Xiu Fang — accepted AI-conference papers

2026

Unsupervised Graph-Level Anomaly Detection via Multi-granular Graph Structure Learning

Ge Zhang, Huimei Li, Guohao Sun, Xiu Fang, Xixun Lin, Xiaobao Wang +2

IJCAI 2026

Graph-level anomaly detection (GLAD) aims to identify graphs that deviate from the majority in a dataset of graphs. Existing methods typically adopt either a global aggregation perspective that summarizes nodes within a graph into a representation vector, or a subgraph-oriented perspective which reg

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2022

Modeling Spatio-temporal Neighbourhood for Personalized Point-of-interest Recommendation

Xiaolin Wang, Guohao Sun, Xiu Fang, Jian Yang, Shoujin Wang

IJCAI 2022poster

Point-of-interest (POI) recommendations can help users explore attractive locations, which is playing an important role in location-based social networks (LBSNs). In POI recommendations, the results are largely impacted by users' preferences. However, the existing POI methods model user and location…

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