| A deep neural network compression algorithm based on knowledge transfer for edge devices Y Chen, C Li, L Gong, X Wen, Y Zhang, W Shi Computer Communications 163, 186-194, 2020 | 21 | 2020 |
| Sketch-fusion: a gradient compression method with multi-layer fusion for communication-efficient distributed training L Dai, L Gong, Z An, Y Xu, B Diao Journal of Parallel and Distributed Computing 185, 104811, 2024 | 7 | 2024 |
| Towards compressing efficient generative adversarial networks for image translation via pruning and distilling L Gong, C Li, H Hong, H Zhu, T Qian, Y Xu Artificial Neural Networks and Machine Learning–ICANN 2021: 30th …, 2021 | 2 | 2021 |
| 基于模型性能相关性的分级剪枝率剪枝方法 杨康， 郭荣佐， 李超， 许建荣， 严阳春， 宫禄齐 计算机工程与设计 42 (4), 1109-1115, 2021 | 1 | 2021 |
| TransformDAS: Mapping {\Phi}-OTDR Signals to Riemannian Manifold for Robust Classification J Kang, P Han, Y Chun, X Wang, L Gong arXiv preprint arXiv:2502.02428, 2025 | | 2025 |
| Hybrid Parallel Inference for Large Model on Heterogeneous Clusters for High Throughput C Xu, W Kong, M Liu, M Zhang, C Li, L Gong 2023 IEEE 29th International Conference on Parallel and Distributed Systems …, 2023 | | 2023 |
