2026 IEEE 9th International Conference on Machine Learning and Natural Language Processing (MLNLP 2026)
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When : 2026-12-26
Where : Xiamen, China
Submission Deadline : 2026-11-30
Categories : Artificial Intelligence Computer Science & Information Technology Machine Learning Soft Computing
https://www.mlnlp2026.net/
*【Important Information】:
Website: https://www.mlnlp2026.net/
Venue: Xiamen, China (both online and in-person)
Conference Date: Dec. 26-28, 2026
*【Conference Introduction】:
MLNLP 2026 has been officially listed on IEEE Conference List:
https://conferences.ieee.org/conferences_events/conferences/conferencedetails/72106
2026 9th International Conference on Machine Learning and Natural Language Processing (MLNLP 2026) will be held in Xiamen, China during Dec. 26-28, 2026. It is organized by School of Computer Engineering, Jimei University, China; sponsored by IEEE, IEEE Computational Intelligence Society. MLNLP 2026 will be held in Jimei University, China.
During the upcoming conference, the invited renowned professors will share with us the recent innovations in the fields of Machine Learning and Natural Language Processing. The conference will mainly feature on keynote speeches as well as peer-reviewed paper presentations. In addition, social program or academic visit will be arranged to encourage communication, discussion or cooperation among the researchers in these fields.
We invite submissions of papers presenting an original high-quality research and development for the conference. All papers must be written in English and will be peer-reviewed by technical committees of the Conference and all accepted papers will be published in the conference proceedings.
*【Publication and Indexing】:
★All accepted papers will be included in MLNLP 2026 Conference Proceedings and published by IEEE, which will be archived in IEEE Xplore, and indexed by Ei Compendex, Scopus and Web of Science (CPCI-S).
★MLNLP 2025 all accepted papers have been published by IEEE and indexed by IEEE Xplore, EI Compendex and Scopus successfully within 1 month after publication.
★MLNLP 2024 all accepted papers have been published by IEEE and indexed by IEEE Xplore, EI Compendex and Scopus successfully within 1 month after publication.
★MLNLP 2023 all accepted papers have been published by ACM and indexed by EI Compendex and Scopus successfully within 1 month after publication
*【Journal Recommendation】:
★You may choose to publish your paper in the MLNLP 2026 proceedings, or extend it for free publication in the following journals:
①Journal of Machine Learning Advances
Frequency: Quarterly
Submission to First Decision: 2 days
Submission to Acceptance: 20 days
Accept to Publish: 30 days
JMLA website: https://ojs.weavecorepress.com/index.php/JMLA
② Journal of Algorithms in Complex Systems
Frequency: Quarterly
Submission to First Decision: 2 days
Submission to Acceptance: 20 days
Accept to Publish: 30 days
JACS website: https://ojs.weavecorepress.com/index.php/JACS
*【Submission Methods】:
1. Online Submission System: https://cmt3.research.microsoft.com/MLNLP2026
2. Submission Email: mlnlp@applied-computing.net
Submission guidelines: https://mlnlp2026.net/submission.html
*【Contact us】:
Website: https://www.mlnlp2026.net/
Email: mlnlp@applied-computing.net
Tel: +8613502461341 (Wechat)
QQ: 2056773349
*【Conference Speakers】:
Keynote Speaker I:
Prof. James Tin-Yau Kwok, Hong Kong University of Science and Technology, Hong Kong, China (IEEE Fellow)
Keynote Speaker II:
Prof. Jixin Ma, University of Greenwich, UK
Keynote Speaker III: Prof. Nianyin Zeng, Xiamen University, China
*【Call for papers】:
Track 1: Machine Learning (ML)
Foundations: Supervised, unsupervised, and semi-supervised learning.
Deep Learning: Neural network architectures, attention mechanisms, and graph neural networks.
Learning Paradigms: Reinforcement learning, transfer learning, and multi-task learning.
Trustworthy AI: Explainable AI (XAI), robustness, fairness, and privacy-preserving machine learning.
Optimization: Large-scale optimization algorithms and evolutionary computing.
Edge & Distributed ML: Federated learning and on-device machine learning.
Track 2: Natural Language Processing (NLP)
Large Language Models (LLMs): Pre-training, fine-tuning, prompting, and alignment (RLHF).
