170 Kessels Road
Nathan, QLD 4111
Australia
Griffith University
Brain diseases analysis, Graph Neural Networks
Electronic Health Record, Patient Outcome Prediction, Contrastive Self-supervised Learning, Time-aware Representation Learning
Algorithms on Graph Representation Learning, Efficient large-scale graph representation learning, Irregularity, Graph neural network
Representation Bias, graph contrastive learning, Calibration, fusion
Positive-unlabeled Learning, Label Disambiguation, Representation Learning
Recommender Systems, Fairness, trustworthiness
Large Language Models, Multiple Knowledge Graphs, LLM Reasoning.
Intelligent Transportation Systems, Graph Neural Networks, Machine Learning, Bicycling Volume Estimation, Sustainable Urban Transportation, Strava Metro Data Analysis
Radiology Report Generation, reinforcement learning, Preference Optimization, Multiple View
Selection Bias, Popularity Bias, Collision Bias, Causal Inference, Recommender Systems
