M. Jiang

Most-cited papers

1. Adversarial Learning Based Node-Edge Graph Attention Networks for Autism Spectrum Disorder Identification

   Yu-Zhong Chen, Jia-Dong Yan, M. Jiang, Tuo Zhang +7 more

   2022IEEE Transactions on Neural Networks and Learning Systems119 citations

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2. Modeling spatio-temporal patterns of holistic functional brain networks via multi-head guided attention graph neural networks (Multi-Head GAGNNs)

   Jia-Dong Yan, Yu-Zhong Chen, Zhe Xiao, Shu Zhang +12 more

   2022Medical Image Anal.41 citations

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3. Characterizing functional brain networks via Spatio-Temporal Attention 4D Convolutional Neural Networks (STA-4DCNNs)

   Xi Jiang, Jia-Dong Yan, Yu Zhao, M. Jiang +9 more

   2022Neural Networks31 citations

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4. Anatomy-Guided Spatio-Temporal Graph Convolutional Networks (AG-STGCNs) for Modeling Functional Connectivity Between Gyri and Sulci Across Multiple Task Domains

   M. Jiang, Yu-Zhong Chen, Jia-Dong Yan, Zhe Xiao +10 more

   2022IEEE Transactions on Neural Networks and Learning Systems24 citations

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5. Skull metastasis is a poor prognostic factor for prostate cancer patients with bone metastasis: a retrospective study based on a Chinese population

   Tianyu Xiong, M. Jiang, Xiaobo Ye, Guangyi Zhu +4 more

   2023BMC Urology8 citations Open access

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6. Upregulation of mir-1199-5p is associated with reduced type 2 5-α reductase expression in benign prostatic hyperplasia

   Zhan-Liang Liu, Zhe Lin, Fang Cao, M. Jiang +3 more

   2022BMC Urology8 citations Open access

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7. Multi-head GAGNN: A Multi-head Guided Attention Graph Neural Network for Modeling Spatio-temporal Patterns of Holistic Brain Functional Networks

   Jia-Dong Yan, Yu-Zhong Chen, Shimin Yang, Shu Zhang +8 more

   2021International Conference on Medical Image Computing and Computer-Assisted Intervention7 citations

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8. Attention-Based Node-Edge Graph Convolutional Networks for Identification of Autism Spectrum Disorder Using Multi-Modal MRI Data

   Yu-Zhong Chen, Jia-Dong Yan, M. Jiang, Zhong-Bo Zhao +4 more

   2021Chinese Conference on Pattern Recognition and Computer Vision6 citations

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9. A deep learning based visual inspection of small-batch electronic assembly using few-shot-driven synthetic data

   M. Jiang, Tingyu Liu, Songyang Li, Xiaoping Lai +2 more

   2025Journal of Intelligent Manufacturing5 citations

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10. Regularity and variability of functional brain connectivity characteristics between gyri and sulci under naturalistic stimulus

    Zhe Xiao, Liang He, Boyu Zhao, M. Jiang +6 more

    2023Comput. Biol. Medicine4 citations

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11. Exploring Gyro-Sulcal Functional Connectivity Differences Across Task Domains via Anatomy-Guided Spatio-Temporal Graph Convolutional Networks

    M. Jiang, Shimin Yang, Zhong-Bo Zhao, Jia-Dong Yan +6 more

    2021MLMI@MICCAI3 citations

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12. A Guided Attention 4D Convolutional Neural Network for Modeling Spatio-Temporal Patterns of Functional Brain Networks

    Jia-Dong Yan, Yu Zhao, M. Jiang, Shu Zhang +9 more

    2021Chinese Conference on Pattern Recognition and Computer Vision2 citations

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13. A Novel Hybrid Model to Forecast Crude Oil Price Based on Hybrid Kernel Extreme Learning Machine and Multi-Objective Chaos Game Optimization

    Aiyi Song, Xi Jiang, M. Jiang, Yu Jin +3 more

    2026International Journal of Computational Intelligence Systems0 citations Open access

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14. Automatic prediction model of overall survival in prostate cancer patients with bone metastasis using deep neural networks

    Zhong-Xiao Wang, Tianyu Xiong, M. Jiang, Yun Cui +8 more

    2023ONCOLOGIE0 citations Open access

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