Zhiyun Song (宋志云)
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Zhiyun Song

Graduate Student

School of Biomedical Engineering, Shanghai Jiao Tong University

Supervisor: Lichi Zhang

E-Mail: zhiyunsung@gmail.com

Biography

I am currently a Master student in School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China. I received my Bachelor’s degree from Beihang University, Beijing, China, in June 2021, and was awarded Outstanding Graduate of Beihang University. I worked as a research intern in Deepwise from December 2021 to June 2022, and currently work at Alibaba DAMO Academy. I joined Medical Image Computing Lab in Fall 2022, under the supervision of Dr. Lichi Zhang.
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, 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)
  2. 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)
  3. 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.
  4. 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)
  5. 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)
  6. 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 (submitted), 2024.