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 Shenzhen, 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!
 | December 11-13, 2026 Conference Dates |
| September 25, 2026 Full Paper Submission 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
Fundamental Theories and Methods of Machine Learning
Core Technologies of Deep Learning and Neural Networks
...
Representation Learning
Mathematical Foundations and Theoretical Frameworks of Representation Learning
Self-supervised / Unsupervised Representation Learning
...
Fusion Innovation and Application of Artificial Intelligence and Representation Learning
Large Model Optimization Driven by Representation LearningFusion Technologies of Representation Learning and Computer Vision
...
☀ Publication
All accepted full papers will be published in the conference proceedings and will be submitted to EI Compendex / Scopus for indexing.
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.