![]()
涂晓彤
-
副教授
- 所在单位：信息学院
- 学历：博士研究生毕业
- 办公地点：信息学院6号楼211室
- 性别：男
- 学位：工学博士学位
- 在职信息：在职
- 毕业院校：上海交通大学
- 2021-01曾获荣誉当选：福建省高层次引进人才C类
访问量：
-
[1]涂晓彤,Learning an interpretable end-to-end network for real-time acoustic beamforming.Journal of Sound and Vibration,2024,591
-
[2]涂晓彤.Leveraging Foreground Collaboration and Augmentation for Industrial Anomaly Detection.IEEE Sensors Journal,1-1.
-
[3]涂晓彤,Self-Supervised Image Denoising Using Implicit Deep Denoiser Prior.THIRTY-SEVENTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, VOL 37 NO 2,1586-1594.
-
[4]涂晓彤.Source-free cross-domain fault diagnosis of rotating machinery using the Siamese framework.Knowledge-Based Systems,2024,300
-
[5]涂晓彤.IMPLICIT FOREGROUND-GUIDED NETWORK FOR ANOMALY DETECTION AND LOCALIZATION.ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings,2970-2974.
-
[6]涂晓彤.Learning to sound imaging by a model-based interpretable network.Signal Processing,2023,215
-
[7]涂晓彤,Adaptive sparse estimation of nonlinear chirp signals using Laplace priors.JOURNAL OF THE ACOUSTICAL SOCIETY OF AMERICA,2023,155(1):78-93.
-
[8]涂晓彤.Learning an Interpretable End-to-End Network for Real-Time Acoustic Beamforming.arXiv,2023,
-
[9]涂晓彤.Hint-Dynamic Knowledge Distillation.ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings,2023-June
-
[10]涂晓彤.Time-frequency analysis-based impulse feature extraction method for quantitative evaluation of milling tool wear.Structural Health Monitoring,
