王博，2025年博士毕业于湖南大学，师从骆嘉伟教授。博士期间获国家留学基金管理委员会资助，赴新加坡南洋理工大学开展联合培养研究；同年入职郑州大学计算机与人工智能学院。主要研究方向包括AI for Biology、医学图像分析、空间组学与生物信息学，主持/参与多项国家自然科学基金项目。近年来以第一作者在BiB、BIBM等国内外重要期刊和会议发表多篇学术论文，并担任JBHI、BIB、TCBB、BIBM等期刊及会议审稿人。

欢迎对AI for Biology、医学图像、空间组学、生物信息学方向感兴趣的同学联系交流，期待你的加入！

电子邮箱：iewangbo@zzu.edu.cn
个人主页：https://cs-wangbo.github.io/

科研项目

[1]国家自然科学基金青年科学基金项目（C类），2027.01-2029.12，主持.

近五年代表性论文：

[1] Bo Wang, Yahui Long, Yuting Bai, Jiawei Luo, Chee Keong Kwoh, STCGAN: a novel cycle-consistent generative adversarial network for spatial transcriptomics cellular deconvolution, Briefings in Bioinformatics, Volume 26, Issue 1, January 2025, bbae670. (CCF B, Top, IF = 6.8)

[2] Bo Wang; Wei Liu; Jiawei Luo; Xiangtao Chen; Chee Keong Kwoh. SMMGCL: a novel multi-level graph contrastive learning framework for integrating spatial multi-omics data[C]//2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). IEEE, 2024: 1213-1218. (CCF B类会议)

[3] Bo Wang, Jiawei Luo, Ying Liu, Wanwan Shi, Zehao Xiong, Cong Shen, Yahui Long, Spatial-MGCN: a novel multi-view graph convolutional network for identifying spatial domains with attention mechanism, Briefings in Bioinformatics, Volume 24, Issue 5, September 2023, bbad262. (CCF B, Top, IF = 13.994)

[4] Wei Liu, Bo Wang, Yuting Bai, Xiao Liang, Li Xue, Jiawei Luo, SpaGIC: graph-informed clustering in spatial transcriptomics via self-supervised contrastive learning, Briefings in Bioinformatics, Volume 25, Issue 6, November 2024, bbae578. (CCF B, Top, IF = 6.8)

[5] Shizhe Hu, Bo Wang, Zhengzheng Lou, Yangdong Ye. Multi-view content-context information bottleneck for image clustering[J]. Expert Systems with Applications, 2021, 183: 115374. (SCI 1区, Top, IF = 8.665)