Yiheng Xiong

I am a PhD student at DFG Research Training Group Knowledge Infusion and Extraction for Explainable Medical AI (KEMAI), Ulm University, working with Prof. Michael Götz. Previously, I obtained my Master's degree from the Technical University of Munich and my Bachelor's degree from Nanjing University.

My current research interests focus on improving the robustness of neural networks under domain shift, primarily through domain adaptation and domain generalization, with a particular emphasis on leveraging weak supervision.

X / Github / LinkedIn / Google Scholar / CV

* denotes equal contribution and † denotes shared last authorship.

Towards Practical Algorithm Selection for Unsupervised Domain Adaptation in Medical Imaging
Yiheng Xiong, Luisa Gallée, Daniel Santak Wolf, Heiko Hillenhagen, Michael Götz
MICCAI Workshop on Applications of Medical AI (AMAI), 2026

Arxiv / Code /

FunnyNodules: A Customizable Medical Dataset Tailored for Evaluating Explainable AI
Luisa Gallée, Yiheng Xiong, Meinrad Beer, Michael Götz
Medical Imaging with Deep Learning (MIDL), 2026 (Oral, top 8%)

Arxiv / Code / Paper

PT43D: A Probabilistic Transformer for Generating 3D Shapes from Single Highly-Ambiguous RGB Images
Yiheng Xiong, Angela Dai
British Machine Vision Conference (BMVC), 2024 (Oral, top 3%)

Arxiv / Code / Video / Paper

Prior-RadGraphFormer: A Prior-Knowledge-Enhanced Transformer for Generating Radiology Graphs from X-Rays
Yiheng Xiong*, Jingsong Liu*, Kamilia Zaripova*, Sahand Sharifzadeh, Matthias Keicher†, Nassir Navab†
MICCAI Workshop on GRaphs in biomedicAl Image anaLysis (GRAIL), 2023

Arxiv / Code / Paper

Services

Teaching

Introduction to Informatics (IN8027), Teaching Assistant, Winter Semester 2022

Reviewing

MICCAI 2025, 2026

Contact Information

Address: Ulm University Medical Center, Department of Diagnostic and Interventional Radiology, Albert-Einstein-Allee 23, 89081 Ulm

Room: Experimentelle Radiologie - KI Forschung

Email: yiheng.xiong@uni-ulm.de

Website source: source code.