Multimodal Representation Learning and Clustering(MuReC ‘25)

In conjunction with  MMASIA 2025, December 9 – 12, 2025, Grand Millenium Hotel, Kuala Lumpur, Malaysia .

Workshop Overview

The MuReC workshop addresses the growing challenge of extracting robust, transferable representations from complex multimodal data, spanning text, images, graphs, audio, and structured attributes. It focuses on the synergy between unsupervised/self-supervised representation learning and clustering, aiming to uncover latent structures, compress information, and enhance interpretability in large-scale, heterogeneous datasets.

The workshop emphasizes latent factor models, multi-view learning, and self-supervised techniques, particularly their integration into graph neural networks, large language models, and advanced clustering frameworks.

Key themes include:

• Unsupervised and self-supervised feature learning for multimodal and multi-view data

• Novel clustering algorithms for heterogeneous, high-dimensional, and noisy datasets

• Graph-based, spectral, probabilistic, and factorization approaches (e.g., NMF, NMTF)

• Applications in information retrieval, NLP, bioinformatics, recommender systems, and computer vision

• Scalability, anomaly detection, and robustness under sparsity or noise

By gathering researchers and practitioners from machine learning, data mining, network science, and information retrieval, MuReC aims to advance theory and applications, foster cross-domain collaboration, and highlight emerging trends at the intersection of multimodal representation learning and clustering.

The workshop is co-located with the   MMASIA 2025, December 9 – 12, 2025, Grand Millenium Hotel, Kuala Lumpur, Malaysia .

Important Dates

• Workshop paper submissions: September 30, 2025   

• Workshop paper notifications:  October 1, 2025

• Camera-ready deadline and copyright forms: October 15, 2025

• Early bird registration finishes: TBA

• Conference dates: December 9 – 12, 2025

**Note: All deadlines are based on Pacific Time, 11:59 PM**

Workshop Chairs

Workshop Organizers

• Lazhar Labiod: lazhar.labiod@u-paris.fr, Université de Paris Cité

• Mohamed Nadif: mohamed.nadif@u-paris.fr, Université de Paris Cité

Workshop Contact

• lazhar.labiod@u-paris.fr