Kangning Cui
Computer Vision • Signal Processing • LLM • Geoscience • Healthcare

Kangning Cui

I develop efficient, explainable, and structure-aware machine learning methods for computer vision, signal processing, and large language models, with applications in geoscience and healthcare.

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

Open positions: PhD positions are available at CityU, and research assistant positions are available at CityU-DG. For CityU-DG opportunities, feel free to email me to discuss potential projects. See Team for details.

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Kangning Cui

Roles

2026–Present
City University of Hong Kong (Dongguan)
Assistant Professor
2025–Present
Andrew Sabin Family Center for Environment and Sustainability
Robert J. Plemmons Fellow
2025–2026
Wake Forest University
Research Assistant Professor, Department of Computer Science

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

[08/2026]
The paper "Target-Aware Calibration Data Selection for Preserving Uncertainty in Quantized Language Models" was accepted by Findings of EMNLP 2026.
[08/2026]
The paper "GeoTALOS: A Geoscience Platform for Automated Landscape Observation and Spatial Analysis" was accepted by SIGSPATIAL 2026.
[06/2026]
The paper "JassidNet as a Quantization-Aware Lightweight Phenotyping Framework for High-Throughput Cotton Jassid (Amrasca biguttula) Detection and Counting Toward Objective Resistance Screening" was accepted by Ind. Crops Prod..
[04/2026]
The paper "DecodeShare: Tracing the Shared Subspace 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..