Ying Fu

19 papers A 1B 1Journal 14Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
ASTNet: Adaptive Spatio-Temporal Transformer for Efficient Video Deblurring.
IEEE Trans. Consumer Electron.
Ying Fu, Chen Zhou, Jianan Tian, Wei Liu, Tao Wu
2026 J jnl
Brain-Adapter: Fine-grained visual reconstruction from EEG via lightweight semantic alignment.
Biomed. Signal Process. Control.
Dongrui Gao, Taorui Li, Shihong Liu, Zongyao Peng, Pengrui Li, Xinmin Ding, Manqing Wang, Hongli Chang, Ying Fu
2026 J jnl
Exploring the Potential of Class-Specific Encoding for Few-Shot Object Detection.
IEEE Trans. Emerg. Top. Comput. Intell.
Wei Zhou, Zongling Li, Shu Hu, Shanmin Yang, Tao Wu, Siwei Lyu, Ying Fu, Xi Wu, Xin Wang
2025 J jnl
An Explanation Method Based on Interpretable Linear Model With Four Key Characteristics.
IEEE Trans. Image Process.
Yuecan Yuan, Zhan ao Huang, Peng Li, Ying Fu, Xuemin Zhao, Canghong Shi, Xiaojie Li, Xi Wu
2025 J jnl
CrossDF: improving cross-domain deepfake detection with deep information decomposition.
Frontiers Big Data
Shanmin Yang, Hui Guo, Shu Hu, Bin B. Zhu, Ying Fu, Siwei Lyu, Xi Wu, Xin Wang
2025 J jnl
VB-KGN: Variational Bayesian Kernel Generation Networks for Motion Image Deblurring.
IEEE Trans. Multim.
Ying Fu, Xinyu Zhu, Xiaojie Li, Xin Wang, Xi Wu, Shu Hu, Yi Wu, Siwei Lyu, Wei Liu
2024 — conf
LMHaze: Intensity-aware Image Dehazing with a Large-scale Multi-intensity Real Haze Dataset.
MMAsia
Ruikun Zhang, Hao Yang, Yan Yang, Ying Fu, Liyuan Pan
2024 J jnl
LMHaze: Intensity-aware Image Dehazing with a Large-scale Multi-intensity Real Haze Dataset.
CoRR
Ruikun Zhang, Hao Yang, Yan Yang, Ying Fu, Liyuan Pan
2024 B conf
Masked Conditional Diffusion Model for Enhancing Deepfake Detection.
IJCNN
Tiewen Chen, Shanmin Yang, Shu Hu, Zhenghan Fang, Ying Fu, Xi Wu, Xin Wang
2024 J jnl
Masked Conditional Diffusion Model for Enhancing Deepfake Detection.
CoRR
Tiewen Chen, Shanmin Yang, Shu Hu, Zhenghan Fang, Ying Fu, Xi Wu, Xin Wang
2023 J jnl
Improving Cross-dataset Deepfake Detection with Deep Information Decomposition.
CoRR
Shanmin Yang, Shu Hu, Bin Zhu, Ying Fu, Siwei Lyu, Xi Wu, Xin Wang
2022 A conf
Contrastive Class-Specific Encoding for Few-Shot Object Detection.
ICME
Dizhong Lin, Ying Fu, Xin Wang, Shu Hu, Bin Zhu, Qi Song, Xi Wu, Siwei Lyu
2022 J jnl
Make U-Net Greater: An Easy-to-Embed Approach to Improve Segmentation Performance Using Hypergraph.
Comput. Syst. Sci. Eng.
Jing Peng, Jingfu Yang, Chaoyang Xia, Xiaojie Li, Yanfen Guo, Ying Fu, Xinlai Chen, Zhe Cui
2021 J jnl
A Survey on Deep Learning for Super-Resolution of Diffusion Magnetic Resonance Imaging.
J. Medical Imaging Health Informatics
Suyang Luo, Jinrong Hu, Zhipeng Yang, Dequan Guo, Hong Wei, Ying Fu
2019 J jnl
MRI Denoising Using Low Rank Prior and Sparse Gradient Prior.
IEEE Access
Yuhan Zhang, Zhipeng Yang, Jinrong Hu, Shurong Zou, Ying Fu
2019 — conf
Sparse Representation-Based Radiomics in the Diagnosis of Thyroid Nodules.
ICAIS (1)
Yunhua Cao, Ying Fu, Guang Yang
2019 J jnl
Towards Accurate and Robust Multi-Modal Medical Image Registration Using Contrastive Metric Learning.
IEEE Access
Jinrong Hu, Shanhui Sun, Xiaodong Yang, Shuang Zhou, Xin Wang, Ying Fu, Jiliu Zhou, Youbing Yin, Kunlin Cao, Qi Song, Xi Wu
2016 — conf
Patch-Based Hippocampus Segmentation Using a Local Subspace Learning Method.
MLMI@MICCAI
Yan Wang, Xi Wu, Guangkai Ma, Zongqing Ma, Ying Fu, Jiliu Zhou
2015 J jnl
Image Motion Restoration Using Fractional-Order Gradient Prior.
Informatica
Ying Fu, Xi Wu, Xiaohua Li, Kun He, Yi Zhang, Jiliu Zhou