Nian Wu

I am Nian Wu, a third-year Ph.D. student in the Department of Electrical and Computer Engineering at the University of Virginia (UVA). I work as a Graduate Research Assistant in the MIA Lab under the supervision of Prof. Miaomiao Zhang.

Before attending UVA, I earned my M.S. in Computer Technology from East China Normal University (ECNU), where I worked with Dr. Chaomin Shen as a Research Assistant.

My research focuses on developing time-efficient and robust machine learning algorithms for medical and biological image analysis, particularly in scenarios with limited computational resources. My work spans spatiotemporal imaging analysis and pairwise image comparison, which has been published in leading conferences such as MICCAI, IPMI, and ISBI.

Publications

	Unsupervised Cardiac Video Translation Via Motion Feature Guided Diffusion Model Swakshar Deb, Nian Wu, Frederick H. Epstein, Miaomiao Zhang Oral at MICCAI 2025 Paper \| Code \| YouTube
	IGG: Image Generation Informed by Geodesic Dynamics in Deformation Spaces Nian Wu, Nivetha Jayakumar, Jiarui Xing, Miaomiao Zhang Oral at IPMI 2025 Paper \| Code \| YouTube
	TLRN: Temporal Latent Residual Networks for Large Deformation Image Registration Nian Wu, Jiarui Xing, Miaomiao Zhang MICCAI 2024 Paper \| Code
	LaMoD: Latent Motion Diffusion Model for Myocardial Strain Generation Jiarui Xing, Nivetha Jayakumar, Nian Wu, Yu Wang, Frederick H. Epstein, Miaomiao Zhang ShapeMI 2024 Paper \| Code
	Multimodal Learning to Improve Cardiac Late Mechanical Activation Detection from Cine MR Images Jiarui Xing, Nian Wu, Kenneth Bilchick, Frederick H. Epstein, Miaomiao Zhang Oral at ISBI 2024 Paper \| YouTube
	NeurEPDiff: Neural Operators to Predict Geodesics in Deformation Spaces Nian Wu, Miaomiao Zhang Oral at IPMI 2023 Paper \| Code \| YouTube
	Hybrid Atlas Building with Deep Registration Priors Nian Wu, Jian Wang, Miaomiao Zhang, Guixu Zhang, Yaxin Peng, Chaomin Shen ISBI 2022 Paper

Under Review at MELBA

Learning Geodesics of Geometric Shape Deformations from Images
Nian Wu, Miaomiao Zhang
arXiv
Paper | Code

	Unsupervised Cardiac Video Translation Via Motion Feature Guided Diffusion Model Swakshar Deb, Nian Wu, Frederick H. Epstein, Miaomiao Zhang Oral at MICCAI 2025 Paper \| Code \| YouTube
	IGG: Image Generation Informed by Geodesic Dynamics in Deformation Spaces Nian Wu, Nivetha Jayakumar, Jiarui Xing, Miaomiao Zhang Oral at IPMI 2025 Paper \| Code \| YouTube
	TLRN: Temporal Latent Residual Networks for Large Deformation Image Registration Nian Wu, Jiarui Xing, Miaomiao Zhang MICCAI 2024 Paper \| Code
	LaMoD: Latent Motion Diffusion Model for Myocardial Strain Generation Jiarui Xing, Nivetha Jayakumar, Nian Wu, Yu Wang, Frederick H. Epstein, Miaomiao Zhang ShapeMI 2024 Paper \| Code
	Multimodal Learning to Improve Cardiac Late Mechanical Activation Detection from Cine MR Images Jiarui Xing, Nian Wu, Kenneth Bilchick, Frederick H. Epstein, Miaomiao Zhang Oral at ISBI 2024 Paper \| YouTube
	NeurEPDiff: Neural Operators to Predict Geodesics in Deformation Spaces Nian Wu, Miaomiao Zhang Oral at IPMI 2023 Paper \| Code \| YouTube
	Hybrid Atlas Building with Deep Registration Priors Nian Wu, Jian Wang, Miaomiao Zhang, Guixu Zhang, Yaxin Peng, Chaomin Shen ISBI 2022 Paper