Projects per year
Personal profile
Personal profile
Dr Ying Weng is Associate Professor, Computer Science Course Director in School of Computer Science at University of Nottingham Ningbo. Before joining as Assistant Professor at Bangor University, UK in 2011, she worked on the International Standardisation in the British Broadcasting Corporation, London, UK; Postdoctoral research at Imperial College, London, UK; the European Framework Programme-6 Project coordinated by Fraunhofer Institute, Germany; the China Major State Research Development Programme 973 Project in the Chinese Academy of Sciences, Beijing, China. She Received PhD in Signal & Information Processing from the Chinese Academy of Sciences, Beijing, China in 2005.
Expertise Summary
Big Data on Image/Video Processing; Computer Vision; Machine Learning; Internet of Things; Multimedia Security & Forensics; Security & QoS in Wireless Networks.
Professional membership
Fellow HEA (Higher Education Academy)
Teaching
I have taught and developed courses both at postgraduate and undergraduate levels:
Software Engineering (Undergraduate)
Systems & Architecture (Undergraduate)
Computer Security (Undergraduate)
Data & Network Communications (Postgraduate)
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Dive into the research topics where Ying Weng is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
Network
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
Projects
- 1 Finished
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Deep-Learning based Multi-Camera Calibration in Laparoscopy
1/12/18 → 30/11/21
Project: Government Funded Projects › Vertical-Ningbo Municipal Government Funded Projects
Research output
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An intelligent early warning system of analyzing Twitter data using machine learning on COVID-19 surveillance in the US
Zhang, Y., Chen, K., Weng, Y., Chen, Z., Zhang, J. & Hubbard, R., 15 Jul 2022, In: Expert Systems with Applications. 198, 116882.Research output: Journal Publication › Article › peer-review
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Applications of Explainable Artificial Intelligence in Diagnosis and Surgery
Zhang, Y., Weng, Y. & Lund, J., Feb 2022, In: Diagnostics. 12, 2, 237.Research output: Journal Publication › Article › peer-review
Open Access1 Citation (Scopus) -
Curve based fast detail enhancement for biomedical images
Fei, R., Weng, Y., Zhang, Y. & Lund, J., 2021, VISAPP. Farinella, G. M., Radeva, P., Braz, J. & Bouatouch, K. (eds.). SciTePress, p. 337-343 7 p. (VISIGRAPP 2021 - Proceedings of the 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications; vol. 4).Research output: Chapter in Book/Conference proceeding › Conference contribution › peer-review
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Linking reservoir ecosystems research to the sustainable development goals
Guo, Z., Boeing, W. J., Borgomeo, E., Xu, Y. & Weng, Y., 10 Aug 2021, In: Science of the Total Environment. 781, 146769.Research output: Journal Publication › Review article › peer-review
5 Citations (Scopus) -
The role and impact of deep learning methods in computer-aided diagnosis using gastrointestinal endoscopy
Pang, X., Zhao, Z. & Weng, Y., Apr 2021, In: Diagnostics. 11, 4, 694.Research output: Journal Publication › Review article › peer-review
Open Access2 Citations (Scopus)