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| Track Chair: Yong Zhao, Sichuan University, China | Track Chair: Hui-Wen Huang, Shaoguan University, China |
The deep integration of data science and artificial intelligence (AI) has triggered a transformative wave across global industries, generating an urgent demand for scalable, interpretable, and value-driven application solutions. Specifically, leveraging data-driven methodologies to empower AI models with enhanced reasoning, generalization, and decision-making capabilities for real-world industrial and societal scenarios has emerged as a core development trend. This special session aims to address the unique challenges in data science and AI application by focusing on cutting-edge technologies including big data analytics, machine learning, deep learning, knowledge graphs, explainable AI, and federated learning. It provides a high-level platform for academic researchers and industrial practitioners to exchange practical experiences, share innovative achievements, and develop tailored solutions for data governance, model optimization, and large-scale deployment in diverse fields. Through this collaborative exploration, the session seeks to accelerate the deep integration of data science and AI, and empower sectors such as manufacturing, finance, healthcare, and smart cities to lead a new era of digital and intelligent transformation.
Intelligence Application
Knowledge Engineering
Computational intelligence
Intelligent agent
Intelligent control
Knowledge management
Artificial Immune System
Big data Data mining
Distributed and parallel learning
Human Computer Interaction
Fuzzy Systems and Control
Intelligent Systems
Soft Computing
Graphics algorithms