Zeyu Fu
Lecturer (Assistant Professor) in Computer Vision
Department of Computer Science, University of Exeter
Biography
Zeyu Fu is a Lecturer (Assistant Professor) in Computer Vision at Department of Computer Science, University of Exeter.
Before that he was a postdoctoral researcher at the Department of Engineering Science, University of Oxford, and was a member of Oxford Biomedical Image Analysis (BioMedIA) group, advised by Prof Alison Noble and Dr Michael Suttie. He worked on a NIH funded project which is conjunction with Collaborative Initiative on Fetal Alcohol Spectrum Disorders (CIFASD), to develop a fully automated, objective evaluation of facial features associated with FASD, utilizing 3D surface modelling, deep learning and shape analysis. He also worked on an ERC funded project named Perception Ultrasound by Learning Sonographic Experience (PULSE), which aims to develop multi-modal machine learning and computer vision systems that can model the sonograher’s expertise to reduce the need for highly trained ultrasound operators.
He was a research assistant at the School of Engineering, Newcastle University, advised by Prof Satnam Dlay. He worked on a MRC-CiC sponsored project to apply cutting edge non-contact ocular imaging, and machine/deep learning techniques to find a means of improving diagnosis of the most common medical complication of pregnancy, pre-eclamptic toxaemia. At the same institution, he obtained the Ph.D. degree in signal processing and machine learning and was a member of Signal Processing and AI research group, advised by Prof Jonathon Chambers and Dr Mohsen Naqvi. He worked on a DSTL & EPSRC funded project of ‘Signal Processing Solutions for the Networked Battlespace’ and was part of the LSSCN Contortium of University Defence Research Collaboration (UDRC), where he developed novel data association algorithms for multiple human tracking in video.
- Computer Vision
- Machine Learning
- Medical Image Analysis
- AI for Healthcare
- Information Fusion
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PhD in Signal Processing and Machine Learning, 2019
Newcastle University, UK
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BEng (first-class) in Electrical and Electronics Engineering, 2015
Newcastle University, UK
Prospective Students/Researchers
Highly self-motivated UG/MSc/PhD students, research fellows, and visiting students/scholars with any of above interests are welcomed to join my team. Please drop me email with your CV and research interests if you are interested in working with me.
Funded/Self-funded PhD Oppurtinies:
- China Scholarship Council (CSC) and University of Exeter PhD Scholarships (50 full PhD studentships per year)
- College of Engineering, Mathematics and Physical Sciences Studentships
- Doctoral Training Partnerships and other funded centres
- Self-funded research project opportunities
Postdoc Fellowship Funding Schemes:
News
Jun 2022:
- Zeyu joins the University of Exeter as a Lecturer (Assistant Professor) in Computer Vision.
Jan 2022:
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A paper named “A Two-Stream Information Fusion Approach to Abnormal Event Detection in Video” in colloboration with Newcastle University is accepted to the IEEE ICASSP 2022.
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A paper named “End-to-end First Trimester Fetal Ultrasound Video Automated CRL and NT Segmentation” from the PULSE project is accepted to the IEEE ISBI 2022.
Sep 2021:
- A paper named “Facial Anatomical Landmark Detection using Regularized Transfer Learning with Application to Fetal Alcohol Syndrome Recognition” from the CIFASD project is accepted to the IEEE Journal of Biomedical and Health Informatics.
Aug 2021:
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A paper named “Video Anomaly Detection for Surveillance Based on Effective Frame Area” in colloboration with Newcastle University is accepted to the IEEE FUSION 2021.
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A paper named “Skeleton-based Fall Events Classification with Data Fusion” in colloboration with Newcastle University is accepted to the IEEE MFI 2021.
Apr 2021:
- We organize the A-AFMA Challenge workshop in IEEE ISBI 2021. Congratulations again to the winners! Thanks for all of your participation and inputs to our workshop!
Oct 2020:
- Zeyu presented the paper named “Cross-Task Representation Learning for Anatomical Landmark Detection” from the CIFASD project at MICCAI-MLMI 2020.
Recent Publications
A more detailed publication list can be found in Google Scholar.
Research Experience
Teaching Experience
Modules include:
- EEE Stage II Laboratories
- EEE3004-Digital & Intelligent Signal Processing
Supervision of MSC/UG students
Professional Services
Organizing Commitee：
- 2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI), A-AFMA Challenge workshop.
Journal Reviewer：
- IEEE Transactions on Multimedia, IEEE Transactions on Signal Processing, Signal Processing (Elsevier), Medical Image Analysis (Elsevier), IEEE Journal of Biomedical and Informatics, IEEE Access, IET Image Processing, Sensors (MDPI) and Journal of Obstetrics & Gynaecology.
Conference Reviewer：
- MIUA, MICCAI and ICASSP.
Membership：
- Member, Institute of Electrical and Electronics Engineers (IEEE)
Accomplishments & Awards
Contact
- z.fu@exeter.ac.uk
- University of Exeter, Exeter, Devon EX4 4RN