Professor

Medical AI ReSearch (MARS) Group
School of Life Sciences and Medical Engineering   生命科学与医学工程学院
Guangxi Medical University   广西医科大学

Associate Director

University Engineering Research Center of Digital Medicine and Healthcare
数字医学与健康广西高校工程研究中心

Email: leeyuexiang@163.com

Biography

Yuexiang LI will join the School of Data Science at City University of Macau as an Associate Professor since the first semester of the 2025/2026 academic year, who currently works in Life Sciences Institute, Guangxi Medical University (GXMU) as a Full Professor and will maintain the position (Hon. Prof.) after joining CityU of Macau. Prof. Li is the academic leader of the discipline of artificial intelligence, the associate director of University Engineering Research Center of Digital Medicine and Healthcare, and leads the Medical AI ReSearch (MARS) group in GXMU. He is also the distinguished visiting scholar at University of Macau. Prof. Li graduated from the University of Nottingham, United Kingdom with a Ph.D., and has been engaged in research on intelligent analysis and processing of medical images (including microscopic images, pathological slices and multimodal medical images) for more than ten years. Before joining GXMU, he worked in Tencent Jarvis Lab as a senior researcher and got excellent connections to industry. Prof. Li has published multiple academic papers in top-tier medical image processing journals (e.g., TMI, MIA) and conferences (e.g., AAAI, ECCV, MICCAI). He is also the reviewer for TPAMI, TMI, MICCAI and the program chair for world-wide conferences.

Openings

I am always looking for talented and self-motivated students to join my research group to work in the fields of medical image analysis/computer vision/pattern recognition.

Multiple positions of joint Ph.D program with the University of Nottingham, Ningbo and University of Macau are available. Please feel free to contact via email.

Multiple positions of postdoctoral fellow and research assistant are now available (should be in the fields related to bio-medical engineering/computer science/electronic engineering).

招聘多名博士后和研究助理，待遇从优，优秀者可获事业编制！（有意者可电邮垂询）

News

Education & Experience

Selected Journal Paper [For full list, please refer to Google Scholar / ResearchGate]

  1. Multi-constraint transferable generative adversarial networks for cross-modal brain image synthesis
    Yawen Huang#, Hao Zheng, Yuexiang Li*, Feng Zheng, Xiantong Zhen, GuoJun Qi, Ling Shao, Yefeng Zheng* International Journal of Computer Vision, 2024. (IF: 19.500)

  2. 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 (IEEE JBHI), 2024. (IF: 7.700)

  3. Triplet-branch network with contrastive prior-knowledge embedding for disease grading
    Yuexiang Li#*, Yanping Wang, Guang Lin, Yawen Huang, Jingxin Liu, Yi Lin, Dong Wei, Qirui Zhang, Kai Ma et al. Artificial Intelligence In Medicine, 2024. (IF: 7.500)

  4. Anomaly detection via gating highway connection for retinal fundus images
    Wentian Zhang#, Haozhe Liu#, Jinheng Xie, Yawen Huang, Yu Zhang, Yuexiang Li*, Raghavendra Ramachandra, Yefeng Zheng Pattern Recognition, 2023. (IF: 8.000)

  5. Unsupervised domain adaptation for medical image segmentation by disentanglement learning and self-training
    Qingsong Xie#, Yuexiang Li#, Nanjun He*, Munan Ning, Kai Ma, Guoxing Wang et al., IEEE Transactions on Medical Imaging (IEEE TMI), 2022. (IF: 11.037)

  6. Beyond mutual information: Generative adversarial network for domain adaptation using information bottleneck constraint
    Jiawei Chen#, Ziqi Zhang#, Xinpeng Xie#, Yuexiang Li*, Tao Xu, Kai Ma, and Yefeng Zheng, IEEE Transactions on Medical Imaging (IEEE TMI), 2021. (IF: 11.037)

  7. DICDNet: Deep interpretable convolutional dictionary network for metal artifact reduction in CT images
    Hong Wang#, Yuexiang Li*, Nanjun He, Kai Ma, Deyu Meng*, and Yefeng Zheng, IEEE Transactions on Medical Imaging (IEEE TMI), 2021. (IF: 11.037)

