| LLM-Pruner: On the Structural Pruning of Large Language Models X Ma, G Fang, X Wang NeurIPS'2023, 2023 | 199 | 2023 |
| DepGraph: Towards Any Structural Pruning G Fang, X Ma, M Song, MB Mi, X Wang CVPR'2023, 2023 | 189 | 2023 |
| Data-free adversarial distillation G Fang, J Song, C Shen, X Wang, D Chen, M Song arXiv preprint arXiv:1912.11006, 2019 | 148 | 2019 |
| Structural Pruning for Diffusion Models G Fang, X Ma, X Wang NeurIPS'2023, 2023 | 91* | 2023 |
| Contrastive Model Inversion for Data-Free Knowledge Distillation G Fang, J Song, X Wang, C Shen, X Wang, M Song IJCAI'2021, 2021 | 71 | 2021 |
| Up to 100 Faster Data-free Knowledge Distillation G Fang, K Mo, X Wang, J Song, S Bei, H Zhang, M Song AAAI'2022, 2021 | 64* | 2021 |
| Knowledge amalgamation from heterogeneous networks by common feature learning S Luo, X Wang, G Fang, Y Hu, D Tao, M Song IJCAI'2019, 2019 | 50 | 2019 |
| Mosaicking to Distill: Knowledge Distillation from Out-of-Domain Data G Fang, Y Bao, J Song, X Wang, D Xie, C Shen, M Song NeurIPS'2021, 2021 | 38 | 2021 |
| Deepcache: Accelerating diffusion models for free X Ma, G Fang, X Wang CVPR'2024, 2024 | 30 | 2024 |
| Adversarial Self-Supervised Data-Free Distillation for Text Classification X Ma, Y Shen, G Fang, C Chen, C Jia, W Lu EMNLP'2020, 2020 | 20 | 2020 |
| Knowledge Amalgamation for Object Detection with Transformers H Zhang, F Mao, M Xue, G Fang, Z Feng, J Song, M Song IEEE Transactions on Image Processing, 2022 | 8 | 2022 |
| Deeplabv3plus-pytorch G Fang https://github.com/VainF/DeepLabV3Plus-Pytorch, 2019 | 7 | 2019 |
| Depgraph: Towards any structural pruning. The IEEE G Fang, X Ma, M Song, MB Mi, X Wang CVF Conference on Computer Vision and Pattern Recognition, 2023 | 6 | 2023 |
| Prompting to Distill: Boosting Data-Free Knowledge Distillation via Reinforced Prompt X Ma, X Wang, G Fang, Y Shen, W Lu IJCAI'2022, 2022 | 6 | 2022 |
| Torch-Pruning G Fang https://github.com/VainF/Torch-Pruning, 2019 | 6 | 2019 |
| Pytorch ms-ssim G Fang | 5* | 2019 |
| LiteFocus: Accelerated Diffusion Inference for Long Audio Synthesis Z Tan, X Ma, G Fang, X Wang arXiv preprint arXiv:2407.10468, 2024 | | 2024 |
| Isomorphic Pruning for Vision Models G Fang, X Ma, MB Mi, X Wang ECCV 2024, 2024 | | 2024 |
| PruningBench: A Comprehensive Benchmark of Structural Pruning H Li, C Li, M Xue, G Fang, S Zhou, Z Feng, H Wang, Y Wang, L Cheng, ... arXiv preprint arXiv:2406.12315, 2024 | | 2024 |
| AsyncDiff: Parallelizing Diffusion Models by Asynchronous Denoising Z Chen, X Ma, G Fang, Z Tan, X Wang arXiv preprint arXiv:2406.06911, 2024 | | 2024 |
Xinchao WangNational University of Singapore在 nus.edu.sg 的电子邮件经过验证
