| Spike-driven transformer M Yao*, J Hu*, Z Zhou, L Yuan, Y Tian, B Xu, G Li Advances in neural information processing systems 36, 2024 | 129 | 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 ICLR 2024, 2024 | 58 | 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 | 24 | 2023 |
| NTIRE 2024 challenge on light field image super-resolution: Methods and results Y Wang, Z Liang, Q Chen, L Wang, J Yang, R Timofte, Y Guo, W Chao, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 22 | 2024 |
| Thermal Image Super-Resolution Challenge Results-PBVS 2022 RE Rivadeneira, AD Sappa, BX Vintimilla, J Kim, D Kim, Z Li, Y Jian, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 21 | 2022 |
| 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 ICML 2024 spotlight, 2024 | 10 | 2024 |
| RL Algorithm: An approximation algorithm for fractal signals based on fractional calculus C Wang, H Tan, J Hu, D Zhou Fractals 29 (08), 2150243, 2021 | 5 | 2021 |
| 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 |
| PSCAT: a lightweight transformer for simultaneous denoising and super-resolution of OCT images B Yao, L Jin, J Hu, Y Liu, Y Yan, Q Li, Y Lu Biomedical Optics Express 15 (5), 2958-2976, 2024 | 3 | 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 |
| Dark-based optical sectioning assists background removal in fluorescence microscopy R Cao, Y Li, W Wang, G Zhang, G Wang, Y Sun, W Ren, J Sun, Y Hou, ... bioRxiv, 2024.03. 02.578598, 2024 | 1 | 2024 |
| Universal Image Restoration Pre-training via Degradation Classification JK Hu, L Jin, Z Yao, Y Lu arXiv preprint arXiv:2501.15510, 2025 | | 2025 |
| Spike2Former: Efficient Spiking Transformer for High-performance Image Segmentation Z Lei, M Yao, J Hu, X Luo, Y Lu, B Xu, G Li arXiv preprint arXiv:2412.14587, 2024 | | 2024 |
| TexGaussian: Generating High-quality PBR Material via Octree-based 3D Gaussian Splatting B Xiong, J Liu, J Hu, C Wu, J Wu, X Liu, C Zhao, E Ding, Z Lian arXiv preprint arXiv:2411.19654, 2024 | | 2024 |
| Learning-Based Material Decomposition for Spectral X-Ray Imaging Y Lu, X Zhang, J Hu Deep Learning for Advanced X-ray Detection and Imaging Applications, 87-105, 2024 | | 2024 |
| Noise-imitation learning: unpaired speckle noise reduction for optical coherence tomography B Yao, L Jin, J Hu, Y Liu, Y Yan, Q Li, Y Lu Physics in Medicine & Biology 69 (18), 185003, 2024 | | 2024 |
| Structure-Enhanced Unsupervised Domain Adaptation for CT Whole-Brain Segmentation Y Chen, Y Gao, L Zhu, J Li, Y Wang, J Hu, H Han, Y Lu, Z Xie IEEE Transactions on Radiation and Plasma Medical Sciences, 2024 | | 2024 |
| ShareFormer: Share Attention for Efficient Image Restoration JK Hu, L Jin, Y Lu | | |
| Supplementary Materials: Inherent Redundancy in Spiking Neural Networks M Yao, J Hu, G Zhao, Y Wang, Z Zhang, B Xu, G Li | | |
Guoqi LiProfessor, Institue of Automation，Chinese Academy of Sciences，Previously Tsinghua UniversityВерификована је имејл адреса на ia.ac.cn