I am currently an Associate Professor at the School of Life Science and Technology, Xi'an Jiaotong University, working with Prof. Jianhua Ma and Prof. Deyu Meng. Previously, I was a senior researcher at YouTu Lab@Tencent, Shenzhen,
working with Prof. Yefeng Zheng (IEEE Fellow) from 2020 to 2025.
I received my Ph.D. degree from the School of Mathematics and Statistics, Xi'an Jiaotong University, China, in 2021,
under the supervision of Prof. Deyu Meng.
Before that, I received my M.Sc degree under the supervision of Prof. Zhaoyang Zhang from
School of Information and Electronical Engineer, Zhejiang University, in 2018, and the B.S. degree from the School of Communication and
Information Engineer, Nanjing University of Posts and Telecommunications, in 2015.
Research Interest
Currently, I work in the field of medical image processing and analysis, including CT/PET/MRI/Endoscopy reconstruction, medical image diagnosis, and multimodal analysis. Specifically, I mainly investigate how to combine
model-driven (domain knowledge-driven) method and data-driven deep learning techniques for effective and interpretable image processing. Recently, I focus on the following research topics:
Artificial Intelligence Assisted Detection of Nasopharyngeal Carcinoma on Endoscopic Images: A National Multi-Center Evidence Study
Yuxuan Shi^, Zhen Li^, Li Wang^, Hong Wang^, Xiaofeng Liu, Dantong Gu, Xiao Chen, Xueli Liu, et al.
The Lancet Digital Health, 2025.
A Simple and Better Baseline for Visual Grounding
Jingchao Wang, Wenlong Zhang, Dingjiang Huang*, Hong Wang*, Yefeng Zheng
IEEE International Conference on Multimedia & Expo (ICME), 2025.
Adaptive Weighting based Metal Artifact Reduction in CT images
Hong Wang^, Yichen Wu^, Yongbo Wang, Dong Wei, Xian Wu, Jianhan Ma, Yefeng Zheng
IEEE Transactions on Medical Imaging (TMI), 2025.
Mitigating Catastrophic Forgetting in Online Continual Learning by Modeling Previous Task Interrelations
Yichen Wu^, Hong Wang^, Peilin Zhao, Yefeng Zheng, Ying Wei, Long-Kai Huang
International Conference on Machine Learning (ICML), 2024.
[Paper]
Relational Experience Replay: Continual Learning by Adaptively Tuning Task-wise Relationship
Quanziang Wang, Renzhen Wang, Yuexiang Li, Dong Wei, Hong Wang, Kai Ma, Yefeng Zheng, Deyu Meng
IEEE Transactions on Multimedia (TMM), 2024.
[Paper]
Cross-Modal Vertical Federated Learning for MRI Reconstruction
Yunlu Yan^, Hong Wang^, Yawen Huang, Nanjun He, Lei Zhu, Yong Xu, Yuexiang Li, Yefeng Zheng
IEEE Journal of Biomedical and Health Informatics (JBHI), 2024.
[Paper]
OSCNet: Orientation-Shared Convolutional Network for CT Metal Artifact Learning
Hong Wang, Qi Xie, Dong Zeng, Jianhua Ma, Deyu Meng, Yefeng Zheng
IEEE Transactions on Medical Imaging (TMI), 2023.
[Paper]
[Code]
MEPNet: A Model-Driven Equivariant Proximal Network for Joint Sparse-View Reconstruction and Metal Artifact Reduction in CT Images
Hong Wang*, Minghao Zhou, Dong Wei, Yefeng Zheng
International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2023.
[Paper]
[Code]
Low-light Image Enhancement by Retinex-based Algorithm Unrolling and Adjustment
Xinyi Liu, Qi Xie, Qian Zhao, Hong Wang, Deyu Meng
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2023.
[Paper]
A Deep Weakly Semi-Supervised Framework for Endoscopic Lesion Segmentation
Yuxuan Shi^, Hong Wang^*, Haoqin Ji, Haozhe Liu, Nanjun He, Dong Wei, Qi Dai, Jianrong Wu, Xinrong Chen*, Yefeng Zheng, Hongmeng Yu*
Medical Image Analysis (MedIA), 2023.
Interactive Segmentation as Gaussian Process Classification
Minghao Zhou, Hong Wang*, Qian Zhao, Deyu Meng, Yefeng Zheng
IEEE International Conference on Computer Vision and Pattern Recognition (highlight)(CVPR), 2023.
[Paper]
[Code]
RCDNet: An Interpretable Rain Convolutional Dictionary Network for Single Image Deraining
Hong Wang, Qi Xie, Qian Zhao, Yong Liang, Yefeng Zheng, Deyu Meng
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2023.
[Paper]
[Code]
InDuDoNet+: A Deep Unfolding Dual Domain Network for Metal Artifact Reduction in CT Images
Hong Wang, Yuexiang Li, Haimiao Zhang, Deyu Meng, Yefeng Zheng
Medical Image Analysis(MedIA), 2023.
[Paper]
[Code]
KXNet: A Model-Driven Deep Neural Network for Blind Super-Resolution
Jiahong Fu, Hong Wang, Qi Xie, Qian Zhao, Deyu Meng, Zongben Xu
European Conference on Computer Vision (Oral)(ECCV), 2022.
[Paper]
[Code]
Orientation-Shared Convolution Representation for CT Metal Artifact Learning
Hong Wang, Qi Xie, Deyu Meng, Yefeng Zheng
International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2022.
[Paper]
[Code]
Adaptive Convolutional Dictionary Network for CT Metal Artifact Reduction
Hong Wang, Yuexiang Li, Deyu Meng, Yefeng Zheng
31st International Joint Conference on Artificial Intelligence (IJCAI), 2022.
[Paper]
[Code]
Survey on Rain Removal From Videos or A Single Image
Hong Wang, Yichen Wu, Minghan Li, Qian Zhao, Deyu Meng
SCIENCE CHINA Information Sciences(SCIS), 2022.
[Paper]
[Code]
DICDNet: Deep Interpretable Convolutional Dictionary Network for Metal Artifact Reduction in CT Images
Hong Wang, Yuexiang Li, Nanjun He, Kai Ma, Deyu Meng, Yefeng Zheng
IEEE Transactions on Medical Imaging (TMI), 2021.
[Paper]
[Code]
InDuDoNet: An Interpretable Dual Domain Network for CT Metal Artifact Reduction
Hong Wang, Yuexiang Li, Haimiao Zhang, Kai Ma, Deyu Meng, Yefeng Zheng
International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2021.
[Paper]
[Code]
From Rain Generation to Rain Removal
Hong Wang^, Zongsheng Yue^, Qi Xie, Qian Zhao, Yefeng Zheng, Deyu Meng
IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2021.
[Paper]
[Code]
A Model-driven Deep Neural Network for Single Image Rain Removal
Hong Wang^, Qi Xie^, Qian Zhao, Deyu Meng
IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2020.
[Paper]
[Code]