As organizations increasingly rely on multi-modal information including text, images, audio, and structured databases, there is a critical need for intelligent systems that can seamlessly process, understand, and connect insights across different data modalities. This workshop brings together researchers and practitioners to explore cutting-edge approaches in multi-modal representation learning, neural architectures for semantic fusion, and the integration of large language models for enhanced understanding.

Wenling Li (Beihang University (BUAA), China)

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 lwlmath@buaa.edu.cn. Please note that accepted papers are for presentation and discussion only and will not be included in the official conference proceedings.

- Deadline for Workshop Paper Submission: Nov. 30 2025

- Notification of Acceptance: Dec. 5 2025

- Workshop Date: Feb. 2 2026