Articles with public access mandates - Yifan HuLearn more
Not available anywhere: 1
Spike attention coding for spiking neural networks
J Liu, Y Hu, G Li, J Pei, L Deng
IEEE Transactions on Neural Networks and Learning Systems, 2023
Mandates: National Natural Science Foundation of China
Available somewhere: 7
Going deeper with directly-trained larger spiking neural networks
H Zheng, Y Wu, L Deng, Y Hu, G Li
Proceedings of the AAAI conference on artificial intelligence 35 (12), 11062 …, 2021
Mandates: National Natural Science Foundation of China
Attention spiking neural networks
M Yao, G Zhao, H Zhang, Y Hu, L Deng, Y Tian, B Xu, G Li
IEEE transactions on pattern analysis and machine intelligence 45 (8), 9393-9410, 2023
Mandates: National Natural Science Foundation of China
Advancing spiking neural networks toward deep residual learning
Y Hu, L Deng, Y Wu, M Yao, G Li
IEEE Transactions on Neural Networks and Learning Systems, 2024
Mandates: National Natural Science Foundation of China
Comprehensive snn compression using admm optimization and activity regularization
L Deng, Y Wu, Y Hu, L Liang, G Li, X Hu, Y Ding, P Li, Y Xie
IEEE transactions on neural networks and learning systems 34 (6), 2791-2805, 2021
Mandates: National Natural Science Foundation of China
Deep directly-trained spiking neural networks for object detection
Q Su, Y Chou, Y Hu, J Li, S Mei, Z Zhang, G Li
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023
Mandates: National Natural Science Foundation of China
Rethinking pretraining as a bridge from anns to snns
Y Lin, Y Hu, S Ma, D Yu, G Li
IEEE Transactions on Neural Networks and Learning Systems, 2022
Mandates: National Natural Science Foundation of China
A Marr's Three‐Level Analytical Framework for Neuromorphic Electronic Systems
Y Guo, X Zou, Y Hu, Y Yang, X Wang, Y He, R Kong, Y Guo, G Li, ...
Advanced Intelligent Systems 3 (11), 2100054, 2021
Mandates: National Natural Science Foundation of China
Publication and funding information is determined automatically by a computer program