(The following topics include but are not limited to)
Track 1: Intelligent Sensing
Computer Vision
Medical Image Analysis
Multispectral/Radiometric Image Interpretation and Anomaly Detection
Biometric Recognition
Speech Separation and Synthesis in Complex Environments
Non-contact Physiological Signal Sensing
Autonomous Driving Multi-Sensor Fusion
Intelligent Transportation
Environmental Monitoring
Cross-modal Data Alignment and Feature-level Fusion
Edge-end Lightweight Model Deployment and Hardware Acceleration
Wireless Sensing Network
Flexible Sensors, Event Cameras and Bionic Sensing Devices
Ocean/Space Exploration
Industrial Automation
Track 2: Pattern Recognition
Deep Learning
Graph Neural Networks
Explainable AI and Causal Inference Models
LSTM-Transformer Hybrid Architecture
Video Tracking and Cross-Camera Object Re-Identification
Geometric Deep Learning of Point Cloud/Mesh Data
Neural Network Architecture Search and Optimization
Application of Pattern Recognition Algorithms in Financial Technology
Intelligent Analysis and Pattern Recognition in Sports
Image and Video Data Compression and Transmission
Explainable and Transparent Artificial Intelligence Models
Biomedical Signal Processing
Complex Networks and Social Network Analysis
Application of Transfer Learning and Adversarial Learning in Pattern Recognition
Intelligent Recommendation Systems
Graph Convolutional Networks and Graph Neural Networks
Optimization of Convolutional Neural Network Structures
Track 3: Artificial Intelligence
Innovations in Deep Learning Architectures
Reinforcement Learning and Decision Systems
Generative Models and Creativity
Artificial Intelligence Security
Machine Learning Algorithms
Computer Vision
Artificial Intelligence Interaction Systems
Application of Knowledge Graphs in Manufacturing
Artificial Intelligence Chips, etc.