Call For Papers
The topics of interest for submission include, but are not limited to:
Track 1: Foundations of Frontier Artificial IntelligenceLarge Language Models and Generative AI Diffusion Models and Multimodal Learning Reinforcement Learning and Autonomous Agents Explainable AI and Trustworthy AI AI Security, Privacy, and Adversarial Learning Efficient Models and AGI Exploration Model Compression and Inference Acceleration Few-shot and Meta-Learning AI Algorithms and Theory Information Retrieval and Generative Search | Track 2: Embodied Intelligence and Multimodal InteractionEmbodied Intelligence and Cognitive Architecture Multimodal Perception and Fusion Machine Learning for Autonomous Agents Human-Robot Interaction and Virtual Robots Digital Twin and Smart Environments Vision-Speech-Motion Navigation Tactile Perception and Control Social Behavior and Human-like Actions Embodied Decision-making and Planning Embodied Systems Coordination |
Track 3: Artificial Intelligence and Scientific DiscoveryScientific Machine Learning and Physical Modeling Causal Inference and Symbolic Reasoning Uncertainty Quantification and Trustworthy AI High-Performance Computing and Simulation Acceleration Large-Scale Scientific Data and Knowledge Discovery AI for Drug Discovery and Materials Science AI for Climate and Earth Science Bioinformatics and Genomics with AI AI for Scientific Visualization and Knowledge Graphs Optimization of Scientific Experiments with AI | Track 4: Aerospace Intelligent Systems and ApplicationsUAV Autonomy and Control Integrated Communication, Navigation, and Sensing Urban Air Mobility (UAM/eVTOL) Aerospace Intelligent Perception and Data Fusion Intelligent Energy Conversion and Management Low-Altitude Traffic Control and Safety Intelligent Flight Systems and Mission Planning Adaptive Control and Intelligent Navigation Anti-Jamming and Secure Communication High-Precision Aerospace Manufacturing and Testing |
Track 5: Large-Scale Safety and Trustworthy AILarge-model evaluation and safety benchmarks Data poisoning, hallucination, and robustness Federated learning and privacy protection Adversarial examples and red-team testing Model alignment and value alignment Safe applications and risk governance Trusted computing and controllable generation Security and interpretability of cross-modal large models Compliance and governance of open-source large models Hardware acceleration and secure computing architectures | Other Related TopicsSmart Healthcare and Health Informatics Intelligent Manufacturing and Industry 4.0 Intelligent Transportation and IoT Agricultural Informatics and Smart Farming Metaverse and Virtual Reality Computational Science Generative AI for Arts and Creativity |