Xin Wang

Xin Wang

Email: xwang99[at]uw[dot]edu

I am joining Ant Group as an applied scientist in medical AI, working with Dr. Le Lu. I received my Ph.D. from the Department of Electrical and Computer Engineering at the University of Washington in 2026, co-advised by Prof. Linda Shapiro and Prof. Chun Yuan. Before my Ph.D., I worked as a research assistant in the School of Data Science at Fudan University, supervised by Prof. Xiahai Zhuang. I obtained my Bachelor’s degree from the Department of Electronic Engineering at Fudan University in 2020, advised by Prof. Jinhua Yu.

My research interests include medical image analysis and machine learning. I focus on developing novel multimodal models to advance disease prevention, diagnosis, and prognosis.

Education

  • (2021-2026) Ph.D., Department of Electrical and Computer Engineering, University of Washington
  • (2021-2025) (Dual Degree) M.S., Department of Statistics, University of Washington
  • (2020-2021) Visiting Student, School of Data Science, Fudan University
  • (2016-2020) B.Eng., Department of Electronic Engineering, Fudan University

Publications

Unified and Semantically Grounded Domain Adaptation for Medical Image Segmentation [Article], [arXiv]
Xin Wang et al.
IEEE Transactions on Medical Imaging (TMI), 2026

Bayesian Unsupervised Disentanglement of Anatomy and Geometry for Deep Groupwise Image Registration [Article], [arXiv]
Xinzhe Luo*, Xin Wang* et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2026

RemInD: Remembering Anatomical Variations for Interpretable Domain Adaptive Medical Image Segmentation [Proceedings], [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

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

Reviewer

  • IEEE Transactions on Medical Imaging
  • IEEE Transactions on Emerging Topics in Computational Intelligence
  • International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI)