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ORCIDKun Wang 0021
Person information
- affiliation: Anhui Polytechnic University, College of Computer and Information, Wuhu, China
- affiliation: Chongqing University, School of Big Data and Software Engineering, China
Other persons with the same name
- Kun Wang — disambiguation page
- Kun Wang 0001 — Xidian University, School of Computer Science, Xi'an, China
- Kun Wang 0002
![[0000-0003-4128-1112]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0003-4128-1112")
— Acreo Swedish ICT AB, Department of NetLab, Kista, Sweden - Kun Wang 0003 — University of California at Davis, Department of Electrical and Computer Engineering, CA, USA
- Kun Wang 0004 — Illinois Institute of Technology, Department of Biomedical Engineering, Chicago, IL, USA
- Kun Wang 0005 — University of California at Los Angeles, CA, USA (and 5 more)
- Kun Wang 0006 — Tongji University, Shanghai, Department of Mechanical Engineering, China
- Kun Wang 0007 — National Computer Network Emergency Response Technical Team/Coordination Center of China, Beijing, China (and 1 more)
- Kun Wang 0008 — University of Science and Technology of China, Optical Wireless Communication and Network Center, Hefei, China
- Kun Wang 0009 — Ocean University of China, College of Engineering, Qingdao, China (and 1 more)
- Kun Wang 0010 — South China University of Technology, School of Electronics and Information Engineering, Guangzhou, China
- Kun Wang 0011 — Northwestern Polytechnical University, Department of Communications Engineering, State-and-Provincial Joint Laboratory of Internet-of-Things Technologies and Applications, Xi'an, China
- Kun Wang 0012 — Beijing University of Aeronautics and Astronautics, School of Instrumentation Science and Optoelectronics Engineering, Beijing, China (and 1 more)
- Kun Wang 0013 — Dalian University of Technology, School of Software, China
- Kun Wang 0014 — Zhejiang University, College of Electrical Engineering, Hangzhou, China
- Kun Wang 0015 — Arizona State University, Tempe, USA
- Kun Wang 0016 — Chinese Academy of Science, Institute of Plasma Physics, Hefei, China
- Kun Wang 0017 — Jilin University, College of Geo-Exploration Science and Technology, Changchun, China
- Kun Wang 0018 — Donghua University, Shanghai, China (and 1 more)
- Kun Wang 0019 — Chinese Academy of Sciences, Key Laboratory of Molecular Imaging and Functional Imaging, Institute of Automation, Beijing, China
- Kun Wang 0020 — Google, Pittsburgh, PA, USA (and 1 more)
- Kun Wang 0022 — University of Calgary, Department of Chemical and Petroleum Engineering, AB, Canada (and 1 more)
- Kun Wang 0023 — Zhejiang University, China
- Kun Wang 0024 — Shopee Pte. Ltd., Shanghai, China
- Kun Wang 0025 — Zhejiang University, College of Computer Science and Technology, Hangzhou, China
- Kun Wang 0026 — Shanghai Jiao Tong University, Shanghai, China
- Kun Wang 0027 — Xidian University, Xi'an, China
- Kun Wang 0028 — Southwest Jiaotong University, Chengdu, China
- Kun Wang 0029 — Alibaba Cloud Computing, Hangzhou, China
- Kun Wang 0030 — Chongqing University, College of Mathematics and Statistics, Chongqing, China
- Kun Wang 0031 — Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China
- Kun Wang 0032 — National Institute of Metrology, Beijing, China
