Xiang Wan

Xiang Wan is a researcher at the University of Electronic Science and Technology of China, focusing on medical imaging, artificial intelligence, and biomedical engineering. His work bridges computer science and healthcare, with recent contributions to polyp segmentation, bronchus classification, and cross-modal medical image analysis.

• Key Research Areas: Medical Imaging, Artificial Intelligence, 3D Image Processing, Data Science, Biomedical Engineering.

Wan’s publications include advancements in diffusion models, state-space networks, and domain generalization techniques. He has collaborated extensively with peers like Guanbin Li and Haofeng Li, contributing to journals such as Neural Networks and conferences like AAAI and MICCAI. While no explicit academic rank is provided, his active role in research aligns with a Researcher designation.