Call For Papers

The topics of interest for submission include, but are not limited to:

◕ Data-driven Learning

· Deep learning

· Reinforcement learning

· Transfer learning

· Self-supervised learning

· Distributed and federated machine learning

· Trusted machine learning

· Generative models

· Large language models ( LLMs )

· Automatic verification of LLMs

· Coordination of small and large models

· AI for science and engineering

· AI for education and society

· AI for art

· Secure AI

◕ Data-driven optimization and decision-making :

· Data-driven optimization algorithms

· Bayesian optimization

· Neural combinatorial optimization

· Large-scale and multi-objective optimization

· Integration of machine learning and Optimization

· Data-driven decision paradigm

· Intelligent scheduling

· Reinforcement learning of combinatorial Optimization

· Distributed and joint optimization

· Industrial and manufacturing system analysis and decision-making

· Diffusion models for optimization

· LLM-assisted optimization

◕ Big data analysis and application

· Big data storage and mining

· Data coordination

· Integration and processing

· Big data analytics and metrics

· Theory and methods of multi-source big data fusion

· Database management system

· Big data service

· Big data oriented cloud computing technology

· Privacy preserving big data analysis

· Visual city data analysis

· Intelligent transportation data analysis

· Healthcare data analysis

· Bioinformatics

◕ Data-driven modeling and control

· Learning and adaptive control

· Robust control

· Intelligent control

· Optimization-based and optimal control

· Model predictive control

· Fault detection and identification

· Hybrid intelligent system

· Neural control

· Fuzzy logic control

· Networked control

· Industrial automation

· Intelligent transportation system

· Environmental monitoring and control

· Intelligent manufacturing system

· Green communication system

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