Tong Bu
Tong Bu
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Optimal ANN-SNN conversion for high-accuracy and ultra-low-latency spiking neural networks
T Bu, W Fang, J Ding, PL Dai, Z Yu, T Huang
arXiv preprint arXiv:2303.04347, 2023
Optimized potential initialization for low-latency spiking neural networks
T Bu, J Ding, Z Yu, T Huang
Proceedings of the AAAI Conference on Artificial Intelligence 36 (1), 11-20, 2022
Snn-rat: Robustness-enhanced spiking neural network through regularized adversarial training
J Ding, T Bu, Z Yu, T Huang, J Liu
Advances in Neural Information Processing Systems 35, 24780-24793, 2022
Reducing ANN-SNN Conversion Error through Residual Membrane Potential
Z Hao, T Bu, J Ding, T Huang, Z Yu
arXiv preprint arXiv:2302.02091, 2023
Bridging the Gap between ANNs and SNNs by Calibrating Offset Spikes
Z Hao, J Ding, T Bu, T Huang, Z Yu
arXiv preprint arXiv:2302.10685, 2023
Decoding pixel-level image features from two-photon calcium signals of macaque visual cortex
Y Zhang, T Bu, J Zhang, S Tang, Z Yu, JK Liu, T Huang
Neural Computation 34 (6), 1369-1397, 2022
Rate Gradient Approximation Attack Threats Deep Spiking Neural Networks
T Bu, J Ding, Z Hao, Z Yu
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
Robust Decoding of Rich Dynamical Visual Scenes With Retinal Spikes
Z Yu, T Bu, Y Zhang, S Jia, T Huang, JK Liu
IEEE Transactions on Neural Networks and Learning Systems, 2024
A Progressive Training Framework for Spiking Neural Networks with Learnable Multi-hierarchical Model
Z Hao, X Shi, Z Huang, T Bu, Z Yu, T Huang
The Twelfth International Conference on Learning Representations, 2023
Training Adversarially Robust SNNs with Gradient Sparsity Regularization
Y Liu, T Bu, Z Yu, T Huang
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