Bei Yang

Learning Universal User Representations via Self-Supervised Lifelong Behaviors Modeling

2021 · arXiv (Cornell University)

Universal user representation is an important research topic in industry, and is widely used in diverse downstream user analysis tasks, such as user profiling and user preference prediction. With the rapid development of Internet service …

A weakly supervised multi-instance learning based on graph neural network for breast cancer pathology image classification

2023

Breast cancer is a malignant tumor that occurs in the breast, posing a serious threat to women’s health. Histopathological examination is an important means of breast cancer diagnosis, and the analysis of histopathological images is …