Ding Yue

Ding Yue is a faculty member in the Department of Computer Science at Shanghai Jiao Tong University. They are affiliated with the Key Laboratory of Intelligent Computing and Intelligent Systems. Their research interests and other professional details are not explicitly provided in the available information. Ding Yue's contact details, including their email, are listed on the university's faculty profile page.

Yue Ding is a researcher at Shanghai Jiao Tong University with expertise in recommender systems, data mining, and machine learning. Their work focuses on improving recommendation algorithms through advanced techniques such as adversarial and contrastive variational autoencoders, convolutional factorization machines, and tag graph convolutional networks. They also explore federated learning for multi-task scenarios and multi-modal data integration. Ding's research emphasizes the development of robust and efficient models for sequential recommendation, cross-silo federated learning, and context-aware systems. Their contributions span both theoretical advancements and practical applications in recommendation and data analysis.