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2020 – today
- 2024
[c11]Xinyin Ma, Gongfan Fang, Xinchao Wang:
DeepCache: Accelerating Diffusion Models for Free. CVPR 2024: 15762-15772- [c10]Gongfan Fang, Xinyin Ma, Michael Bi Mi, Xinchao Wang:
Isomorphic Pruning for Vision Models. ECCV (30) 2024: 232-250 - [i21]Xinyin Ma, Gongfan Fang, Michael Bi Mi, Xinchao Wang:
Learning-to-Cache: Accelerating Diffusion Transformer via Layer Caching. CoRR abs/2406.01733 (2024) - [i20]Zigeng Chen, Xinyin Ma, Gongfan Fang, Zhenxiong Tan, Xinchao Wang:
AsyncDiff: Parallelizing Diffusion Models by Asynchronous Denoising. CoRR abs/2406.06911 (2024) - [i19]Haoling Li, Changhao Li, Mengqi Xue, Gongfan Fang, Sheng Zhou, Zunlei Feng, Huiqiong Wang, Yong Wang, Lechao Cheng, Mingli Song, Jie Song:
PruningBench: A Comprehensive Benchmark of Structural Pruning. CoRR abs/2406.12315 (2024) - [i18]Gongfan Fang, Xinyin Ma, Michael Bi Mi, Xinchao Wang:
Isomorphic Pruning for Vision Models. CoRR abs/2407.04616 (2024) - [i17]Zhenxiong Tan, Xinyin Ma, Gongfan Fang, Xinchao Wang:
LiteFocus: Accelerated Diffusion Inference for Long Audio Synthesis. CoRR abs/2407.10468 (2024) - [i16]Gongfan Fang, Hongxu Yin, Saurav Muralidharan, Greg Heinrich, Jeff Pool, Jan Kautz, Pavlo Molchanov, Xinchao Wang:
MaskLLM: Learnable Semi-Structured Sparsity for Large Language Models. CoRR abs/2409.17481 (2024) - 2023
- [j2]Sihui Luo
, Gongfan Fang, Mingli Song:
Deep semantic image compression via cooperative network pruning. J. Vis. Commun. Image Represent. 95: 103897 (2023) - [j1]Haofei Zhang, Feng Mao, Mengqi Xue, Gongfan Fang, Zunlei Feng, Jie Song, Mingli Song:
Knowledge Amalgamation for Object Detection With Transformers. IEEE Trans. Image Process. 32: 2093-2106 (2023) - [c9]Gongfan Fang, Xinyin Ma, Mingli Song, Michael Bi Mi, Xinchao Wang:
DepGraph: Towards Any Structural Pruning. CVPR 2023: 16091-16101 - [c8]Gongfan Fang, Xinyin Ma, Xinchao Wang:
Structural Pruning for Diffusion Models. NeurIPS 2023 - [c7]Xinyin Ma, Gongfan Fang, Xinchao Wang:
LLM-Pruner: On the Structural Pruning of Large Language Models. NeurIPS 2023 - [i15]Gongfan Fang, Xinyin Ma, Mingli Song, Michael Bi Mi, Xinchao Wang:
DepGraph: Towards Any Structural Pruning. CoRR abs/2301.12900 (2023) - [i14]Gongfan Fang, Xinyin Ma, Xinchao Wang:
Structural Pruning for Diffusion Models. CoRR abs/2305.10924 (2023) - [i13]Xinyin Ma, Gongfan Fang, Xinchao Wang:
LLM-Pruner: On the Structural Pruning of Large Language Models. CoRR abs/2305.11627 (2023) - [i12]Xinyin Ma, Gongfan Fang, Xinchao Wang:
DeepCache: Accelerating Diffusion Models for Free. CoRR abs/2312.00858 (2023) - [i11]Zigeng Chen, Gongfan Fang, Xinyin Ma, Xinchao Wang:
0.1% Data Makes Segment Anything Slim. CoRR abs/2312.05284 (2023) - 2022
- [c6]Gongfan Fang, Kanya Mo, Xinchao Wang, Jie Song, Shitao Bei, Haofei Zhang, Mingli Song:
