| 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 | 84 | 2023 |
| Gated attention coding for training high-performance and efficient spiking neural networks X Qiu, RJ Zhu, Y Chou, Z Wang, L Deng, G Li Proceedings of the AAAI Conference on Artificial Intelligence 38 (1), 601-610, 2024 | 34 | 2024 |
| 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, 253-272, 2024 | 11 | 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 arXiv preprint arXiv:2405.16466, 2024 | 10 | 2024 |
| Scalable autoregressive image generation with mamba H Li, J Yang, K Wang, X Qiu, Y Chou, X Li, G Li arXiv preprint arXiv:2408.12245, 2024 | 8 | 2024 |
| Deep directly-trained spiking neural networks for object detection. 2023 IEEE Q Su, Y Chou, Y Hu, J Li, S Mei, Z Zhang, G Li CVF International Conference on Computer Vision (ICCV), 6532-6542, 2023 | 6 | 2023 |
| 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 |
| 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, 2025 | 4 | 2025 |
| MetaLA: Unified Optimal Linear Approximation to Softmax Attention Map Y Chou, M Yao, K Wang, Y Pan, R Zhu, Y Zhong, Y Qiao, J Wu, B Xu, G Li arXiv preprint arXiv:2411.10741, 2024 | 4 | 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 arXiv preprint arXiv:2412.07360, 2024 | 2 | 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, B Xu, G Li Proceedings of the 32nd ACM International Conference on Multimedia, 2748-2756, 2024 | 2 | 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, XU Bo, G Li Forty-first International Conference on Machine Learning, 2024 | 2 | 2024 |
| 1. 3.1 Spiking Neuron M Yao, X Qiu, T Hu, J Hu, Y Chou, K Tian | | |
| Deep Directly-Trained Spiking Neural Networks for Object Detection (Supplementary Materials) Q Su, Y Chou, Y Hu, J Li, S Mei, Z Zhang, G Li | | |
Guoqi LiProfessor, Institue of Automation，Chinese Academy of Sciences，Previously Tsinghua UniversityPatvirtintas el. paštas ia.ac.cn