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Zhifang Huang

2 accepted papers

2026

LECDPR:LLM Enhancement and Concept-Document Interactive Modeling for Prerequisite Relation Prediction

IJCAI 2026

Accurate prediction of prerequisite relations among concepts is important for course planning and intelligent tutoring systems. Existing text-based methods are frequently contaminated by noise such as redundant phrasing, ambiguous sentences, and domain-specific colloquialisms. Moreover, previous met

Cited by 0Scholar
2026

MyGram: Modality-aware Graph Transformer with Global Distribution for Multi-modal Entity Alignment

AAAI 2026technical

Multi-modal entity alignment aims to identify equivalent entities between two multi-modal Knowledge graphs by integrating multi-modal data, such as images and text, to enrich the semantic representations of entities. However, existing methods may overlook the structural contextual information within

Cited by 0SourcePDFScholar