I’m currently a graduate student at College of Biomedical Engineering, Sichuan University, advised by Prof. Jing Zhang. Prior to that, I got my bachelor’s degree in Medical Information Engineering in 2021. I’m now working on histopathology image guided clinical tasks. Previously, I worked with Prof. Jun Cheng about unsupervised deformable medical image registration. I was born and grown up in ChongQing, a city in the southwest China, famous as the city of mountain and frog.
My research interest includes Computational Pathology and Medical Image Analysis (Segmentation, Registration, Super Resolution)
I am deeply indebted to everyone who has supported me in my academic career.
🔥 News
- : One paper accepted to Signal Transduction and Targeted Therapy.
- : One paper accepted to Journal of Clinical Oncology.
- : Our work about pathology foundation model has been accepted by Nature!
- : One paper accepted to IEEE Transactions on Medical Imaging.
- : One paper accepted to Remote Sensing.
- : One paper accepted to Computers in Biology and Medicine.
- : One paper accepted to Biomedical Signal Processing and Control.
- : 🎉🎉 I passed the exam of my doctoral program.
📝 Publications
A Pathology Foundation Model for Cancer Diagnosis and Prognosis Prediction
X. Y. Wang†, J. H. Zhao†, E. Marostica, W. Yuan, J. T. Jin, J. Y. Zhang, R. J. Li, H. P. Tang, K. R. Wang, Y. Li, F. Wang, Y. L. Peng, J. Y. Zhu, Jing Zhang, C. R. Jackson, Jun Zhang, D. Dillon, N. U. Lin, L. Sholl, T. Denize, D. Meredith, K. L. Ligon, S. Signoretti, S. Ogino, J. A. Golden, M. P. Nasrallah, X. Han, S. Yang#, K. H. Yu#
HiCervix: An Extensive Hierarchical Dataset and Benchmark for Cervical Cytology Classification
D. Cai†, J. Chen†, J. H. Zhao†, Y. Xue, S. Yang, W. Yuan, M. Feng, H. Y. Weng, S. G. Liu, Y. L. Peng, J. Y. Zhu, K. R. Wang, C. Jackson, H. P. Tang#, J. Z. Huang, X. Y. Wang#
- This work introduces HiCervix, the most extensive, multi-center cervical cytology dataset currently available to the public. HiCervix includes 40,229 cervical cells from 4,496 whole slide images, categorized into 29 annotated classes. Along with our benchmark HierSwin method HierSwin, a hierarchical vision transformer-based classification network.
MACG-Net: Multi-axis Cross Gating Network for Deformable Medical Image Registration
W. Yuan, J. Cheng, Y. H. Gong, L. He#, J. Zhang
- In this work, we propose MACG-Net, for deformable image registration.
ESatSR: Enhancing Super-Resolution for Satellite Remote Sensing Images with State Space Model and Spatial Context
Y. X. Wang†, W. Yuan†, X. Fang, B. J. Lin#
- In this work, we propose ESatSR, a novel SR method based on state space models. Tailored for remote sensing images, the interaction of multi-scale spatial context and image features is leveraged to enhance the network’s capability in capturing features of small targets.
🎖 Honors and Awards
- 2025 Autoimmune Disease Machine Learning Challenge #1
3rd place
- 2023 DrivenData VisioMel Melanoma relapse prediction Challenge
5th place
📖 Educations
2024 - , Ph.D student in Biomedical Engineering, Sichuan University- 2021 - 2024, M.Sc. in Biomedical Engineering, Sichuan University
- 2017 - 2021, B.Eng. in Medical Information Engineering, Sichuan University
💬 Talks
- Nov., 2022, “Textile Solid Waste Recognition with Multiple Material Features”, contributed talk at CCISP 2022. (Chengdu, China)
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