Sheng Wong

11 papers Misc 1Journal 8Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
Evaluating the Presence of Sex Bias in Clinical Reasoning by Large Language Models.
CoRR
Isabel Tsintsiper, Sheng Wong, Beth Albert, Shaun P. Brennecke, Gabriel Davis Jones
2025 J jnl
Channel-annotated deep learning for enhanced interpretability in EEG-based seizure detection.
Biomed. Signal Process. Control.
Sheng Wong, Anj Simmons, Jessica Rivera-Villicana, Scott Barnett, Shobi Sivathamboo, Piero Perucca, Zongyuan Ge, Patrick Kwan, Levin Kuhlmann, Terence J. O'Brien
2025 J jnl
CleanCTG: A Deep Learning Model for Multi-Artefact Detection and Reconstruction in Cardiotocography.
CoRR
Sheng Wong, Beth Albert, Gabriel Davis Jones
2025 J jnl
Energy Landscapes Enable Reliable Abstention in Retrieval-Augmented Large Language Models for Healthcare.
CoRR
Ravi Shankar, Sheng Wong, Lin Li, Magdalena Bachmann, Alex Silverthorne, Beth Albert, Gabriel Davis Jones
2025 J jnl
Large language models surpass domain-specific architectures for antepartum electronic fetal monitoring analysis.
CoRR
Sheng Wong, Ravi Shankar, Beth Albert, Gabriel Davis Jones
2024 Misc conf
A Novel Vision-Based Transformer for Seizure Detection with Multi-biosignals.
AusDM
Sheng Wong, Scott Barnett, Shobi Sivathamboo, Piero Perucca, Zongyuan Ge, Patrick Kwan, Levin Kuhlmann, Terence J. O'Brien
2024 J jnl
Fine-Tuning or Fine-Failing? Debunking Performance Myths in Large Language Models.
CoRR
Scott Barnett, Zach Brannelly, Stefanus Kurniawan, Sheng Wong
2023 J jnl
Estimating Patient-Level Uncertainty in Seizure Detection Using Group-Specific Out-of-Distribution Detection Technique.
Sensors
Sheng Wong, Anj Simmons, Jessica Rivera-Villicana, Scott Barnett
2023 — conf
MLGuard: Defend Your Machine Learning Model!
SE4SafeML@SIGSOFT FSE
Sheng Wong, Scott Barnett, Jessica Rivera-Villicana, Anj Simmons, Hala Abdelkader, Jean-Guy Schneider, Rajesh Vasa
2023 J jnl
MLGuard: Defend Your Machine Learning Model!
CoRR
Sheng Wong, Scott Barnett, Jessica Rivera-Villicana, Anj Simmons, Hala Abdelkader, Jean-Guy Schneider, Rajesh Vasa
2020 — conf
Computationally Efficient Epileptic Seizure Prediction based on Extremely Randomised Trees.
ACSW
Sheng Wong, Levin Kuhlmann