Zheng Rong JIA
I learn for the future.
B.Sc. Software Engineering · Macau University of Science and Technology, 2025
Research Interests
Medical AI
Deep learning on EHR data for ICU risk stratification and clinical decision support
Predictive Modeling
Transformer-based temporal models for early warning systems in critical care
Health Informatics
Multicenter clinical databases, missing-data-aware architectures, reproducible pipelines
Explainable AI
Attention-based saliency and faithfulness evaluation for clinical interpretability
Digital Biomarkers
Feature importance analysis and physiological signal modeling for mortality prediction
Publications
News
- May 22–24, 2026 Received Best Industrial Paper Award & Best Presentation Award at CCAI 2026 — Nanjing.
- May 22–24, 2026 Attended CCAI 2026 in Nanjing — delivered oral presentation of DT-Transformer for Stroke Mortality Prediction. Slides and photos now available.
- May 2026 Finalizing the open-source release of the DT-Transformer framework for reproducible clinical AI research.
- Feb 2, 2026 Paper accepted at CCAI 2026 — Deep Learning for Stroke Mortality Prediction in eICU: A Dual-Tower Transformer Framework.
- Aug 2025 Earned B.Sc. in Software Engineering from Macau University of Science and Technology.
About
I am drawn to problems where machine learning meets real clinical stakes — where a model's failure is not an accuracy number but a missed diagnosis. My work focuses on building deep learning systems for electronic health records that are not only accurate, but interpretable and honest about their limits. I believe the most durable research is reproducible, open, and built with the long game in mind.