详情参见：[Google Scholar]， *通讯作者, #共同一作
代表性期刊论文:
[12]Shi Yuxuan#, Li Zhen#, Wang Li#, Wang Hong#, Liu Xiaofeng, Gu Dantong, et al. Artificial Intelligence Assisted Detection of Nasopharyngeal Carcinoma1on Endoscopic Images: A National Multi-Center Evidence Study; The Lancet Digital Health (IF=24.1); 2025.
[11]Sun Zihong, Wang Hong, Xie Qi, Zheng Yefeng, Meng Deyu; RSF-Conv: Rotation-and-Scale Equivariant Fourier Parameterized Convolution for Retinal Vessel Segmentation; IEEE Transactions on Neural Networks and Learning Systems; 2025.
[10]Pang Zhiqiang, Wang Hong, Xie Qi, Meng Deyu,Xu Zongben;TRG-Net: An Interpretable and Controllable Rain Generator; IEEE Transactions on Neural Networks and Learning Systems; 2025.
[9]Sun Lina, Wang Hong#, Xie Qi, Zheng Yefeng, Meng Deyu; Encoding sampling pattern for robust and generalized MRI reconstruction. Pattern Recognition; 2025.
[8]Wang Hong, Wu Yichen, Wang Yongbo, Wei Dong, Wu Xian, Ma Jianhua, Zheng Yefeng; Adaptive Weighting-based Metal Artifact Reduction in CT Images；IEEE Transactions on Medical Imaging; 2025.
[7]Wang Hong, Xie Qi, Zeng Dong, Ma Jianhua, Meng Deyu, Zheng Yefeng; OSCNet: Orientation-Shared Convolutional Network for CT Metal Artifact Learning；IEEE Transactions on Medical Imaging；2023.[Code]
[6]Wang Hong, Li Yuexiang, Zhang Haimiao, Meng Deyu, Zheng Yefeng; InDuDoNet+: A Deep Unfolding Dual Domain Network for Metal Artifact Reduction in CT Images; Medical Image Analysis; 85; 2023.[Code]
[5]Wang Hong, Xie Qi, Zhao Qian, Li Yuexiang, Liang Yong, Zheng Yefeng, Meng Deyu；RCDNet: An Interpretable Rain Convolutional Dictionary Network for Single Image Deraining; IEEE Transactions on Neural Networks and Learning Systems; 2023.[Code]
[4]Shi Yuxuan#, Wang Hong#* ,Ji Haoqin, Liu Haozhe, Li Yuexiang, He Nanjun, Wei Dong, Dai Qi, Wu Jianrong, Chen Xinrong*, Zheng Yefeng, Yu Hongmeng*; A Deep Weakly Semi-Supervised Framework for Endoscopic Lesion Segmentation; Medical Image Analysis; 2023.
[3]Yan Yunlu#, Wang Hong#, Huang Yawen, He Nanjun, Zhu Lei, Xu Yong, Li Yuexiang, Zheng Yefeng; Cross-Modal Vertical Federated Learning for MRI Reconstruction; IEEE Journal of Biomedical and Health Informatics (JBHI), 2024.
[2]Wang Hong, Wu Yichen, Li Minghan, Zhao Qian, Meng Deyu; Survey on rain removal from videos or a single image; Science China Information Sciences；65(1); 2022.
[1]Wang Hong, Li Yuexiang, He Nanjun, Meng Deyu, Zheng Yefeng; DICDNet: Deep Interpretable Convolutional Dictionary Network for Metal Artifact Reduction in CT Images; IEEE Transactions on Medical Imaging; 41(4); 2021.[Code]
代表性会议论文:
[14]Wu Hongtao, Wu Yifeng, Jiang Jia-Xuan, Wu Chengyu, Wang Hong*, Zheng Yefeng*. SAMVSR: Leveraging Semantic Priors to Zone-Focused Mamba for Video Snow Removal. The 33rd ACM International Conference on Multimedia (ACM MM) ; 2025.
[13]Wu Zhijian, Wang Hong*, Shi Yuxuan, Huang Dingjiang, Zheng Yefeng*. A Prior-Driven Lightweight Network for Endoscopic Exposure Correction. International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI); 2025.
[12] Long Yuxuan, Zhang Yulin, Wang Hong, Kuang Xiaodong, Huang Hailiang, Rao Fan, Liu Huafeng, Zheng Yefeng, Zhu Wentao Zhu; PD-INR: Prior-Driven Implicit Neural Representations for TOF-PET Reconstruction; International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI); 2025.(early accept)
[11] Zhang Duoer, Xiao Wenbo, Jiang Chen, Qiu Yuxuan, Feng Zhan, Wang Hong, Zheng Yefeng, Zhu Wentao Zhu; A Multimodal Contrastive Learning for Detecting Aortic Dissection on 3D Non-Contrast CT with Anatomy Simplification; International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI); 2025. (early accept, Oral)
[10]Wang Jingchao, Zhang Wenlong, Huang Dingjiang#, Wang Hong#, Zheng Yefeng; FSVG: A Simple and Better Baseline for Visual Grounding; International Conference on Multimedia & Expo (ICME); 2025.
