An Automatic Vowel Space Generator for Language Learner Pronunciation Acquisition and Correction. - Xinyuan Chao; Charbel El-Khaissi; Nicholas I-Hsien Kuo; Priscilla Kan John; Hanna Suominen (ALTA, 2020)

M2SGD: Learning to Learn Important Weights. - Nicholas I-Hsien Kuo; Mehrtash Harandi; Nicolas Fourrier; Christian Walder; Gabriela Ferraro; Hanna Suominen (CVPR Workshops, 2020)

An Input Residual Connection for Simplifying Gated Recurrent Neural Networks. - Nicholas I-Hsien Kuo; Mehrtash Harandi; Nicolas Fourrier; Christian Walder; Gabriela Ferraro; Hanna Suominen (IJCNN, 2020)

MTL2L: A Context Aware Neural Optimiser. - Nicholas I-Hsien Kuo; Mehrtash Harandi; Nicolas Fourrier; Christian Walder; Gabriela Ferraro; Hanna Suominen (CoRR, 2020)

Learning to Continually Learn Rapidly from Few and Noisy Data. - Nicholas I-Hsien Kuo; Mehrtash Harandi; Nicolas Fourrier; Christian Walder; Gabriela Ferraro; Hanna Suominen (MetaDL@AAAI, 2021)

Plastic and Stable Gated Classifiers for Continual Learning. - Nicholas I-Hsien Kuo; Mehrtash Harandi; Nicolas Fourrier; Christian Walder; Gabriela Ferraro; Hanna Suominen (CVPR Workshops, 2021)

Synthetic Acute Hypotension and Sepsis Datasets Based on MIMIC-III and Published as Part of the Health Gym Project. - Nicholas I-Hsien Kuo; Mark N. Polizzotto; Simon Finfer; Louisa Jorm; Sebastiano Barbieri (CoRR, 2021)

The Health Gym: Synthetic Health-Related Datasets for the Development of Reinforcement Learning Algorithms. - Nicholas I-Hsien Kuo; Mark N. Polizzotto; Simon Finfer; Federico Garcia; Anders Sönnerborg; Maurizio Zazzi; Michael Böhm; Louisa Jorm; Sebastiano Barbieri (CoRR, 2022)

Generating Synthetic Clinical Data that Capture Class Imbalanced Distributions with Generative Adversarial Networks: Example using Antiretroviral Therapy for HIV. - Nicholas I-Hsien Kuo; Louisa Jorm; Sebastiano Barbieri (CoRR, 2022)

Rule-Based Natural Language Processing Pipeline to Detect Medication-Related Named Entities: Insights for Transfer Learning. - Zoie Shui-Yee Wong; Neil Waters; Nicholas I-Hsien Kuo; Jiaxing Liu (MedInfo, 2023)

Synthetic Health-related Longitudinal Data with Mixed-type Variables Generated using Diffusion Models. - Nicholas I-Hsien Kuo; Louisa Jorm; Sebastiano Barbieri (CoRR, 2023)

Generating synthetic clinical data that capture class imbalanced distributions with generative adversarial networks: Example using antiretroviral therapy for HIV. - Nicholas I-Hsien Kuo; Federico Garcia; Anders Sönnerborg; Michael Böhm; Rolf Kaiser; Maurizio Zazzi; Mark N. Polizzotto; Louisa Jorm; Sebastiano Barbieri (J. Biomed. Informatics, 2023)

Hands-On NLP with Hugging Face: ALTA 2024 Tutorial on Efficient Fine-Tuning and Quantisation. - Nicholas I-Hsien Kuo (ALTA, 2024)

Masked Clinical Modelling: A Framework for Synthetic and Augmented Survival Data Generation. - Nicholas I-Hsien Kuo; Blanca Gallego; Louisa Jorm (CoRR, 2024)

CK4Gen: A Knowledge Distillation Framework for Generating High-Utility Synthetic Survival Datasets in Healthcare. - Nicholas I-Hsien Kuo; Blanca Gallego; Louisa Jorm (CoRR, 2024)

Attention-Based Synthetic Data Generation for Calibration-Enhanced Survival Analysis: A Case Study for Chronic Kidney Disease Using Electronic Health Records. - Nicholas I-Hsien Kuo; Blanca Gallego; Louisa Jorm (CoRR, 2025)