- Kun Wang 0033 — Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China
- Kun Wang 0034 — Beihang University, Hangzhou, China
- Kun Wang 0035 — Shandong University of Science and Technology, Qingdao, China
- Kun Wang 0036 — City University of Hong Kong, Hong Kong, SAR, China
- Kun Wang 0037 — Lanzhou University of Technology, Lanzhou, China
- Kun Wang 0038 — Rutgers University, Computer Science Department, Piscataway, NJ, USA
- Kun Wang 0039 — Shandong University, Jinan, China
- Kun Wang 0040 — Zhejiang University, Hangzhou, China
- Kun Wang 0041 — Hefei University of Technology, Hefei, Anhui, China
- Kun Wang 0042 — National University of Singapore, Singapore (and 1 more)
- Kun Wang 0043 — Beihang University, Beijing, China
- Kun Wang 0044 — Baidu Research, Beijing, China
- Kun Wang 0045 — Fuzhou Polytechnic, Fuzhou, China
- Kun Wang 0046 — Sichuan University, Chengdu, China
- Kun Wang 0047 — Huazhong University of Science and Technology, Wuhan, China
- Kun Wang 0048 — Shanghai University, Shanghai, China
- Kun Wang 0049 — Rutgers Business School, Newark, NJ, USA
- Kun Wang 0050 — University of Technology Sydney, Sydney, NSW, Australia
- Kun Wang 0051 — City University of Hong Kong, Hong Kong, SAR, China
- Kun Wang 0052 — Beihang University, Hangzhou, China
- Kun Wang 0053 — Tianjin University, Tianjin, China
- Kun Wang 0054 — Beihang University, Beijing, China
- Kun Wang 0055 — Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China
- Kun Wang 0056 — Nanyang Technological University, Singapore (and 1 more)
- Kun Wang 0057 — Southeast University, School of Cyber Science and Engineering, Nanjing, China (and 1 more)
- Kun Wang 0058 — Los Alamos National Laboratory, Fluid Dynamics and Solid Mechanics Group, Los Alamos, CA, USA (and 1 more)
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2020 – today
- 2026
[j13]Kun Wang, Jin Liu, Zeliang An, Yuting Lu:
UDEL: Rethinking uncertainty dynamic estimation learning for ambiguous medical image segmentation. Digit. Signal Process. 169: 105723 (2026)- 2025
- [j12]Kun Wang, Yuting Lu, Jin Liu, Xiaohong Zhang:
GAML: Geometry-Aware Mutual Learning for polyp segmentation. Biomed. Signal Process. Control. 108: 107965 (2025) - [j11]Jin Liu, Fan Wu, Guorui Zhan, Kun Wang, Yikun Zhang, Dianlin Hu, Yang Chen:
DECT sparse reconstruction based on hybrid spectrum data generative diffusion model. Comput. Methods Programs Biomed. 261: 108597 (2025) - [j10]Jin Liu, Tong Jin, Zihao Ye, Fan Wu, Kun Wang, Zhan Wu, Yikun Zhang, Dianlin Hu, Yang Chen:
LWCDNet: An Interpretable Learning Weighted Convolutional Dictionary Network for Metal Artifact Reduction in CT Images. IEEE Trans. Instrum. Meas. 74: 1-15 (2025) - 2024
- [j9]Tingyu Zhang, Jin Liu, Fan Wu, Kun Wang, Subin Huang, Yikun Zhang:
Artifact suppression for sparse view CT via transformer-based generative adversarial network. Biomed. Signal Process. Control. 95: 106297 (2024) - [j8]Yanqin Kang, Jin Liu, Fan Wu, Kun Wang, Jun Qiang, Dianlin Hu, Yikun Zhang:
Deep convolutional dictionary learning network for sparse view CT reconstruction with a group sparse prior. Comput. Methods Programs Biomed. 244: 108010 (2024) - 2023
- [j7]Yuting Lu, Kun Wang, Wei Zhang, Jin Xie, Sheng Huang, Dan Yang, Xiaohong Zhang:
