Gongfan Fang

67 papers A* 19A 1Journal 44Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
Invisible Safety Threat: Malicious Finetuning for LLM via Steganography.
CoRR
Guangnian Wan, Xinyin Ma, Gongfan Fang, Xinchao Wang
2026 J jnl
Rethinking Token Reduction for Large Vision-Language Models.
CoRR
Yi Wang, Haofei Zhang, Qihan Huang, Anda Cao, Gongfan Fang, Wei Wang, Xuan Jin, Jie Song, Mingli Song, Xinchao Wang
2026 J jnl
Self-Purification Mitigates Backdoors in Multimodal Diffusion Language Models.
CoRR
Guangnian Wan, Qi Li, Gongfan Fang, Xinyin Ma, Xinchao Wang
2026 A* conf
Taming the Phantom: Token-Asymmetric Filtering for Hallucination Mitigation in Large Vision-Language Models.
AAAI
Shuyi Ouyang, Hongyi Wang, Gongfan Fang, Xinyin Ma, Lanfen Lin, Xinchao Wang
2026 J jnl
dVoting: Fast Voting for dLLMs.
CoRR
Sicheng Feng, Zigeng Chen, Xinyin Ma, Gongfan Fang, Xinchao Wang
2025 — conf
CoT-Valve: Length-Compressible Chain-of-Thought Tuning.
ACL (1)
Xinyin Ma, Guangnian Wan, Runpeng Yu, Gongfan Fang, Xinchao Wang
2025 J jnl
CoT-Valve: Length-Compressible Chain-of-Thought Tuning.
CoRR
Xinyin Ma, Guangnian Wan, Runpeng Yu, Gongfan Fang, Xinchao Wang
2025 A* conf
Collaborative Decoding Makes Visual Auto-Regressive Modeling Efficient.
CVPR
Zigeng Chen, Xinyin Ma, Gongfan Fang, Xinchao Wang
2025 J jnl
ConciseHint: Boosting Efficient Reasoning via Continuous Concise Hints during Generation.
CoRR
Siao Tang, Xinyin Ma, Gongfan Fang, Xinchao Wang
2025 A* conf
Diffusion Model is Effectively Its Own Teacher.
CVPR
Xinyin Ma, Runpeng Yu, Songhua Liu, Gongfan Fang, Xinchao Wang
2025 J jnl
Diversity-Guided MLP Reduction for Efficient Large Vision Transformers.
CoRR
Chengchao Shen, Hourun Zhu, Gongfan Fang, Jianxin Wang, Xinchao Wang
2025 J jnl
Efficient Reasoning Models: A Survey.
CoRR
Sicheng Feng, Gongfan Fang, Xinyin Ma, Xinchao Wang
2025 J jnl
Efficient Reasoning Models: A Survey.
Trans. Mach. Learn. Res.
Sicheng Feng, Gongfan Fang, Xinyin Ma, Xinchao Wang
2025 J jnl
In-Video Instructions: Visual Signals as Generative Control.
CoRR
Gongfan Fang, Xinyin Ma, Xinchao Wang
2025 J jnl
MixReasoning: Switching Modes to Think.
CoRR
Haiquan Lu, Gongfan Fang, Xinyin Ma, Qi Li, Xinchao Wang
2025 J jnl
PixelThink: Towards Efficient Chain-of-Pixel Reasoning.
CoRR
Song Wang, Gongfan Fang, Lingdong Kong, Xiangtai Li, Jianyun Xu, Sheng Yang, Qiang Li, Jianke Zhu, Xinchao Wang
2025 A* conf
PointLoRA: Low-Rank Adaptation with Token Selection for Point Cloud Learning.
CVPR
Song Wang, Xiaolu Liu, Lingdong Kong, Jianyun Xu, Chunyong Hu, Gongfan Fang, Wentong Li, Jianke Zhu, Xinchao Wang
2025 J jnl
PointLoRA: Low-Rank Adaptation with Token Selection for Point Cloud Learning.
CoRR
Song Wang, Xiaolu Liu, Lingdong Kong, Jianyun Xu, Chunyong Hu, Gongfan Fang, Wentong Li, Jianke Zhu, Xinchao Wang
2025 J jnl
SparseD: Sparse Attention for Diffusion Language Models.
CoRR
Zeqing Wang, Gongfan Fang, Xinyin Ma, Xingyi Yang, Xinchao Wang
2025 J jnl
Thinkless: LLM Learns When to Think.
CoRR
Gongfan Fang, Xinyin Ma, Xinchao Wang
2025 A* conf
TinyFusion: Diffusion Transformers Learned Shallow.
CVPR
Gongfan Fang, Kunjun Li, Xinyin Ma, Xinchao Wang
2025 J jnl
VeriThinker: Learning to Verify Makes Reasoning Model Efficient.
