Nicholas I-Hsien Kuo

According to our database, Nicholas I-Hsien Kuo authored at least 19 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

PRIME-CVD: A Parametrically Rendered Informatics Medical Environment for Education in Cardiovascular Risk Modelling.

Nicholas I-Hsien Kuo, Marzia Hoque Tania, Blanca Gallego, Louisa Jorm

CoRR, March, 2026

2025

Limits of Generative Pre-Training in Structured EMR Trajectories with Irregular Sampling.

Nicholas I-Hsien Kuo, Blanca Gallego, Louisa Jorm

CoRR, October, 2025

Generative AI mitigates representation bias and improves model fairness through synthetic health data.

Raffaele Marchesi, Nicolo Micheletti, Nicholas I-Hsien Kuo, Sebastiano Barbieri, Giuseppe Jurman, Venet Osmani

PLoS Comput. Biol., 2025

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

J. Biomed. Informatics, 2025

Masked Clinical Modelling: A Framework for Synthetic and Augmented Survival Data Generation.

Nicholas I-Hsien Kuo, Blanca Gallego, Louisa R. Jorm

Proceedings of the MEDINFO 2025 - Healthcare Smart × Medicine Deep, 2025

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

Hands-On NLP with Hugging Face: ALTA 2024 Tutorial on Efficient Fine-Tuning and Quantisation.

Nicholas I-Hsien Kuo

Proceedings of the 22nd Annual Workshop of the Australasian Language Technology Association, 2024

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, August, 2023

Synthetic Health-related Longitudinal Data with Mixed-type Variables Generated using Diffusion Models.

Nicholas I-Hsien Kuo, Louisa Jorm, Sebastiano Barbieri

CoRR, 2023

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

Proceedings of the MEDINFO 2023 - The Future Is Accessible, 2023

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

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

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

Plastic and Stable Gated Classifiers for Continual Learning.

Nicholas I-Hsien Kuo, Mehrtash Harandi, Nicolas Fourrier, Christian Walder, Gabriela Ferraro, Hanna Suominen

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

Learning to Continually Learn Rapidly from Few and Noisy Data.

Nicholas I-Hsien Kuo, Mehrtash Harandi, Nicolas Fourrier, Christian Walder, Gabriela Ferraro, Hanna Suominen

Proceedings of the AAAI Workshop on Meta-Learning and MetaDL Challenge, 2021

2020

MTL2L: A Context Aware Neural Optimiser.

Nicholas I-Hsien Kuo, Mehrtash Harandi, Nicolas Fourrier, Christian Walder, Gabriela Ferraro, Hanna Suominen

CoRR, 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

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

M²SGD: Learning to Learn Important Weights.

Nicholas I-Hsien Kuo, Mehrtash Harandi, Nicolas Fourrier, Christian Walder, Gabriela Ferraro, Hanna Suominen

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

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

Proceedings of the 18th Annual Workshop of the Australasian Language Technology Association, 2020