Welcome to AIRL
2026 International Conference on Artificial Intelligence and Representation Learning
Countdown to the Conference:
☀ About AIRL
The 2026 International Conference on Artificial Intelligence and Representation Learning will be held in Zhengzhou, China, from December 11 to 13, 2026. The conference primarily focuses on the latest research in "Artificial Intelligence and Representation Learning" aiming to bring together experts, scholars, researchers, and professionals from around the world to share research achievements, explore hot topics, and exchange new experiences and technologies. We warmly welcome experts and scholars in related fields to submit their new research or technical contributions to AIRL 2026 and share valuable insights with scientists and scholars worldwide!
 | September 25, 2026 Full Paper Submission Date |
| October 25, 2026 Notification of Acceptance Date |
 | November 11, 2026 Final Paper Submission Date |
 | November 25, 2026 Registration Deadline |
☀ Topics
The topics of interest for submission include, but are not limited to:
Artificial Intelligence
Foundational Theories and Methods of Machine Learning
Core Technologies in Deep Learning and Neural Networks
Large Language Models and Generative AI Technologies
Computer Vision and Pattern Recognition
Natural Language Processing and Intelligent Interaction
Reinforcement Learning and Intelligent Decision-Making
Explainable AI and Trustworthy Artificial Intelligence
Federated Learning and Privacy-Preserving Computing
Edge Intelligence and Model Lightweighting Technologies
AI Security and Adversarial Attack-Defense Technologies
Theories of Representation Learning
Representation Learning
Feature Representation and Learning
Deep Learning Theory
Self-Supervised Learning
Unsupervised Learning
Contrastive Learning
Transfer Learning
Generalization and Robustness
Explainable Artificial Intelligence (XAI)
Intelligent Learning Mechanisms
Visual Representation Learning and Computer Vision
Image Representation Learning
Video Understanding and Analysis
Computer Vision
Image Recognition and Detection
Image Segmentation and Reconstruction
3D Vision and Scene Understanding
Medical Image Analysis
Intelligent Vision Systems
Vision Transformers (ViTs)
Visual Intelligence Technologies
Signal Processing, Audio Representation, and Intelligent Sensing
Signal Processing
Audio Representation Learning
Speech and Audio Analysis
Intelligent Signal Analysis
Time-Series Modeling
Information Fusion Methods
Multimedia Computing
Sensor Data Analysis
Intelligent Sensing Technologies
Intelligent Monitoring Systems
Multimodal Representation Learning and Foundation Models
Multimodal Representation Learning
Cross-Modal Semantic Alignment
Multimodal Information Fusion
Multimodal Generative Models
Vision-Language Models (VLMs)
Large Language Models (LLMs)
Multimodal Large Models
Foundation Models
Intelligent Content Generation (AIGC)
Human-AI Collaborative Intelligence
☀ Publication
All papers, both invited and contributed, will be reviewed by two or three experts from the committees. After a careful reviewing process, all accepted papers of CIAI 2026 will be published in the SPIE - The International Society for Optical Engineering (ISSN: 0277-786X), which will be archived in theSPIE Digital Library, and indexed byEI Compendex andScopus.
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.
☀ Sponsor
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