☀ Important Dates
Full Paper Submission Date
☑ June 1, 2026
Notification Of Acceptance
☑ July 6, 2026
Registration Deadline
☑ July 15, 2026
Conference Dates
☑ August 7-9, 2026
Venue: Guilin, China
About ICDLA 2026
Today, as the core driving forces of artificial intelligence and the engines of industrial transformation deepen their integration, deep learning is propelling automation technology towards a new stage characterized by the integration of perception, decision-making, and control. From highly adaptive and self-optimizing intelligent manufacturing systems, to clusters of intelligent robots capable of understanding complex environments and making autonomous decisions, to real-time scheduling in large-scale collaborative networks such as smart cities and smart grids, the convergence of deep learning and automation is not only reshaping the boundaries of traditional industries but also continuously expanding new frontiers in scientific research and engineering applications.
To gather global expertise and collectively explore the future of this interdisciplinary field, the 2026 International Conference on Deep Learning and Automation will be held in Guilin, China, from August 7 to 9, 2026.This conference aims to establish an international academic exchange platform for global scholars, engineers, and industry leaders, fostering in-depth discussions and collaborations around core topics such as deep learning models and algorithms, as well as intelligent automation systems. Here, you will have the opportunity to share cutting-edge research findings and demonstrate academic influence; engage in face-to-face exchanges with domain experts to spark innovative ideas; expand international collaboration networks and promote substantive research partnerships; and gain insights into disciplinary trends and future research directions.
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 any academics. Hence, any act of plagiarism or other misconduct is totally unacceptable and cannot be tolerated.