Kangning Cui
Machine Learning • Image and Signal Processing • Remote Sensing • Healthcare Applications

Kangning Cui

I develop efficient machine learning and computer vision methods for real-world scientific problems, with current interests spanning remote sensing, ecological monitoring, medical imaging, and data-centric AI.

Feel free to contact me for collaborations.

WFU Site Email Github LinkedIn Google Scholar ORCID Scopus ResearchGate

Roles

Starting
07/2026
City University of Hong Kong (Dongguan)
Incoming Assistant Professor
08/2025 - Present
Wake Forest University
Research Assistant Professor, Department of Computer Science
08/2025 - Present
Andrew Sabin Family Center for Environment and Sustainability
Robert J. Plemmons Fellow
09/2022–07/2024
Society for Industrial and Applied Mathematics
Founding President, SIAM Student Chapter at CityU

Led chapter formation and activities connecting applied mathematics, machine learning, and student research culture.

Education

2021–2025
Ph.D. in Mathematics
City University of Hong Kong & Hong Kong Centre for Cerebro-Cardiovascular Health Engineering

Focused on machine learning and deep learning in computer vision, with applications in medicine and remote sensing.

2024–2025
Visiting DPhil Student in Biomedical Engineering
University of Oxford

Worked on deep learning-based ultrasound video analysis and medical imaging workflows.

2017–2021
B.S. in Computing Mathematics
City University of Hong Kong

Graduated with First Class Honours and a minor in Computer Science.

2020
Visiting B.S. in Applied Mathematics
Delft University of Technology

Studied applied mathematics during an exchange term in the Netherlands.

Recent News

[03/2026]
The paper "From Orthomosaics to Raw UAV Imagery: Enhancing Palm Detection and Crown-Center Localization" was accepted by IGARSS 2026.
[03/2026]
The paper "Superpixel-level Hypergraph Regularized Multi-view Clustering for Hyperspectral Images" was accepted by IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens..
[01/2026]
The paper "Center-guided Classifier for Semantic Segmentation of Remote Sensing Images" was accepted by IEEE Trans. Geosci. Remote Sens..
[01/2026]
The paper "Cott-ADNet: Lightweight Real-Time Cotton Boll and Flower Detection Under Field Conditions" was accepted by WACV HARVEST Workshop.
[06/2025]
The paper "Efficient Localization and Spatial Distribution Modeling of Canopy Palms Using UAV Imagery" was accepted by IEEE Trans. Geosci. Remote Sens..
[06/2025]
The paper "Toward Efficient UAV-Based Small Object Detection: A Lightweight Network with Enhanced Feature Fusion" was accepted by Remote Sens..
[05/2025]
The paper "Latent Motion Profiling for Annotation-free Cardiac Phase Detection in Adult and Fetal Echocardiography Videos" was accepted by MICCAI 2025.
[05/2025]
The paper "Blind Restoration of High-Resolution Ultrasound Video" was accepted by MICCAI 2025.
[04/2025]
The paper "Detection and Geographic Localization of Natural Objects in the Wild: A Case Study on Palms" was accepted by IJCAI 2025.

Visitors

Visitor Map