2025 International Conference on Neural Networks and Natural Language Processing (NNNLP 2025) will be held from June 6 to 8, 2025 in Kuala Lumpur, Malaysia.

NNNLP 2025 is to bring together innovative academics and industrial experts in the field of Computational Intelligence and Image Analysis to a common forum.

The primary goal of the conference is to promote research and developmental activities inNeural Networks andNatural Language Processing and another goal is to promote scientific information interchange between researchers, developers, engineers, students, and practitioners working all around the world. We sincerely invite you to participate in NNNLP 2025 and look forward to seeing you inKuala Lumpur!

1. Full Paper Registration(Presentation and Publication):

Authors need to submit full paper before submission deadline, which will go through the preliminary review and peer review system. Review result will be sent out by the notification date. Accepted papers after registration and presentation will be sent for publication.

2. Abstract Registration(Presentation Only):

Prospective participants need to submit the abstract ONLY before submission deadline. The conference committee will perform a brief review, and results will be given around one to two weeks

Please log in the online submission system and submit your paper/abstract.

All submissions will be peer reviewed, and accepted papers will be published in the Conference Publishing Services (CPS), which will be included in IEEE Xplore subject to meeting IEEE Xplore's scope and quality requirements, submitted for Scopus & Ei Compendex index.

Note: All submitted articles should report original results, experimental or theoretical, not previously published or being 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 academic. Hence, any act of plagiarism or other misconduct is totally unacceptable and cannot be tolerated.