方伟｜上海师范大学｜学者主页

2026

Parallel Time-Aligned Spiking Self-Attention for Consistent Integer-Valued Training and Spike-Driven Inference

Peng Xue, Wei Fang, Kaiwei Che, Qingyan Meng, Zhengyu Ma, Yonghong Tian, Huihui Zhou

arXiv preprint

2025

Multiplication-Free Parallelizable Spiking Neurons with Efficient Spatio-Temporal Dynamics

Peng Xue, Wei Fang, Zhengyu Ma, Zihan Huang, Zhaokun Zhou, Yonghong Tian, Timothée Masquelier, Huihui Zhou

arXiv preprint

2025

Differential Coding for Training-Free ANN-to-SNN Conversion

Zihan Huang, Wei Fang, Tong Bu, Peng Xue, Zecheng Hao, Wenxuan Liu, Yuanhong Tang, Zhaofei Yu, Tiejun Huang

arXiv preprint

2024

Scalable Dendritic Modeling Advances Expressive and Robust Deep Spiking Neural Networks

Yifan Huang, Wei Fang, Zhengyu Ma, Guoqi Li, Yonghong Tian

arXiv preprint

2024

Spikformer V2: Join the High Accuracy Club on ImageNet with an SNN Ticket

Zhaokun Zhou, Yijie Lu, Kaiwei Che, Wei Fang, Keyu Tian, Qihao Peng, Yuesheng Zhu, Shuicheng Yan, Yonghong Tian, Li Yuan

arXiv preprint

2024

Optimal ANN-SNN Conversion with Group Neurons

Liuzhenghao Lv, Wei Fang, Li Yuan, Yonghong Tian

arXiv preprint

2024

Efficiently Training Time-to-First-Spike Spiking Neural Networks from Scratch

Kaiwei Che, Zhengyu Ma, Yifan Huang, Peng Xue, Li Yuan, Timothée Masquelier, Wei Fang, Yonghong Tian

arXiv preprint

2023

Parallel Spiking Neurons with High Efficiency and Ability to Learn Long-term Dependencies

Wei Fang, Zhaofei Yu, Zhaokun Zhou, Ding Chen, Yanqi Chen, Zhengyu Ma, Timothée Masquelier, Yonghong Tian

arXiv preprint

2023

SpikingJelly: An open-source machine learning infrastructure platform for spike-based intelligence

Wei Fang, Yanqi Chen, Jianhao Ding, Zhaofei Yu, Timothée Masquelier, Ding Chen, Liwei Huang, Huihui Zhou, Guoqi Li, Yonghong Tian

arXiv preprint

2023

Temporal Contrastive Learning for Spiking Neural Networks

Haonan Qiu, Zeyin Song, Yanqi Chen, Munan Ning, Wei Fang, Tao Sun, Zhengyu Ma, Li Yuan, Yonghong Tian

arXiv preprint

2023

Auto-Spikformer: Spikformer Architecture Search

Kaiwei Che, Zhaokun Zhou, Zhengyu Ma, Wei Fang, Yanqi Chen, Shuaijie Shen, Li Yuan, Yonghong Tian

arXiv preprint

2023

A Unified Framework for Soft Threshold Pruning

Yanqi Chen, Zhengyu Ma, Wei Fang, Xiawu Zheng, Zhaofei Yu, Yonghong Tian

arXiv preprint

2023

Optimal ANN-SNN Conversion for High-accuracy and Ultra-low-latency Spiking Neural Networks

Tong Bu, Wei Fang, Jianhao Ding, PengLin Dai, Zhaofei Yu, Tiejun Huang

arXiv preprint

2021

Deep Residual Learning in Spiking Neural Networks

Wei Fang, Zhaofei Yu, Yanqi Chen, Tiejun Huang, Timothée Masquelier, Yonghong Tian

arXiv preprint

2021

Pruning of Deep Spiking Neural Networks through Gradient Rewiring

Yanqi Chen, Zhaofei Yu, Wei Fang, Tiejun Huang, Yonghong Tian

arXiv preprint

DOI

2020

Incorporating Learnable Membrane Time Constant to Enhance Learning of Spiking Neural Networks

Wei Fang, Zhaofei Yu, Yanqi Chen, Timothee Masquelier, Tiejun Huang, Yonghong Tian

arXiv preprint

方伟

精选作品

预印本

Parallel Time-Aligned Spiking Self-Attention for Consistent Integer-Valued Training and Spike-Driven Inference

Multiplication-Free Parallelizable Spiking Neurons with Efficient Spatio-Temporal Dynamics

Differential Coding for Training-Free ANN-to-SNN Conversion

Scalable Dendritic Modeling Advances Expressive and Robust Deep Spiking Neural Networks

Spikformer V2: Join the High Accuracy Club on ImageNet with an SNN Ticket

Optimal ANN-SNN Conversion with Group Neurons

Efficiently Training Time-to-First-Spike Spiking Neural Networks from Scratch

Parallel Spiking Neurons with High Efficiency and Ability to Learn Long-term Dependencies

SpikingJelly: An open-source machine learning infrastructure platform for spike-based intelligence

Temporal Contrastive Learning for Spiking Neural Networks

Auto-Spikformer: Spikformer Architecture Search

A Unified Framework for Soft Threshold Pruning

Optimal ANN-SNN Conversion for High-accuracy and Ultra-low-latency Spiking Neural Networks

Deep Residual Learning in Spiking Neural Networks

Pruning of Deep Spiking Neural Networks through Gradient Rewiring

Incorporating Learnable Membrane Time Constant to Enhance Learning of Spiking Neural Networks