  8. Anomaly detection for medical images using self-supervised and translation-consistent features
    He Zhao#, Yuexiang Li*, Nanjun He, Kai Ma, Leyuan Fang, Huiqi Li* et al., IEEE Transactions on Medical Imaging (IEEE TMI), 2021. (IF: 11.037)

Selected Conference Paper [For full list, please refer to Google Scholar / ResearchGate]

  1. Hallucinated style distillation for single domain generalization in medical image segmentation
    Jingjun Yi#, Qi Bi, Hao Zheng*, Haolan Zhan, Wei Ji, Yawen Huang, Shaoxin Li, Yuexiang Li*, Yefeng Zheng, Feiyue Huang, International Conference on Medical Image Computing and Computer Assisted Interventions (MICCAI), 2024. (CCF-B)

  2. Learning generalized medical image segmentation from decoupled feature queries
    Qi Bi#, Jingjun Yi#, Hao Zheng*, Wei Ji, Yawen Huang, Yuexiang Li*, Yefeng Zheng, AAAI Conference on Artificial Intelligence (AAAI), 2024. (CCF-A)

  3. BoxDiff: Text-to-image synthesis with training-free box-constrained diffusion
    Jinheng Xie#, Yuexiang Li*, Yawen Huang, Haozhe Liu, Wentian Zhang, Yefeng Zheng, Mike Zheng Shou*, International Conference on Computer Vision (ICCV), 2023. (CCF-A)

  4. Dynamically masked discriminator for GANs
    Wentian Zhang#, Haozhe Liu#, Bing Li*, Jinheng Xie, Yawen Huang, Yuexiang Li*, Yefeng Zheng, Bernard Ghanem, Neural Information Processing Systems (NeurIPS), 2023. (CCF-A)

  5. AdaptiveMix: Improving GAN training via feature space shrinkage
    Haozhe Liu#, Wentian Zhang#, Bing Li*, Haoqian Wu, Nanjun He, Yawen Huang, Yuexiang Li*, Bernard Ghanem, Yefeng Zheng, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023. (CCF-A)

  6. Combating mode collapse in GANs via manifold entropy estimation
    Haozhe Liu#, Bing Li*, Haoqian Wu, Hanbang Liang, Yawen Huang, Yuexiang Li*, Bernard Ghanem, Yefeng Zheng, AAAI Conference on Artificial Intelligence (AAAI), 2023. (CCF-A)

  7. Adaptive convolutional dictionary network for CT metal artifact reduction
    Hong Wang#, Yuexiang Li*, Deyu Meng*, and Yefeng Zheng, International Joint Conference on Artificial Intelligence (IJCAI), 2022. (CCF-A)

  8. A multi-task network with weight decay skip connection training for anomaly detection in retinal fundus images
    Wentian Zhang#, Xu Sun#*, Yuexiang Li#, Haozhe Liu, Nanjun He, Feng Liu* et al., International Conference on Medical Image Computing and Computer Assisted Interventions (MICCAI), 2022. (CCF-B)

Recent Interns @ Tencent

Teaching

Grants

  1. Principle Investigator, Guangxi Government, 600,000, 2025-2027
  2. Principle Investigator, Natural Science Foundation of Guangxi, 100,000, 2025-2027
  3. Principle Investigator, Nanning City Science and Technology Bureau, 500,000, 2024-2027
  4. Principle Investigator, Natural Science Foundation of China, 240,000, 2018-2021
  5. Principle Investigator, Postdoctoral Science Foundation of China, 50,000, 2017-2018
  6. Principle Investigator, Nanning City Science and Technology Bureau, 200,000, 2017-2018

Award

  1. First Prize, Cerebral Aneurysm Detection Challenge @ MICCAI, 2020
  2. First Prize, Angle Closure Glaucoma Evaluation Challenge @ MICCAI, 2019
  3. First Prize, HEp-2 Indirect Immuno-Fluorescence Contest @ ICPR, 2016

Professional Services

Collaborators

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