Man Yao(姚满)
Man Yao(姚满)
Institue of Automation, Chinese Academy of Sciences
Verified email at - Homepage
Cited by
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Temporal-wise attention spiking neural networks for event streams classification
M Yao, H Gao, G Zhao, D Wang, Y Lin, Z Yang, G Li
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
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, 2023
Spike-driven Transformer
M Yao, J Hu, Z Zhou, L Yuan, Y Tian, B Xu, G Li
Thirty-seventh Conference on Neural Information Processing Systems, 2023
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
Kronecker CP decomposition with fast multiplication for compressing RNNs
D Wang, B Wu, G Zhao, M Yao, H Chen, L Deng, T Yan, G Li
IEEE Transactions on Neural Networks and Learning Systems 34 (5), 2205-2219, 2021
Sparser spiking activity can be better: Feature refine-and-mask spiking neural network for event-based visual recognition
M Yao, H Zhang, G Zhao, X Zhang, D Wang, G Cao, G Li
Neural Networks 166, 410-423, 2023
Efficient visual recognition: A survey on recent advances and brain-inspired methodologies
Y Wu, DH Wang, XT Lu, F Yang, M Yao, WS Dong, JB Shi, GQ Li
Machine Intelligence Research 19 (5), 366-411, 2022
Spike-driven Transformer V2: Meta Spiking Neural Network Architecture Inspiring the Design of Next-generation Neuromorphic Chips
M Yao, J Hu, T Hu, Y Xu, Z Zhou, Y Tian, B Xu, G Li
The Twelfth International Conference on Learning Representations, 2024
Inherent Redundancy in Spiking Neural Networks
M Yao, J Hu, G Zhao, Y Wang, Z Zhang, B Xu, G Li
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
Mss-depthnet: Depth prediction with multi-step spiking neural network
X Wu, W He, M Yao, Z Zhang, Y Wang, G Li
arXiv preprint arXiv:2211.12156, 2022
Spike-based dynamic computing with asynchronous sensing-computing neuromorphic chip
M Yao, O Richter, G Zhao, N Qiao, Y Xing, D Wang, T Hu, W Fang, ...
Nature Communications 15 (1), 4464, 2024
Probabilistic modeling: Proving the lottery ticket hypothesis in spiking neural network
M Yao, Y Chou, G Zhao, X Zheng, Y Tian, B Xu, G Li
arXiv preprint arXiv:2305.12148, 2023
High-Performance Temporal Reversible Spiking Neural Networks with Training Memory and Inference Cost
JK Hu*, M Yao*, X Qiu, Y Chou, Y Cai, N Qiao, Y Tian, B Xu, G Li
Forty-first International Conference on Machine Learning (ICML2024 Spotlight), 2024
Characteristics analysis of DOPs for Dual-GNSS constellations with uncertain clock offset
M Yao, G Lv, Q Dong, T Zhao
2017 9th International Conference on Wireless Communications and Signal …, 2017
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