Incorporating Learnable Membrane Time Constant to Enhance Learning of Spiking Neural Networks. - Wei Fang 006; Zhaofei Yu; Yanqi Chen; Timothée Masquelier; Tiejun Huang 001; Yonghong Tian 001 (ICCV, 2021)

Pruning of Deep Spiking Neural Networks through Gradient Rewiring. - Yanqi Chen; Zhaofei Yu; Wei Fang 006; Tiejun Huang 001; Yonghong Tian 001 (IJCAI, 2021)

Deep Residual Learning in Spiking Neural Networks. - Wei Fang 006; Zhaofei Yu; Yanqi Chen; Tiejun Huang 001; Timothée Masquelier; Yonghong Tian 001 (NeurIPS, 2021)

Spike-based Residual Blocks. - Wei Fang 006; Zhaofei Yu; Timothée Masquelier; Yanqi Chen; Tiejun Huang 001; Yonghong Tian 001 (CoRR, 2021)

Optimal ANN-SNN Conversion for High-accuracy and Ultra-low-latency Spiking Neural Networks. - Tong Bu; Wei Fang 006; Jianhao Ding; Penglin Dai; Zhaofei Yu; Tiejun Huang 001 (ICLR, 2022)

State Transition of Dendritic Spines Improves Learning of Sparse Spiking Neural Networks. - Yanqi Chen; Zhaofei Yu; Wei Fang 006; Zhengyu Ma; Tiejun Huang 001; Yonghong Tian 001 (ICML, 2022)

Training Spiking Neural Networks with Event-driven Backpropagation. - Yaoyu Zhu; Zhaofei Yu; Wei Fang 006; Xiaodong Xie; Tiejun Huang 001; Timothée Masquelier (NeurIPS, 2022)

A Unified Framework for Soft Threshold Pruning. - Yanqi Chen; Zhengyu Ma; Wei Fang 006; Xiawu Zheng; Zhaofei Yu; Yonghong Tian 001 (ICLR, 2023)

Parallel Spiking Neurons with High Efficiency and Ability to Learn Long-term Dependencies. - Wei Fang 006; Zhaofei Yu; Zhaokun Zhou; Ding Chen; Yanqi Chen; Zhengyu Ma; Timothée Masquelier; Yonghong Tian 001 (NeurIPS, 2023)

Exploring Loss Functions for Time-based Training Strategy in Spiking Neural Networks. - Yaoyu Zhu; Wei Fang 006; Xiaodong Xie; Tiejun Huang 001; Zhaofei Yu (NeurIPS, 2023)

Parallel Spiking Neurons with High Efficiency and Long-term Dependencies Learning Ability. - Wei Fang 006; Zhaofei Yu; Zhaokun Zhou; Yanqi Chen; Zhengyu Ma; Timothée Masquelier; Yonghong Tian 001 (CoRR, 2023)

Auto-Spikformer: Spikformer Architecture Search. - Kaiwei Che; Zhaokun Zhou; Zhengyu Ma; Wei Fang 006; Yanqi Chen; Shuaijie Shen; Li Yuan 007; Yonghong Tian 001 (CoRR, 2023)

SpikingJelly: An open-source machine learning infrastructure platform for spike-based intelligence. - Wei Fang 006; Yanqi Chen; Jianhao Ding; Zhaofei Yu; Timothée Masquelier; Ding Chen; Liwei Huang; Huihui Zhou; Guoqi Li; Yonghong Tian 001 (CoRR, 2023)

Temporal Contrastive Learning for Spiking Neural Networks. - Haonan Qiu; Zeyin Song; Yanqi Chen; Munan Ning; Wei Fang 006; Tao Sun; Zhengyu Ma; Li Yuan 007; Yonghong Tian 001 (ICANN (10), 2024)

Optimal ANN-SNN Conversion with Group Neurons. - Liuzhenghao Lv; Wei Fang 006; Li Yuan 007; Yonghong Tian 001 (ICASSP, 2024)

Spikformer V2: Join the High Accuracy Club on ImageNet with an SNN Ticket. - Zhaokun Zhou; Kaiwei Che; Wei Fang 006; Keyu Tian; Yuesheng Zhu; Shuicheng Yan; Yonghong Tian 001; Li Yuan 007 (CoRR, 2024)

ETTFS: An Efficient Training Framework for Time-to-First-Spike Neuron. - Kaiwei Che; Wei Fang 006; Zhengyu Ma; Li Yuan 007; Timothée Masquelier; Yonghong Tian 001 (CoRR, 2024)

Flexible and Scalable Deep Dendritic Spiking Neural Networks with Multiple Nonlinear Branching. - Yifan Huang 002; Wei Fang 006; Zhengyu Ma; Guoqi Li; Yonghong Tian 001 (CoRR, 2024)

Self-architectural knowledge distillation for spiking neural networks. - Haonan Qiu; Munan Ning; Zeyin Song; Wei Fang 006; Yanqi Chen; Tao Sun; Zhengyu Ma; Li Yuan 007; Yonghong Tian 001 (Neural Networks, 2024)

Channel-wise Parallelizable Spiking Neuron with Multiplication-free Dynamics and Large Temporal Receptive Fields. - Peng Xue; Wei Fang 006; Zhengyu Ma; Zihan Huang; Zhaokun Zhou; Yonghong Tian 001; Timothée Masquelier; Huihui Zhou (CoRR, 2025)

Differential Coding for Training-Free ANN-to-SNN Conversion. - Zihan Huang; Wei Fang 006; Tong Bu; Peng Xue; Zecheng Hao; Wenxuan Liu; Yuanhong Tang; Zhaofei Yu; Tiejun Huang 001 (CoRR, 2025)

Event2Vec: Processing neuromorphic events directly by representations in vector space. - Wei Fang 006; Priyadarshini Panda (CoRR, 2025)