Publications (5)
Graph-Based Uncertainty-Aware Self-Training with Stochastic Node Labeling
Tom Liu, Anna Wu, Chao Li
Self-training has become a popular semi-supervised learning technique for leveraging unlabeled data. However, the over-confidence of pseudo-labels remains a key challenge. In this…
Multi-Factor Inception: What to Do with All of These Features?
Tom Liu, Stefan Zohren
Cryptocurrency trading represents a nascent field of research, with growing adoption in industry. Aided by its decentralised nature, many metrics describing cryptocurrencies are ac…
Deep Inception Networks: A General End-to-End Framework for Multi-asset Quantitative Strategies
Tom Liu, Stephen Roberts, Stefan Zohren
We introduce Deep Inception Networks (DINs), a family of Deep Learning models that provide a general framework for end-to-end systematic trading strategies. DINs extract time serie…
StenUNet: Automatic Stenosis Detection from X-ray Coronary Angiography
Hui Lin, Tom Liu, Aggelos Katsaggelos +1
Coronary angiography continues to serve as the primary method for diagnosing coronary artery disease (CAD), which is the leading global cause of mortality. The severity of CAD is q…
YOLO-Angio: An Algorithm for Coronary Anatomy Segmentation
Tom Liu, Hui Lin, Aggelos K. Katsaggelos +1
Coronary angiography remains the gold standard for diagnosis of coronary artery disease, the most common cause of death worldwide. While this procedure is performed more than 2 mil…