Temporal-wise attention spiking neural networks for event streams classification M Yao, H Gao, G Zhao, D Wang, Y Lin, Z Yang, G Li
International Conference on Computer Vision (ICCV2021), 2021
205 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 (IEEE TPAMI), 2023
182 2023 Spike-driven Transformer M Yao, J Hu, Z Zhou, L Yuan, Y Tian, B Xu, G Li
Conference on Neural Information Processing Systems (NeurIPS2023), 2023
123 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
120 * 2024 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
International Conference on Learning Representations (ICLR2024), 2024
54 2024 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
44 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
29 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
27 2023 Inherent Redundancy in Spiking Neural Networks M Yao, J Hu, G Zhao, Y Wang, Z Zhang, B Xu, G Li
International Conference on Computer Vision (ICCV2023), 2023
24 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
20 2022 Integer-Valued Training and Spike-Driven Inference Spiking Neural Network for High-performance and Energy-efficient Object Detection X Luo*, M Yao*, Y Chou, B Xu, G Li
European Conference on Computer Vision (ECCV2024 Best Paper Candidate), 2024
10 2024 High-Performance Temporal Reversible Spiking Neural Networks with JK Hu*, M Yao*, X Qiu, Y Chou, Y Cai, N Qiao, Y Tian, B Xu, G Li
International Conference on Machine Learning (ICML2024 Spotlight), 2024
9 * 2024 Event-based Depth Prediction with Deep Spiking Neural Network X Wu, W He, M Yao, Z Zhang, Y Wang, B Xu, G Li
IEEE Transactions on Cognitive and Developmental Systems, 2024
8 * 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
5 2023 MetaLA: Unified Optimal Linear Approximation to Softmax Attention Map Y Chou*, M Yao*, K Wang, Y Pan, RJ Zhu, J Wu, Y Zhong, Y Qiao, XU Bo, ...
Conference on Neural Information Processing Systems (NeurIPS2024 Oral), 2024
4 2024 Scaling Spike-driven Transformer with Efficient Spike Firing Approximation Training M Yao, X Qiu, T Hu, J Hu, Y Chou, K Tian, J Liao, L Leng, B Xu, G Li
IEEE Transactions on Pattern Analysis and Machine Intelligence (IEEE TPAMI), 2025
3 2025 RSC-SNN: Exploring the Trade-off Between Adversarial Robustness and Accuracy in Spiking Neural Networks via Randomized Smoothing Coding K Wu*, M Yao*, Y Chou, X Qiu, R Yang, XU Bo, G Li
ACM Multimedia (ACM MM2024), 2024
2 2024 Efficient 3D Recognition with Event-driven Spike Sparse Convolution X Qiu, M Yao, J Zhang, Y Chou, N Qiao, S Zhou, B Xu, G Li
The 39th Annual AAAI Conference on Artificial Intelligence (AAAI2025), 2024
1 2024 SNN-BERT: Training-efficient Spiking Neural Networks for energy-efficient BERT Q Su, S Mei, X Xing, M Yao, J Zhang, B Xu, G Li
Neural Networks 180, 106630, 2024
1 2024 SpikeVoice: High-Quality Text-to-Speech Via Efficient Spiking Neural Network K Wang, J Zhang, Y Ren, M Yao, D Shang, B Xu, G Li
Association for Computational Linguistics (ACL2024), 2024
1 2024 
Guoqi LiProfessor, Institue of Automation，Chinese Academy of Sciences，Previously Tsinghua UniversityCorreu electrònic verificat a ia.ac.cn