Wei Fang - RankMe

29 papers A* 11Misc 1Journal 16Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Parallel Training Time-to-First-Spike Spiking Neural Networks. AAAI Kaiwei Che, Wei Fang, Peng Xue, Yifan Huang, Zhengyu Ma, Yonghong Tian
2025	J	`jnl`	Channel-wise Parallelizable Spiking Neuron with Multiplication-free Dynamics and Large Temporal Receptive Fields. CoRR Peng Xue, Wei Fang, Zhengyu Ma, Zihan Huang, Zhaokun Zhou, Yonghong Tian, Timothée Masquelier, Huihui Zhou
2025	A*	`conf`	Differential Coding for Training-Free ANN-to-SNN Conversion. ICML Zihan Huang, Wei Fang, Tong Bu, Peng Xue, Zecheng Hao, Wenxuan Liu, Yuanhong Tang, Zhaofei Yu, Tiejun Huang
2025	J	`jnl`	Differential Coding for Training-Free ANN-to-SNN Conversion. CoRR Zihan Huang, Wei Fang, Tong Bu, Peng Xue, Zecheng Hao, Wenxuan Liu, Yuanhong Tang, Zhaofei Yu, Tiejun Huang
2025	J	`jnl`	Event2Vec: Processing neuromorphic events directly by representations in vector space. CoRR Wei Fang, Priyadarshini Panda
2024	J	`jnl`	ETTFS: An Efficient Training Framework for Time-to-First-Spike Neuron. CoRR Kaiwei Che, Wei Fang, Zhengyu Ma, Li Yuan, Timothée Masquelier, Yonghong Tian
2024	J	`jnl`	Flexible and Scalable Deep Dendritic Spiking Neural Networks with Multiple Nonlinear Branching. CoRR Yifan Huang, Wei Fang, Zhengyu Ma, Guoqi Li, Yonghong Tian
2024	Misc	`conf`	Optimal ANN-SNN Conversion with Group Neurons. ICASSP Liuzhenghao Lv, Wei Fang, Li Yuan, Yonghong Tian
2024	J	`jnl`	Optimal ANN-SNN Conversion with Group Neurons. CoRR Liuzhenghao Lv, Wei Fang, Li Yuan, Yonghong Tian
2024	J	`jnl`	Self-architectural knowledge distillation for spiking neural networks. Neural Networks Haonan Qiu, Munan Ning, Zeyin Song, Wei Fang, Yanqi Chen, Tao Sun, Zhengyu Ma, Li Yuan, Yonghong Tian
2024	J	`jnl`	Spikformer V2: Join the High Accuracy Club on ImageNet with an SNN Ticket. CoRR Zhaokun Zhou, Kaiwei Che, Wei Fang, Keyu Tian, Yuesheng Zhu, Shuicheng Yan, Yonghong Tian, Li Yuan
2024	—	`conf`	Temporal Contrastive Learning for Spiking Neural Networks. ICANN (10) Haonan Qiu, Zeyin Song, Yanqi Chen, Munan Ning, Wei Fang, Tao Sun, Zhengyu Ma, Li Yuan, Yonghong Tian
2023	A*	`conf`	A Unified Framework for Soft Threshold Pruning. ICLR Yanqi Chen, Zhengyu Ma, Wei Fang, Xiawu Zheng, Zhaofei Yu, Yonghong Tian
2023	J	`jnl`	A Unified Framework for Soft Threshold Pruning. CoRR Yanqi Chen, Zhengyu Ma, Wei Fang, Xiawu Zheng, Zhaofei Yu, Yonghong Tian
2023	J	`jnl`	Auto-Spikformer: Spikformer Architecture Search. CoRR Kaiwei Che, Zhaokun Zhou, Zhengyu Ma, Wei Fang, Yanqi Chen, Shuaijie Shen, Li Yuan, Yonghong Tian
2023	A*	`conf`	Exploring Loss Functions for Time-based Training Strategy in Spiking Neural Networks. NeurIPS Yaoyu Zhu, Wei Fang, Xiaodong Xie, Tiejun Huang, Zhaofei Yu
2023	J	`jnl`	Optimal ANN-SNN Conversion for High-accuracy and Ultra-low-latency Spiking Neural Networks. CoRR Tong Bu, Wei Fang, Jianhao Ding, Penglin Dai, Zhaofei Yu, Tiejun Huang
2023	A*	`conf`	Parallel Spiking Neurons with High Efficiency and Ability to Learn Long-term Dependencies. NeurIPS Wei Fang, Zhaofei Yu, Zhaokun Zhou, Ding Chen, Yanqi Chen, Zhengyu Ma, Timothée Masquelier, Yonghong Tian
2023	J	`jnl`	Parallel Spiking Neurons with High Efficiency and Long-term Dependencies Learning Ability. CoRR Wei Fang, Zhaofei Yu, Zhaokun Zhou, Yanqi Chen, Zhengyu Ma, Timothée Masquelier, Yonghong Tian
2023	J	`jnl`	SpikingJelly: An open-source machine learning infrastructure platform for spike-based intelligence. CoRR Wei Fang, Yanqi Chen, Jianhao Ding, Zhaofei Yu, Timothée Masquelier, Ding Chen, Liwei Huang, Huihui Zhou, Guoqi Li, Yonghong Tian
2023	J	`jnl`	Temporal Contrastive Learning for Spiking Neural Networks. CoRR Haonan Qiu, Zeyin Song, Yanqi Chen, Munan Ning, Wei Fang, Tao Sun, Zhengyu Ma, Li Yuan, Yonghong Tian
2022	A*	`conf`	Optimal ANN-SNN Conversion for High-accuracy and Ultra-low-latency Spiking Neural Networks. ICLR Tong Bu, Wei Fang, Jianhao Ding, Penglin Dai, Zhaofei Yu, Tiejun Huang
2022	A*	`conf`	State Transition of Dendritic Spines Improves Learning of Sparse Spiking Neural Networks. ICML Yanqi Chen, Zhaofei Yu, Wei Fang, Zhengyu Ma, Tiejun Huang, Yonghong Tian
2022	A*	`conf`	Training Spiking Neural Networks with Event-driven Backpropagation. NeurIPS Yaoyu Zhu, Zhaofei Yu, Wei Fang, Xiaodong Xie, Tiejun Huang, Timothée Masquelier
2021	A*	`conf`	Deep Residual Learning in Spiking Neural Networks. NeurIPS Wei Fang, Zhaofei Yu, Yanqi Chen, Tiejun Huang, Timothée Masquelier, Yonghong Tian
2021	A*	`conf`	Incorporating Learnable Membrane Time Constant to Enhance Learning of Spiking Neural Networks. ICCV Wei Fang, Zhaofei Yu, Yanqi Chen, Timothée Masquelier, Tiejun Huang, Yonghong Tian
2021	A*	`conf`	Pruning of Deep Spiking Neural Networks through Gradient Rewiring. IJCAI Yanqi Chen, Zhaofei Yu, Wei Fang, Tiejun Huang, Yonghong Tian
2021	J	`jnl`	Pruning of Deep Spiking Neural Networks through Gradient Rewiring. CoRR Yanqi Chen, Zhaofei Yu, Wei Fang, Tiejun Huang, Yonghong Tian
2021	J	`jnl`	Spike-based Residual Blocks. CoRR Wei Fang, Zhaofei Yu, Timothée Masquelier, Yanqi Chen, Tiejun Huang, Yonghong Tian