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.
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]
|
Selected Honors
2020.09-2025.03 (Tencent Technology (Shenzhen) Co., Ltd.)[实习免试正式录用为校招技术大咖]:
- 2024Q4 No.1 of Tencent Micro-Innovation Award | 腾讯微创新奖第一名
- Selected in the 2023 "9th China Association for Science and Technology Young Talent Promotion Project" (TOP 5) | 第九届中国科协青年人才托举项目(集团仅5人)
- 2023 Outstanding Mentor Award of Tencent Rhino Bird Elite Talent | 腾讯犀牛鸟全国精英人才培养计划杰出导师奖
- 2023 Tencent Party Committee "Excellent Communist Party Member" (<5%) | 腾讯集团优秀共产党员
- 2023H1 Outstanding Contributor (TOP 1 in Group) | 腾讯5星杰出员工
- 2023Q2 Winner of Technological Innovation Award of Jarvis Lab, Tencent | 天衍实验室技术创新奖
- 2023Q1 No.2 of Tencent Micro-Innovation Award (2/19) | 腾讯微创新奖第二名
- 2022 Tencent Patent Gold Award (TOP 2) | 腾讯年度专利金奖(集团2/5000+)
- 2022Q3 No.6 of Tencent Micro-Innovation Award (6/21) | 腾讯微创新奖第六名
- 2021 No.2 for Tencent Rhino Bird Elite Talent(<0.1%), Best Style Award(<0.1%) | 腾讯犀牛鸟全国精英人才培养计划第二名及个人风采奖
- 2020 Tencent Rhino Bird Elite Talent Program | 被选拔进入腾讯犀牛鸟全国精英人才培养计划
2018.09-2021.12 (Xi'an Jiaotong University)[第一名跨专业考入]:
- 2024 Excellent Doctoral Thesis of Xi'an Jiaotong University | 西安交通大学优秀博士论文
- Outstanding Graduate Student of Shaanxi Province | 陕西省优秀毕业研究生
- National Scholarship for Graduate Students (<2%) (highest national wide scholarship for students in China) | 博士研究生国奖
- Academic star best Popularity Award(Top 1 in Xi'an Jiaotong University) | 学术之星最佳风采奖
- Academic star nomination award (Top 13 in Xi'an Jiaotong University) | 学术之星提名奖
- Huawei Scholarship (<1%) | 华为奖学金
- Outstanding graduate student of Xi’an Jiaotong University(2 times) | 校优秀毕业研究生
- 1st prize for Scholarship of Xi’an Jiaotong University | 校一等奖学金
2015.09-2018.03 (Zhejiang University)[第一名保送]:
- Outstanding graduate student of Zhejiang University | 校优秀毕业研究生
- National Scholarship for Graduate Students (<2%) (highest national wide scholarship for students in China) | 硕士研究生国奖
- Outstanding Graduate Student Cadre of Zhejiang University | 校优秀研究生干部
- Merit Graduate Student of Zhejiang University(2 times) | 校优秀研究生(2次)
- Samsung Scholarship (<3%) | 三星奖学金
- 1st prize for National Graduate Electronical Design Competition (<1%) | 全国研究生电子设计竞赛一等奖
2011.09-2015.06 (Nanjing University of Posts and Telecommunications)[河南省Top 1%考入通信工程专业]:
- Outstanding undergraduate student of NUPT | 校优秀毕业生
- National Scholarship for Undergraduate Students (<1%, 3 times) (highest national wide scholarship for students in China) | 本科国奖(三次)
- China Telecom Scholarship (<1%) | 中国电信飞Young奖学金
- Hengtong First Prize Scholarship (<1%) | 亨通一等奖学金
- 1st prize (Meritorious Winner) of International Mathematical Contest in Modeling (MCM) (<1%) | 数模美赛一等奖(队长)
- Provincial Merit Student Award (<1%) | 江苏省三好学生
- Pacemaker to Creative Student of NUPT(Top10 in NUPT) | 校创新标兵(全校仅10人)
- 1st prize for Advanced Mathematics Competition in Jiangsu Province (<5%) | 江苏省高数竞赛一等奖
- 1st prize for scholarship of NUPT (<5%, 3 times) | 校一等奖学金(三次)
- Pacemaker to Merit Student of NUPT (<5%, 3 times) | 校三好学生(三次)
Talks
Services
Journal Reviewer:
- IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)
- IEEE Transactions on Medical Imaging (TMI)
- IEEE Transactions on Image Processing (TIP)
- IEEE Transactions on Neural Networks and Learning Systems (TNNLS)
- IEEE Transactions on Communications (TCOM)
- IEEE Transactions on Circuits and Systems for Video Technology (TCSVT)
- IEEE Transactions on Information Forensics & Security (T-IFS)
- IEEE Transactions on Computational Imaging (TCI)
- SCIENCE CHINA Information Sciences (SCIS)
- Knowledge Based Systems (KBS)
- Scientific Reports
- Neurocomputing
- Magnetic Resonance Imaging
- IEEE Signal Processing Letters
- Signal, Image and Video Processing
Conference Reviewer:
- IEEE International Conference on Computer Vision and Pattern Recognition (CVPR)
- IEEE International Conference on Computer Vision (ICCV)
- European Conference on Computer Vision (ECCV)
- Association for the Advancement of Artificial Intelligence (AAAI)
- International Joint Conference on Artificial Intelligence (IJCAI) (Outstanding SPC for IJCAI2019)
- International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI)
- 2024 NeurIPS workshop on AIM-FM
- 2024 NeurIPS workshop on Compositional Learning