Author

Zi-Jun Wang

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Preprint Aug 2026

MOTIF: Motivation-guided Topology Inference for Cold-start Multimodal Recommendation

Cold-start multimodal recommendation faces three coupled challenges: (i) sparse interactions obscure user intent, (ii) cold items remain topologically isolated, and (iii) similarity-based item graphs may cause semantic drift. To address these issues, we propose MOTIF, a Motivation-guided Topology Inference framework fo...

Yu-Rui Shi, Yulan Miao, Xi-Min Hu et al. · 1 citation

#natural language process... Preprint Oct 2026

The"10th Juror": Open-Set Standpoint Screening for Bureaucratic Bias Detection

Presupposing the boundaries of bias is itself a form of bias. We study closed-loop bias governance for Dutch government documents, where a system must detect biased language, ground decisions in legal and contextual evidence, rewrite problematic sentences when intervention is warranted, and verify that the rewrite miti...

Yu-Chen Miao, Zi-Jun Wang, Chang Han et al. · 0 citations

Preprint Aug 2026

Anatomy of a Decision: Uncertainty-aware Hierarchical Intent Learning via Flow Matching for Multimodal Recommendation

Modeling the underlying user intent is crucial for recommendation, but existing methods struggle with the inherent uncertainty and the dynamic, hierarchical nature of user interests. Current approaches often rely on clustering or prototype learning to discover a static set of intents. However, they face two critical ch...

Yu-Chen Miao, Zi-Jun Wang, Ke Liu et al. · 0 citations