CoRR
Zigeng Chen, Xinyin Ma, Gongfan Fang, Ruonan Yu, Xinchao Wang
2025 J jnl
dKV-Cache: The Cache for Diffusion Language Models.
CoRR
Xinyin Ma, Runpeng Yu, Gongfan Fang, Xinchao Wang
2025 J jnl
dParallel: Learnable Parallel Decoding for dLLMs.
CoRR
Zigeng Chen, Gongfan Fang, Xinyin Ma, Ruonan Yu, Xinchao Wang
2024 A* conf
AsyncDiff: Parallelizing Diffusion Models by Asynchronous Denoising.
NeurIPS
Zigeng Chen, Xinyin Ma, Gongfan Fang, Zhenxiong Tan, Xinchao Wang
2024 J jnl
AsyncDiff: Parallelizing Diffusion Models by Asynchronous Denoising.
CoRR
Zigeng Chen, Xinyin Ma, Gongfan Fang, Zhenxiong Tan, Xinchao Wang
2024 J jnl
Collaborative Decoding Makes Visual Auto-Regressive Modeling Efficient.
CoRR
Zigeng Chen, Xinyin Ma, Gongfan Fang, Xinchao Wang
2024 A* conf
DeepCache: Accelerating Diffusion Models for Free.
CVPR
Xinyin Ma, Gongfan Fang, Xinchao Wang
2024 — conf
Isomorphic Pruning for Vision Models.
ECCV (30)
Gongfan Fang, Xinyin Ma, Michael Bi Mi, Xinchao Wang
2024 J jnl
Isomorphic Pruning for Vision Models.
CoRR
Gongfan Fang, Xinyin Ma, Michael Bi Mi, Xinchao Wang
2024 A* conf
Learning-to-Cache: Accelerating Diffusion Transformer via Layer Caching.
NeurIPS
Xinyin Ma, Gongfan Fang, Michael Bi Mi, Xinchao Wang
2024 J jnl
Learning-to-Cache: Accelerating Diffusion Transformer via Layer Caching.
CoRR
Xinyin Ma, Gongfan Fang, Michael Bi Mi, Xinchao Wang
2024 A conf
LiteFocus: Accelerated Diffusion Inference for Long Audio Synthesis.
INTERSPEECH
Zhenxiong Tan, Xinyin Ma, Gongfan Fang, Xinchao Wang
2024 J jnl
LiteFocus: Accelerated Diffusion Inference for Long Audio Synthesis.
CoRR
Zhenxiong Tan, Xinyin Ma, Gongfan Fang, Xinchao Wang
2024 A* conf
MaskLLM: Learnable Semi-Structured Sparsity for Large Language Models.
NeurIPS
Gongfan Fang, Hongxu Yin, Saurav Muralidharan, Greg Heinrich, Jeff Pool, Jan Kautz, Pavlo Molchanov, Xinchao Wang
2024 J jnl
MaskLLM: Learnable Semi-Structured Sparsity for Large Language Models.
CoRR
Gongfan Fang, Hongxu Yin, Saurav Muralidharan, Greg Heinrich, Jeff Pool, Jan Kautz, Pavlo Molchanov, Xinchao Wang
2024 J jnl
PruningBench: A Comprehensive Benchmark of Structural Pruning.
CoRR
Haoling Li, Changhao Li, Mengqi Xue, Gongfan Fang, Sheng Zhou, Zunlei Feng, Huiqiong Wang, Yong Wang, Lechao Cheng, Mingli Song, Jie Song
2024 A* conf
Remix-DiT: Mixing Diffusion Transformers for Multi-Expert Denoising.
NeurIPS
Gongfan Fang, Xinyin Ma, Xinchao Wang
2024 J jnl
Remix-DiT: Mixing Diffusion Transformers for Multi-Expert Denoising.
CoRR
Gongfan Fang, Xinyin Ma, Xinchao Wang
2024 A* conf
SlimSAM: 0.1% Data Makes Segment Anything Slim.
NeurIPS
Zigeng Chen, Gongfan Fang, Xinyin Ma, Xinchao Wang
2024 J jnl
TinyFusion: Diffusion Transformers Learned Shallow.
CoRR
Gongfan Fang, Kunjun Li, Xinyin Ma, Xinchao Wang
2023 J jnl
0.1% Data Makes Segment Anything Slim.
CoRR
Zigeng Chen, Gongfan Fang, Xinyin Ma, Xinchao Wang
2023 J jnl
Deep semantic image compression via cooperative network pruning.
J. Vis. Commun. Image Represent.
Sihui Luo, Gongfan Fang, Mingli Song
2023 J jnl
DeepCache: Accelerating Diffusion Models for Free.
CoRR
Xinyin Ma, Gongfan Fang, Xinchao Wang
2023 A* conf
DepGraph: Towards Any Structural Pruning.
