Gongfan Fang · National University of Singapore

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Wang Xinchao
PhD advisor · until 2026 · National University of Singapore
From a thesis record ↗

Works50 from public data

TitleCited by

DepGraph: Towards Any Structural Pruning
Gongfan Fang, Xinyin Ma, Ming-Li Song, Michael Bi Mi, Xinchao Wang
IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 2023
566
DeepCache: Accelerating Diffusion Models for Free
Xinyin Ma, Gongfan Fang, Xinchao Wang
IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 2024
464
Up to 100x Faster Data-Free Knowledge Distillation
Gongfan Fang, Kanya Mo, Xinchao Wang, Jie Song, Shitao Bei, Haofei Zhang, Ming-Li Song
Proceedings of the AAAI Conference on Artificial Intelligence · 2022
110
Data-Free Adversarial Distillation
arXiv · 2019
102
Efficient Reasoning Models: A Survey
Si-Cheng Feng, Gongfan Fang, Xinyin Ma, Xin-Chao Wang
arXiv · 2025
92
LLM-Pruner: On the Structural Pruning of Large Language Models
neural information processing systems · 2023
72
Knowledge Amalgamation from Heterogeneous Networks by Common Feature Learning
Sihui Luo, Xinchao Wang, Gongfan Fang, Yao Hu, Da-Peng Tao, Mingli Song
International Joint Conference on Artificial Intelligence · 2019
61
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
50
TinyFusion: Diffusion Transformers Learned Shallow
Gongfan Fang, Kunjun Li, Xinyin Ma, Xin-Chao Wang
IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 2025
47
Collaborative Decoding Makes Visual Auto-Regressive Modeling Efficient
Zigeng Chen, Xinyin Ma, Gongfan Fang, Xin-Chao Wang
IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 2025
37
Contrastive Model Inversion for Data-Free Knowledge Distillation
arXiv · 2021
30
Adversarial Self-Supervised Data-Free Distillation for Text Classification
Xinyin Ma, Yongliang Shen, Gongfan Fang, Chen Chen, Chenghao Jia, Weiming Lu
Conference on Empirical Methods in Natural Language Processing (EMNLP) · 2020
27
Structural Pruning for Diffusion Models
neural information processing systems · 2023
26
SparseD: Sparse Attention for Diffusion Language Models
Ze-Qing Wang, Gongfan Fang, Xinyin Ma, Xing-Yi Yang, Xin-Chao Wang
arXiv · 2025
19
Isomorphic Pruning for Vision Models
Lecture notes in computer science · 2024
19
DMax: Aggressive Parallel Decoding for dLLMs
Zigeng Chen, Gongfan Fang, Xinyin Ma, Ruonan Yu, Xin-Chao Wang
arXiv · 2026
18
PointLoRA: Low-Rank Adaptation with Token Selection for Point Cloud Learning
Song Wang, Xiaolu Liu, Lingdong Kong, Jian-Yun Xu, Chunyong Hu, Gongfan Fang, Wen-Tong Li, Jianke Zhu, +1 more
IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 2025
18
Knowledge Amalgamation for Object Detection With Transformers
Haofei Zhang, Feng Mao, Mengqi Xue, Gongfan Fang, Zunlei Feng, Jie Song, Ming-Li Song
IEEE Transactions on Image Processing · 2023
18
MaskLLM: Learnable Semi-Structured Sparsity for Large Language Models
neural information processing systems · 2024
14
SlimSAM: 0.1% Data Makes Segment Anything Slim
neural information processing systems · 2024
11
Learning-to-Cache: Accelerating Diffusion Transformer via Layer Caching
neural information processing systems · 2024
10
dVoting: Fast Voting for dLLMs
Si-Cheng Feng, Zigeng Chen, Xinyin Ma, Gongfan Fang, Xin-Chao Wang
arXiv · 2026
8
AsyncDiff: Parallelizing Diffusion Models by Asynchronous Denoising
neural information processing systems · 2024
7
Mosaicking to Distill: Knowledge Distillation from Out-of-Domain Data
arXiv · 2021
7
Diffusion Model is Effectively Its Own Teacher
Xinyin Ma, Runpeng Yu, Song-Hua Liu, Gongfan Fang, Xin-Chao Wang
IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 2025
6

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Publication data from OpenAlex, with missing venues and authors filled in from Crossref; citation counts are the higher of OpenAlex and Semantic Scholar, last synced 2026-10-10. Citation counts may be lower than on Google Scholar, which indexes more sources.

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