Author

Jiangang Yang

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Preprint Aug 2026

Robustness Emerges Early in Training Dynamics, but Is Not Preserved

This paper identifies a robustness fading phenomenon where shallow layers spontaneously develop robust representations and flat loss landscapes in early training, yet these properties are not preserved during standard convergence, and proposes a framework that performs strategic interventions on training dynamics to st...

Jian-Gang Yang, Wen-ku Shi, Lunyuan Hu et al. · 0 citations

Preprint Aug 2026

Suppress and Diversify: Refining Robust Pathways for Corruption Robustness

This work identifies a progressive decay of robust features across network layers and establishes a functional dependency between the prevalence of these features and model performance, and proposes Suppress and Diversify (S\&D), a non-intrusive refinement approach that enhances robustness by dynamically selecting robu...

Jian-Gang Yang, Wen-ku Shi, Xiao-Ran Xu et al. · 0 citations

Open access Jul 2026

KNA-SG: Keyframe–Node-Associated Open-Vocabulary 3D Scene Graphs from RGB Sequences

KNA-SG, a framework for constructing open-vocabulary 3D scene graphs from RGB sequences with explicit keyframe–node associations, is proposed and Experimental results show that KNA-SG outperforms existing methods on open-vocabulary 3D semantic segmentation and 3D object grounding tasks.

Yang Xu, Wen-ku Shi, Jing Xing et al. · Technologies · 0 citations