Obstructive Sleep Apnea Detection Using Difference in Feature and Modified Minimum Distance Classifier. - Wen Shi; Bing Xue 003; Shuli Guo; Daniel Y. T. Goh; Wee Ser (EMBC, 2018)

KerGM: Kernelized Graph Matching. - Zhen Zhang 007; Yijian Xiang; Lingfei Wu 001; Bing Xue 003; Arye Nehorai (NeurIPS, 2019)

Multi-horizon prediction for extracorporeal support in COVID-19 patients. - Bing Xue 003; Neel Shah; Hanqing Yang 005; Charles Ziegenbein; Thomas George Kannampallil; Philip R. O. Payne; Chenyang Lu 001; Ahmed Sameh Said (AMIA, 2021)

Self-explaining Hierarchical Model for Intraoperative Time Series. - Dingwen Li; Bing Xue 003; Christopher Ryan King; Bradley A. Fritz; Michael Avidan; Joanna Abraham; Chenyang Lu 001 (ICDM, 2022)

Perioperative Predictions with Interpretable Latent Representation. - Bing Xue 003; York Jiao; Thomas George Kannampallil; Bradley A. Fritz; Christopher Ryan King; Joanna Abraham; Michael Avidan; Chenyang Lu 001 (KDD, 2022)

Distance-Based Detection of Cough, Wheeze, and Breath Sounds on Wearable Devices. - Bing Xue 003; Wen Shi; Sanjay H. Chotirmall; Vivian Ci Ai Koh; Yi Yang Ang; Rex Xiao Tan; Wee Ser (Sensors, 2022)

Assisting Clinical Decisions for Scarcely Available Treatment via Disentangled Latent Representation. - Bing Xue 003; Ahmed Sameh Said; Ziqi Xu 002; Hanyang Liu; Neel Shah; Hanqing Yang 005; Philip R. O. Payne; Chenyang Lu 001 (KDD, 2023)

Integrating machine learning predictions for perioperative risk management: Towards an empirical design of a flexible-standardized risk assessment tool. - Joanna Abraham; Brian Bartek; Alicia Meng; Christopher Ryan King; Bing Xue 003; Chenyang Lu 001; Michael S. Avidan (J. Biomed. Informatics, 2023)

Multi-horizon predictive models for guiding extracorporeal resource allocation in critically ill COVID-19 patients. - Bing Xue 003; Neel Shah; Hanqing Yang 005; Thomas George Kannampallil; Philip Richard Orrin Payne; Chenyang Lu 001; Ahmed Sameh Said (J. Am. Medical Informatics Assoc., 2023)

Prescribing Large Language Models for Perioperative Care: What's The Right Dose for Pre-trained Models? - Bing Xue 003; Charles Alba; Joanna Abraham; Thomas George Kannampallil; Chenyang Lu 001 (CoRR, 2024)

A novel generative multi-task representation learning approach for predicting postoperative complications in cardiac surgery patients. - Junbo Shen; Bing Xue 003; Thomas George Kannampallil; Chenyang Lu 001; Joanna Abraham (J. Am. Medical Informatics Assoc., 2025)

The foundational capabilities of large language models in predicting postoperative risks using clinical notes. - Charles Alba; Bing Xue 003; Joanna Abraham; Thomas George Kannampallil; Chenyang Lu 001 (npj Digit. Medicine, 2025)