Zhao Caidan
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- Associate professor
- Supervisor of Master's Candidates
- Name (Pinyin):Zhao Caidan
- E-Mail:
- School/Department:信息学院
- Administrative Position:系副主任
- Education Level:博士研究生毕业
- Business Address:厦门大学翔安校区信息学院6号楼203
- Degree:Doctor of Engineering (D.Eng.)
- Professional Title:Associate professor
- Status:在职
- Academic Titles:网络空间安全系
- Alma Mater:厦门大学
- Teacher College:School of Information
- Discipline:信息与通信工程
通信与信息系统
信号与信息处理
Contact Information
- ZipCode：
- PostalAddress：
- Email：
- Paper Publications
- Zhao Caidan.Anomalous Sound Detection Framework Based on Masking Strategy.Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics),14880 LNAI287-298.
- Zhao Caidan.Data Augmentation Aided Automatic Modulation Recognition Using Diffusion Model.IEEE Wireless Communications and Networking Conference, WCNC,
- Zhao Caidan,Video Anomaly Detection Framework Based on Motion Consistency.Proceedings of the 2024 27th International Conference on Computer Supported Cooperative Work in Design, CSCWD 2024,802-807.
- Zhao Caidan.RF Fingerprint Recognition for Different Receiving Devices Using Transfer Learning.Proceedings of the 2024 27th International Conference on Computer Supported Cooperative Work in Design, CSCWD 2024,1887-1892.
- Zhao Caidan,Sand-Dust Image Enhancement Based on Multi-Dimensional Weighting.SSRN,2024,
- Zhao Caidan,A Cross-Scale Embedding Based Fusion Transformer for Automatic Modulation Recognition.IEEE Communications Letters,28(1):1-1.
- Zhao Caidan.Synthetic Pseudo Anomalies for Unsupervised Video Anomaly Detection: A Simple Yet Efficient Framework Based on Masked Autoencoder.ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings,2023-June
- Zhao Caidan.Lightweight Image Dehazing Algorithm Based on Detail Feature Enhancement.Proceedings of the 2023 26th International Conference on Computer Supported Cooperative Work in Design, CSCWD 2023,1538-1543.
- Zhao Caidan.Multi-Level Memory-Augmented Appearance-Motion Correspondence Framework for Video Anomaly Detection.Proceedings - IEEE International Conference on Multimedia and Expo,2023-July2717-2722.
- Zhao Caidan.A Video Anomaly Detection Framework Based on Appearance-Motion Semantics Representation Consistency.ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings,