Xue Li

AIR: Attentional Intention-Aware Recommender Systems

2019

The capability of extracting sequential patterns from the user-item interaction data is now becoming a key feature of recommender systems. Though it is important to capture the sequential effect, existing methods only focus on modelling …

IDDSAM: An Integrated Disease Diagnosis and Severity Assessment Model for Intensive Care Units

2020 · IEEE Access

People are admitted to intensive care units (ICUs) because they need complete support for failing organ systems, constant monitoring, routine nursing care, and treatment. A critical or intensive illness is different from conventional or chronic …

Artificial Intelligence in Evidence-based Medicine: Challenges and Opportunities

2023 · World Scientific Annual Review of Artificial Intelligence

Evidence-based Medicine (EBM) is facing a new challenge in applying Artificial Intelligence (AI) for better services. Here the fundamental question is: can AI be used as a human intelligence amplifier to make better evidence-based medical …

Research on High-Dynamic Tracking Algorithms for FH-BOC Signals

2024 · Preprints.org

With the development of Global Navigation Satellite Systems (GNSS), the quality and anti-jamming capability of satellite navigation signals are crucial. Binary Offset Carrier (BOC) modulation faces issues of false locking due to multi-peak ambiguity in …

Contrastive Federated Learning with Tabular Data Silos

2024 · arXiv (Cornell University)

Learning from vertical partitioned data silos is challenging due to the segmented nature of data, sample misalignment, and strict privacy concerns. Federated learning has been proposed as a solution. However, sample misalignment across silos often …