◕ Multimodal

• Multimodal Representation Learning and Cross-modal Alignment
• Multimodal Large Language Model Architectures and Optimization
• Self-supervised and Weakly-supervised Learning Methods
• Efficient Fine-tuning and Model Lightweighting Methods

• Cross-modal Retrieval, Generation, and Reasoning Technologies
• Multimodal Content Understanding and Semantic Analysis
• Continual Learning and Incremental Learning Frameworks
• Content Creation and Media Generation Technologies

• Federated Learning and Privacy Protection Mechanisms
• Social Computing and Affective Intelligent Systems
• Fairness, Interpretability, and Accountability in Multimodal AI
• Security and Robustness in Cross-modal Systems

• Intelligent Multimodal Diagnostics and Analysis in Healthcare
• Biomedical and Health Monitoring Applications
• Multimodal Perception for Autonomous Driving and Intelligent Transportation
• Robot Technologies and Human-Computer Interaction Systems
• Intelligent Education and Multimodal Learning Analytics
• Industrial Inspection and Smart Manufacturing Applications

◕ Artificial Intelligence

• Multimodal Model Security and Adversarial Robustness
• Privacy-preserving Computing and Data Security
• AI Explainability and Transparency
• Fairness Assessment and Bias Mitigation Techniques
• Ethical Frameworks and Governance Mechanisms
• Responsible AI Development Practices
• Secure Multi-party Computation Applications
• Algorithm Auditing and Regulatory Technologies

• Neuro-symbolic Reasoning and Hybrid Intelligent Systems
• Multimodal Embodied Intelligence and Robotics
• Brain-Computer Interfaces and Cognitive Computing
• Multi-agent Collaboration and Swarm Intelligence

• Green AI and Sustainable Computing
• Edge Computing and On-device Intelligence
• Metaverse and Virtual Reality Applications
• Multimodal AI for Scientific Discovery