Email: xwang99[at]uw[dot]edu

I am a Ph.D. student in the Department of Electrical & Computer Engineering at the University of Washington, co-advised by Prof. Linda Shapiro and Prof. Chun Yuan.

My research interests include medical image analysis and machine learning. I am dedicated to developing novel statistical models for multimodal image fusion, thereby enhancing disease prevention, diagnoisis and prognosis. My recent work focuses on Bayesian representation learning for multimodal image registration and segmentation.

Before becoming a Ph.D. student at the UW, I worked as a research assistant in statistics in the School of Data Science at Fudan University, supervised by Prof. Xiahai Zhuang. I obtained my B.Eng. degree in Electronic Engineering at Fudan University in 2020, advised by Prof. Jinhua Yu.

Education

• (2021-present) Ph.D., Department of Electrical & Computer Engineering, University of Washington
• (2024-present) Concurrent Master, Department of Statistics, University of Washington
• (2020-2021) Visiting Student in Statistics, School of Data Science, Fudan University
• (2016-2020) B.Eng., Department of Electronic Engineering, Fudan University

Publications

BInGo: Bayesian Intrinsic Groupwise Registration via Explicit Hierarchical Disentanglement [Proceedings], [Arxiv]
Xin Wang*, Xinzhe Luo*, Xiahai Zhuang
(Oral, Best Paper Runner-up) The 28th biennial international conference on Information Processing in Medical Imaging (IPMI), 2023

(Oral) RemInD: Remembering Anatomical Variations for Interpretable Domain Adaptive Medical Image Segmentation [Arxiv]
Xin Wang et al.
The 29th biennial international conference on Information Processing in Medical Imaging (IPMI), 2025

Automated MRI-based segmentation of intracranial arterial calcification by restricting feature complexity [Article]
Xin Wang et al.
Magnetic Resonance in Medicine, 2024

Reviewer

• IEEE Transactions on Medical Imaging