The 4th International Conference on Communication Networks and Machine Learning (CNML 2026) will be held from February 6 to 8, 2026, in Chongqing, China. It aims to create a platform for academic exchange among experts and scholars in the fields of communication networks and machine learning. The conference's philosophy is to allow scientists, scholars, engineers, and students from universities and industries around the world to present their ongoing research activities, thus promoting research relationships between universities and industry. This conference provides representatives with the opportunity to engage in face-to-face discussions of new ideas and application experiences, establish business or research relationships, and seek global partners for future collaborations. We sincerely invite experts, scholars, business professionals, and other relevant individuals from domestic and international universities and research institutions to participate in the conference!
![]() | Full Paper Submission Date November 20, 2025 |
![]() | Notification of acceptance date December 20, 2025 |
![]() | Final Paper Submission Date January 6, 2026 |
![]() | Conference Dates February 6-8, 2026 |
![]() | Communication Network Communication Theory; Communication Engineering; Computer Networks and Data Communication; Information Analysis and Infrastructure; Cloud Computing and Internet of Things; Network and Data Security; …… |
![]() | Machine Learning Machine Learning Algorithms; Intelligent Data Analysis; Modeling and Recognition; Multi-task and Transfer Learning; Deep Learning; Reinforcement Learning; …… |
All accepted full papers will be published in the conference proceedings and will be submitted to EI Compendex / Scopus / IEEE Xplore for indexing.
CNML 2026: Submission System (Chinese) Submission System (English)
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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.