Education Background：

2012-2015：The Iowa University (USA) AI+Precision Medicine Post-doc

2008-2012：Xidian University Computer Science Phd

Working Experience：

2025-Now：SLAI Professor

2019-Now：Xidian University School of Computer Science Professor

Ma Xiaoke, PhD, is a Professor and Doctoral Supervisor at the School of Computer Science and Technology, Xidian University. He graduated from Xidian University with a PhD in Computer Science and Technology and was a postdoc scholar at Iowa University (USA). His research focuses on artificial intelligence, data mining and precision medicine. He has hosted many projects such as national key research projects and published over 100 papers in top journals/conferences such as Science Immunology, Cell Stem Cell,  IEEE TPAMI and IEEE TKDE. Cooperation in AI and biomedical engineering fields and applications from outstanding students are welcome.

1.Xin Zhao, Shenggen Shawn Hu, Wen-Han Lee, Johannes L. Zakrzewski, Qing-Sheng Mi, Rachel K. Rosenstein, Chongzhi Zang, Xiaoke Ma*, Hai-Hui Xue. Single-cell multiomics identifies Tcf1 and Lef1 as key initiators of early thymic progenitor fate. Science Immunology. 10(111):eadq8970. 2025

2.Yu Wang, Zaiyi Liu, Xiaoke Ma*. MuCST: restoring and integrating heterogeneous morphology images and spatial transcriptomics data with contrastive learning. Genome Medicine. 17:21. 2025

3. Yu Wang, Zaiyi Liu, Xiaoke Ma*. Network model for alignment, stitching and slice-to-volume 3D reconstruction of large-scale spatially resolved slices. Nature Communications. accepted. 2026

4. Fangfang Li, Quanxue Gao, Xiaoke Ma, Ming Yang, Cheng Deng. Self-supervised graph embedding clustering. IEEE Transactions on Pattern Analysis and Machine Intelligence. 47(12): 11662-11673. 2025

5. Wenming Wu, Wensheng Zhang, Maoguo Gong, Xiaoke Ma*. Noised multi-layer networks clustering with graph denoising and structure learning. IEEE Transactions on Knowledge and Data Engineering. 36(10): 5294-5307. 2024

6. Yu Wang, Zaiyi Liu, Xiaoke Ma*. MNMST: Topology of cell networks leverages identification of spatial domains from spatial transcriptomics data. Genome Biology. 25:133. 2024