About MMLDS 2026
In an era where information technology is advancing at an unprecedented pace, data has emerged as the cornerstone of societal progress and scientific discovery. However, the capacity of single-modality data—such as plain text or static images—to convey complex information is increasingly approaching its limits. The next paradigm shift in artificial intelligence is widely seen to lie in the deep integration and cross-disciplinary innovation of multimodal learning, machine learning, and data science.
To convene global expertise in exploring the future of this interdisciplinary domain, the 2026 International Conference on Multimodality, Machine Learning and Data Science(MMLDS 2026) will be held in Zhengzhou, China, from October 30 to November 1, 2026. This conference aims to establish an international platform for scholars, engineers, and industry leaders worldwide to engage in in-depth discussions on core topics, including multimodal perception and understanding, machine learning theory and methodologies, data science and intelligent systems, and cutting-edge applications.
At this conference, you will have the opportunity to:
Present your latest research findings and enhance your academic impact;
Engage in face-to-face dialogues with domain experts to spark innovative ideas;
Expand your international collaboration network and foster substantive research partnerships;
Gain valuable insights into the developmental trajectories of the discipline to inform your future research directions.
2026 International Conference on Multimodality, Machine Learning and Data Science (MMLDS 2026)
☀ Important Dates
Full Paper Submission Date
☑ August 7, 2026
Notification Date
☑ Septemper 11, 2026
Final Paper Submission Date
☑Septemper 30, 2026
Conference Dates
☑October 30 - November 1, 2026
Venue: Zhengzhou, China
Publication
All papers, both invited and contributed, will be reviewed by two or three expert reviewers from the conference committees. After a careful reviewing process, all accepted papers of MMLDS 2026 will be published in ACM International Conference Proceedings Series, which will be archived in the ACM Digital Library, and indexed by 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 academics. Hence, any act of plagiarism or other misconduct is totally unacceptable and cannot be tolerated.
Sponsor
