[CFP] ICDM 2026 Workshop on Large Language Models for Multimodal Data Fusion
Weiwei Jiang
- Conference website: http://icdm2026.neu.edu.cn/main.htm
- Workshop website: https://jwwthu.github.io/ICDM2026.html
- Deadline: August 20, 2026
- Conference Location: Shenyang, China
- Conference Date: November 2026
The Workshop on Large Language Models for Multimodal Data Fusion (LLM4MDF) is a specialized, in-depth forum collocated with the IEEE International Conference on Data Mining (ICDM). It targets the emerging intersection of large language models (LLMs), multimodal learning, and data fusion, which are high-impact directions aligned with the core mission to advance data mining theory, algorithms, and applications. LLM4MDF focuses on LLM-driven fusion of text, images, audio, video, time series, graphs, and sensor data, bridging semantic understanding and heterogeneous data integration.
This workshop directly extends the scope of ICDM on multimodal data mining, heterogeneous data integration, and large-model-driven knowledge discovery. It complements the main conference by fostering cross-community collaboration on LLM-powered multimodal fusion, addressing critical challenges in unifying diverse data types for reliable, interpretable, and scalable data mining. By bringing together researchers and practitioners, LLM4MDF drives state-of-the-art advances in multimodal data mining and supports the goal of shaping the future of data science.
- LLM-based multimodal data representation, alignment, and fusion architectures
- Dynamic, adaptive, and interpretable multimodal data fusion mechanisms
- Multimodal knowledge extraction, reasoning, and generation
- Scalable, efficient, and robust multimodal data fusion systems
- Real-world multimodal data fusion applications
Please follow the submission guideline from the ICDM 2026 Submission Website.
- Workshop Paper Submission: August 20, 2026
- Workshop Paper Notifications: September 18, 2026
- Camera Ready: October 5, 2026