Kangning Cui

Kangning Cui

Assistant Professor of Data ScienceCity University of Hong Kong (Dongguan)

Office: AC4-422

Efficient and reliable machine learning.

I study model compression, uncertainty, and learning with limited labels across language models, geospatial data, and healthcare.

RA applications open. Join the group.All PhD positions through and including Fall 2027 have been filled.

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Kangning Cui
All research

Efficient & Reliable ML

Understanding the cost of compression

LowRankArena overview: evaluation challenges, a standardized SVD-compression platform, and findings on accuracy and inference efficiency

LowRankArena benchmarks compression quality and inference efficiency under shared evaluation settings.

NeurIPS'26, ED Track, Poster

Co-first author

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Geospatial AI

From aerial imagery to forest maps

PRISM workflow: aerial forest imagery, palm detection, segmentation, and geographic mapping

PRISM and PalmDSNet turn aerial imagery into palm locations and forest maps.

IJCAI'25, OralTGRS'25

Co-first and corresponding author

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Medical AI

Extending the reach of ECG models

Overview of extending frozen 10-second ECG foundation models to longer recordings with a lightweight plug-in module

A lightweight module extends pretrained ECG models to longer recordings without retraining the backbone.

NeurIPS'26, Poster

Co-author

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Recent News

[09/2026]
LowRankArena accepted at NeurIPS'26, ED Track, Poster.
[09/2026]
Extending ECG foundation models to longer recordings accepted at NeurIPS'26, Poster.
[08/2026]
DPQ: preserving uncertainty in quantized language models accepted at EMNLP'26, Findings. Paper.
Earlier news
[08/2026]
GeoTALOS, our geoscience platform, accepted at SIGSPATIAL'26.
[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.

Appointments

2026–Present
City University of Hong Kong (Dongguan)
Assistant Professor of Data Science
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

Medical and remote sensing image/signal analysis. Advisors: Prof. Raymond H. Chan and Prof. Jean-Michel Morel.

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

Ultrasound video analysis and biomedical imaging. Advisor: Prof. Alison Noble.

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

First Class Honours · Minor in Computer Science.

2020
Exchange Student, Applied Mathematics
Delft University of Technology

Delft, Netherlands.