| 2025 | AAAI | SpikingYOLOX: Improved YOLOX Object Detection with Fast Fourier Convolution and Spiking Neural Networks. | Wei Miao, Jiangrong Shen, Qi Xu, Timo Hmlinen, Yi Xu, Fengyu Cong |
| 2025 | AAAI | ALADE-SNN: Adaptive Logit Alignment in Dynamically Expandable Spiking Neural Networks for Class Incremental Learning. | Wenyao Ni, Jiangrong Shen, Qi Xu, Huajin Tang |
| 2025 | EMNLP | Structural Reward Model: Enhancing Interpretability, Efficiency, and Scalability in Reward Modeling. | Xiaoyu Liu, Di Liang, Hongyu Shan, Peiyang Liu, Yonghao Liu, Muling Wu, Yuntao Li, Xianjie Wu, Li Miao, Jiangrong Shen, Minlong Peng |
| 2025 | ICLR | Improving the Sparse Structure Learning of Spiking Neural Networks from the View of Compression Efficiency. | Jiangrong Shen, Qi Xu, Gang Pan, Badong Chen |
| 2025 | ICML | Hybrid Spiking Vision Transformer for Object Detection with Event Cameras. | Qi Xu, Jie Deng, Jiangrong Shen, Biwu Chen, Huajin Tang, Gang Pan |
| 2025 | ICML | 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 |
| 2025 | ICML | Efficient ANN-SNN Conversion with Error Compensation Learning. | Chang Liu, Jiangrong Shen, Xuming Ran, Mingkun Xu, Qi Xu, Yi Xu, Gang Pan |
| 2024 | AAAI | Efficient Spiking Neural Networks with Sparse Selective Activation for Continual Learning. | Jiangrong Shen, Wenyao Ni, Qi Xu, Huajin Tang |
| 2024 | ICLR | 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, Gang Pan |
| 2024 | ICML | Towards efficient deep spiking neural networks construction with spiking activity based pruning. | Yaxin Li, Qi Xu, Jiangrong Shen, Hongming Xu, Long Chen, Gang Pan |
| 2023 | AAAI | ESL-SNNs: An Evolutionary Structure Learning Strategy for Spiking Neural Networks. | Jiangrong Shen, Qi Xu, Jian K. Liu, Yueming Wang, Gang Pan, Huajin Tang |
| 2023 | CVPR | 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 |
| 2023 | IJCAI | Learnable Surrogate Gradient for Direct Training Spiking Neural Networks. | Shuang Lian, Jiangrong Shen, Qianhui Liu, Ziming Wang, Rui Yan, Huajin Tang |
| 2023 | IJCNN | Bipolar Population Threshold Encoding for Audio Recognition with Deep Spiking Neural Networks. | Xiaocui Lin, Jiangrong Shen, Jun Wen, Huajin Tang |
| 2022 | IJCNN | Convolutional Neural Network Based Sleep Stage Classification with Class Imbalance. | Qi Xu, Dongdong Zhou, Jian Wang, Jiangrong Shen, Lauri Kettunen, Fengyu Cong |
| 2020 | IJCNN | Recognizing Scoring in Basketball Game from AER Sequence by Spiking Neural Networks. | Jiangrong Shen, Yu Zhao, Jian K. Liu, Yueming Wang |
| 2018 | IJCAI | Jointly Learning Network Connections and Link Weights in Spiking Neural Networks. | Yu Qi, Jiangrong Shen, Yueming Wang, Huajin Tang, Hang Yu, Zhaohui Wu, Gang Pan |
| 2018 | IJCAI | CSNN: An Augmented Spiking based Framework with Perceptron-Inception. | Qi Xu, Yu Qi, Hang Yu, Jiangrong Shen, Huajin Tang, Gang Pan |