Gongfan Fang

According to our database, Gongfan Fang authored at least 20 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

PruningBench: A Comprehensive Benchmark of Structural Pruning.

Haoling Li, Changhao Li, Mengqi Xue, Gongfan Fang, Sheng Zhou, Zunlei Feng, Huiqiong Wang, Yong Wang, Lechao Cheng, Mingli Song, Jie Song

CoRR, 2024

AsyncDiff: Parallelizing Diffusion Models by Asynchronous Denoising.

Zigeng Chen, Xinyin Ma, Gongfan Fang, Zhenxiong Tan, Xinchao Wang

CoRR, 2024

Learning-to-Cache: Accelerating Diffusion Transformer via Layer Caching.

Xinyin Ma, Gongfan Fang, Michael Bi Mi, Xinchao Wang

CoRR, 2024

2023

Deep semantic image compression via cooperative network pruning.

Sihui Luo, Gongfan Fang, Mingli Song

J. Vis. Commun. Image Represent., September, 2023

Knowledge Amalgamation for Object Detection With Transformers.

Haofei Zhang, Feng Mao, Mengqi Xue, Gongfan Fang, Zunlei Feng, Jie Song, Mingli Song

IEEE Trans. Image Process., 2023

0.1% Data Makes Segment Anything Slim.

Zigeng Chen, Gongfan Fang, Xinyin Ma, Xinchao Wang

CoRR, 2023

DeepCache: Accelerating Diffusion Models for Free.

Xinyin Ma, Gongfan Fang, Xinchao Wang

CoRR, 2023

LLM-Pruner: On the Structural Pruning of Large Language Models.

Xinyin Ma, Gongfan Fang, Xinchao Wang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Structural Pruning for Diffusion Models.

Gongfan Fang, Xinyin Ma, Xinchao Wang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

DepGraph: Towards Any Structural Pruning.

Gongfan Fang, Xinyin Ma, Mingli Song, Michael Bi Mi, Xinchao Wang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Federated Selective Aggregation for Knowledge Amalgamation.

Donglin Xie, Ruonan Yu, Gongfan Fang, Jie Song, Zunlei Feng, Xinchao Wang, Li Sun, Mingli Song

CoRR, 2022

Prompting to Distill: Boosting Data-Free Knowledge Distillation via Reinforced Prompt.

Xinyin Ma, Xinchao Wang, Gongfan Fang, Yongliang Shen, Weiming Lu

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Up to 100x Faster Data-Free Knowledge Distillation.

Gongfan Fang, Kanya Mo, Xinchao Wang, Jie Song, Shitao Bei, Haofei Zhang, Mingli Song

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Contrastive Model Inversion for Data-Free Knowledge Distillation.

Gongfan Fang, Jie Song, Xinchao Wang, Chengchao Shen, Xingen Wang, Mingli Song

CoRR, 2021

Mosaicking to Distill: Knowledge Distillation from Out-of-Domain Data.

Gongfan Fang, Yifan Bao, Jie Song, Xinchao Wang, Donglin Xie, Chengchao Shen, Mingli Song

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Contrastive Model Invertion for Data-Free Knolwedge Distillation.

Gongfan Fang, Jie Song, Xinchao Wang, Chengchao Shen, Xingen Wang, Mingli Song

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

2020

Impression Space from Deep Template Network.

Gongfan Fang, Xinchao Wang, Haofei Zhang, Jie Song, Mingli Song

CoRR, 2020

Adversarial Self-Supervised Data-Free Distillation for Text Classification.

Xinyin Ma, Yongliang Shen, Gongfan Fang, Chen Chen, Chenghao Jia, Weiming Lu

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

2019

Data-Free Adversarial Distillation.

Gongfan Fang, Jie Song, Chengchao Shen, Xinchao Wang, Da Chen, Mingli Song

CoRR, 2019

Knowledge Amalgamation from Heterogeneous Networks by Common Feature Learning.

Sihui Luo, Xinchao Wang, Gongfan Fang, Yao Hu, Dapeng Tao, Mingli Song

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019