Call For Papers

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

Track 1: Fundamentals of Artificial Intelligence and Intelligent Systems - Artificial Intelligence Algorithms

Fuzzy logic

Software and hardware architecture

Intelligent system architecture

Environmental intelligence

Knowledge-based system

Knowledge Management

Automatic programming

Artificial neural network

Evolutionary algorithm

Reinforcement learning

The Application of AI in Robotics and Mechatronic Systems

Computational intelligence

Soft Computing Theory and Application

Hybrid intelligent system

Intelligent system

Ubiquitous Computing and Environmental Intelligence

Knowledge representation

Pattern recognition

Artificial intelligence tools

Genetic algorithm

Ant colony algorithm

Track 2: Natural Language Processing and Generative Artificial Intelligence

Natural language processing

Speech and natural Language processing

Information retrieval and fusion

Human-computer interaction

Computer modeling

ChatGPT Technology and Applications

Generative artificial intelligence

Multimodal understanding and dialogue system

Optimization and compression of large language models

Knowledge-enhanced language model

Track 3: Computer Vision and Visual Intelligence

Computer Vision and Image Understanding

Signal and image processing

Computer Vision and Information Visualization

Digital image processing

Computer animation

Multimedia application

3D reconstruction and point cloud processing

Image generation and diffusion model

Visual Scene understanding and SLAM

Track 4: Big Data Management, Security and Application

Big data management

Big data analysis

Data Science

Database system

Knowledge Management

Big data encryption

Communication system

Embedded system

Anomaly detection

Data privacy protection

Federated learning

Blockchain and Data Trusted Computing

Industrial big data

Visual analysis and intelligent monitoring

Track 5: Machine Learning, Data Mining and Decision Intelligence

Machine learning

Data mining

Pattern recognition

Anomaly detection

Medical big data

Automatic control

Digital management

Digital finance

Explainable artificial intelligence

Causal inference

Few-shot and zero-shot learning

Decision intelligence

Intelligent recommendation System and data-driven decision support

Track 6: Algorithm Optimization and Theoretical Foundation

Algorithm optimization

Sorting algorithm

Search algorithm

Graph exploration algorithm

Numerical analysis

Fuzzy computing

Distributed system

Edge computing

Mobile computing

High performance and grid computing

Computability theory

Software Engineering

Quantum computing and quantum algorithms

Neural Architecture Search (NAS

Track 7: Artificial Intelligence Applications and Emerging Technologies

Intelligent healthcare

Intelligent education

Intelligent transportation

Smart City

AIoT (Artificial Intelligence and Internet of Things

Edge intelligence

Digital finance

Intelligent manufacturing

Data privacy protection

Explainable and trustworthy artificial intelligence