Yiming Guan — accepted AI-conference papers

2026

SciMKG: A Multimodal Knowledge Graph for Science Education with Text, Image, Video and Audio

Tong Lu, Zhichun Wang, Yaoyu Zhou, Yiming Guan, Zhiyong Bai, Junsheng Du

AAAI 2026technical

Knowledge graphs (KGs) play a vital role in intelligent education by offering structured representations of educational content. However, constructing multimodal educational knowledge graphs (EKGs) from diverse open educational resources remains a challenge due to the reliance on costly manual annot

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2026

Task-Aware Meta-Learning on Heterogeneous Knowledge Graph for POI Recommendation

Jingyuan Wang, Zhichun Wang, Tong Lu, Yiming Guan

AAAI 2026technical

Point-of-Interest (POI) recommendation plays a pivotal role in location-based services by guiding users to discover new and relevant places. While graph-based methods have shown promising results, effectively modeling the diversity and dynamics of user preferences remains a key challenge. Addressing

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