Research
My interests drive by a passion for integrating AI to all conditions, such as embedded systems, wearable devices, etc. to create impactful, human-centered innovations. Some papers are highlighted.
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Through the Eyes of Emotion: A Multi-faceted Eye Tracking Dataset
for Emotion Recognition in Virtual Reality
Tongyun Yang†,
Bishwas Regmi†,
Lingyu Du,
Andreas Bulling,
Xucong Zhang,
Guohao Lan
IMWUT/Ubicomp, 2025
arXiv
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code
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bibTex
An eye-tracking dataset in VR, combining high-frame-rate periocular videos and high-frequency gaze data to enable accurate, multimodal emotion recognition.
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Reverse Imaging: Any-Sequence Generalization for Cardiac MRI Segmentation
Yidong Zhao,
Yi Zhang,
Tongyun Yang,
Maša Božić-Iven,
Ayda Arami,
Yuchi Han,
Orlando Simonetti,
Hui Xue,
Petter Kellman,
Sebastian Weingärtner,
Qian Tao
MICCAI & IEEE Transactions on Medical Imaging, 2025
arXiv
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bibTex
A physics-driven framework that estimates tissue properties (M0, T1, T2) from annotated cardiac MRI images using diffusion models, enabling physics-based synthesis of diverse unseen sequences for zero-shot generalization of segmentation models across different MRI contrasts.
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Pruning nnU-Net with Minimal Performance Loss]{Pruning nnU-Net with Minimal Performance Loss
Tongyun Yang,
Yidong Zhao,
Qian Tao
MIDL, 2025
arXiv
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code
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bibTex
Trained nnU-Net models contain substantial weight redundancy, with over 80% of weights removable through simple magnitude-based pruning while maintaining same performance across multiple medical segmentation tasks.
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