1.科研项目
(1)
国家自然科学基金青年项目，
测量误差情形下高维矩阵回归模型的纠偏估计及应用
(
12201496
), 2023.01-2025.12
，主持。
(2) 陕西省自然科学基础研究计划青年项目，测量误差情形下高维多响应回归的纠偏研究及应用(2022JQ-045), 2022.01-2023.12，主持。
2.主要论文
(1) Li Xin; Wu Dongya; Cui Yue; Liu Bing; Henrik Walter; Gunter Schumann; Li Chong; Jiang Tianzi*; Reliable heritability estimation using sparse regularization in ultrahigh dimensional genome-wide association studies, BMC Bioinformatics, 2019, 20(1)
(2) Li Xin; Wu Dongya; Li Chong*; Wang Jinhua; Yao Jen-Chih; Sparse recovery via nonconvex regularized M-estimators over lq-balls, Computational Statistics and Data Analysis, 2020, 152
(3) Li Xin; Wu Dongya*; Minimax rates of lp-losses for high-dimensional linear errors-in-variables models over lq-balls, Entropy, 2021, 23(6)
(4) Li Xin; Hu Yaohua*; Li Chong; Yang Xiaoqi; Jiang Tianzi; Sparse estimation via lower-order penalty optimization methods in high-dimensional linear regression, Journal of Global Optimization, 2022
(5) Wu Dongya; Li Xin; Jiang Tianzi*; Reconstruction of behavior-relevant individual brain activity: an individualized fMRI study, Science China Life Sciences, 2019
(6) Wu Dongya; Li Xin*; Feng Jun*; Multi-hops functional connectivity improves individual prediction of fusiform face activation via a graph neural network, Frontiers in Neuroscience, 2021
(7) Wu Dongya; Li Xin*; Feng Jun*; Connectome-based individual prediction of cognitive behaviors via graph propagation network reveals directed brain network topology, Journal of Neural Engineering, 2021
(8) Wu Dongya*; Li Xin*; Graph propagation network captures individual specificity of the relationship between functional and structural connectivity, Human Brain Mapping, 2023
(9) Li Xin*; Wu Dongya*; Low-rank matrix estimation via nonconvex optimization methods in multi-response errors-in-variables regression, Journal of Global Optimization, 2023
