Enhancing Progressive Diagnosis Prediction in Healthcare with Continuous Normalizing Flows.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024
BoxCare: A Box Embedding Model for Disease Representation and Diagnosis Prediction in Healthcare Data.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024
HOGDA: Boosting Semi-supervised Graph Domain Adaptation via High-Order Structure-Guided Adaptive Feature Alignment.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024
ExpertODE: Continuous Diagnosis Prediction with Expert Enhanced Neural Ordinary Differential Equations.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2024
Heterogeneous Hypergraph Structure Learning for Multimedia Recommendation.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2024
ECHO-GL: Earnings Calls-Driven Heterogeneous Graph Learning for Stock Movement Prediction.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
Exploring financially constrained small- and medium-sized enterprises based on a multi-relation translational graph attention network.
Frontiers Inf. Technol. Electron. Eng., March, 2023
Enhancing Personalized Healthcare via Capturing Disease Severity, Interaction, and Progression.
Proceedings of the IEEE International Conference on Data Mining, 2023
A trust-aware latent space mapping approach for cross-domain recommendation.
Neurocomputing, 2021
Leveraging Transitive Trust Relations to Improve Cross-Domain Recommendation.
IEEE Access, 2018