目前已在医学图像与人工智能相关领域的重要期刊和顶级会议发表论文50余篇，其中SCI收录20余篇，EI收录20余篇。论文发表的刊物与论文包括 MEDICAL IMAGE ANALYSIS(MIA，SCI一区顶级期刊，2019年影响因子11.1)、IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING (TBME，SCI 二区期刊，2018年影响因子4.49)、 CEREBRAL CORTEX (SCI一区顶级期刊， 2018年影响因子5.437)、BRAIN IMAGING AND BEHAVIOR(BIB，SCI二区期刊， 2018年影响因子3.418)、MEDICAL IMAGE COMPUTING AND COMPUTER ASSISTED INTERVENTION(MICCAI，医学图像处理国际会议)等。同时长期担任IEEE TMI，MICCAI等顶级期刊与国际顶级会议的审稿人。

主持课题：

？ 大脑功能与结构共生一致性框架及其层次动态特性研究， 主持，2021-2023，国家级

？ XXX扰动数值计算与仿真建模研究， 主持，2019.12-2022.12，国家级

？ 基础研究与创新发展，主持，2019-2021，校级

？ 高水平师资引进项目，主持，2020-2022，校级

近五年论文代表作(Selected)：Shu Zhang, Huan Liu, Heng Huang, Yu ZhSao, Xi Jiang, Lei Guo, Xiaoping Hu, Mar Sanchez, Tianming Liu. Deep Learning Models Unveiled Functional Difference between Cortical Gyri and Sulci. IEEE Transactions on Biomedical Engineering, 2019, 66(5):1297-1308.

Shu Zhang, Qinglin Dong, Wei Zhang, Heng Huang, Dajiang Zhu, Tianming Liu. Discovering Hierarchical Common Brain Networks via Multimodal Deep Belief Network. Medical Image Analysis, 2019, 54: 238-252.

Shu Zhang, Xi Jiang, Wei Zhang, Tuo Zhang, Hanbo Chen, Yu Zhao, Jinglei Lv, Lei Guo, Brittany R Howell, Mar M. Sanchez, Xiaoping Hu, Tianming Liu. Joint Representation of Connectome-scale Structural and Functional Profiles for Identification of Consistent Cortical Landmarks in Macaque Brain. Brain Imaging and Behavior, 2019, 13:1427–1443.

Huan Liu#, Shu Zhang#, Xi Jiang, Tuo Zhang, Heng Huang, Fangfei Ge, Lin Zhao, Xiao Li, Xintao Hu, Junwei Han, Lei Guo, Tianming Liu*. The Cerebral Cortex is Bisectionally Segregated into Two Fundamentally Different Functional Units of Gyri and Sulci. Cerebral Cortex, 2019, 29(10):4238-4252.*Co-first authors, (并列第一作者).

Shu Zhang, Yu Zhao, Xi Jiang, Dinggang Shen, Tianming Liu. Joint representation of consistent structural and functional profiles for identification of common cortical landmarks. Brain Imaging and Behavior. 2018 Jun 1;12(3):728-42.

Shu Zhang, Xiang Li, Jinglei Lv, Xi Jiang, Lei Guo, Tianming Liu. Characterizing and differentiating task-based and resting state fMRI signals via two-stage sparse representations. Brain Imaging and Behavior. 2016, 10(1): 21-32.

Shu Zhang, Fangfang Han, Zhengrong Liang, et al., An investigation of CNN models for differentiating malignant from lesions using small pathologically proven datasets. Comput Med Imaging Graph, 2019.

Shu Zhang, Tianming Liu, Dajiang Zhu, Exploring Fiber Skeletons via Joint Representation of Functional Networks and Structural Connectivity. Accepted, International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI). 2018 Sep 16 (pp. 357-366).

Shu Zhang, Tuo Zhang, Xiao Li, Lei Guo, Tianming Liu, Joint Representation of Cortical Folding, Structural Connectivity and Functional Networks, IEEE 15th International Symposium on Biomedical Imaging (ISBI). 2018 Apr 4 (pp. 1-5).

Shu Zhang, Xi Jiang, Tianming Liu. Joint Representation of Connectome-scale Structural and Functional Profiles for Identification of Consistent Cortical landmarks in Human Brains. International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI). 2017 Sep 10 (pp. 398-406).

Shu Zhang, Xiang Li, Lei Guo, Tianming Liu. Exploring human brain activation via nested sparse coding and functional operators. IEEE 14th International Symposium on Biomedical Imaging (ISBI). 2017 Apr 18 (pp. 947-951).