

The 4th International Conference on Machine Learning and Neural Networks (MLNN 2027) will be held in Beijing, China, from April 9 to 11, 2026. This conference focuses on machine learning theory innovation, neural network architecture design, deep learning optimization and cross-domain applications ( such as computer vision, natural language processing, industrial intelligent systems, etc. ), aiming to build a high-level communication platform for global academic and industrial experts. The conference will cover cutting-edge topics such as reinforcement learning, generative models, edge intelligence, and interpretable AI, and promote the integration of basic theoretical breakthroughs and industrial practices through keynote reports, symposiums, paper presentations, and industry-university-research dialogues. Relying on Beijing innovation ecology and industrial resources, MLNN 2027 will further promote international cooperation and help the sustainable development of artificial intelligence technology on a global scale.
We look forward to building a cross-disciplinary collaborative innovation platform through this conference, accelerating the scientific breakthrough and industrial empowerment, and opening up a new chapter in which intelligence leads the upgrading of industry and empowers the high-quality development of the digital economy!
![]() | March 25, 2027 Registration Date |
![]() | March 10, 2027 Final Paper Submission Date |
![]() | February 23, 2027 |
![]() | January 23, 2027 Full Paper Submission Date |

All accepted full papers will be published and be submitted to EI Compendex / Scopus for indexing. All submissions will be checked for reference authenticity. Please ensure each reference is verifiable via its DOI or a working link.
Pulication History
MLNN 2025
The MLNN 2025 has be published in ACM (ISBN: 979-8-3315-8865-6).
Ei Compendex | Scopus |
MLNN 2024
The MLNN 2024 is submitted for publication following the CVIDL 2024 Proceedings, which has be published in IEEE (ISBN: 979-8-3503-7382-0).
Ei Compendex | Scopus |
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 any academics. Hence, any act of plagiarism or other misconduct is totally unacceptable and cannot be tolerated.