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张遨
讲师
计算机学院
个人邮箱：
azh@just.edu.cn
办公地点：
计算机学院511
通讯地址：
江苏省镇江市江苏科技大学长山校区计算机学院
邮政编码：
212003
传真：

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  • 个人简介

    张遨，男，博士，讲师，硕士研究生导师。主要研究方向为模式识别、图像处理、故障诊断等。主持江苏省产学研合作项目1项、横向项目2项，参与横向项目4项。以第一作者发表SCI论文5篇；授权软著、发明专利多项。



  • 研究方向

    模式识别、图像处理、故障诊断、字典学习等

  • 教育经历

  • 课程教学

    《计算机基础》《高级程序设计语言》等


    近年主要论文：

    [1] Ao Zhang, Liang Shi, Tensor Feature Extraction Method Based on Matrixed Label and Inpainting, IEEE Access, 2024，12: 153664-153675.
    [2] Linhao Li, Ao Zhang*, Supervised data-dependent kernel low-rank preserving projection for image recognition, in Proceedings of 5th International Conference on Intelligent Computing and Human-Computer Interaction (ICHCI), 2024
    [3] 周毅岩;石亮;张遨*;岳晓宇, 基于解纠缠表示学习的人脸反欺诈算法, 计算机应用研究,2024,41(8):2502-2507
    [4] Shuaishuai Zhang; Keyu Liu; Taihua Xu; Xibei Yang; Ao Zhang, A meta-heuristic feature selection algorithm combining random sampling accelerator and ensemble using data perturbation, Applied Intelligence, 2023, 53: 29781-29798
    [5] Ao Zhang; Xianwen Gao, Supervised dictionary-based transfer subspace learning and applications for fault diagnosis of sucker rod pumping systems, Neurocomputing, 2019, 338: 293-306
    [6] Ao Zhang; Xianwen Gao, Supervised data-dependent kernel sparsity preserving projection for image recognition, Applied Intelligence, 2018, 48(12): 4923-4936
    [7] Ao Zhang; Xianwen Gao ; Data-dependent kernel sparsity preserving projection and its application for semi-supervised classification, Multimedia Tools & Applications, 2018, 77(18): 24459-24475
    [8] Ao Zhang; Xianwen Gao ; Fault diagnosis of sucker rod pumping systems based on curvelet transform and sparse multi-graph regularized extreme learning machine, International Journal of Computational Intelligence Systems, 2018, 11(1): 428-437