XIAO YUE

AI / MACHINE LEARNING RESEARCHER

AUBURN HILLS, Michigan

AI/ML researcher and Ph.D. candidate specializing in graph neural networks, explainable AI, semantic retrieval, and applied machine learning for cybersecurity and manufacturing. Published work spans graph learning, explainable AI, cybersecurity, and applied machine learning, with experience building user-facing AI systems from research design and controlled evaluation.

Graph neural networks

graph representation learning

contrastive and self-supervised learning

generative models

clustering

classification

regression

Explainable AI (XAI)

interpretable graph modeling

robust machine learning

Retrieval-Augmented Generation (RAG)

semantic retrieval

graph-based retrieval

graph-text alignment

Python

MATLAB

SQL

PyTorch

scikit-learn

Hugging Face Transformers

Git

Docker

Streamlit

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