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ORCIDWei Fang 0006
Person information
- affiliation: Yale University, Department of Electrical & Computer Engineering, New Haven, CT, USA
- affiliation (PhD 2024): Peking University, Shenzhen Graduate School, School of Electronic and Computer Engineering, Shenzhen, China
- affiliation: Peng Cheng Laboratory, Shenzhen, China
Other persons with the same name
- Wei Fang — disambiguation page
- Wei Fang 0001
![[0000-0003-0750-4749]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0003-0750-4749")
— Jiangnan University, Jiangsu Provincial Engineering Laboratory of Pattern Recognition and Computational Intelligence, Wuxi, China (and 1 more) - Wei Fang 0002 — Zhejiang University, College of Optical Science and Engineering, Hangzhou, China (and 2 more)
- Wei Fang 0003 — Northwestern Polytechnical University, School of Management, Xi'an, China
- Wei Fang 0004 — University of Southampton, UK
- Wei Fang 0005 — Alibaba Group, DAMO Academy, Medical AI, Beijing, China (and 1 more)
- Wei Fang 0007 — Nanjing University of Information Science and Technology, School of Computer Science, Nanjing, China (and 2 more)
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2020 – today
- 2025
[c12]Zihan Huang, Wei Fang, Tong Bu, Peng Xue, Zecheng Hao, Wenxuan Liu, Yuanhong Tang, Zhaofei Yu, Tiejun Huang:
Differential Coding for Training-Free ANN-to-SNN Conversion. ICML 2025- [i15]Peng Xue, Wei Fang, Zhengyu Ma, Zihan Huang, Zhaokun Zhou, Yonghong Tian, Timothée Masquelier, Huihui Zhou:
Channel-wise Parallelizable Spiking Neuron with Multiplication-free Dynamics and Large Temporal Receptive Fields. CoRR abs/2501.14490 (2025) - [i14]Zihan Huang, Wei Fang, Tong Bu, Peng Xue, Zecheng Hao, Wenxuan Liu, Yuanhong Tang, Zhaofei Yu, Tiejun Huang:
Differential Coding for Training-Free ANN-to-SNN Conversion. CoRR abs/2503.00301 (2025) - [i13]Wei Fang, Priyadarshini Panda:
Event2Vec: Processing neuromorphic events directly by representations in vector space. CoRR abs/2504.15371 (2025) - 2024
- [j1]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 178: 106475 (2024) - [c11]Haonan Qiu, Zeyin Song, Yanqi Chen, Munan Ning, Wei Fang, Tao Sun, Zhengyu Ma, Li Yuan, Yonghong Tian:
Temporal Contrastive Learning for Spiking Neural Networks. ICANN (10) 2024: 422-436 - [c10]Liuzhenghao Lv, Wei Fang, Li Yuan, Yonghong Tian:
Optimal ANN-SNN Conversion with Group Neurons. ICASSP 2024: 6475-6479 - [i12]Zhaokun Zhou, Kaiwei Che, Wei Fang, Keyu Tian, Yuesheng Zhu, Shuicheng Yan, Yonghong Tian, Li Yuan:
Spikformer V2: Join the High Accuracy Club on ImageNet with an SNN Ticket. CoRR abs/2401.02020 (2024) - [i11]Liuzhenghao Lv, Wei Fang, Li Yuan, Yonghong Tian:
Optimal ANN-SNN Conversion with Group Neurons. CoRR abs/2402.19061 (2024) - [i10]Kaiwei Che, Wei Fang, Zhengyu Ma, Li Yuan, Timothée Masquelier, Yonghong Tian:
ETTFS: An Efficient Training Framework for Time-to-First-Spike Neuron. CoRR abs/2410.23619 (2024) - [i9]Yifan Huang, Wei Fang, Zhengyu Ma, Guoqi Li, Yonghong Tian:
Flexible and Scalable Deep Dendritic Spiking Neural Networks with Multiple Nonlinear Branching. CoRR abs/2412.06355 (2024) - 2023
- [c9]Yanqi Chen, Zhengyu Ma, Wei Fang, Xiawu Zheng, Zhaofei Yu, Yonghong Tian:
A Unified Framework for Soft Threshold Pruning. ICLR 2023 - [c8]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 - [c7]Yaoyu Zhu, Wei Fang, Xiaodong Xie, Tiejun Huang, Zhaofei Yu:
Exploring Loss Functions for Time-based Training Strategy in Spiking Neural Networks. NeurIPS 2023 - [i8]Yanqi Chen, Zhengyu Ma, Wei Fang, Xiawu Zheng, Zhaofei Yu, Yonghong Tian:
A Unified Framework for Soft Threshold Pruning. CoRR abs/2302.13019 (2023) - [i7]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. CoRR abs/2303.04347 (2023) - [i6]Wei Fang, Zhaofei Yu, Zhaokun Zhou, Yanqi Chen, Zhengyu Ma, Timothée Masquelier, Yonghong Tian:
Parallel Spiking Neurons with High Efficiency and Long-term Dependencies Learning Ability. CoRR abs/2304.12760 (2023) - [i5]Haonan Qiu, Zeyin Song, Yanqi Chen, Munan Ning, Wei Fang, Tao Sun, Zhengyu Ma, Li Yuan, Yonghong Tian:
Temporal Contrastive Learning for Spiking Neural Networks. CoRR abs/2305.13909 (2023) - [i4]Kaiwei Che, Zhaokun Zhou, Zhengyu Ma, Wei Fang, Yanqi Chen, Shuaijie Shen, Li Yuan, Yonghong Tian:
Auto-Spikformer: Spikformer Architecture Search. CoRR abs/2306.00807 (2023) - [i3]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. CoRR abs/2310.16620 (2023) - 2022
- [c6]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 - [c5]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: 3701-3715 - [c4]Yaoyu Zhu, Zhaofei Yu, Wei Fang, Xiaodong Xie, Tiejun Huang, Timothée Masquelier:
Training Spiking Neural Networks with Event-driven Backpropagation. NeurIPS 2022 - 2021
- [c3]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: 2641-2651 - [c2]Yanqi Chen, Zhaofei Yu, Wei Fang, Tiejun Huang, Yonghong Tian:
Pruning of Deep Spiking Neural Networks through Gradient Rewiring. IJCAI 2021: 1713-1721 - [c1]Wei Fang, Zhaofei Yu, Yanqi Chen, Tiejun Huang, Timothée Masquelier, Yonghong Tian:
Deep Residual Learning in Spiking Neural Networks. NeurIPS 2021: 21056-21069 - [i2]Wei Fang, Zhaofei Yu, Timothée Masquelier, Yanqi Chen, Tiejun Huang, Yonghong Tian:
Spike-based Residual Blocks. CoRR abs/2102.04159 (2021) - [i1]Yanqi Chen, Zhaofei Yu, Wei Fang, Tiejun Huang, Yonghong Tian:
Pruning of Deep Spiking Neural Networks through Gradient Rewiring. CoRR abs/2105.04916 (2021)
Coauthor Index
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