8 citations · 13 across the 5 of their papers we have counts for
5 papers
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…
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…
Semi-Supervised Learning for Multi-Label Cardiovascular Diseases Prediction:A Multi-Dataset Study
Rushuang Zhou, Lei Lu, Zijun Liu +5
Electrocardiography (ECG) is a non-invasive tool for predicting cardiovascular diseases (CVDs). Current ECG-based diagnosis systems show promising performance owing to the rapid de…
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…
PR-PL: A Novel Transfer Learning Framework with Prototypical Representation based Pairwise Learning for EEG-Based Emotion Recognition
Rushuang Zhou, Zhiguo Zhang, Hong Fu +7
Affective brain-computer interfaces based on electroencephalography (EEG) is an important branch in the field of affective computing. However, individual differences and noisy labe…