Author

Congyan Lang

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Preprint Aug 2026

Beyond Independence: Learning Correlated Views for Variational Incomplete Multi-View Clustering

Incomplete multi-view clustering (IMVC) aims to uncover shared cluster structures from data with partially observed views. Although recent imputation-free methods based on variational inference demonstrate robustness to missing views, they commonly rely on a conditional independence assumption across views in the poste...

Zhe-Ming Xu, A. Tang, Shidi Chen et al. · 0 citations

#artificial intelligence Review Sep 2026

Do LLMs Have Values? A Quantitative Analysis and Alignment Framework for Values in Large Language Models

This study empirically confirms the presence of LLM values, accurately quantifies their shifts, and achieves more efficient and precise steering than conventional blind training, all without degrading general capabilities.

Kelvin Zhang, Jing-Yu-Gin Chen, Yu-Fan Liu et al. · 0 citations

Jul 2026

SinColor: Uncertainty-Guided Single-Step Diffusion for Image Colorization

Image colorization is a fundamental yet challenging task in computer vision, aiming to recover plausible and spatially coherent colors from grayscale images. Recent advancements in diffusion models have enabled significant progress in this field, yet existing methods predominantly rely on multi-step diffusion processes...

Yutong Gao, Ying Zhang, Congyan Lang et al. · IEEE Transactions on Image P... · 0 citations