Author

Zhenghao Huang

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Jul 2026

Gradient-Energy Guided Block-Wise Perturbations for Sharpness-Aware Minimization

Gradient-Energy Adaptive Radius SAM (GEAR-SAM), which maintains an exponential moving average of squared block gradients as a lightweight, curvature-related sensitivity signal and allocates the fixed SAM budget through a closed-form constrained optimization, is proposed.

Zhenghao Huang, Jia-Xin Deng, Jun-Biao Pang · arXiv.org · 0 citations

Preprint Jul 2026

Adversarial LassoNet: Robust Feature Selection via Stability-Driven Sparse Learning

Adversarial LassoNet is proposed, a stability-driven sparse feature selection framework that integrates input-space adversarial perturbations with the hierarchical sparsity mechanism of LassoNet and an NTK-inspired spectral analysis to characterize how perturbation-driven training can reduce gradient concentration.

Zhenghao Huang, Peicheng Xu, Junbiao Pang et al. · 0 citations