I am a Master’s student at the School of Mechanical, Electrical and Information Engineering, Shandong University. My research interests lie in Federated Graph Learning, Generalized Category Discovery, and Medical Image Analysis. I have published several papers at international journals and conferences (see my Google Scholar).

🔥 News

  • 2026.06:  🎉🎉 Our paper “GCD-FGL” is accepted by Expert Systems With Applications.
  • 2026.06:  🎉🎉 Our paper “FedSA-GCL” is published by Knowledge-Based Systems.
  • 2024.11:  🎉🎉 Our paper “CC-TransXNet” is published in Medical & Biological Engineering & Computing.

📝 Publications

ESWA 2026
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Generalized Category Discovery in Federated Graph Learning

Zhongzheng Yuan, Lianshuai Guo, Xunkai Li, Wenyu Wang*, Meixia Qu*

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  • Pioneer Generalized Category Discovery in Federated Graph Learning
KBS 2026
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FedSA-GCL: A Semi-Asynchronous Federated Graph Learning Framework with Personalized Aggregation and Cluster-Aware Broadcasting

Zhongzheng Yuan, Lianshuai Guo, Xunkai Li, Yinlin Zhu, Wenyu Wang*, Meixia Qu*

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  • Pioneer semi-asynchronous federated graph learning for non-IID
MBEC 2024
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CC-TransXNet: A Hybrid CNN-Transformer Network for Automatic Segmentation of Optic Cup and Optic Disk from Fundus Images

Zhongzheng Yuan, Jiaxu Wang, Yonghui Xu, Meng Xu

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  • A hybrid CNN-Transformer architecture for joint optic cup and optic disk segmentation.

🎖 Honors and Awards

  • 2024.6 Outstanding Student of Heilongjiang Province.
  • 2024.6 Outstanding Graduate of Heilongjiang Province.
  • 2022.4 National Inspirational Scholarship.

📖 Educations

  • 2024.09 - now, M.S. in Computer Technology, Shandong University.
  • 2020.09 - 2024.06, B.E. in Software Engineering, Harbin University of Science and Technology.

💻 Internships