Jie Xing — accepted AI-conference papers

2026

Multifaceted Scenario-Aware Hypergraph Learning for Next POI Recommendation

Yuxi Lin, Yongkang Li, Jie Xing, Zipei Fan

AAAI 2026technical

Among the diverse services provided by Location-Based Social Networks (LBSNs), Next Point-of-Interest (POI) recommendation plays a crucial role in inferring user preferences from historical check-in trajectories. However, existing sequential and graph-based methods frequently neglect significant mob

Cited by 0 Source ↗PDF ↗Scholar ↗

2018

Improving Colorectal Polyp Classification Based on Physical Examination Data - An Ensemble Learning Approach

Xiaolei Xie, Jie Xing, Nan Kong, Chong Li, Jinlin Li, Shutian Zhang

RA-L 2018

Colorectal cancer is a common type of cancer. Due to the alarming incidence and mortality rate, it has received increasing attention on early detection and treatment. Colorectal polyps form and grow at initial stages of most colorectal cancer cases. Due to rather stringent medical resource availabil

Cited by 6 Source ↗Scholar ↗