*
Automatic Differentiation and Optimization Package Development
Employ automatic differtiation and optimizers from scrach and published the package in pypi
Enhance Pretrained Model with Multiple Knowledge Integration
Enhance pretrained large language models to for multi-label prediction in healthcare context
Improving Fairness in Emergency Hospital Admission
Developed Multicalibrated Fairness methods and applied on Hospital admisison data
Machine Learning in Prostate Cancer
Build Machine Learning Models to predict Lymph-Node Metasis using NLP-based extracted features
Predicting the Ourbreak of WestNile Virus with Social-economical Factors
Machine Learning models to explain and predict the outbreak virus
Subjectivity Analysis of Clinical Notes
Using Large Language Model to predict the subjectivity of clinical notes