教育背景
2012.09－2016.07 重庆大学电子信息工程（本科）
2016.09－2019.07 厦门大学电子与通信工程（硕士）
工作经历
2019.07－2022.08 中国建设银行 金融科技专项人才
2022.08至今 best365英国体育在线信息科学与技术学院 专任教师
研究方向
人工智能，金融科技
个人技能
操作软件：Microsoft Office/Visio，Adobe PS/CS
编程语言：C/C++, Python, JAVA，Matlab
个人资格证书
CET-6，计算机二级，中级系统集成项目管理工程师
赛事学科竞赛经验
2018年研究生电子设计竞赛商业计划书专项赛团队全国二等奖
2018年创客中国电子信息与信息安全创新创业大赛三等奖
2014年“TI杯”全国大学生电子设计竞赛获本科组一等奖
发表论文
[1]Zhao, Caidan and Chen, Caiyun and He, Zeping and Wu, Zhiqiang. Application of Auxiliary Classifier Wasserstein Generative Adversarial Networks in Wireless Signal Classification of Illegal Unmanned Aerial Vehicles[J]. Applied Sciences. 2018, 8(12): 2664.
[2]Zhao, Caidan and Chen, Caiyun and Cai, Zhibiao and Shi, Mingxian and Du, Xiaojiang and Mohsen Guizani. Classification of Small UAVs based on Auxiliary Classifier Wasserstein GANs[C].//2018 IEEE Global Communications Conference (GLOBECOM), Abu Dhabi, Dec.9-13. 2018.
[3]Zhao, Caidan and Shi, Mingxian and Cai, Zhibiao and Chen, Caiyun. Research on the Open-Categorical Classification of the Internet-of-Things Based on Generative Adversarial Networks[J]. Applied Sciences. 2018, 8, 2351.
[4]Zhao, Caidan and Shi, Mingxian and Cai, Zhibiao and Chen, Caiyun. Detection of unmanned aerial vehicle signal based on Gaussian mixture model[C].//2017 International Conference on Computer Science and Education (ICCSE 2017), Philadelphia, PA, USA, 21–23 October 2017; pp. 289–293.
发明专利
[1]基于 hash 指纹的无人机信号识别检测算法，201611021193.4
[2]一种基于改进AC-WGANs的无人机信号识别检测算法，2018100228209.3