◕ Computational Statistics and Machine Learning

Statistical Learning Theory and Machine Learning Foundations

Bayesian Learning and Probabilistic Modeling

Causal Inference and Explainable Machine Learning

High-dimensional Learning and Sparse Methods

Uncertainty Quantification and Trustworthy Machine Learning

Computational Statistics and Monte Carlo Methods

Time Series Analysis and Sequential Decision-Making

Federated and Distributed Learning

Learning from Complex and Structured Data

◕ Data Science and Intelligent Analytics

Data Mining and Knowledge Discovery

Machine Learning and Deep Learning

Multimodal Data Fusion and Cross-domain Learning

Graph Data Mining and Network Analysis

Natural Language Processing

Computer Vision and Image Understanding

Automated Machine Learning (AutoML)

Spatiotemporal Data Mining and Forecasting

Privacy-preserving Data Analytics

Data Visualization and Visual Analytics

Decision Intelligence and Data-driven Optimization

◕ Intelligent Computing and Systems

Neural Networks and Intelligent Algorithms

Optimization Methods and Metaheuristics

Evolutionary Computation and Swarm Intelligence

Distributed and Parallel Computing

Efficient Training and Inference Systems

Scalable Machine Learning Systems

Cloud-Edge-End Collaborative Computing

Edge Intelligence and IoT Computing

AI-oriented Computing Architectures

Computational Resource Management for AI

Green and Sustainable Computing