Linguistic Analysis: Syntactic parsing, semantic analysis, and pragmatic reasoning.
Core NLP Tasks: Named entity recognition, sentiment analysis, and summarization.
Dialogue & Interactive Systems: Chatbots, multi-turn dialogue management, and human-computer interaction.
Machine Translation: Neural machine translation and multilingual processing.
Information Retrieval: Question answering, document ranking, and knowledge graph construction.
Track 3: Track 3: ML & NLP Convergence (Emerging Trends)
Multimodal Learning: Integration of vision, audio, and text (Vision-Language Models).
Cognitive Computing: Language understanding inspired by human cognition.
AI for Science: Applications of MLNLP in healthcare, finance, and social sciences.
Efficiency & Sustainability: Green AI, model compression, and efficient inference.
Creative AI: Controllable text generation and AI-aided content creation.
Ethics & Society: Detection of AI-generated content (Deepfake text) and bias mitigation.
(for more topics: https://www.mlnlp2026.net/topic.html)
*【Guidelines for submission】:
1. The papers should be written in English and clearly state the title, objective, method, results, and conclusion with major keywords.
2. Papers prepared in the prescribed format are to be submitted.
3. The number of pages of the paper should be no less than 5 pages with double columns.
4. The review period is about 3-4 weeks.
5. The paper should be original work of the author(s), and no portion of the paper (including, but not limited to, graphics and figures) has been previously published. The paper is not currently under consideration for publication elsewhere.
6. Download the paper template from the official website.
7. The results will be available within 3-4 weeks after submission. If the review is fast, the results will be available within 1-2 weeks. The earlier the submission, the earlier the review and the earlier the acceptance notice.
*【Types of Participation】:
1. Participation as an Author: For each accepted paper, one author is permitted to give a presentation; all co-authors can attend the conference free of charge.
2. Keynote Speaker: Applicants can apply to deliver a keynote speech, which will be subject to review by the organizing committee.
3. Oral Presentation: Each oral presenter will have 10-15 minutes for their presentation.
4. Poster Presentation: Poster presenters should prepare their posters in accordance with the poster template provided on the official website.
5. Listener: Participants who do not submit papers but only attend the conference can take part in Q&A session, and are also eligible to give oral speeches or make poster presentations.
Website: https://www.mlnlp2026.net/
Venue: Xiamen, China (both online and in-person)
Conference Date: Dec. 26-28, 2026
*【Conference Introduction】:
MLNLP 2026 has been officially listed on IEEE Conference List:
https://conferences.ieee.org/conferences_events/conferences/conferencedetails/72106
2026 9th International Conference on Machine Learning and Natural Language Processing (MLNLP 2026) will be held in Xiamen, China during Dec. 26-28, 2026. It is organized by School of Computer Engineering, Jimei University, China; sponsored by IEEE, IEEE Computational Intelligence Society. MLNLP 2026 will be held in Jimei University, China.
During the upcoming conference, the invited renowned professors will share with us the recent innovations in the fields of Machine Learning and Natural Language Processing. The conference will mainly feature on keynote speeches as well as peer-reviewed paper presentations. In addition, social program or academic visit will be arranged to encourage communication, discussion or cooperation among the researchers in these fields.
We invite submissions of papers presenting an original high-quality research and development for the conference. All papers must be written in English and will be peer-reviewed by technical committees of the Conference and all accepted papers will be published in the conference proceedings.
*【Publication and Indexing】:
★All accepted papers will be included in MLNLP 2026 Conference Proceedings and published by IEEE, which will be archived in IEEE Xplore, and indexed by Ei Compendex, Scopus and Web of Science (CPCI-S).
★MLNLP 2025 all accepted papers have been published by IEEE and indexed by IEEE Xplore, EI Compendex and Scopus successfully within 1 month after publication.
★MLNLP 2024 all accepted papers have been published by IEEE and indexed by IEEE Xplore, EI Compendex and Scopus successfully within 1 month after publication.
