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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 |
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* denotes equal contribution and † denotes shared last authorship.
Yiheng Xiong, Luisa Gallée, Daniel Santak Wolf, Heiko Hillenhagen, Michael Götz
Winter Conference on Applications of Computer Vision (WACV), 2027 (Early Accept)
Luisa Gallée, Yiheng Xiong, Meinrad Beer, Michael Götz
Medical Imaging with Deep Learning (MIDL), 2026 (Oral, top 8%)
Yiheng Xiong, Angela Dai
British Machine Vision Conference (BMVC), 2024 (Oral, top 3%)
Yiheng Xiong, Luisa Gallée, Daniel Santak Wolf, Heiko Hillenhagen, Michael Götz
MICCAI Workshop on Applications of Medical AI (AMAI), 2026
Yiheng Xiong*, Jingsong Liu*, Kamilia Zaripova*, Sahand Sharifzadeh, Matthias Keicher†, Nassir Navab†
MICCAI Workshop on GRaphs in biomedicAl Image anaLysis (GRAIL), 2023
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Teaching Introduction to Informatics (IN8027), Teaching Assistant, Winter Semester 2022 Reviewing MICCAI 2025, 2026 |
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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 |
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Website source: source code. |