(Include but not limited to)
Track 1: Statistical Learning
Basics of Statistical Learning Theory
High-dimensional Data Analysis and Dimension Reduction Methods
Bayesian Learning and Probabilistic Modeling
Causal Inference and Explainable Machine Learning
Uncertainty Quantification and Trustworthy Machine Learning
Computational Methods for Statistical Inference and Modeling
Time Series Analysis and Sequential Decision Making
Nonparametric and Semiparametric Statistical Methods
Experimental Design and Bayesian Optimization
Survival Analysis and Event Modeling
Monte Carlo Methods and Computational Statistics
Model Selection and Sparse Methods
Multivariate Statistical Analysis and Data Fusion
Small Sample Economic Statistical Methods
Statistical Software and Development of Computational Tools
Track 2: Data Science
Data Mining and Knowledge Discovery
Machine Learning and Deep Learning Methods
Multimodal Data Fusion and Cross-Domain Learning
Graph Data Mining and Network Analysis
Spatial-temporal Data Mining and Prediction
Natural Language Processing and Text Analysis
Computer Vision and Image Understanding
Big Data Processing, Storage and Computing
Privacy-Preserving Data Analysis and Federated Learning
Data Visualization and Visual Analysis
Automatic Machine Learning (AutoML)
Learning of Complex Structures
Data Quality, Data Governance and Integration
High Performance and Parallel Computing
Real-time Streaming Data Processing and Analysis
Track 3: Intelligent Mining
Data Science Innovation Driven by Large Language Models
Generative AI and Intelligent Content Analysis
Explainable AI and Trustworthy Decision Systems
Application of Statistical Learning in Biomedical and Health Sciences
Data-Driven Finance and Risk Management
Modeling of Intelligent Transportation and Logistics Systems
Industrial Big Data Analysis and Predictive Maintenance
Decision Support Systems and Optimization Theory
Recommendation Systems and Personalized Services
Multi-Agent Collaborative Decision Making
Digital Economy and Business Intelligence Analysis
Environmental and Energy Big Data Analysis
Statistical Learning Applications in Social Sciences and Education
Digital Twinning and Simulation Modeling
Quantum Machine Learning and New Computing Paradigms ......