Call For Papers

High-Performance Computing and Parallel Processing

Distributed Systems and Cloud Computing Technologies

Edge Computing and Internet of Things (IoT) Architectures

Computer Networks and Communication Protocol Optimization

Operating Systems and Storage System Optimization

Database Technologies and Data Warehouse Systems

Software Engineering and Formal Methods

Programming Languages and Compiler Technologies

Computer Architecture and Chip Design

Embedded Systems and Real-Time Computing

Computer Graphics and Visualization Technologies

Human-Computer Interaction and User Interface Design

Information Security and Cybersecurity Technologies

Blockchain Technology and Distributed Ledgers

Big Data Processing and Stream Computing Platforms

Computational Methods in Computer Vision

Parallel and Distributed Machine Learning Systems

AI-Oriented Specialized Computing Architectures

Green Computing and Low-Power System Design

Deep Learning and Neural Network Theory

Large Models and Foundation Model Technologies

Generative AI and Diffusion Models

Reinforcement Learning and Deep Reinforcement Learning

Supervised / Unsupervised / Self-Supervised Learning

Transfer Learning and Few-Shot Learning

Federated Learning and Distributed AI

Graph Neural Networks and Spatiotemporal Data Learning

Explainable and Trustworthy AI

Adversarial Machine Learning and Robustness

Multimodal Intelligent Fusion and Understanding

Natural Language Processing and Intelligent Dialogue Systems

Machine Vision and Intelligent Image Analysis

Time-Series Data Analysis and Predictive Modeling

Knowledge Graphs and Intelligent Reasoning

Causal Inference and Causal AI

Weakly Supervised Learning and Noisy Data Modeling

Model Compression, Quantization and Lightweight AI

Neural-Symbolic Fusion and Explainable Reasoning

Incremental Learning and Continual Learning Technologies