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Gongfan Fang
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Cited by
Cited by
Year
Data-free adversarial distillation
G Fang, J Song, C Shen, X Wang, D Chen, M Song
arXiv preprint arXiv:1912.11006, 2019
1262019
DepGraph: Towards Any Structural Pruning
G Fang, X Ma, M Song, MB Mi, X Wang
CVPR'2023, 2023
912023
LLM-Pruner: On the Structural Pruning of Large Language Models
X Ma, G Fang, X Wang
NeurIPS'2023, 2023
642023
Contrastive Model Inversion for Data-Free Knowledge Distillation
G Fang, J Song, X Wang, C Shen, X Wang, M Song
IJCAI'2021, 2021
552021
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
50*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
382019
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
332021
Structural Pruning for Diffusion Models
G Fang, X Ma, X Wang
NeurIPS'2023, 2023
172023
Adversarial Self-Supervised Data-Free Distillation for Text Classification
X Ma, Y Shen, G Fang, C Chen, C Jia, W Lu
EMNLP'2020, 2020
162020
Deeplabv3plus-pytorch
G Fang
https://github.com/VainF/DeepLabV3Plus-Pytorch, 2019
72019
Prompting to Distill: Boosting Data-Free Knowledge Distillation via Reinforced Prompt
X Ma, X Wang, G Fang, Y Shen, W Lu
IJCAI'2022, 2022
52022
Torch-Pruning
G Fang
https://github.com/VainF/Torch-Pruning, 2019
52019
Pytorch ms-ssim
G Fang
5*2019
DeepCache: Accelerating Diffusion Models for Free
X Ma, G Fang, X Wang
arXiv preprint arXiv:2312.00858, 2023
42023
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
32022
0.1% Data Makes Segment Anything Slim
Z Chen, G Fang, X Ma, X Wang
arXiv preprint arXiv:2312.05284, 2023
2023
Federated selective aggregation for on-device knowledge amalgamation
D Xie, R Yu, G Fang, J Han, J Song, Z Feng, L Sun, M Song
Chip 2 (3), 100053, 2023
2023
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Articles 1–17