周凯波 - 华中科技大学 - 人工智能与自动化学院

个人简介

周凯波，华中理工大学/华中科技大学本科-硕士-博士毕业；管理科学与工程博士后；休斯敦大学测井和浅地表探测实验室访问学者。华中科技大学人工智能与自动化学院教授/博导，测量科学与仪器系副主任。先后主持或参与多项国家863、国家自然科学基金、预研基金、企业合作项目30余项；发表论文100余篇，申请专利10余项(其中授权发明专利9项，授权实用新型专利2项，软件著作权6项)；获省部级科学技术二等奖一项。

研究领域

水下无人系统智能集成系统人工智能与机器学习信息感知与处理

近期论文

查看导师新发文章（温馨提示：请注意重名现象，建议点开原文通过作者单位确认）

[1] Yajun Feng, Luanxiao Zhao, Minghui Xu, Jingyu Liu, Kaibo Zhou, and Jianhua Geng, (2025), "Simultaneous prediction of porosity, saturation, and lithofacies from seismic data via multitask deep learning," GEOPHYSICS 90: M135-M151. https://doi.org/10.1190/geo2024-0260.1. [2] Mengliang Zhu, Jie Liu, Yanglong Lu, Zhongxu Hu, Li Yuan, Kaibo Zhou, Black-box domain adaptation for cross-domain on-device machinery fault diagnosis via hierarchical debiased self-supervised learning, Knowledge-Based Systems, Volume 324, 2025, 113882, ISSN 0950-7051, https://doi.org/10.1016/j.knosys.2025.113882.. [3] C. Yang, J. Liu, K. Zhou and X. Jiang, "Semi-supervised machine fault diagnosis fusing unsupervised graph contrastive learning," in IEEE Transactions on Industrial Informatics, 2022, doi: 10.1109/TII.2022.3220847..IEEE TII, [4] K. Zhou, C. Yang, J. Liu and Q. Xu, "Dynamic Graph-Based Feature Learning With Few Edges Considering Noisy Samples for Rotating Machinery Fault Diagnosis," in IEEE Transactions on Industrial Electronics, vol. 69, no. 10, pp. 10595-10604, Oct. 2022, doi: 10.1109/TIE.2021.3121748.. [5] Shangyuan Li, Kaibo Zhou, Luanxiao Zhao, Qi Xu, Jie Liu*. An improved lithology identification approach based on representation enhancement by logging feature decomposition, selection and transformation. Journal of Petroleum Science and Engineering, 2022, 209:109842.[J]. [6] Zhou Kaibo, Li Shangyuan, Liu Jie, Zhou Xiang, Geng Zhexian. Sequential data-driven cross-domain lithology identification under logging data distribution discrepancy [J]. Measurement Science And Technology, 2021,32(12):125122. [7] Xiaoyong Yang, Qianxing Wei, Changhe Zhang, Kaibo Zhou, Li Kong, Weiwei Jiang. Colon Polyp Detection and Segmentation Based on Improved MRCNN. IEEE Transactions on Instrumentation and Measurement, 2021, 70:1-10. doi: 10.1109/TIM.2020.3038011.. [8] Kaibo Zhou,Shangyuan Li, Xiang Zhou, Yangxiang Hu, Changhe Zhang, JieLiu. Data-driven prediction and analysis method for nanoparticle transport behavior in porous media. 2021,172:108869.. [9] Kaibo Zhou, Zhixin Zhang, Jie Liu, Zhongxu Hu, Xiaokun Duan, Qi Xu. Anode effect prediction based on a singular value thresholding and extreme gradient boosting approach[J]. Measurement Science and Technology, 2019, 30(1).. [10] Kaibo Zhou, Shuo Zhang, Zhen Huang, Jianyu Zhang. An improved TSVD-GCV inversion algorithm of pore size distribution in time-domain induced polarization using migration Hankel matrix[J]. Journal of Petroleum Science and Engineering, 2019..