Zekun Li

Orcid: 0000-0003-2119-0651

Affiliations:
  • Nanjing University, Nanjing, China


According to our database1, Zekun Li authored at least 6 papers between 2021 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2025
Balancing Multi-Target Semi-Supervised Medical Image Segmentation With Collaborative Generalist and Specialists.
IEEE Trans. Medical Imaging, July, 2025

Taste More, Taste Better: Diverse Data and Strong Model Boost Semi-Supervised Crowd Counting.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

Steady Progress Beats Stagnation: Mutual Aid of Foundation and Conventional Models in Mixed Domain Semi-Supervised Medical Image Segmentation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024
Open-Domain Semi-Supervised Learning via Glocal Cluster Structure Exploitation.
IEEE Trans. Knowl. Data Eng., 2024

2023
IOMatch: Simplifying Open-Set Semi-Supervised Learning with Joint Inliers and Outliers Utilization.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2021
A novel multiple instance learning framework for COVID-19 severity assessment via data augmentation and self-supervised learning.
Medical Image Anal., 2021


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