(Including but not limited to the following topics)
Track 1: Machine Learning
Fundamentals and Algorithms of Machine Learning
Deep Learning and Neural Networks
Reinforcement Learning and Adaptive Systems
Transfer Learning and Meta-Learning
Federated Learning and Distributed Machine Learning
Generative Adversarial Networks and Generative Models
Probability Statistics and Stochastic Processes
Numerical Computation and Optimization Methods
Information Theory and Coding Theory
Operations Research and Combinatorial Optimization
Learning and Adaptive Control
Learning/Adaptation in Recognition and Perception
Learning in Image Preprocessing and Segmentation
Learning in Process Automation
User Experience Research, Usability Testing, and Interaction Design
Mobile, Ubiquitous, and Pervasive Computing
Technology Adoption, Trust, User Participation, and Retention
Cognitive Science in Human-Computer Interaction
Track 2: Intelligent Sensing
Computer Vision and Image Understanding
Multimodal Sensor Fusion
3D Perception and Scene Reconstruction
Wireless Sensor Networks and Intelligent Sensing
Object Detection, Recognition, and Tracking
Environmental Perception for Robots
Human Behavior and Gesture Recognition
Perception Systems in Autonomous Driving
Remote Sensing and Intelligent Monitoring
Edge Artificial Intelligence and Embedded Sensing Systems
Track 3: Autonomous Control
Robot Motion Planning and Control
Adaptive and Robust Control Techniques
Autonomous Decision-Making and Path Planning
Multi-Agent System Control
Autonomous Driving Systems and Safety Control
Industrial Process Control Based on Artificial Intelligence
Human-Machine Cooperative Control and Shared Autonomy
Real-Time Control and System Optimization
Control Methods Based on Reinforcement Learning
Intelligent Automation and Cyber-Physical Systems