| 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 | 195 | 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 | 172 | 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 | 119* | 2024 |
| 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 | 115 | 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 International Conference on Learning Representations (ICLR2024), 2024 | 47 | 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 | 38 | 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 | 27 | 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 | 26 | 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 | 21 | 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 | 19 | 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 | 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 |
| 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 International Conference on Machine Learning (ICML2024 Spotlight), 2024 | 8* | 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 |
| 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 | 3 | 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 | 3 | 2023 |
| 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 |
| 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 | 1 | 2024 |
Guoqi LiProfessor, Institue of Automation，Chinese Academy of Sciences，Previously Tsinghua UniversityVerified email at ia.ac.cn