15 citations · 18 across the 3 of their papers we have counts for
3 papers
cs.CV2024★ 1 cited
RSC-SNN: Exploring the Trade-off Between Adversarial Robustness and Accuracy in Spiking Neural Networks via Randomized Smoothing Coding
Keming Wu, Man Yao, Yuhong Chou +4
Spiking Neural Networks (SNNs) have received widespread attention due to their unique neuronal dynamics and low-power nature. Previous research empirically shows that SNNs with Poi…
cs.CV2023★ 15 cited
Deep Directly-Trained Spiking Neural Networks for Object Detection
Qiaoyi Su, Yuhong Chou, Yifan Hu +4
Spiking neural networks (SNNs) are brain-inspired energy-efficient models that encode information in spatiotemporal dynamics. Recently, deep SNNs trained directly have shown great…
cs.LG2023★ 2 cited
Probabilistic Modeling: Proving the Lottery Ticket Hypothesis in Spiking Neural Network
Man Yao, Yuhong Chou, Guangshe Zhao +4
The Lottery Ticket Hypothesis (LTH) states that a randomly-initialized large neural network contains a small sub-network (i.e., winning tickets) which, when trained in isolation, c…