(The following topics include but are not limited to)
Track 1: Data Science, Analysis and Application
Big data analysis and scalable data processing technologies
Data mining, knowledge discovery and pattern recognition
Information retrieval, extraction and knowledge management
Data visualization and visual analysis
Spatial data mining and social network analysis
Data-driven decision support and business intelligence systems
Medical health data analysis and personalized medicine
Smart cities, transportation and climate modeling applications
Educational data mining and learning analysis
Industrial data analysis and IoT data management
Data science in financial technology and risk modeling
Data quality, information governance and data security and privacy
Track 2: Frontiers of Machine Learning and Deep Learning
New algorithms for supervised learning, unsupervised learning and semi-supervised learning
Design and optimization of deep neural network architectures
Reinforcement learning and adaptive decision systems
Transfer learning, domain adaptation and meta-learning
Graph neural networks and structured data modeling
Sequence modeling and time series prediction analysis
Federated learning and privacy-preserving machine learning
Automated machine learning (AutoML) and neural architecture search
Model compression, optimization and efficient inference
Quantum machine learning and emerging learning paradigms
Statistical learning theory and high-dimensional data analysis
Anomaly detection, ensemble learning and model aggregation
Track 3: Artificial Intelligence
Natural language processing and large language models (LLMs)
Computer vision, image understanding and video analysis
Multimodal learning, fusion and cross-modal retrieval
Generative AI: GANs, diffusion models and generation techniques
Explainable AI (XAI), trustworthy AI and ethical artificial intelligence
Human-computer interaction, affective computing and cognitive analysis
Intelligent recommendation systems and personalized services
Knowledge representation, ontology and semantic Web
Speech recognition, synthesis and dialogue systems
Autonomous systems, robotics and edge intelligence
AI-driven scientific discovery and engineering applications
Intelligent systems for cybersecurity and IoT
...