Xinhe Zhang
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Biography and Research Information
OverviewAI-generated summary
Xinhe Zhang's research focuses on the application of artificial intelligence and machine learning to biological and medical data analysis. Recent work includes developing explainable multi-task learning models for multi-modality biological data and creating AI agents for spike sorting and universal behavior analysis. Zhang has also investigated the use of simulated data for object detection in autonomous systems and explored the link between imitation, external knowledge search, and innovation systems in China.
Further research interests involve the use of flexible nanoelectronics to study arrhythmogenesis in transplanted human cardiomyocytes and the electrical maturation of human islet cells. Zhang's scholarly contributions are reflected in an h-index of 4, with 35 total publications and 163 citations. Key collaborators include Na Li and Yuyang Zhang, both from Harding University Main Campus, with whom Zhang has co-authored shared publications.
Metrics
- h-index: 4
- Publications: 35
- Citations: 163
Selected Publications
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Error-In-Variables Methods for Efficient System Identification with Finite-Sample Guarantees (2025)
Collaboration Network
Top Collaborators
- Error-In-Variables Methods for Efficient System Identification with Finite-Sample Guarantees
- Error-In-Variables Methods for Efficient System Identification with Finite-Sample Guarantees
- Error-In-Variables Methods for Efficient System Identification with Finite-Sample Guarantees
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