Computer Vision • Signal Processing • LLM • Geoscience • Healthcare

Kangning Cui

I develop efficient machine learning methods across computer vision, signal processing, large language models, geoscience, and healthcare.

I would be delighted to connect about collaborations, ideas, and opportunities to work together.

Wake Forest University Incoming CityU-DG

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Roles

2026–

City University of Hong Kong (Dongguan)

Incoming Assistant Professor

2025–Present

Wake Forest University

Research Assistant Professor, Department of Computer Science

2025–Present

Andrew Sabin Family Center for Environment and Sustainability

Robert J. Plemmons Fellow

Education

2021–2025

Ph.D. in Mathematics

City University of Hong Kong & Hong Kong Centre for Cerebro-Cardiovascular Health Engineering

Research in image and signal processing for medicine and remote sensing, advised by Prof. Raymond H. Chan and Prof. Jean-Michel Morel.

2024–2025

Visiting DPhil Student in Biomedical Engineering

University of Oxford

Research in ultrasound video analysis and biomedical imaging, advised by Prof. Alison Noble.

2017–2021

B.S. in Computing Mathematics

City University of Hong Kong

Training in computing mathematics with First Class Honours and a minor in Computer Science.

2020

Visiting B.S. in Applied Mathematics

Delft University of Technology

Exchange study in applied mathematics in the Netherlands.

Recent News

[04/2026]

The paper "DecodeShare: Tracing the Shared Pathways of LLM Decode-Time Decisions" was accepted by ICML 2026 (Spotlight).

[04/2026]

The paper "AwakeForest: An Interactive Geospatial Platform for Large-Scale Forest Imagery" was accepted by IJCAI Demo 2026.

[04/2026]

The paper "Learning Where to Embed: Noise-Aware Positional Embedding for Query Retrieval in Small-Object Detection" was accepted by ICMR 2026.

[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.