Sheng Wong

According to our database, Sheng Wong authored at least 8 papers between 2020 and 2025.

Collaborative distances:

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

2025

Large language models surpass domain-specific architectures for antepartum electronic fetal monitoring analysis.

Sheng Wong, Ravi Shankar, Beth Albert, Gabriel Davis Jones

CoRR, September, 2025

Energy Landscapes Enable Reliable Abstention in Retrieval-Augmented Large Language Models for Healthcare.

Ravi Shankar, Sheng Wong, Lin Li, Magdalena Bachmann, Alex Silverthorne, Beth Albert, Gabriel Davis Jones

CoRR, September, 2025

CleanCTG: A Deep Learning Model for Multi-Artefact Detection and Reconstruction in Cardiotocography.

Sheng Wong, Beth Albert, Gabriel Davis Jones

CoRR, August, 2025

Channel-annotated deep learning for enhanced interpretability in EEG-based seizure detection.

Sheng Wong, Anj Simmons, Jessica Rivera-Villicana, Scott Barnett, Shobi Sivathamboo, Piero Perucca, Zongyuan Ge, Patrick Kwan, Levin Kuhlmann, Terence J. O'Brien

Biomed. Signal Process. Control., 2025

2024

Fine-Tuning or Fine-Failing? Debunking Performance Myths in Large Language Models.

Scott Barnett, Zach Brannelly, Stefanus Kurniawan, Sheng Wong

CoRR, 2024

2023

Estimating Patient-Level Uncertainty in Seizure Detection Using Group-Specific Out-of-Distribution Detection Technique.

Sheng Wong, Anj Simmons, Jessica Rivera-Villicana, Scott Barnett

Sensors, October, 2023

MLGuard: Defend Your Machine Learning Model!

Sheng Wong, Scott Barnett, Jessica Rivera-Villicana, Anj Simmons, Hala Abdelkader, Jean-Guy Schneider, Rajesh Vasa

Proceedings of the 1st International Workshop on Dependability and Trustworthiness of Safety-Critical Systems with Machine Learned Components, 2023

2020

Computationally Efficient Epileptic Seizure Prediction based on Extremely Randomised Trees.

Sheng Wong, Levin Kuhlmann

Proceedings of the Australasian Computer Science Week, 2020