Author

Ke Tang

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#machine learning Open access Aug 2026

Interpretable and fair generalized additive neural networks via multi-objective learning.

A multi-objective neural basis model (MONBM) framework based on multi-objective evolutionary learning to consider accuracy, interpretability, and fairness simultaneously is proposed and demonstrates how multi-objective optimization can be combined with self-interpretable models to reveal relationships among trustworthi...

Ziming Wang, Changwu Huang, Ke Tang et al. · Neural Networks · 1 citation

#machine learning Preprint Jan 2026

Online Regime-aware Calibration for Black-box Social Simulators via Posterior-assisted Evolutionary Dynamic Optimization

PosEDO is proposed, which augments fitness-based EDO with an observation-conditioned parameter-space signal from parameter-trajectory pairs generated during evolutionary evaluation, using posterior shifts for change detection and posterior samples for population adaptation.

Peng Yang, Zhen-Hua Yang, Boquan Jiang et al. · 1 citation

Jul 2026

CASE: Causal Alignment and Structural Enforcement for Improving Chain-of-Thought Faithfulness

Experiments show that CASE achieves a 37\% average per-setting relative improvement in overall CoT faithfulness over the strongest baselines, exhibits stronger cross-dataset faithfulness transfer, and maintains competitive average accuracy.

Ziming Wang, Yinghua Yao, Changwu Huang et al. · arXiv.org · 0 citations