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Yuanwang Zhang

University of Pennsylvania
ywzhang3 (at) seas.upenn.edu


About Me

I’m a 2nd year PhD student in Bioengineering at University of Pennsylvania, advised by Prof. Yong Fan. Previously, I received my Master’s degree in Computer Science from ShanghaiTech University, where I was advised by Prof. Dinggang Shen.

My research lies at the intersection of machine learning and heathcare, with a particular focus on neuroimaging analysis and neurodegenerative diseases. I’m insterested in understanding disease mechanisms in a data-driven manner and enabling the early detection of neurodegenerative diseases. To this end, I have been developing interpretable machine learning methods for diagnosis, brain aging modeling, and disease progression analysis using multimodal neuroimaging data, patient statistics, and clinical records.

News

Publications

  1. Amyloid-β Deposition Prediction with Large Language Model Driven and Task Oriented Learning of Brain Functional Networks
    Yuxiao Liu, Mianxin Liu, Yuanwang Zhang, Yihui Guan, Qihao Guo, Fang Xie, Dinggang Shen
    IEEE Transactions on Medical Imaging, 2025
    PDF

  2. A Progressive Single-Modality to Multi-modality Classification Framework for Alzheimer’s Disease Sub-type Diagnosis
    Yuxiao Liu*, Mianxin Liu*, Yuanwang Zhang, Kaicong Sun, Dinggang Shen
    International Workshop on Machine Learning in Clinical Neuroimaging (MLCN), 2024
    PDF

  3. A Graph-Embedded Latent Space Learning and Clustering Framework for Incomplete Multimodal Multiclass Alzheimer’s Disease Diagnosis
    Zaixin Ou, Caiwen Jiang, Yuxiao Liu, Yuanwang Zhang, Zhiming Cui, Dinggang Shen
    International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2024
    PDF Code

  4. IEEE JBHI
    A Modality-Flexible Framework for Alzheimer's Disease Diagnosis Following Clinical Routine
    Yuanwang Zhang, Kaicong Sun, Yuxiao Liu, Fang Xie, Qihao Guo, Dinggang Shen
    IEEE Journal of Biomedical and Health Informatics (JBHI), 2024
    PDF Code

  5. Communication Engineering
    Achieving multi-modal brain disease diagnosis performance using only single-modal images through generative AI
    Kaicong Sun, Yuanwang Zhang, Jiameng Liu, Ling Yu, Yan Zhou, Fang Xie, Qihao Guo, Han Zhang, Qian Wang, Dinggang Shen
    Communication Engineering, 2024
    PDF Code

  6. A Prior-information-guided Residual Diffusion Model for Multi-modal PET Synthesis from MRI
    Zaixin Ou, Caiwen Jiang, Yongsheng Pan, Yuanwang Zhang, Zhiming Cui, Dinggang Shen
    International Joint Conference on Artificial Intelligence, 2024
    PDF Code

  7. MLMI
    Vector Quantized Multi-modal Guidance for Alzheimer’s Disease Diagnosis Based on Feature Imputation
    Yuanwang Zhang, Kaicong Sun, Yuxiao Liu, Zaixin Ou, Dinggang Shen
    International Workshop on Machine Learning in Medical Imaging (MLMI), 2023
    PDF Code

  8. Development and Fast Transferring of General Connectivity-Based Diagnosis Model to New Brain Disorders with Adaptive Graph Meta-Learner
    Yuxiao Liu, Mianxin Liu, Yuanwang Zhang, Dinggang Shen
    International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2023
    PDF

  9. ISBI
    Transformer-Based Multimodal Fusion for Early Diagnosis of Alzheimer's Disease Using Structural MRI And PET
    Yuanwang Zhang, Kaicong Sun, Yuxiao Liu, Dinggang Shen
    2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI)
    PDF Code

  10. Learning Hierarchical-Order Functional Connectivity Networks for Mild Cognitive Impairment Diagnosis
    Yuxiao Liu, Mianxin Liu, Yuanwang Zhang, Dinggang Shen
    2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI)
    PDF


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