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Author

Han-Jie Xu

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Aug 2026

Adaptive Quantum‐Inspired Optimisation of Neural Networks for Imbalanced Student Performance Prediction

Student performance prediction (SPP) is a critical task in educational data mining (EDM) for facilitating proactive educational interventions. However, existing predictive models face specific challenges: the high pedagogical cost of misclassifying at‐risk students (class imbalance), the difficulty of feature selection...

Han-Jie Xu, Lei-Lei Li, Lingjun Xiao et al. · 0 citations
Open access Sep 2026

A Surrogate-Assisted Synergistic Co-evolutionary Framework for Computationally Expensive Neural Architecture Search

Neural Architecture Search (NAS), often formulated as a bilevel optimization problem, presents significant challenges characterized by discrete search spaces and computationally expensive performance evaluations. Standard evolutionary metaheuristics frequently encounter difficulties in such landscapes due to ineffici...

Han-Jie Xu, Ji-Yuan Chen, Jun Tang et al. · 0 citations

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