3 citations · 4 across the 3 of their papers we have counts for
3 papers
eess.SP2025
Approaching Low-Cost Cardiac Intelligence with Semi-Supervised Knowledge Distillation
Rushuang Zhou, Yuan-Ting Zhang, M. Jamal Deen +1
Deploying advanced cardiac artificial intelligence for daily cardiac monitoring is hindered by its reliance on extensive medical data and high computational resources. Low-cost car…
cs.LG2024★ 1 cited
CE-SSL: Computation-Efficient Semi-Supervised Learning for ECG-based Cardiovascular Diseases Detection
Rushuang Zhou, Lei Clifton, Zijun Liu +4
The label scarcity problem is the main challenge that hinders the wide application of deep learning systems in automatic cardiovascular diseases (CVDs) detection using electrocardi…
eess.SP2023★ 3 cited
EEGMatch: Learning with Incomplete Labels for Semi-Supervised EEG-based Cross-Subject Emotion Recognition
Rushuang Zhou, Weishan Ye, Zhiguo Zhang +7
Electroencephalography (EEG) is an objective tool for emotion recognition and shows promising performance. However, the label scarcity problem is a main challenge in this field, wh…