pan 001 (EMBC, 2017)

Jointly Learning Network Connections and Link Weights in Spiking Neural Networks. - Yu Qi; Jiangrong Shen; Yueming Wang 001; Huajin Tang; Hang Yu 010; Zhaohui Wu 001; Gang Pan 001 (IJCAI, 2018)

CSNN: An Augmented Spiking based Framework with Perceptron-Inception. - Qi Xu; Yu Qi; Hang Yu 010; Jiangrong Shen; Huajin Tang; Gang Pan 001 (IJCAI, 2018)

Recognizing Scoring in Basketball Game from AER Sequence by Spiking Neural Networks. - Jiangrong Shen; Yu Zhao; Jian K. Liu; Yueming Wang 001 (IJCNN, 2020)

Deep CovDenseSNN: A hierarchical event-driven dynamic framework with spiking neurons in noisy environment. - Qi Xu; Jianxin Peng; Jiangrong Shen; Huajin Tang; Gang Pan 001 (Neural Networks, 2020)

Dynamic Spatiotemporal Pattern Recognition With Recurrent Spiking Neural Network. - Jiangrong Shen; Jian K. Liu; Yueming Wang 001 (Neural Comput., 2021)

Convolutional Neural Network Based Sleep Stage Classification with Class Imbalance. - Qi Xu; Dongdong Zhou; Jian Wang 112; Jiangrong Shen; Lauri Kettunen; Fengyu Cong (IJCNN, 2022)

Robust Transcoding Sensory Information With Neural Spikes. - Qi Xu; Jiangrong Shen; Xuming Ran; Huajin Tang; Gang Pan 001; Jian K. Liu (IEEE Trans. Neural Networks Learn. Syst., 2022)

ESL-SNNs: An Evolutionary Structure Learning Strategy for Spiking Neural Networks. - Jiangrong Shen; Qi Xu; Jian K. Liu; Yueming Wang 001; Gang Pan 001; Huajin Tang (AAAI, 2023)

Constructing Deep Spiking Neural Networks from Artificial Neural Networks with Knowledge Distillation. - Qi Xu; Yaxin Li; Jiangrong Shen; Jian K. Liu; Huajin Tang; Gang Pan 001 (CVPR, 2023)

Learnable Surrogate Gradient for Direct Training Spiking Neural Networks. - Shuang Lian; Jiangrong Shen; Qianhui Liu; Ziming Wang; Rui Yan 005; Huajin Tang (IJCAI, 2023)

Bipolar Population Threshold Encoding for Audio Recognition with Deep Spiking Neural Networks. - Xiaocui Lin; Jiangrong Shen; Jun Wen; Huajin Tang (IJCNN, 2023)

EICIL: Joint Excitatory Inhibitory Cycle Iteration Learning for Deep Spiking Neural Networks. - Zihang Shao; Xuanye Fang; Yaxin Li; Chaoran Feng 001; Jiangrong Shen; Qi Xu (NeurIPS, 2023)

Enhancing Adaptive History Reserving by Spiking Convolutional Block Attention Module in Recurrent Neural Networks. - Qi Xu; Yuyuan Gao; Jiangrong Shen; Yaxin Li; Xuming Ran; Huajin Tang; Gang Pan 001 (NeurIPS, 2023)

LaSNN: Layer-wise ANN-to-SNN Distillation for Effective and Efficient Training in Deep Spiking Neural Networks. - Di Hong; Jiangrong Shen; Yu Qi; Yueming Wang 001 (CoRR, 2023)

Biologically inspired structure learning with reverse knowledge distillation for spiking neural networks. - Qi Xu; Yaxin Li; Xuanye Fang; Jiangrong Shen; Jian K. Liu; Huajin Tang; Gang Pan 001 (CoRR, 2023)

Neuromorphic Auditory Perception by Neural Spiketrum. - Huajin Tang; Pengjie Gu; Jayawan H. B. Wijekoon; MHD Anas Alsakkal; Ziming Wang; Jiangrong Shen; Rui Yan 005 (CoRR, 2023)

Symmetric-threshold ReLU for Fast and Nearly Lossless ANN-SNN Conversion. - Jianing Han; Ziming Wang; Jiangrong Shen; Huajin Tang (Int. J. Autom. Comput., 2023)

Sequential sparse autoencoder for dynamic heading representation in ventral intraparietal area. - Wei Gao; Jiangrong Shen; Yipeng Lin; Kejun Wang; Zheng Lin; Huajin Tang; Xiaodong Chen (Comput. Biol. Medicine, 2023)

HybridSNN: Combining Bio-Machine Strengths by Boosting Adaptive Spiking Neural Networks. - Jiangrong Shen; Yu Zhao; Jian K. Liu; Yueming Wang 001 (IEEE Trans. Neural Networks Learn. Syst., 2023)

Efficient Spiking Neural Networks with Sparse Selective Activation for Continual Learning. - Jiangrong Shen; Wenyao Ni; Qi Xu; Huajin Tang (AAAI, 2024)

Adaptive deep spiking neural network with global-local learning via balanced excitatory and inhibitory mechanism. - Tingting Jiang; Qi Xu; Xuming Ran; Jiangrong Shen; Pan Lv; Qiang Zhang 008; Gang Pan 001 (ICLR, 2024)

