| 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 | 120 | 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 | 79 | 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 | 25 | 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 | 20 | 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 | 16 | 2021 |
| 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 | 12 | 2022 |
| 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 | 7 | 2023 |
| 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 | 5 | 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 | 3 | 2022 |
| 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 | 2 | 2023 |
| 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 | | 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 | | 2017 |
Guoqi LiProfessor, Institue of Automation，Chinese Academy of Sciences，Previously Tsinghua UniversityVerified email at ia.ac.cn
