职称：副教授

      于2014年、2021年与西北工业大学获得学士和博士学位，2022年入职西北大学信息科学与技术学院。研究领域包括医学图像处理、多模态脑结构差异分析、大脑功能解码等研究。以第一作者或共同第一作者身份在脑影像领域高水平刊物包括Cerebral Cortex等发表论文十余篇。

教学课程：

电子与通信数学、机器视觉

发表论文情况：

1. Xiao Li, Songyao Zhang, Xi Jiang, Shu Zhang, Junwei Han, Lei Guo, Tuo Zhang. Cortical development coupling between surface area and sulcal depth on macaque brains. Brain Structure & Function. 2022

2. Xiao Li, Tao Liu, Yujie Li, Qing Li, Xianqiao Wang, Xintao Hu, Lei Guo, Tuo Zhang, Tianming Liu. (2021). Marmoset Brain ISH Data Revealed Molecular Difference Between Cortical Folding Patterns. Cerebral Cortex, 31(3), 1660-1674.

3. Tuo Zhang, Xiao Li, Xi Jiang, Fangfei Ge, Shu Zhang, Lin Zhao, Huan Liu, Ying Huang, Xianqiao Wang, Jian Yang, Lei Guo, Xiaoping Hu, Tianming Liu. (2020). Cortical 3-hinges could serve as hubs in cortico-cortical connective network. Brain imaging and behavior, 1-18.

4. Xiao Li, Hanbo Chen, Tuo Zhang, Xiang Yu, Xi Jiang, Kaiming Li, Longchuan Li, Mir Jalil Razavi, Xianqiao Wang, Xintao Hu, Junwei Han, Lei Guo, Xiaoping Hu, Tianming Liu. (2017). Commonly preserved and species-specific gyral folding patterns across primate brains. Brain Structure & Function, 222(5), 1-15.

5. Fangfei Ge, Xiao Li, Razavi, M. J., Hanbo Chen, Tuo Zhang, Shu Zhang, Kaiming Li, Xiaoping Hu, Xianqiao Wang, Tianming Liu. (2017). Denser growing fiber connections induce 3-hinge gyral folding. Cerebral Cortex, 28(3), 1-12.

6. Xiao Li, Tuo Zhang, Qinglin Dong, Shu Zhang, Xintao Hu, Lei Du, Kaiming Li, Tianming Liu. (2017). Predicting cortical 3-hinge locations via structural connective features. IEEE, International Symposium on Biomedical Imaging (pp.533-537).

7. Xiao Li, Tuo Zhang, Tianming Liu, Jinglei Lv, Xintao Hu, Lei Guo, Tianming Liu. (2016). A data-driven method to study brain structural connectivities via joint analysis of microarray data and dMRI data. IEEE, International Symposium on Biomedical Imaging (pp.829-832).

8. Xiao Li, Lei Du, Tuo Zhang, Xintao Hu, Xi Jiang, Lei Guo, Tianming Liu. (2016). Species Preserved and Exclusive Structural Connections Revealed by Sparse CCA. International Conference on Medical Image Computing and Computer-Assisted Intervention