★MLNLP 2023 all accepted papers have been published by ACM and indexed by EI Compendex and Scopus successfully within 1 month after publication
*【Journal Recommendation】:
★You may choose to publish your paper in the MLNLP 2026 proceedings, or extend it for free publication in the following journals:
①Journal of Machine Learning Advances
Frequency: Quarterly
Submission to First Decision: 2 days
Submission to Acceptance: 20 days
Accept to Publish: 30 days
JMLA website: https://ojs.weavecorepress.com/index.php/JMLA
② Journal of Algorithms in Complex Systems
Frequency: Quarterly
Submission to First Decision: 2 days
Submission to Acceptance: 20 days
Accept to Publish: 30 days
JACS website: https://ojs.weavecorepress.com/index.php/JACS
*【Submission Methods】:
1. Online Submission System: https://cmt3.research.microsoft.com/MLNLP2026
2. Submission Email: mlnlp@applied-computing.net
Submission guidelines: https://mlnlp2026.net/submission.html
*【Contact us】:
Website: https://www.mlnlp2026.net/
Email: mlnlp@applied-computing.net
Tel: +8613502461341 (Wechat)
QQ: 2056773349
*【Conference Speakers】:
Keynote Speaker I:
Prof. James Tin-Yau Kwok, Hong Kong University of Science and Technology, Hong Kong, China (IEEE Fellow)
Keynote Speaker II:
Prof. Jixin Ma, University of Greenwich, UK
Keynote Speaker III: Prof. Nianyin Zeng, Xiamen University, China
*【Call for papers】:
Track 1: Machine Learning (ML)
Foundations: Supervised, unsupervised, and semi-supervised learning.
Deep Learning: Neural network architectures, attention mechanisms, and graph neural networks.
Learning Paradigms: Reinforcement learning, transfer learning, and multi-task learning.
Trustworthy AI: Explainable AI (XAI), robustness, fairness, and privacy-preserving machine learning.
Optimization: Large-scale optimization algorithms and evolutionary computing.
Edge & Distributed ML: Federated learning and on-device machine learning.
Track 2: Natural Language Processing (NLP)
Large Language Models (LLMs): Pre-training, fine-tuning, prompting, and alignment (RLHF).
Linguistic Analysis: Syntactic parsing, semantic analysis, and pragmatic reasoning.
Core NLP Tasks: Named entity recognition, sentiment analysis, and summarization.
Dialogue & Interactive Systems: Chatbots, multi-turn dialogue management, and human-computer interaction.
Machine Translation: Neural machine translation and multilingual processing.
Information Retrieval: Question answering, document ranking, and knowledge graph construction.
Track 3: Track 3: ML & NLP Convergence (Emerging Trends)
Multimodal Learning: Integration of vision, audio, and text (Vision-Language Models).
Cognitive Computing: Language understanding inspired by human cognition.
AI for Science: Applications of MLNLP in healthcare, finance, and social sciences.
Efficiency & Sustainability: Green AI, model compression, and efficient inference.
Creative AI: Controllable text generation and AI-aided content creation.
Ethics & Society: Detection of AI-generated content (Deepfake text) and bias mitigation.
(for more topics: https://www.mlnlp2026.net/topic.html)
*【Guidelines for submission】:
1. The papers should be written in English and clearly state the title, objective, method, results, and conclusion with major keywords.
2. Papers prepared in the prescribed format are to be submitted.
3. The number of pages of the paper should be no less than 5 pages with double columns.
4. The review period is about 3-4 weeks.
5. The paper should be original work of the author(s), and no portion of the paper (including, but not limited to, graphics and figures) has been previously published. The paper is not currently under consideration for publication elsewhere.
6. Download the paper template from the official website.
7. The results will be available within 3-4 weeks after submission. If the review is fast, the results will be available within 1-2 weeks. The earlier the submission, the earlier the review and the earlier the acceptance notice.
*【Types of Participation】:
1. Participation as an Author: For each accepted paper, one author is permitted to give a presentation; all co-authors can attend the conference free of charge.
2. Keynote Speaker: Applicants can apply to deliver a keynote speech, which will be subject to review by the organizing committee.
3. Oral Presentation: Each oral presenter will have 10-15 minutes for their presentation.
4. Poster Presentation: Poster presenters should prepare their posters in accordance with the poster template provided on the official website.
5. Listener: Participants who do not submit papers but only attend the conference can take part in Q&A session, and are also eligible to give oral speeches or make poster presentations.
User Name :
ISAC_computing
Posted 01-06-2026 on 19:21:54
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