Zhe Liu

Zhe Liu is a researcher at Jiangsu University, School of Computer Science and Telecommunication Engineering, China. He has extensive collaborations across institutions including University of Edinburgh, IBM Almaden Research Center, and Nanyang Technological University.

His research focuses on medical image segmentation, deep learning, and multimodal learning. Key areas include liver vessel segmentation, pancreas segmentation, lesion detection, and healthcare AI. He has developed frameworks like MMMViT and HI-Net to address challenges in missing modality handling and feature fusion.

Recent publications highlight trends in 3D convolutional networks (RC-3DUNet with SOM), semi-supervised learning for segmentation, and anomaly detection in time-series medical data. His work often combines computer vision with clinical applications, emphasizing robustness and data efficiency.

He has co-authored over 60 publications (2012-2025), frequently collaborating with Kai Han, Yuqing Song, and Victor S. Sheng on topics like medical imaging, deep learning, and biomedical signal processing.