[9]Wu Yichen#, Wang Hong#, Zhao Peilin, Zheng Yefeng, Wei Ying, Huang Long-Kai; Mitigating Catastrophic Forgetting in Online Continual Learning by Modeling Previous Task Interrelations; International Conference on Machine Learning (ICML); 2024.
[8]Wang Hong, Zhou Minghao, Wei Dong, Li Yuexiang, Zheng Yefeng; MEPNet: A Model-Driven Equivariant Proximal Network for Joint Sparse-View Reconstruction and Metal Artifact Reduction in CT Images; International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI); 2023.[Code]
[7]Zhou Minghao, Wang Hong*, Zhao Qian, Li Yuexiang, Huang Yawen, Meng Deyu, Zheng Yefeng; Interactive Segmentation as Gaussian Process Classification; IEEE International Conference on Computer Vision and Pattern Recognition (CVPR); 2023.(highlight, 10% of accepted papers, 2.5% of submissions)
[6]Wang Hong, Li Yuexiang, Meng Deyu, Zheng Yefeng; Adaptive Convolutional Dictionary Network for CT Metal Artifact Reduction; 31st International Joint Conference on Artificial Intelligence (IJCAI); 1401-1407; 2022.[Code]
[5]Wang Hong, Xie Qi, Li Yuexiang, Meng Deyu, Zheng Yefeng; Orientation-Shared Convolution Representation for CT Metal Artifact Learning; International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI); 665-675;2022.[Code]
[4]Fu Jiahong, Wang Hong, Xie Qi, Zongben Xu, Meng Deyu; KXNet: A Model-Driven Deep Neural Network for Blind Super-Resolution; European Conference on Computer Vision (ECCV); 2022.(Oral, 9.6% of accepted papers, 2.7% of submissions)[Code]
[3]Wang Hong, Li Yuexiang, Zhang Haimiao, Ma Kai, Meng Deyu, Zheng Yefeng. InDuDoNet: An Interpretable Dual Domain Network for CT Metal Artifact Reduction; International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI); 107-118; 2021.[Code]
[2]Wang Hong, Yue Zongsheng, Xie Qi, Zhao Qian, Zheng Yefeng, Meng Deyu; From Rain Generation to Rain Removal; IEEE International Conference on Computer Vision and Pattern Recognition (CVPR); 14791-14801; 2021.
[1]Wang Hong, Xie Qi, Zhao Qian, Meng Deyu; A Model-driven Deep Neural Network for Single Image Rain Removal; IEEE International Conference on Computer Vision and Pattern Recognition (CVPR); 3103-3112; 2020.
代表性已授权发明专利：
[1] Hong Wang, Yefeng Zheng. METHOD AND APPARATUS FOR TRAINING ARTIFACT REMOVAL MODEL，DEVICE， MEDIUM，AND PROGRAM PRODUCT, 2024-09-03, 美国, US 18/80803
[2] Ruifen Zhang, Luyan Liu, Hong Wang, Yawen Huang, Yefeng Zheng. IMAGE PROCESSING METHOD， ELECTRONIC DEVICE， AND STORAGE MEDIUM, 2024-08-29, 美国, US 18/808070
[3] Yawen Huang, Ziyun Cai, Dandan Zhang, Yuexiang Li, Hong Wang, Yefeng Zheng. METHOD AND APPARATUS FOR TRAINING IMAGE CLASSIFICATION MODEL, AND DEVICE, 2024-10-24, 美国， US 2024/0355110 A1
[4] 王红，李悦翔，魏东，郑冶枫. 医学图像的去伪影模型训练方法、装置、设备及存储介质, 2024-8-23, 中国, ZL202211475468.7
[5] 王红，郑冶枫.一种模型处理方法、装置、设备、介质及产品，2024-09-27，中国，ZL202410913546.X
[6] 王红, 李悦翔, 郑冶枫, 孟德宇. 用于伪影去除的图像处理方法及装置, 2024-11-08, 中国，ZL202210408968.2
[7] 王红, 施宇轩，李悦翔，郑冶枫，陈欣荣，余洪猛 .基于图像的对象分割方法、装置、设备和介质, 2024-06-18, 中国, ZL202211594296.5
[8] 孟德宇，王红，谢琦. 一种基于深度学习和模型驱动的单图去雨方法, 2022-12-09, 中国, CN202010260550.2
[9] 王红，李悦翔，马锴，郑冶枫，孟德宇. 图像处理方法、装置、计算机设备及存储介质, 2021-10-15, 中国, ZL202110643333.6
[10] 孟德宇，王红，谢琦，赵谦. 一种基于结构化残差学习的单图去雨方法，2020-07-28, 中国，CN 1114620143 A
