Interactive Deep Metric Learning for Healthcare Cohort Discovery. - Yang Wang 002; Guodong Long; Xueping Peng; Allison Clarke; Robin Stevenson; Leah Gerrard (AusDM, 2019)

A Green Pipeline for Out-of-Domain Public Sentiment Analysis. - Ming Xie; Jing Jiang 002; Tao Shen 001; Yang Wang 002; Leah Gerrard; Allison Clarke (ADMA, 2021)

Federated Learning for Privacy-Preserving Open Innovation Future on Digital Health. - Guodong Long; Tao Shen 001; Yue Tan; Leah Gerrard; Allison Clarke; Jing Jiang 002 (CoRR, 2021)

Predicting Outcomes for Cancer Patients with Transformer-Based Multi-task Learning. - Leah Gerrard; Xueping Peng; Allison Clarke; Clement Schlegel; Jing Jiang 002 (AI, 2022)

Machine Teaching-Based Efficient Labelling for Cross-unit Healthcare Data Modelling. - Yang Wang 002; Xueping Peng; Allison Clarke; Clement Schlegel; Jing Jiang 002 (AI, 2022)

Multi-level Transformer for Cancer Outcome Prediction in Large-Scale Claims Data. - Leah Gerrard; Xueping Peng; Allison Clarke; Guodong Long (ADMA (3), 2023)

Soft Prompt Transfer for Zero-Shot and Few-Shot Learning in EHR Understanding. - Yang Wang 002; Xueping Peng; Tao Shen 001; Allison Clarke; Clement Schlegel; Paul Martin 014; Guodong Long (ADMA (3), 2023)

Claimsformer: Pretrained Transformer for Administrative Claims Data to Predict Chronic Conditions. - Leah Gerrard; Xueping Peng; Allison Clarke; Guodong Long (AI (2), 2024)