

Welcome to
IC-CFAI 2027
2027 International Conference on
Computer Frontiers and Artificial Intelligence
Venue
Jinan, Shandong Province, China
Conference Dates
February 26 - 28, 2027
Full Paper Submission Date
September 30, 2026
Registration Deadline
October 30, 2026
Final Paper Submission Date
November 30, 2026
The 2027 International Conference on Computer Frontiers and Artificial Intelligence (IC-CFAI 2027) will take place in Jinan, Shandong Province, China, from February 26 to 28, 2027.
Focusing on two core pillars—computer science frontiers and artificial intelligence technologies—IC-CFAI 2027 aims to gather leading academic scientists, researchers, industry experts, and young scholars worldwide to engage in in-depth discussions on cutting-edge research progress, technological breakthroughs, and innovative applications across the fields. The conference will build a high-level, interdisciplinary platform for professionals from universities, research institutions, and enterprises at home and abroad to exchange ideas, share insights, and explore solutions to key challenges in computer science and artificial intelligence. It will showcase the latest trends and practical advancements, drive cross-domain collaboration, and promote the innovative development of both theoretical research and industrial applications in these fast-evolving fields.
Participants from around the globe will come together to discuss industry trends, present their latest research findings, and explore opportunities for cooperation. We sincerely invite scholars, researchers, and industry professionals to submit papers and attend the conference, contributing collectively to the future growth and innovative breakthroughs in computer frontiers and artificial intelligence.
All accepted full papers will be published in the conference proceedings and will be submitted to EI Compendex / Scopus for indexing.
Please send the full paper (Word+PDF) to Submission System.
📤︎Submission System (CN)📤︎Submission System (EN)
Note: All submitted articles should report original research results, experimental or theoretical, not previously published or under consideration for publication elsewhere. Articles submitted to the conference should meet these criteria. We firmly believe that ethical conduct is the most essential virtue of academics. Hence, any act of plagiarism or other misconduct is totally unacceptable and cannot be tolerated.
The topics of interest for submission include,
But are not limited to:
📚︎Computer Science Frontiers
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
📚︎Artificial Intelligence Frontiers
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
|
Ms.Han
(Conference Secretary)

Tel: +86-15820210118 (WeChat)
QQ: 2777454525
If you have any questions or inquiries,
Please feel free to contact us.