姜筱，博士，讲师，伟德国际1946源于英国第一层次引进人才。研究方向主要包括：生物医学数据分析与机器学习、脑功能影像智能分析等。近五年来在IEEE trans、Computer Methods and Programs in Biomedicine等国内外权威学术期发表SCI收录论文7篇。
教研、科研项目：
脑功能数据上的图表示与分类学习, 国家自然科学基金委员会, 面上项目, 2022-01-01 至 2025-12-31, 参与。
代表性论文（5篇）
[1] Xiao Jiang, Limei Zhang, Lishan Qiao, Dinggang Shen. Estimating Functional Connectivity Networks via Low-rank Tensor Approximation with Applications to MCI Identification. IEEE Transactions on Biomedical Engineering, 2020, 67(7): 1912-1920.
[2] Xiao Jiang, Lishan Qiao, Renato De Leone, Dinggang Shen. Joint Selection of Brain Network Nodes and Edges for MCI Identification. Computer Methods and Programs in Biomedicine, 2022, 225:107082.
[3] Xiao Jiang, Guangyu Wang, Limei Zhang, Xiaoming Xi, Renato De Leone, Lishan Qiao. Label-guided Low-rank Approximation for Functional Brain Network Learning in Identifying Subcortical Vascular Cognitive Impairment. Biomedical Signal Processing and Control, 2024, 98:106766.
[4] Xiao Jiang（共一）, Yueying Zhou, Yining Zhang, Limei Zhang, Lishan Qiao, Renato De Leone. Estimating High-Order Brain Functional Networks in Bayesian View for Autism Spectrum Disorder Identification. Frontiers in Neuroscience, 2022, 16:872848.
[5] Haimei Wang, Xiao Jiang（共一）, Renato De Leone, Yining Zhang, Lishan Qiao, Limei Zhang. Exacting BOLD Signals Based on Time-constrained Multiset Canonical Correlation Analysis for Brain Functional Network Estimation and Classification. Brain Research, 2022, 1775:147745.
联系邮箱：jiangxiao@lcu.edu.cn
