معرفی
Xingquan Zhu is Professor in the Department of Electrical Engineering and Computer Science at Florida Atlantic University. His PhD in Computer Science is from Fudan University. Research specializes in data mining, machine learning, and bioinformatics with significant NSF funding.
Current projects:
- KMELIN: Knowledge Mining for Dynamic Networks (NSF IIS-1763452)
- COVID-19 knowledge base construction (NSF IIS-2027339)
- AI Deep Learning Laboratory development (NSF CNS-1828181)
Publications focus on graph neural networks, time series mining, and ML applications in healthcare fraud detection and cancer diagnostics. Recent work emphasizes physics-guided neural models and fairness in continual learning systems.
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