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Jianhao Ding
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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
1192023
Optimal ANN-SNN Conversion for Fast and Accurate Inference in Deep Spiking Neural Networks
J Ding, Z Yu, Y Tian, T Huang
Proceedings of the Thirtieth International Joint Conference on Artificial …, 2021
1042021
SpikingJelly
W Fang, Y Chen, J Ding, D Chen, Z Yu, H Zhou, Y Tian, ...
Multimedia Learn. Group, Inst. Digit. Media (NELVT), 2020
622020
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
542022
Temporal effective batch normalization in spiking neural networks
C Duan, J Ding, S Chen, Z Yu, T Huang
Advances in Neural Information Processing Systems 35, 34377-34390, 2022
372022
SpikingJelly: An open-source machine learning infrastructure platform for spike-based intelligence
W Fang, Y Chen, J Ding, Z Yu, T Masquelier, D Chen, L Huang, H Zhou, ...
Science Advances 9 (40), eadi1480, 2023
242023
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
142022
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
112023
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
102023
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
62023
An adaptive control momentum method as an optimizer in the cloud
J Ding, L Han, D Li
Future Generation Computer Systems 89, 192-200, 2018
32018
Accelerating training of deep spiking neural networks with parameter initialization
J Ding, J Zhang, Z Yu, T Huang
22021
SpikeCV: Open a Continuous Computer Vision Era
Y Zheng, J Zhang, R Zhao, J Ding, S Chen, R Xiong, Z Yu, T Huang
arXiv preprint arXiv:2303.11684, 2023
12023
Towards Energy Efficient Spiking Neural Networks: An Unstructured Pruning Framework
X Shi, J Ding, Z Hao, Z Yu
The Twelfth International Conference on Learning Representations, 2023
2023
Spike timing reshapes robustness against attacks in spiking neural networks
J Ding, Z Yu, T Huang, JK Liu
arXiv preprint arXiv:2306.05654, 2023
2023
A Fixed point view: A Model-Based Clustering Framework
J Ding, L Han
arXiv preprint arXiv:2002.08032, 2020
2020
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Articles 1–16