方维 个人主页

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我是北京大学计算机学院的在读博士研究生，指导老师为田永鸿教授。此外，我也与北京大学的余肇飞教授、法国国家科学研究中心的Timothée Masquelier研究员、中国科学院自动化研究所的李国齐教授长期合作。

我的主要研究方向包括脉冲神经网络的学习、网络结构设计。

我目前正在寻找学术界的工作机会。欢迎对我感兴趣的学术团队联系(fwei at pku.edu.cn)。

教育经历

• 2015.9 - 2019.6, 学士, 清华大学自动化系
• 2019.9 - 2024.6, 博士研究生在读, 北京大学计算机学院

出版物

• Yanqi Chen, Zhaofei Yu, Wei Fang, Tiejun Huang, Yonghong Tian, Pruning of Deep Spiking Neural Networks through Gradient Rewiring, IJCAI 2021
• Wei Fang, Zhaofei Yu, Yanqi Chen, Timothée Masquelier, Tiejun Huang, Yonghong Tian, Incorporating Learnable Membrane Time Constant to Enhance Learning of Spiking Neural Networks, ICCV 2021
• Wei Fang, Zhaofei Yu, Yanqi Chen, Tiejun Huang, Timothée Masquelier, Yonghong Tian, Deep Residual Learning in Spiking Neural Networks, NeurIPS 2021
• Tong Bu, Wei Fang, Jianhao Ding, PengLin Dai, Zhaofei Yu, Tiejun Huang, Optimal ANN-SNN Conversion for High-accuracy and Ultra-low-latency Spiking Neural Networks, ICLR 2022
• Yanqi Chen, Zhaofei Yu, Wei Fang, Zhengyu Ma, Tiejun Huang, Yonghong Tian, State Transition of Dendritic Spines Improves Learning of Sparse Spiking Neural Networks, ICML 2022
• Yaoyu Zhu, Zhaofei Yu, Wei Fang, Xiaodong Xie, Tiejun Huang, Timothée Masquelier, Training Spiking Neural Networks with Event-driven Backpropagation, NeurIPS 2022
• Yanqi Chen, Zhengyu Ma, Wei Fang, Xiawu Zheng, Zhaofei Yu, Yonghong Tian, A Unified Framework for Soft Threshold Pruning, ICLR 2023
• Wei Fang, Yanqi Chen, Jianhao Ding, Zhaofei Yu, Timothée Masquelier, Ding Chen, Liwei Huang, Huihui Zhou, Guoqi Li, Yonghong Tian, SpikingJelly: An Open-source Machine Learning Infrastructure Platform for Spike-based Intelligence, Science Advances
  • 该论文被Nature Computational Science以Research Highlight进行报道: A Full-stack Platform for Spiking Deep Learning
• Wei Fang, Zhaofei Yu, Zhaokun Zhou, Ding Chen, Yanqi Chen, Zhengyu Ma, Timothée Masquelier, Yonghong Tian, Parallel Spiking Neurons with High Efficiency and Ability to Learn Long-term Dependencies, NeurIPS 2023
• Yaoyu Zhu, Wei Fang, Xiaodong Xie, Tiejun Huang, Zhaofei Yu, Exploring Loss Functions for Time-based Training Strategy in Spiking Neural Networks, NeurIPS 2023
• Liuzhenghao Lv, Wei Fang, Li Yuan, Yonghong Tian, Optimal ANN-SNN Conversion with Group Neurons, ICASSP 2024

开源项目

• SpikingJelly 是目前最为流行的开源脉冲神经网络深度学习框架，我是主要作者。
• Python JPEG Encoder, 从零开始构建的JPEG编码器。
• Tello GUI Controller, 基于Qt5的Tello无人机控制程序。

联系方式

• fwei at pku.edu.cn