The topics of interest for submission include, but are not limited to:
◕ Multimodal Perception and Understanding
Cross-modal Representation Learning and Alignment
Multimodal Large Model Architectures and Optimization
Vision-Language Understanding and Generation
Speech, Audio, and Multimodal Fusion
3D Vision and Scene Understanding
Multimodal Content Generation and Editing
Embodied AI and Robotic Perception
Multimodal Security and Privacy Preservation
Lightweight Multimodal Systems and Edge Deployment
Multimodal Data Governance
Multimodal Annotation and Evaluation
◕ Machine Learning Theory and Algorithms
Deep Learning Theory and Optimization Methods
Self-supervised, Weakly-supervised, and Unsupervised Learning
Reinforcement Learning and Sequential Decision-Making
Graph Machine Learning and Complex Network Analysis
Federated Learning and Distributed Machine Learning
Explainability and Causal Inference
Few-shot Learning and Continual Learning
Green Machine Learning and Efficient Computing
Robust Learning and Adversarial Defense
Dynamic Learning in Open Environments
Data-efficient Learning
Automated Data Utilization
◕ Data Science and Intelligent Systems
Multimodal and Heterogeneous Data Governance
Data Cleaning, Annotation, and Quality Assessment
Large-scale Data Mining and Knowledge Discovery
Time-series Data and Stream Computing
Data Visualization and Interactive Analytics
Data-driven Optimization and Decision-making
Data Ethics, Compliance, and Governance
Data Engineering and MLOps
Multimodal Data System Architectures
Multimodal Data Systems
Model and Data Lifecycle Management