(Include but not limited to)
Track 1: Pattern Recognition and Computer Vision
Image and Video Classification
Object Detection, Tracking and Recognition
Semantic Segmentation and Scene Understanding
Face Recognition and Biometric Recognition
3D Reconstruction and Shape Analysis
Action Recognition and Behavior Analysis
Document Analysis and Text Recognition
Remote Sensing Image Processing and Interpretation
Medical Image Analysis and Computer-Aided Diagnosis
Image Retrieval and Visual Reasoning
Multimodal Fusion of Vision and Language
Gesture Recognition and Human-Computer Interaction
Pattern Recognition Theory and Mathematical Foundations
Track 2: Machine Learning and Deep Learning
Supervised, Unsupervised and Semi-Supervised Learning
Deep Neural Network Architectures and Optimization
Generative Models (GANs, VAE, Diffusion Models)
Reinforcement Learning and Adaptive Systems
Transfer Learning and Meta-Learning
Federated Learning and Distributed Machine Learning
Graph Neural Networks and Graph Representation Learning
Self-Supervised and Few-Shot Learning
Probabilistic Graphical Models and Bayesian Methods
Interpretability and Transparent Machine Learning
Model Compression and Efficient Training
Privacy Protection and Secure Machine Learning
Large Language Models and Foundation Models
Multimodal Learning and Cross-Modal Analysis
Track 3: Intelligent Computing and System Applications
Intelligent Computing Architecture and Algorithms
Edge Computing and Edge Intelligence
Neurocomputing and Brain-like Intelligence
Quantum Computing and Quantum Machine Learning
Intelligent Chips and Hardware Acceleration
Data Mining and Knowledge Discovery
Intelligent Recommendation and Personalized Services
Anomaly Detection and Fault Diagnosis
Autonomous Driving and Intelligent Transportation
Intelligent Manufacturing and Industrial Big Data
Biomedical Informatics and Computational Biology
Financial Intelligence and Quantitative Analysis
Digital Twinning and Virtual Simulation
Large Model-Driven Intelligent Applications
......