CFP

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