Dongdong Zhou — accepted AI-conference papers

2026

ULW-SLEEPNET: AN ULTRA-LIGHTWEIGHT NETWORK FOR MULTIMODAL SLEEP STAGE SCORING

Zhaowen Wang, Dongdong Zhou, Mohammad Al-Sa’d, Raitoharju Jenni

ICASSP 2026poster

Automatic sleep stage scoring is crucial for the diagnosis and treatment of sleep disorders. Although deep learning models have advanced the field, many existing models are computationally demanding and designed for single-channel electroencephalography (EEG), limiting their practicality for multimo…

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2025

Self-cross Feature based Spiking Neural Networks for Efficient Few-shot Learning

Qi Xu, Junyang Zhu, Dongdong Zhou, Hao Chen, Yang Liu, Jiangrong Shen +1

ICML 2025poster

Deep neural networks (DNNs) excel in computer vision tasks, especially, few-shot learning (FSL), which is increasingly important for generalizing from limited examples. However, DNNs are computationally expensive with scalability issues in real world. Spiking Neural Networks (SNNs), with their even…

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