| Residual local feature network for efficient super-resolution F Kong, M Li, S Liu, D Liu, J He, Y Bai, F Chen, L Fu Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 212 | 2022 |
| Mixsearch: Searching for domain generalized medical image segmentation architectures L Liu, Z Wen, S Liu, HY Zhou, H Zhu, W Xie, L Shen, K Ma, Y Zheng arXiv preprint arXiv:2102.13280, 2021 | 12 | 2021 |
| Unfolding once is enough: A deployment-friendly transformer unit for super-resolution Y Liu, H Dong, B Liang, S Liu, Q Dong, K Chen, F Chen, L Fu, F Wang Proceedings of the 31st ACM International Conference on Multimedia, 7952-7960, 2023 | 11 | 2023 |
| Ntire 2022 challenge on efficient super-resolution: Methods and results FS Khan, S Khan Conference on Computer Vision and Pattern Recognition Workshops (CVPRW …, 2022 | 10 | 2022 |
| Binary convolutional neural network with high accuracy and compression rate S Liu, H Zhu Proceedings of the 2019 2nd International Conference on Algorithms …, 2019 | 7 | 2019 |
| Foldgpt: Simple and effective large language model compression scheme S Liu, C Zeng, L Li, C Yan, L Fu, X Mei, F Chen arXiv preprint arXiv:2407.00928, 2024 | 4 | 2024 |
| Abq-llm: Arbitrary-bit quantized inference acceleration for large language models C Zeng, S Liu, Y Xie, H Liu, X Wang, M Wei, S Yang, F Chen, X Mei arXiv preprint arXiv:2408.08554, 2024 | 2 | 2024 |
| Hybrid sd: Edge-cloud collaborative inference for stable diffusion models C Yan, S Liu, H Liu, X Peng, X Wang, F Chen, L Fu, X Mei arXiv preprint arXiv:2408.06646, 2024 | 2 | 2024 |
| SparseByteNN: A Novel Mobile Inference Acceleration Framework Based on Fine-Grained Group Sparsity H Xu, S Liu, Y Xu, S Wang, J Li, C Yan, L Li, L Fu, X Pan, F Chen arXiv preprint arXiv:2310.19509, 2023 | 1 | 2023 |
| GQSA: Group Quantization and Sparsity for Accelerating Large Language Model Inference C Zeng, S Liu, S Yang, F Chen, X Mei, L Fu arXiv preprint arXiv:2412.17560, 2024 | | 2024 |
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