Yaoyu Zhang ⚡️
AI Research Projects
AI for Fire Safety Classification

AI for Fire Safety Classification
Research

Developed an AI-enabled user interface for time series classification to identify burning materials during fire incidents in real time.Designed robust distance-based and dictionary-based algorithms to classify burning materials with interpretable decision logic.Implemented domain-agnostic contrastive learning and adversarial latent space modeling with CNNs to enhance generalization under distributional shifts.
TSC for Smart Appliances – LG Electronics

TSC for Smart Appliances – LG Electronics
Industry

Built deep learning models to classify fabric types using washing machine sensor data. Applied domain generalization techniques to address distributional shifts and improve robustness.
Disease Prediction with Lipidomics

Disease Prediction with Lipidomics
Healthcare

Collaborated with the Baker Heart & Diabetes Institute to model chronic diseases, including diabetes and chronic kidney disease (CKD).Designed and enhanced a transfer learning framework for generalized linear models, building upon the Oracle Algorithm. Applied advanced machine learning and dimensionality reduction techniques to improve classification performance and model generalization.
Other Work
Standardization Strategy of Granular Computing

Standardization Strategy of Granular Computing
Publication

Co-authored a study on granular computing published in the International Journal of Cognitive Computing in Engineering. Investigated formalization strategies for computation and reasoning with information granules.