焦波
作者： 2023-04-19 浏览量：420
焦波，男，1981年出生，厦门大学嘉庚学院人工智能与计算机学院教授。本科毕业于南开大学数学院计算数学专业, 博士毕业于国防科技大学信息系统与管理学院控制科学与工程专业。主要研究方向为图数据建模与挖掘、图学习、深度学习、图采样与图可视化。讲授课程包括数据采集与预处理、大数据分析实践、高等数学等。主持或骨干参与多项国家自然科学基金、省部级各类基金以及国家863等项目，发表学术论文30余篇，授权国家发明专利6项，出版专著1部。
发表论文情况：
[1] Qia Hu (硕士生) and Bo Jiao*. Hierarchical graphsampling based minibatch learning with chain preservation and variancereduction. Neurocomputing, 2025, 650: 130897. CCF C/中科院大类二区.
[2]BoJiao*, Xin Lu, Jingbo Xia, et al. Hierarchical sampling forthe visualization of large scale-free graphs. IEEE Transactions on Visualization and Computer Graphics, 2023,29(12): 5111-5123. CCF A.
[3]Bo Jiao*. Sampling unknownlarge networks restricted by low sampling rates. Scientific Reports, 2024:13340.
[4]Brij Bhooshan Gupta, Akshat Gaurav, Ching-Hsien Hsu, BoJiao. Identity-based authentication mechanism for secureinformation sharing in the maritime transport system. IEEE Transactions onIntelligent Transportation Systems, 2023, 24(2): 2422-2430. CCF B.
[5]BoJiao, Jianmai Shi, Wensheng Zhang, et al. Graph sampling for Internettopologies using normalized Laplacian spectral features. Information Sciences, 2019, 481:574-603. CCF B.
[6]Bo Jiao*,Yuanping Nie, Jianmai Shi, et al. Scaling of weighted spectral distribution indeterministic scale-free networks. Physica A, 2016, 451: 632-645.
[7]Bo Jiao*,Yuanping Nie, Jianmai Shi, et al. Accurately and quickly calculating theweighted spectral distribution. Telecommunication Systems, 2016, 62: 231-243.
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