Qinghe Ma

I am a Ph.D. student in Department of Computer Science and Technology at Nanjing University and a member of Reasoning & Learning Group, fortunately supervised by Prof. Yinghuan Shi. My current research interests include semi-supervised learning, semi-supervised medical image segmentation, and domain adaptation.

Education

2022.09 - Present, Ph.D. Student, Department of Computer Science and Technology, Nanjing University.
2018.09 - 2022.06, B.Sc. Degree, Department of Computer Science and Technology, Nanjing University.

2025.04 - Present, Shanghai Artificial Intelligence Laboratory (Shanghai AI Lab).
- Conducting research on multimodal large models and medical visual understanding.

Qinghe Ma, Jian Zhang, Lei Qi, Qian Yu, Yinghuan Shi, Yang Gao. Unleashing the Power of Intermediate Domains for Mixed Domain Semi-Supervised Medical Image Segmentation. IEEE Transactions on Medical Imaging (TMI), 2025.
Qinghe Ma, Jian Zhang, Zekun Li, Lei Qi, Qian Yu, Yinghuan Shi. Steady Progress Beats Stagnation: Mutual Aid of Foundation and Conventional Models in Mixed Domain Semi-Supervised Medical Image Segmentation. Conference on Computer Vision and Pattern Recognition (CVPR), 2025.
Qinghe Ma, Jian Zhang, Lei Qi, Qian Yu, Yinghuan Shi, Yang Gao. Constructing and Exploring Intermediate Domains in Mixed Domain Semi-supervised Medical Image Segmentation. Conference on Computer Vision and Pattern Recognition (CVPR), 2024.
Xixuan Yu, Qinghe Ma, Tong Ling, Jiewen Zhu, Yinghuan Shi. Enhancing semi-supervised medical image segmentation with bidirectional copy-paste and masked image reconstruction. International Journal of Machine Learning and Cybernetics (IJMLC).

Reviewer for CVPR, ICCV, PRCV, TIP, TMI, JBHI, TNNLS, MEDIA.