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Research Assistant Professor, School of Electronic and Computer Engineering, Peking University

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我是北京大学信息工程学院的助理研究员。在此之前，我从北京大学计算机学院获得了博士学位，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。

欢迎对我感兴趣的学术团队联系(fwei at pku.edu.cn)。

教育和工作经历

出版物

第一/通讯作者论文

  1. 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
  2. Wei Fang, Zhaofei Yu, Yanqi Chen, Tiejun Huang, Timothée Masquelier, Yonghong Tian, Deep Residual Learning in Spiking Neural Networks, NeurIPS 2021
  3. 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
  4. 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

其他论文

  1. Yanqi Chen, Zhaofei Yu, Wei Fang, Tiejun Huang, Yonghong Tian, Pruning of Deep Spiking Neural Networks through Gradient Rewiring, IJCAI 2021
  2. 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
  3. 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
  4. Yaoyu Zhu, Zhaofei Yu, Wei Fang, Xiaodong Xie, Tiejun Huang, Timothée Masquelier, Training Spiking Neural Networks with Event-driven Backpropagation, NeurIPS 2022
  5. Yanqi Chen, Zhengyu Ma, Wei Fang, Xiawu Zheng, Zhaofei Yu, Yonghong Tian, A Unified Framework for Soft Threshold Pruning, ICLR 2023
  6. Yaoyu Zhu, Wei Fang, Xiaodong Xie, Tiejun Huang, Zhaofei Yu, Exploring Loss Functions for Time-based Training Strategy in Spiking Neural Networks, NeurIPS 2023
  7. Liuzhenghao Lv, Wei Fang, Li Yuan, Yonghong Tian, Optimal ANN-SNN Conversion with Group Neurons, ICASSP 2024
  8. Man Yao, Ole Richter, Guangshe Zhao, Ning Qiao, Yannan Xing, Dingheng Wang, Tianxiang Hu, Wei Fang, Tugba Demirci, Michele De Marchi, Lei Deng, Tianyi Yan, Carsten Nielsen, Sadique Sheik, Chenxi Wu, Yonghong Tian, Bo Xu, Guoqi Li, Spike-based Dynamic Computing with Asynchronous Sensing-Computing Neuromorphic Chip, Nature Communications
  9. Haonan Qiu, Munan Ning, Zeyin Song, Wei Fang, Yanqi Chen, Tao Sun, Zhengyu Ma, Li Yuan, Yonghong Tian, Self-architectural Knowledge Distillation for Spiking Neural Networks, Neural Networks

开源项目

联系方式