Author

Meng'en Qin

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#machine learning Preprint Sep 2026

Training-Adaptive Convolutional Sparse Coding via Information Bottleneck for Robust Visual Representation

Visual signals require compact yet sufficient representations for robust downstream prediction. Convolutional sparse coding (CSC) provides an explicit mechanism for suppressing redundant components while preserving signal content, but its sparsity coefficient is often manually selected during training. We propose a tra...

Meng'en Qin, Yin-Chen Liu, Ming-Xuan Cui et al. · 0 citations

#computer vision Preprint Sep 2026

MLLMs Hallucinate when Information Distribution Drifts in Synergy Heads

HEAL injects dynamic information calibration factors into the value vectors of synergy heads and actively regulates visual-language dependencies, steering the output distribution towards factual evidence, offering a simple and interpretable pathway to enhance model trustworthiness.

Meng'en Qin, Jun-Ye Chen, Ju-Cheng Liu et al. · 0 citations