Call For Papers

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

Artificial Intelligence and Machine Learning

(Fundamental Theories)

Fundamental Theories and Algorithms of Machine Learning

Deep Learning and Neural Networks

Reinforcement Learning and Adaptive Systems

Transfer Learning and Meta-Learning

Federated Learning and Distributed Machine Learning

Generative Adversarial Networks and Generative Models

Probability, Statistics, and Stochastic Processes

Numerical Computation and Optimization Methods

Information Theory and Coding Theory

Operations Research and Combinatorial Optimization

(Perception and Cognition)

Computer Vision and Image Understanding

Natural Language Processing and Speech Recognition

Knowledge Graphs and Semantic Understanding

Multimodal Learning and Cross-Modal Analysis

Pattern Recognition and Intelligent Perception

Cognitive Computing and Affective Intelligence

Text Mining and Semantic Analysis

Spatial Data and Geo-Computation

Bioinformatics and Computational Biology

Computational Geometry and Topological Analysis

(Application Systems)

Recommendation Systems and Personalized Services

Anomaly Detection and Fault Diagnosis

Intelligent Decision-Making and Optimal Control

Robotic Learning and Autonomous Systems

Autonomous Driving and Intelligent Transportation

Biomedical Artificial Intelligence

Financial Intelligence and Quantitative Analysis

Industrial Intelligence and Smart Manufacturing

Industrial Big Data Application Practice

Secure Computing and Privacy Protection

Intelligent Computing and SystemsData Science and Applications

(Computing Architecture)

Cloud Computing and Edge Computing

Distributed and High-Performance Computing

Quantum Computing and Quantum Machine Learning

Neuromorphic Computing and Brain-Inspired Intelligence

In-Memory Computing and Near-Data Processing

Photonics Computing and Novel Computing Paradigms

Intelligent Chips and Hardware Acceleration

Novel Memory Architectures and Systems

High-Performance Networking and Communications

Green Computing and Energy Efficiency Optimization

(Emerging Paradigms)

Digital Twins and Virtual Simulation

Metaverse and Immersive Computing

Blockchain and Trusted Computing

Internet of Things and Intelligent Sensing

Embedded and Mobile Computing

Matrix Computation and Tensor Analysis

Differential Equations and Dynamical Systems

Big Data Analysis and Mining

Data Visualization and Interaction

Time Series Analysis and Predictive Modeling

(Data Processing)

Graph Data and Network Analysis

Unstructured Data Processing

Data Governance and Quality Management

Data Security and Privacy Protection

Computational Modeling and Simulation

Intelligent Computing Application Cases

Financial Mathematics and Risk Management

Biomedical Data Analysis

Environmental Big Data Analysis

Social Network Analysis