About
Contact & Profiles
Research Areas
- Advanced Neural Network Applications
- Infrastructure Maintenance and Monitoring
- Industrial Vision Systems and Defect Detection
- Machine Learning and Data Classification
- Dental Radiography and Imaging
- Oral microbiology and periodontitis research
- Non-Destructive Testing Techniques
- Video Surveillance and Tracking Methods
- Visual Attention and Saliency Detection
- Advanced X-ray and CT Imaging
- Dental Research and COVID-19
- 3D Shape Modeling and Analysis
Southeast University
2024
China Jiliang University
2021-2022
10.1016/j.jdent.2022.104076
article
EN
Journal of Dentistry
2022-02-23
10.1016/j.measurement.2025.116920
article
EN
Measurement
2025-02-07
10.1007/s10845-021-01864-2
article
EN
Journal of Intelligent Manufacturing
2021-11-09
Aiming at the abnormality detection of industrial insert molding processes, a lightweight but effective deep network is developed based on X-ray images in this study. The captured digital radiography (DR) are firstly fast guide filtered, and then multi-task dataset constructed using an overlap slice order to improve tiny targets. proposed extended from one-stage target method yolov5 be applicable DR defect detection. We adopt embedded Ghost module replace standard convolution further lighten...
10.3390/s21165612
article
EN
cc-by
Sensors
2021-08-20
10.1109/tii.2024.3452178
article
EN
IEEE Transactions on Industrial Informatics
2024-01-01
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