Zhiwei Wang

Associate Professor at HUST

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Room D212, New Photoelectric Information Building

Huazhong University of Science and Technology

Wuhan, CHINA

I am an Associate Professor in the Wuhan National Laboratory for Optoelectronics (WNLO) at Huazhong University of Science and Technology (HUST) working with Prof. Qiang Li. My research interest includes machine learning, computer vision and medical image analysis.

Before joining WNLO in February 2021, I was working as a Postdoctoral Fellow from 08/2019 to 08/2020 in the Department of Electronic and Computer Engineering (ECE) at Hong Kong University of Science and Technology (HKUST) cooperating with Prof. Tim Cheng, Dean of Engineering. I was pursuing a Ph.D. degree from 2015 to 2019 in the School of Electronic Information and Communications at Huazhong University of Science and Technology (HUST) under the supervision of Associate Prof. Xin Yang. I also finished a one-year Master in 2015 at HUST. Before that I received my Bachelor’s degree from the School of Physics and Electronics of Central South University (CSU).

I am now recuriting students who are self-promotive, proactive and, improtantly, passional in the field of medical image analysis.

news

Dec 21, 2024 Three corresponding authored ICASSP papers are accepted. Congratulations to Wenqi Shan, Qiang Hu, and Kaixiang Yang!
Dec 10, 2024 One corresponding authored AAAI paper has been accepted. Congratulations to Qiang Hu!
Oct 23, 2024 One corresponding authored JBHI paper has been accepted. Congratulations to Fang Peng, Hongkuan Shi, and Shiquan He!
Oct 14, 2024 One corresponding authored BIBM paper has been accepted. Congratulations to Ying Zhou!
Aug 15, 2024 One corresponding authored BIBM paper has been accepted. Congratulations to Kaixiang Yang!

selected publications

  1. MedIA
    Co-trained convolutional neural networks for automated detection of prostate cancer in multi-parametric MRI
    Xin Yang, Chaoyue Liu, Zhiwei Wang*, Jun Yang, Hung Le Min, Liang Wang, and Kwang-Ting Cheng
    Medical image analysis, 2017
  2. TMI
    Automated detection of clinically significant prostate cancer in mp-MRI images based on an end-to-end deep neural network
    Zhiwei Wang, Chaoyue Liu, Danpeng Cheng, Liang Wang, Xin Yang*, and Kwang-Ting Cheng
    IEEE transactions on medical imaging, 2018
  3. MedIA
    Semi-supervised mp-MRI data synthesis with StitchLayer and auxiliary distance maximization
    Zhiwei Wang, Yi Lin, Kwang-Ting Tim Cheng, and Xin Yang*
    Medical image analysis, 2020
  4. TMI
    Multi-task siamese network for retinal artery/vein separation via deep convolution along vessel
    Zhiwei Wang, Xixi Jiang, Jingen Liu, Kwang-Ting Cheng, and Xin Yang*
    IEEE Transactions on Medical Imaging, 2020
  5. TMI
    Joint progressive and coarse-to-fine registration of brain MRI via deformation field integration and non-rigid feature fusion
    Jinxin Lv#, Zhiwei Wang#, Hongkuan Shi, Haobo Zhang, Sheng Wang, Yilang Wang, and Qiang Li*
    IEEE Transactions on Medical Imaging, 2022
  6. ACM MM Oral
    Semi-supervised Learning via Improved Teacher-Student Network for Robust 3D Reconstruction of Stereo Endoscopic Image
    Hongkuan Shi#, Zhiwei Wang#, Jinxin Lv, Yilang Wang, Peng Zhang, Fei Zhu, and Qiang Li*
    In Proceedings of the 29th ACM International Conference on Multimedia, 2021
  7. TMI
    Bidirectional Semi-supervised Dual-branch CNN for Robust 3D Reconstruction of Stereo Endoscopic Images via Adaptive Cross and Parallel Supervisions
    Hongkuan Shi#, Zhiwei Wang#, Ying Zhou, Dun Li, Xin Yang, and Qiang Li*
    IEEE Transactions on Medical Imaging, 2023
  8. AAAI Oral
    Robust One-Shot Segmentation of Brain Tissues via Image-Aligned Style Transformation
    Jinxin Lv#, Xiaoyu Zeng#, Sheng Wang, Ran Duan, Zhiwei Wang*, and Qiang Li*
    In Proceedings of the AAAI Conference on Artificial Intelligence, 2023
  9. IJCAI Oral
    Dual-view Correlation Hybrid Attention Network for Robust Holistic Mammogram Classification
    Zhiwei Wang, Junlin Xian, Kangyi Liu, Xin Li, Qiang Li, and Xin Yang
    In Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, IJCAI-23, Aug 2023
    Main Track
    DOI
  10. TMI
    Robust Semi-supervised 3D Medical Image Segmentation with Diverse Joint-task Learning and Decoupled Inter-student Learning
    Quan Zhou, Bin Yu, Feng Xiao, Mingyue Ding, Zhiwei Wang*, and Xuming Zhang*
    IEEE Transactions on Medical Imaging, Aug 2024
  11. MICCAI Oral
    SALI: Short-term Alignment and Long-term Interaction Network for Colonoscopy Video Polyp Segmentation
    Qiang Hu, Zhenyu Yi, Ying Zhou, Fang Peng, Mei Liu, Qiang Li*, and Zhiwei Wang*
    In International conference on medical image computing and computer-assisted intervention, Aug 2024
  12. MICCAI Poster
    Noise Removed Inconsistency Activation Map for Unsupervised Registration of Brain Tumor MRI between Pre-operative and Follow-up Phases
    Chongwei Wu, Xiaoyu Zeng, Hao Wang, Xu Zhang, Wei Fang, Qiang Li*, and Zhiwei Wang*
    In International conference on medical image computing and computer-assisted intervention, Aug 2024
  13. AAAI
    MonoBox: Tightness-free Box-supervised Polyp Segmentation using Monotonicity Constraint
    Qiang Hu, Zhenyu Yi, Ying Zhou, Fan Huang, Mei Liu, Qiang Li, and Zhiwei Wang*
    In Proceedings of the AAAI Conference on Artificial Intelligence, Aug 2025
  14. MedIA
    MonoPCC: Photometric-invariant Cycle Constraint for Monocular Depth Estimation of Endoscopic Images
    Zhiwei Wang#, Ying Zhou#, Shiquan He, Ting Li, Fan Huang, Qiang Ding, Xinxia Feng, Mei Liu, and Qiang Li*
    Medical image analysis, Aug 2025