Xin Zhou

Xin Zhou is a researcher at the School of Computer Science and Engineering, Nanyang Technological University (Singapore), affiliated with the Cloud Computing and Application Platform (CAP) Group. His work focuses on machine learning, recommendation systems, federated learning, and multimodal data analysis. He holds a PhD from Kyoto University's Department of Social Informatics (Japan).

Key research areas include collaborative filtering, graph neural networks, privacy-preserving techniques, and large-scale learning patterns in MOOCs. Notable contributions include frameworks like SelfCF for self-supervised collaborative filtering and studies on personalized federated knowledge graphs. His publications span top venues such as ACM Multimedia, WWW, and IEEE Transactions on Neural Networks.

Zhou collaborates extensively with institutions like Peking University and Baidu Research, focusing on scalable solutions for recommendation systems and distributed machine learning challenges.