This workshop tackles the challenge of transforming massive data into efficient representations through cutting-edge research in data representation and learning. We explore techniques that preserve semantic richness while optimizing computational efficiency, enabling faster processing with minimal resources. By reimagining the data-to-knowledge pipeline, we aim to build scalable, practical big data and AI systems. Join us to pioneer the next generation of intelligent systems that balance performance with sustainability.

This workshop provides a unique forum for in-depth discussion. We welcome submissions that are aligned with the workshop's thematic. Papers, consisting of only a paper title and an abstract, should be sent to xuezhe@bupt.edu.cn. Please note that accepted papers are for presentation and discussion only and will not be included in the official conference proceedings.