Yanwu Yang (杨延武)

yangyanwu1111@gmail.com

I am now a postdoc in University Tübingen Hospital and IMPRS-IS. My interests include neuroimaging analysis (e.g., large-scale analysis, neurodevelopment, and aging), computational neuroscience, and Connectome-Wide Association Studies (CWAS). Additionally, I am keen on promoting deep learning methods for clinical applications and leveraging neuroscience in foundation model analysis (e.g., the emergence and reasoning in LLMs).

Studied topics:

  • Brain Connectome
  • Normative Modeling
  • Knowledge Circuits

    Google Scholar Github

    • News


    Research

    Advancing Brain Imaging Analysis Step-by-step via Progressive Self-paced Learning
    Yanwu Yang, Hairui Chen, Jiesi Hu, Xutao Guo, Ting Ma*
    MICCAI, 2024.
    Paper /
    BrainMass: Advancing Brain Network Analysis for Diagnosis with Large-scale Self-Supervised Learning
    Yanwu Yang, Chenfei Ye, Guinan Su, Ziyao Zhang, Zhikai Chang, Hairui Chen, Piu Chan, Yue Yu* and Ting Ma*
    IEEE Transactions on Medical Imaging (TMI), 2024.
    Paper /
    Topology-Regularized Self-Knowledge Distillation for Transductive-Inductive Learning of Brain Disorder Diagnosis
    Yanwu Yang, Xutao Guo, Guoqing Cai, Chenfei Ye, and Ting Ma*
    IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP, 2022.
    Paper /
    CReg-KD: Model Refinement via Confidence Regularized Knowledge Distillation for Brain Imaging
    Yanwu Yang, Xutao Guo, Chenfei Ye, Yang Xiang*, and Ting Ma*
    Medical Image Analysis (MedIA), 2023.
    Paper / Code
    Mapping Multi-modal Brain Connectome for Brain Disorder Diagnosis via Cross-modal Mutual Learning
    Yanwu Yang, Chenfei Ye, Xutao Guo, Tao Wu, Yang Xiang*, and Ting Ma*
    IEEE Transactions on Medical Imaging (TMI), 2023.
    Paper / Code
    Incomplete Learning of Multimodal Connectome for Brain Disorder Diagnosis via Modal-mixup and Deep Supervision
    Yanwu Yang, Hairui Chen, Zhikai Chang, Yang Xiang, Chenfei Ye*, and Ting Ma*
    International Conference on Medical Imaging with Deep Learning, MIDL, 2023.
    Paper Code
    A Deep Connectome Learning Network Using Graph Convolution for Connectome-disease Association Study
    Yanwu Yang, Chenfei Ye, and Ting Ma*
    Neural Networks (NN), 2023.
    Paper
    Tensor-based Complex-valued Graph Neural Network for Dynamic Coupling Multimodal Brain Networks
    Yanwu Yang, Guoqing Cai, Chenfei Ye, Yang Xiang*, and Ting Ma*
    IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP, 2022.
    Paper
    Multi-modal Dynamic Graph Network: Coupling Structural and Functional Connectome for Disease Diagnosis and Classification
    Yanwu Yang, Xutao Guo, Zhikai Chang, Chenfei Ye, Yang Xiang*, and Ting Ma*
    IEEE International Conference on Bioinformatics and Biomedicine, (BIBM), 2021.
    Paper
    Regularizing Brain Age Prediction via Gated Knowledge Distillation
    Yanwu Yang, Xutao Guo, Chenfei Ye, Yang Xiang*, and Ting Ma*
    International Conference on Medical Imaging with Deep Learning, MIDL, 2022.
    Paper / Code
    Brain Age Vector: A Measure of Brain Aging with Enhanced Neurodegenerative Disorder Specificity
    Chen Ran, Yanwu Yang, Chenfei Ye, Haiyan Lv, and Ting Ma*
    Human Brain Mapping, 2022.
    Paper
    Alteration of Brain Structural Connectivity in Progression of Parkinson's Disease: A Connectome-wide Network Analysis
    Yanwu Yang, Chenfei Ye, Junyan Sun, Li Liang, Haiyan Lv, Linlin Gao, Jiliang Fang, Ting Ma*, and Tao Wu*
    NeuroImage: Clinical, 2021.
    Paper


    Competitions
    The Top in the Tecent AIMIS 2021 challenge
    on Brain Age Prediction

    The Top in MICCAI-QUBIQ-2021 challenge
    on Medical Image Segmentation Uncertainty Quantification




    Last Update: Nov 4, 2024

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