The Balanced Multi-Modal Spiking Neural Networks with Online Loss Adjustment and Time Alignment. - Jianing Han; Jiangrong Shen; Qi Xu; Jian K. Liu; Huajin Tang (ICME, 2024)

Towards efficient deep spiking neural networks construction with spiking activity based pruning. - Yaxin Li; Qi Xu; Jiangrong Shen; Hongming Xu 002; Long Chen 019; Gang Pan 001 (ICML, 2024)

RSNN: Recurrent Spiking Neural Networks for Dynamic Spatial-Temporal Information Processing. - Qi Xu; Xuanye Fang; Yaxin Li; Jiangrong Shen; De Ma; Yi Xu 008; Gang Pan 001 (ACM Multimedia, 2024)

Reversing Structural Pattern Learning with Biologically Inspired Knowledge Distillation for Spiking Neural Networks. - Qi Xu; Yaxin Li; Xuanye Fang; Jiangrong Shen; Qiang Zhang 008; Gang Pan 001 (ACM Multimedia, 2024)

SpikingMiniLM: energy-efficient spiking transformer for natural language understanding. - Jiayu Zhang; Jiangrong Shen; Zeke Wang; Qinghai Guo; Rui Yan 005; Gang Pan 001; Huajin Tang (Sci. China Inf. Sci., 2024)

IM-LIF: Improved Neuronal Dynamics With Attention Mechanism for Direct Training Deep Spiking Neural Network. - Shuang Lian; Jiangrong Shen; Ziming Wang; Huajin Tang (IEEE Trans. Emerg. Top. Comput. Intell., 2024)

Hierarchical Spiking-Based Model for Efficient Image Classification With Enhanced Feature Extraction and Encoding. - Qi Xu; Yaxin Li; Jiangrong Shen; Pingping Zhang; Jian K. Liu; Huajin Tang; Gang Pan 001 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Efficient Structure Slimming for Spiking Neural Networks. - Yaxin Li; Xuanye Fang; Yuyuan Gao; Dongdong Zhou; Jiangrong Shen; Jian K. Liu; Gang Pan 001; Qi Xu (IEEE Trans. Artif. Intell., 2024)

SpikingYOLOX: Improved YOLOX Object Detection with Fast Fourier Convolution and Spiking Neural Networks. - Wei Miao; Jiangrong Shen; Qi Xu; Timo Hämäläinen 002; Yi Xu 008; Fengyu Cong (AAAI, 2025)

ALADE-SNN: Adaptive Logit Alignment in Dynamically Expandable Spiking Neural Networks for Class Incremental Learning. - Wenyao Ni; Jiangrong Shen; Qi Xu; Huajin Tang (AAAI, 2025)

Improving the Sparse Structure Learning of Spiking Neural Networks from the View of Compression Efficiency. - Jiangrong Shen; Qi Xu; Gang Pan 001; Badong Chen (ICLR, 2025)

Context gating in spiking neural networks: Achieving lifelong learning through integration of local and global plasticity. - Jiangrong Shen; Wenyao Ni; Qi Xu; Gang Pan 001; Huajin Tang (Knowl. Based Syst., 2025)

Temporal spiking generative adversarial networks for heading direction decoding. - Jiangrong Shen; Kejun Wang; Wei Gao; Jian K. Liu; Qi Xu; Gang Pan 001; Xiaodong Chen; Huajin Tang (Neural Networks, 2025)

Neuromorphic Auditory Perception by Neural Spiketrum. - Huajin Tang; Pengjie Gu; Jayawan H. B. Wijekoon; MHD Anas Alsakkal; Ziming Wang; Jiangrong Shen; Rui Yan 005; Gang Pan 001 (IEEE Trans. Emerg. Top. Comput. Intell., 2025)

Robust Sensory Information Reconstruction and Classification With Augmented Spikes. - Qi Xu; Sibo Liu; Xuming Ran; Yaxin Li; Jiangrong Shen; Huajin Tang; Jian K. Liu; Gang Pan 001; Qiang Zhang 008 (IEEE Trans. Neural Networks Learn. Syst., 2025)

Hybrid Spiking Vision Transformer for Object Detection with Event Cameras. - Qi Xu; Jie Deng; Jiangrong Shen; Biwu Chen; Huajin Tang; Gang Pan 001 (CoRR, 2025)

Self-cross Feature based Spiking Neural Networks for Efficient Few-shot Learning. - Qi Xu; Junyang Zhu; Dongdong Zhou; Hao Chen; Yang Liu; Jiangrong Shen; Qiang Zhang 008 (CoRR, 2025)

Spiking Neural Networks with Temporal Attention-Guided Adaptive Fusion for imbalanced Multi-modal Learning. - Jiangrong Shen; Yulin Xie; Qi Xu; Gang Pan 001; Huajin Tang; Badong Chen (CoRR, 2025)

Efficient ANN-SNN Conversion with Error Compensation Learning. - Chang Liu; Jiangrong Shen; Xuming Ran; Mingkun Xu; Qi Xu; Yi Xu 008; Gang Pan 001 (CoRR, 2025)

BAUODNET for Class Imbalance Learning in Underwater Object Detection. - Long Chen 019; Haohan Yu; Xirui Dong; Yaxin Li; Jialie Shen 001; Jiangrong Shen; Qi Xu (IEEE Trans. Emerg. Top. Comput. Intell., 2025)