I will join the DHlab at the Department of Biomedical Engineering, National University of Singapore (NUS) as a Research Fellow, working under the supervision of Dr. Lei Li. I received my Ph.D. from the School of Software, Shandong University, where I was jointly supervised by Prof. Xuemei Li and Prof. Caiming Zhang, and conducted my doctoral research at the IC&IV Lab led by Prof. Zhang.
My research interests lie in computer vision and time-series analysis, with a particular focus on medical image analyse, training stability of deep models, multi-agent collaboration and data trend modeling.
🔥 News
- 2026.03: 🎉🎉 One paper is accepted by Science China Information Sciences!
- 2025.12: 🎉🎉 One paper is accepted by IEEE Transactions on Medical Imaging!
- 2025.06: 🎉🎉 One paper is accepted by Neural Networks!
- 2025.04: 🎉🎉 One paper is accepted by Medical Image Analysis!
- 2025.02: 🎉🎉 One paper is accepted by CVPR 2025!
📝 Publications
Towards Reliable Learning: Anchor and Control Methods for Semi-Supervised Medical Image Segmentation
Lexin Fang, Xiang Ma, Yunyang Xu, Xuemei Li*, Caiming Zhang.
Science China Information Sciences, 2026 (in Chinese). [Code]
Common Pattern Prior-Driven Semi-Supervised Medical Image Segmentation
Lexin Fang, Yunyang Xu, Anxin Zhang, Xin Li, Xuemei Li*, Caiming Zhang.
IEEE Transactions on Medical Imaging (TMI), 2026. [Code]
Minding Fuzzy Regions: A Data-driven Alternating Learning Paradigm for Stable Lesion Segmentation
Lexin Fang, Yunyang Xu, Xiang Ma, Xuemei Li*, Caiming Zhang.
In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2025. [Code]
Driven by Textual Knowledge: A Text-View Enhanced Knowledge Transfer Network for Lung Infection Region Segmentation
Lexin Fang, Xuemei Li*, Yunyang Xu, Fan Zhang, Caiming Zhang.
Medical Image Analysis (MedIA), 2025. [Code] [Dataset]
TD-HCN: A Trend-Driven Hypergraph Convolutional Network for Stock Return Prediction
Lexin Fang, Tianlong Zhao, Junlei Yu, Qiang Guo, Xuemei Li*, Caiming Zhang.
Neural Networks (NN), 2025. [Code]
🎖 Honors and Awards
- 2018.11: ACM-ICPC International Collegiate Programming Contest Asia Regional Contest, Silver Medal.
- 2018.12: President’s Scholarship, Shandong University of Finance and Economics.
- 2019.12: National Scholarship, Shandong University of Finance and Economics.
- 2025.09: Weichai Power Scholarship, Shandong University.
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✨ Academic Service
- IEEE Transactions on Medical Imaging (TMI), Reviewer.
- AAAI 2026–2027 (AAAI’26–27), Program Committee Member.
- IEEE Transactions on Neural Networks and Learning Systems (TNNLS), Reviewer.
- Applied Soft Computing, Reviewer.
🌐 Contact
- Email: lxfang9999@gmail.com fanglexin@mail.sdu.edu.cn
