Xiaohua Wu
This is a likely match — the affiliation was inferred from OpenAlex, ORCID, and web sources but has not been fully confirmed. Treat with appropriate caution.
Researcher
Faculty Researcher
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Biography and Research Information
OverviewAI-generated summary
Xiaohua Wu's research focuses on the development of computational models for predicting and interpreting human happiness and personality. Wu has published work exploring factor interactions, explanation consistency, and domain knowledge integration in happiness prediction. Additional research includes computational personality analysis, emphasizing interpretability and explanation enhancement through multi-task learning. Wu also investigates the application of hybrid heuristic-Bayesian approaches for optimizing electrical converter efficiency. Wu's work contributes to understanding complex human factors and computational methods.
Metrics
- h-index: 5
- Publications: 15
- Citations: 98
Selected Publications
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Enhancing Interpretability for Computational Personality Analysis in Education (2025)
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- Enhancing Interpretability for Computational Personality Analysis in Education
- Enhancing Interpretability for Computational Personality Analysis in Education
- Enhancing Interpretability for Computational Personality Analysis in Education
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