Learning contextual representations with copula function for medical image segmentation. Biomed. Signal Process. Control. 85: 104900 (2023) - [j6]Kun Wang, Xiaohong Zhang, Yuting Lu, Wei Zhang, Sheng Huang, Dan Yang:
GSAL: Geometric structure adversarial learning for robust medical image segmentation. Pattern Recognit. 140: 109596 (2023) - 2022
- [j5]Kun Wang, Xiaohong Zhang, Yuting Lu, Xiangbo Zhang, Wei Zhang:
CGRNet: Contour-guided graph reasoning network for ambiguous biomedical image segmentation. Biomed. Signal Process. Control. 75: 103621 (2022) - [j4]Kun Wang, Xiaohong Zhang, Xiangbo Zhang, Yuting Lu, Sheng Huang, Dan Yang:
EANet: Iterative edge attention network for medical image segmentation. Pattern Recognit. 127: 108636 (2022) - [c10]Wei Zhang, Xiaohong Zhang, Sheng Huang, Yuting Lu, Kun Wang:
PixelSeg: Pixel-by-Pixel Stochastic Semantic Segmentation for Ambiguous Medical Images. ACM Multimedia 2022: 4742-4750 - [c9]Wei Zhang, Xiaohong Zhang, Sheng Huang, Yuting Lu, Kun Wang:
A Probabilistic Model for Controlling Diversity and Accuracy of Ambiguous Medical Image Segmentation. ACM Multimedia 2022: 4751-4759 - 2021
- [j3]Kun Wang, Xiangbo Zhang, Xiaohong Zhang, Sheng Huang, Jingqin Li, Luwen Huangfu:
Multi-granularity scale-aware networks for hard pixels segmentation of pulmonary nodules. Biomed. Signal Process. Control. 69: 102890 (2021) - [c8]Jingqin Li, Kun Wang, Dan Yang, Xiaohong Zhang, Chen Liu:
Deepnodule: Multi-Task Learning of Segmentation Bootstrap for Pulmonary Nodule Detection. ICASSP 2021: 1215-1219 - [c7]Xiangbo Zhang, Kun Wang, Xiaohong Zhang, Sheng Huang:
Pulmonary Nodule Classification of CT Images with Attribute Self-guided Graph Convolutional V-Shape Networks. PRICAI (1) 2021: 280-292 - 2020
- [j2]Aodong Shen, Han Dong, Kun Wang, Youyong Kong, Jiasong Wu, Huazhong Shu:
Automatic Extraction of Blur Regions on a Single Image Based on Semantic Segmentation. IEEE Access 8: 44867-44878 (2020) - [j1]Kun Wang, Xiaohong Zhang, Sheng Huang, Feiyu Chen, Xiangbo Zhang, Luwen Huangfu:
Learning to Recognize Thoracic Disease in Chest X-Rays With Knowledge-Guided Deep Zoom Neural Networks. IEEE Access 8: 159790-159805 (2020) - [c6]Weixin Xu, Kun Wang, Jingkai Lin, Yuting Lu, Sheng Huang, Xiaohong Zhang:
Knowledge-Guided And Hyper-Attention Aware Joint Network For Benign-Malignant Lung Nodule Classification. ICIP 2020: 310-314 - [c5]Wei Chen, Qiuli Wang, Kun Wang, Dan Yang, Xiaohong Zhang, Chen Liu, Yucong Li:
MTGAN: Mask and Texture-driven Generative Adversarial Network for Lung Nodule Segmentation. ICPR 2020: 1029-1035 - [c4]Kun Wang, Xiaohong Zhang, Sheng Huang, Qiuli Wang, Feiyu Chen:
CTF-Net: Retinal Vessel Segmentation via Deep Coarse-To-Fine Supervision Network. ISBI 2020: 1237-1241 - [c3]Qiuli Wang, Xingpeng Zhang, Wei Chen, Kun Wang, Xiaohong Zhang:
Class-Aware Multi-window Adversarial Lung Nodule Synthesis Conditioned on Semantic Features. MICCAI (6) 2020: 589-598
2010 – 2019
- 2019
- [c2]Kun Wang, Xiaohong Zhang, Sheng Huang:
KGZNet: Knowledge-Guided Deep Zoom Neural Networks for Thoracic Disease Classification. BIBM 2019: 1396-1401 - [c1]Kun Wang, Xiaohong Zhang, Sheng Huang, Feiyu Chen:
Automatic Detection of Pneumonia in Chest X-Ray Images Using Cooperative Convolutional Neural Networks. PRCV (2) 2019: 328-340
Coauthor Index
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