Gongfan Fang

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 31

Top Topics

Diffusion Models

Benchmark Suite

Top Venues

J. Vis. Commun. Image Represent.

Publications

Zhenxiong Tan, Xinyin Ma, Gongfan Fang, Xinchao Wang
LiteFocus: Accelerated Diffusion Inference for Long Audio Synthesis. CoRR (2024)
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 (2024)
Gongfan Fang, Xinyin Ma, Michael Bi Mi, Xinchao Wang
Isomorphic Pruning for Vision Models. CoRR (2024)
Zigeng Chen, Xinyin Ma, Gongfan Fang, Zhenxiong Tan, Xinchao Wang
AsyncDiff: Parallelizing Diffusion Models by Asynchronous Denoising. CoRR (2024)
Xinyin Ma, Gongfan Fang, Michael Bi Mi, Xinchao Wang
Learning-to-Cache: Accelerating Diffusion Transformer via Layer Caching. CoRR (2024)
Xinyin Ma, Gongfan Fang, Xinchao Wang
DeepCache: Accelerating Diffusion Models for Free. CoRR (2023)
Gongfan Fang, Xinyin Ma, Xinchao Wang
Structural Pruning for Diffusion Models. CoRR (2023)
Gongfan Fang, Xinyin Ma, Mingli Song, Michael Bi Mi, Xinchao Wang
DepGraph: Towards Any Structural Pruning. CVPR (2023)
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 (2023)
Sihui Luo, Gongfan Fang, Mingli Song
Deep semantic image compression via cooperative network pruning. J. Vis. Commun. Image Represent. 95 (2023)
Gongfan Fang, Xinyin Ma, Mingli Song, Michael Bi Mi, Xinchao Wang
DepGraph: Towards Any Structural Pruning. CoRR (2023)
Gongfan Fang, Xinyin Ma, Xinchao Wang
Structural Pruning for Diffusion Models. NeurIPS (2023)
Xinyin Ma, Gongfan Fang, Xinchao Wang
LLM-Pruner: On the Structural Pruning of Large Language Models. CoRR (2023)
Xinyin Ma, Gongfan Fang, Xinchao Wang
LLM-Pruner: On the Structural Pruning of Large Language Models. NeurIPS (2023)
Zigeng Chen, Gongfan Fang, Xinyin Ma, Xinchao Wang
0.1% Data Makes Segment Anything Slim. CoRR (2023)
Donglin Xie, Ruonan Yu, Gongfan Fang, Jie Song, Zunlei Feng, Xinchao Wang, Li Sun, Mingli Song
Federated Selective Aggregation for Knowledge Amalgamation. CoRR (2022)
Gongfan Fang, Kanya Mo, Xinchao Wang, Jie Song, Shitao Bei, Haofei Zhang, Mingli Song
Up to 100x Faster Data-Free Knowledge Distillation. AAAI (2022)
Xinyin Ma, Xinchao Wang, Gongfan Fang, Yongliang Shen, Weiming Lu
Prompting to Distill: Boosting Data-Free Knowledge Distillation via Reinforced Prompt. CoRR (2022)
Haofei Zhang, Feng Mao, Mengqi Xue, Gongfan Fang, Zunlei Feng, Jie Song, Mingli Song
Knowledge Amalgamation for Object Detection with Transformers. CoRR (2022)
Xinyin Ma, Xinchao Wang, Gongfan Fang, Yongliang Shen, Weiming Lu
Prompting to Distill: Boosting Data-Free Knowledge Distillation via Reinforced Prompt. IJCAI (2022)
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)
Gongfan Fang, Kanya Mo, Xinchao Wang, Jie Song, Shitao Bei, Haofei Zhang, Mingli Song
Up to 100x Faster Data-free Knowledge Distillation. CoRR (2021)
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 (2021)
Gongfan Fang, Jie Song, Xinchao Wang, Chengchao Shen, Xingen Wang, Mingli Song
Contrastive Model Inversion for Data-Free Knowledge Distillation. CoRR (2021)
Gongfan Fang, Jie Song, Xinchao Wang, Chengchao Shen, Xingen Wang, Mingli Song
Contrastive Model Invertion for Data-Free Knolwedge Distillation. IJCAI (2021)
Gongfan Fang, Xinchao Wang, Haofei Zhang, Jie Song, Mingli Song
Impression Space from Deep Template Network. CoRR (2020)
Xinyin Ma, Yongliang Shen, Gongfan Fang, Chen Chen, Chenghao Jia, Weiming Lu
Adversarial Self-Supervised Data-Free Distillation for Text Classification. CoRR (2020)
Xinyin Ma, Yongliang Shen, Gongfan Fang, Chen Chen, Chenghao Jia, Weiming Lu
Adversarial Self-Supervised Data-Free Distillation for Text Classification. EMNLP (1) (2020)
Sihui Luo, Xinchao Wang, Gongfan Fang, Yao Hu, Dapeng Tao, Mingli Song
Knowledge Amalgamation from Heterogeneous Networks by Common Feature Learning. IJCAI (2019)
Sihui Luo, Xinchao Wang, Gongfan Fang, Yao Hu, Dapeng Tao, Mingli Song
Knowledge Amalgamation from Heterogeneous Networks by Common Feature Learning. CoRR (2019)
Gongfan Fang, Jie Song, Chengchao Shen, Xinchao Wang, Da Chen, Mingli Song
Data-Free Adversarial Distillation. CoRR (2019)