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

Oct 13, 2023 Two corresponding authored BIBM papers have been accepted. Congratulations to Lianying Chao and Wenqi Shan!
Jun 26, 2023 The team led by me wins the National first price in 中国机器人及人工智能大赛.
Jun 21, 2023 The team led by me wins the National third price in 全国大学生生命科学竞赛.
Jun 7, 2023 The team led by me wins the Provincial second price in 中国机器人及人工智能大赛.
May 23, 2023 One co-first authored TMI paper regarding stereo depth estimation has been accepted. Congratulations to Hongkuan Shi!
May 9, 2023 I am awarded 武汉英才（优青） for the year 2022.
Apr 20, 2023 One first authored IJCAI paper regarding breast cancer diagnosis has been accepted. Congratulations!
Dec 4, 2022 One corresponding authored JBHI paper regarding Cobb angle estimation has been accepted. Congratulations to Yuanhuai Liang and Jinxin Lv!
Nov 19, 2022 One corresponding authored AAAI paper regarding one-shot brain MRI segmentation has been accepted. Congratulations to Jinxin Lv and Xiaoyu Zeng! Special thanks to the graduated student Sheng Wang.
Sep 17, 2022 One corresponding authored ACCV paper regarding the sparse-view CBCT reconstruction has been accepted. Congratulations to Yanli Wang and Lianying Chao!
Aug 28, 2022 I am awarded IEEE TMI Bronze Distinguished Reviewer for the years 2020-2022.
Jun 23, 2022 The team led by me wins the National second price in 全国大学生生命科学竞赛.
Apr 20, 2022 One co-first authored TMI paper has been accepted. Congratulations to Jinxin Lv!
Mar 1, 2022 One cooresponding authored MICCAI Challenge paper has been accepted. Congratulations to Sheng Wang and Jinxin Lv!
Dec 25, 2021 One co-first authored Fundamental Research paper about Vertebral Landmark Localization has been accepted.
Jul 4, 2021 The co-frist authored ACM MM paper has been accepted. Congratulations to Hongkuan Shi!
Jun 12, 2021 The co-first authored MICCAI paper has been accepted. Congratulations to Junlin Xian and Prof. Yang!
Aug 25, 2020 My previous email address (eezhiweiwang@ust.hk) has been suspended! Please contact me via the new one.
Jun 25, 2020 One co-authored MICCAI paper has been accepted. Congratulations to Xixi Jiang and Prof. Yang’s team!
Mar 9, 2020 One first authored TMI paper has been accepted. Congratulations!
Oct 21, 2019 My previous email address (zhiweiwang@hust.edu.cn) has been suspended! Please contact me via the new one.

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
  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