Author

Jie Su

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Conference Open access Sep 2026

Meta-Cognitive Resonance Label Correction for Instance-Dependent Noise

Training with instance-dependent label noise poses a critical challenge in deep learning, severely impeding model generalization. Existing methods often struggle to break the vicious cycle where corrupted labels degrade feature representations, which in turn impairs noise identification. To overcome this, we propose th...

Gao-Xia Jiang, Jie Su, Sen-Yu Hou et al. · Proceedings of the Thirty-Fi... · 0 citations

Preprint Aug 2026

CockpitHAT: Dependency-Graph-Driven Hierarchical Attribution for Embodied Multi-Agent Cockpits

CockpitHAT is introduced, a hierarchical attribution framework that replaces positional windows with dependency-distance thresholds from interaction DAGs, integrates multi-channel evidence via an embodied adapter, and applies a safety-uplift to high-risk failures during confidence-weighted analyst consensus.

Wei Wang, Shuanghe Liu, Zhu Zhuo et al. · 0 citations