Xiaohua Wu Data-verified
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
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Biography and Research Information
OverviewAI-generated summary
Xiaohua Wu's research investigates computational methods for predicting and interpreting human happiness, drawing on domain knowledge and sociological insights. Wu's work explores factor interactions and decorrelation to enhance the consistency and interpretability of happiness predictions, as evidenced in publications from 2022 to 2025. This research also extends to computational personality analysis, aiming for interpretability in predictions. In parallel, Wu has explored advanced engineering topics, including a novel nonlinear control strategy for fuel cell systems in more electric aircraft and modulation strategies for single-stage inverters, with publications in these areas appearing in 2025. Wu's scholarship metrics include an h-index of 5, with 15 total publications and 95 total citations.
Metrics
- h-index: 5
- Publications: 15
- Citations: 98
Selected Publications
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Enhancing Interpretability for Computational Personality Analysis in Education (2025)
Collaboration Network
Top Collaborators
- Towards the Explanation Consistency of Citizen Groups in Happiness Prediction via Factor Decorrelation
- Happiness Prediction With Domain Knowledge Integration and Explanation Consistency
- Towards the Quantitative Interpretability Analysis of Citizens Happiness Prediction
- Computational Personality Analysis with Interpretability Empowered Prediction
- Aligning Bytes with Bliss: Integrating Happiness Computing with Sociological Insight
Showing 5 of 8 shared publications
- Quantitatively Interpreting Residents Happiness Prediction by Considering Factor–Factor Interactions
- Towards the Explanation Consistency of Citizen Groups in Happiness Prediction via Factor Decorrelation
- Happiness Prediction With Domain Knowledge Integration and Explanation Consistency
- Towards the Quantitative Interpretability Analysis of Citizens Happiness Prediction
- Aligning Bytes with Bliss: Integrating Happiness Computing with Sociological Insight
- Computational Personality Analysis with Interpretability Empowered Prediction
- Enhancing Interpretability for Computational Personality Analysis in Education
- Multi-Gate Mixture-of-Experts with Explanation for Predictive Computational Personality Analysis
- Computational Personality Analysis with Interpretability Empowered Prediction
- Enhancing Interpretability for Computational Personality Analysis in Education
- Multi-Gate Mixture-of-Experts with Explanation for Predictive Computational Personality Analysis
- Quantitatively Interpreting Residents Happiness Prediction by Considering Factor–Factor Interactions
- Towards the Quantitative Interpretability Analysis of Citizens Happiness Prediction
- Towards the Explanation Consistency of Citizen Groups in Happiness Prediction via Factor Decorrelation
- Happiness Prediction With Domain Knowledge Integration and Explanation Consistency
- Decentralized Power Management Strategy of a Fuel Cell/Battery/Supercapacitor Hybrid Energy Storage System in Electric Propulsion Aircraft
- A Novel Nonlinear Control Strategy for a Single-Phase Half-Bridge LCLC Resonant Converter Interfaced Multi-Stack Fuel Cell System in More Electric Aircraft
- Decentralized Power Management Strategy of a Fuel Cell/Battery/Supercapacitor Hybrid Energy Storage System in Electric Propulsion Aircraft
- A Novel Nonlinear Control Strategy for a Single-Phase Half-Bridge LCLC Resonant Converter Interfaced Multi-Stack Fuel Cell System in More Electric Aircraft
- Variable-Frequency Extended Phase-Shifting Modulation of SRDAB Single-Stage Inverter Based on PSO and BPNN
- A Hybrid Heuristic-Bayesian Approach for Global Efficiency Optimization of SR-DAB Converters
- Towards the Quantitative Interpretability Analysis of Citizens Happiness Prediction
- Quantitatively Interpreting Residents Happiness Prediction by Considering Factor–Factor Interactions
- Quantitatively Interpreting Residents Happiness Prediction by Considering Factor–Factor Interactions
- Computational Personality Analysis with Interpretability Empowered Prediction
- Facilitating the Explanation Consistency of Computational Models for Subjective Well-Being
- Aligning Bytes with Bliss: Integrating Happiness Computing with Sociological Insight
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