Up to 100x Faster Data-Free Knowledge Distillation. AAAI 2022: 6597-6604 - [c5]Xinyin Ma, Xinchao Wang, Gongfan Fang, Yongliang Shen, Weiming Lu:
Prompting to Distill: Boosting Data-Free Knowledge Distillation via Reinforced Prompt. IJCAI 2022: 4296-4302 - [i10]Haofei Zhang, Feng Mao, Mengqi Xue, Gongfan Fang, Zunlei Feng, Jie Song, Mingli Song:
Knowledge Amalgamation for Object Detection with Transformers. CoRR abs/2203.03187 (2022) - [i9]Xinyin Ma, Xinchao Wang, Gongfan Fang, Yongliang Shen, Weiming Lu:
Prompting to Distill: Boosting Data-Free Knowledge Distillation via Reinforced Prompt. CoRR abs/2205.07523 (2022) - [i8]Donglin Xie, Ruonan Yu, Gongfan Fang, Jie Song, Zunlei Feng, Xinchao Wang, Li Sun, Mingli Song:
Federated Selective Aggregation for Knowledge Amalgamation. CoRR abs/2207.13309 (2022) - 2021
- [c4]Gongfan Fang, Jie Song, Xinchao Wang, Chengchao Shen, Xingen Wang, Mingli Song:
Contrastive Model Invertion for Data-Free Knolwedge Distillation. IJCAI 2021: 2374-2380 - [c3]Gongfan Fang, Yifan Bao, Jie Song, Xinchao Wang, Donglin Xie, Chengchao Shen, Mingli Song:
Mosaicking to Distill: Knowledge Distillation from Out-of-Domain Data. NeurIPS 2021: 11920-11932 - [i7]Gongfan Fang, Jie Song, Xinchao Wang, Chengchao Shen, Xingen Wang, Mingli Song:
Contrastive Model Inversion for Data-Free Knowledge Distillation. CoRR abs/2105.08584 (2021) - [i6]Gongfan Fang, Yifan Bao, Jie Song, Xinchao Wang, Donglin Xie, Chengchao Shen, Mingli Song:
Mosaicking to Distill: Knowledge Distillation from Out-of-Domain Data. CoRR abs/2110.15094 (2021) - [i5]Gongfan Fang, Kanya Mo, Xinchao Wang, Jie Song, Shitao Bei, Haofei Zhang, Mingli Song:
Up to 100x Faster Data-free Knowledge Distillation. CoRR abs/2112.06253 (2021) - 2020
- [c2]Xinyin Ma, Yongliang Shen, Gongfan Fang, Chen Chen, Chenghao Jia, Weiming Lu:
Adversarial Self-Supervised Data-Free Distillation for Text Classification. EMNLP (1) 2020: 6182-6192 - [i4]Gongfan Fang, Xinchao Wang, Haofei Zhang, Jie Song, Mingli Song:
Impression Space from Deep Template Network. CoRR abs/2007.05441 (2020) - [i3]Xinyin Ma, Yongliang Shen, Gongfan Fang, Chen Chen, Chenghao Jia, Weiming Lu:
Adversarial Self-Supervised Data-Free Distillation for Text Classification. CoRR abs/2010.04883 (2020)
2010 – 2019
- 2019
- [c1]Sihui Luo, Xinchao Wang, Gongfan Fang, Yao Hu, Dapeng Tao, Mingli Song:
Knowledge Amalgamation from Heterogeneous Networks by Common Feature Learning. IJCAI 2019: 3087-3093 - [i2]Sihui Luo, Xinchao Wang, Gongfan Fang, Yao Hu, Dapeng Tao, Mingli Song:
Knowledge Amalgamation from Heterogeneous Networks by Common Feature Learning. CoRR abs/1906.10546 (2019) - [i1]Gongfan Fang, Jie Song, Chengchao Shen, Xinchao Wang, Da Chen, Mingli Song:
Data-Free Adversarial Distillation. CoRR abs/1912.11006 (2019)
Coauthor Index
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