Using K-Means Clustering Method with Doc2Vec to Understand the Twitter Users' Opinions on COVID-19 Vaccination. - Guanjin Wang; Stephen Wai Hang Kwok (BHI, 2021)

Coupling Machine Learning Models with Innovative Technology-based Screening Tool for Identifying Psychological Distress among Aboriginal Perinatal Mothers. - Stephen Wai Hang Kwok; Jayne Kotz; Tracy Reibel; Guanjin Wang; Roz Walker; Rhonda Marriott (EMBC, 2023)

Predicting Dementia Risk for Elderly Community Dwellers in Primary Care Services Using Subgroup-specific Prediction Models. - Stephen Wai Hang Kwok; Christine Sipka; Aled Matthews; Carol Pontes Lara; Guanjin Wang; Kup-Sze Choi (EMBC, 2023)

A Novel AUC Maximization Imbalanced Learning Approach for Predicting Composite Outcomes in COVID-19 Hospitalized Patients. - Guanjin Wang; Stephen Wai Hang Kwok; Muhammed Yousufuddin; Ferdous Sohel (IEEE J. Biomed. Health Informatics, 2023)

A deep multi-view imbalanced learning approach for identifying informative COVID-19 tweets from social media. - Kok Kiang Long; Stephen Wai Hang Kwok; Jayne Kotz; Guanjin Wang (Comput. Biol. Medicine, 2023)

An AUC-maximizing classifier for skewed and partially labeled data with an application in clinical prediction modeling. - Guanjin Wang; Stephen Wai Hang Kwok; Daniel Axford; Muhammed Yousufuddin; Ferdous Sohel (Knowl. Based Syst., 2023)

Artificial intelligence in perinatal mental health research: A scoping review. - Stephen Wai Hang Kwok; Yuanpeng Zhang; Guanjin Wang (Comput. Biol. Medicine, 2024)