CVPR
Gongfan Fang, Xinyin Ma, Mingli Song, Michael Bi Mi, Xinchao Wang
2023 J jnl
DepGraph: Towards Any Structural Pruning.
CoRR
Gongfan Fang, Xinyin Ma, Mingli Song, Michael Bi Mi, Xinchao Wang
2023 J jnl
Knowledge Amalgamation for Object Detection With Transformers.
IEEE Trans. Image Process.
Haofei Zhang, Feng Mao, Mengqi Xue, Gongfan Fang, Zunlei Feng, Jie Song, Mingli Song
2023 A* conf
LLM-Pruner: On the Structural Pruning of Large Language Models.
NeurIPS
Xinyin Ma, Gongfan Fang, Xinchao Wang
2023 J jnl
LLM-Pruner: On the Structural Pruning of Large Language Models.
CoRR
Xinyin Ma, Gongfan Fang, Xinchao Wang
2023 A* conf
Structural Pruning for Diffusion Models.
NeurIPS
Gongfan Fang, Xinyin Ma, Xinchao Wang
2023 J jnl
Structural Pruning for Diffusion Models.
CoRR
Gongfan Fang, Xinyin Ma, Xinchao Wang
2022 J jnl
Federated Selective Aggregation for Knowledge Amalgamation.
CoRR
Donglin Xie, Ruonan Yu, Gongfan Fang, Jie Song, Zunlei Feng, Xinchao Wang, Li Sun, Mingli Song
2022 J jnl
Knowledge Amalgamation for Object Detection with Transformers.
CoRR
Haofei Zhang, Feng Mao, Mengqi Xue, Gongfan Fang, Zunlei Feng, Jie Song, Mingli Song
2022 A* conf
Prompting to Distill: Boosting Data-Free Knowledge Distillation via Reinforced Prompt.
IJCAI
Xinyin Ma, Xinchao Wang, Gongfan Fang, Yongliang Shen, Weiming Lu
2022 J jnl
Prompting to Distill: Boosting Data-Free Knowledge Distillation via Reinforced Prompt.
CoRR
Xinyin Ma, Xinchao Wang, Gongfan Fang, Yongliang Shen, Weiming Lu
2022 A* conf
Up to 100x Faster Data-Free Knowledge Distillation.
AAAI
Gongfan Fang, Kanya Mo, Xinchao Wang, Jie Song, Shitao Bei, Haofei Zhang, Mingli Song
2021 J jnl
Contrastive Model Inversion for Data-Free Knowledge Distillation.
CoRR
Gongfan Fang, Jie Song, Xinchao Wang, Chengchao Shen, Xingen Wang, Mingli Song
2021 A* conf
Contrastive Model Invertion for Data-Free Knolwedge Distillation.
IJCAI
Gongfan Fang, Jie Song, Xinchao Wang, Chengchao Shen, Xingen Wang, Mingli Song
2021 A* conf
Mosaicking to Distill: Knowledge Distillation from Out-of-Domain Data.
NeurIPS
Gongfan Fang, Yifan Bao, Jie Song, Xinchao Wang, Donglin Xie, Chengchao Shen, Mingli Song
2021 J jnl
Mosaicking to Distill: Knowledge Distillation from Out-of-Domain Data.
CoRR
Gongfan Fang, Yifan Bao, Jie Song, Xinchao Wang, Donglin Xie, Chengchao Shen, Mingli Song
2021 J jnl
Up to 100x Faster Data-free Knowledge Distillation.
CoRR
Gongfan Fang, Kanya Mo, Xinchao Wang, Jie Song, Shitao Bei, Haofei Zhang, Mingli Song
2020 — conf
Adversarial Self-Supervised Data-Free Distillation for Text Classification.
EMNLP (1)
Xinyin Ma, Yongliang Shen, Gongfan Fang, Chen Chen, Chenghao Jia, Weiming Lu
2020 J jnl
Adversarial Self-Supervised Data-Free Distillation for Text Classification.
CoRR
Xinyin Ma, Yongliang Shen, Gongfan Fang, Chen Chen, Chenghao Jia, Weiming Lu
2020 J jnl
Impression Space from Deep Template Network.
CoRR
Gongfan Fang, Xinchao Wang, Haofei Zhang, Jie Song, Mingli Song
2019 J jnl
Data-Free Adversarial Distillation.
CoRR
Gongfan Fang, Jie Song, Chengchao Shen, Xinchao Wang, Da Chen, Mingli Song
2019 A* conf
Knowledge Amalgamation from Heterogeneous Networks by Common Feature Learning.
IJCAI
Sihui Luo, Xinchao Wang, Gongfan Fang, Yao Hu, Dapeng Tao, Mingli Song
2019 J jnl
Knowledge Amalgamation from Heterogeneous Networks by Common Feature Learning.
CoRR
Sihui Luo, Xinchao Wang, Gongfan Fang, Yao Hu, Dapeng Tao, Mingli Song