Zhiyun Song (宋志云)
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Zhiyun Song

Ph.D. Student

Department of Computing, Imperial College London

Supervisor: Wenjia Bai

E-Mail: zhiyunsung@gmail.com

Biography

I am currently a Ph.D. student in Department of Computing, Imperial College London under the supervision of A/Prof. Wenjia Bai. Before joining Imperial, I obtained Master’s degree at Shanghai Jiao Tong University and Bachelor’s degree at Beihang University. I worked as a research intern in Deepwise from December 2021 to June 2022, and in Alibaba DAMO Academy from November 2024 to Octorber 2025.

My research interests lies in generative models and their applications in medical image analysis, including self-supervised learning, modality synthesis and super-resolution in medical images. I am also working on the development of multi-modal analysis, segmentation, and pretraining algorithms for medical images.

First-Author Publications

  1. Z. Song, Z. Qi, X. Wang, X. Zhao, Z. Shen, S. Wang, M. Fei, Z. Wang, D. Zang, D. Chen, L. Yao, Q. Wang, X. Wu, L. Zhang, “Uni-COAL: A Unified Framework for Cross-modality Synthesis and Super-resolution of MR Images,” Expert Systems with Applications, 2025, 270: 126241. (Paper)(Code)
  2. M. Fei#, Z. Song#, Z. Shen, M. Liu, Q. Wang, L. Zhang, “Weakly Semi-supervised Cervical Lesion Cell Detection via Twin-Memory Augmented Multiple Instance Learning,” MICCAI, 2025. (Paper)
  3. Z. Song#, Y. Zhao#, X. Li#, M. Fei, X. Zhao, M. Liu, C. Chen, C. Yeh, Q. Wang, G. Zheng, S. Ai, L. Zhang, “REHRSeg: Unleashing the Power of Self-supervised Super-resolution for Resource-efficient 3D MRI Segmentation,” Neurocomputing, 2025, 624: 129425. (Paper)(Code)
  4. Z. Song, P. Du, J. Yan, K. Li, J. Shou, M. Lai, Y. Fan, and Y. Xu, “Nucleus-aware Self-supervised Pretraining Using Unpaired Image-to-image Translation for Histopathology Images,” IEEE Transactions on Medical Imaging, 2024, 43(1): 459-472. (Paper)(Code)
  5. Z. Song, X. Wang, X. Zhao, S. Wang, Z. Shen, Z. Zhuang, M. Liu, Q. Wang, L. Zhang, “Alias-Free Co-modulated Network for Cross-modality Synthesis and Super-resolution of MR Images,” MICCAI Early Accept, 2023. (Paper)(Code)
  6. X. Wang#, Z. Song#, Y. Zhu, S. Wang, L. Zhang, D. Shen, Q. Wang, “Inter-slice Super-resolution of Magnetic Resonance Images by Pre-training and Self-supervised Fine-tuning,” ISBI, 2024.
  7. Z. Song, X. Wang, H. Xiong, M. Liu, M. Fei, X. Zhao, Z. Shen, S. Wang, D. Chen, L. Yao, Q. Wang, L. Zhang, “Enhancing Generative Models for Modality Imputation of 3D MRIs via Consistency-aware Refinement and Super-resolution Guidance,” IEEE Transactions on Neural Networks and Learning Systems (in revision), 2024.