2026 3rd International Conference on Machine Learning, Natural Language Processing, and Modeling (CMNM 2026) will be held from May 15 to 17 in Guangzhou, China.

𝗖𝗼𝗻𝗳𝗲𝗿𝗲𝗻𝗰𝗲 𝗪𝗲𝗯𝘀𝗶𝘁𝗲: https://ais.cn/u/zAbiau

---𝗖𝗮𝗹𝗹 𝗙𝗼𝗿 𝗣𝗮𝗽𝗲𝗿𝘀---
The topics of interest include, but are not limited to:
◕Machine Learning
- Supervised, Unsupervised, and Reinforcement Learning
- Deep Learning and Neural Network Architectures
- Transfer Learning and Few-shot Learning
- Federated and Distributed Learning
- Explainable and Trustworthy AI
- Machine Learning for Big Data and Cloud Computing

◕Natural Language Processing
- Large Language Models and Foundation Models
- Text Mining and Information Retrieval
- Sentiment Analysis and Opinion Mining
- Speech Recognition and Multimodal Processing
- Machine Translation and Cross-lingual Applications
- Dialogue Systems and Conversational AI

◕Modeling
- Predictive Modeling and Simulation
- Statistical Modeling Techniques
- Optimization and Algorithm Design
- System Dynamics and Control Models
- Probabilistic and Stochastic Models

◕Applications
- AI in Healthcare, Finance, and Education
- Robotics and Autonomous Systems
- Intelligent Transportation and Smart Cities
- Human-Computer Interaction
- Social Computing and Behavioral Analysis

---𝗦𝗽𝗲𝗮𝗸𝗲𝗿𝘀---
Prof. Celimuge Wu,University of Electro-Communications, Japan
Research Scienteist Xianfu Chen,Shenzhen CyberAray Network Technology Company Ltd, China
Prof. Zhili Zhou,Guangzhou University, China
Senior Engineer Haijun Huang,JEESEEN TECHNOLOGIES, China

---𝗣𝘂𝗯𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻---
All papers will be reviewed by two or three expert reviewers from the conference committees. After a careful reviewing process, all accepted papers of CMNM 2026 will be published in ACM International Conference Proceedings Series(ISBN: 979-8-4007-2333-9)and indexed by EI Compendex, Scopus.

---𝗜𝗺𝗽𝗼𝗿𝘁𝗮𝗻𝘁 𝗗𝗮𝘁𝗲𝘀---
Registration Deadline: May 8, 2026
Final Paper Submission Date: May 8, 2026
Conference Dates: May 22-24, 2026

--- 𝗣𝗮𝗽𝗲𝗿 𝗦𝘂𝗯𝗺𝗶𝘀𝘀𝗶𝗼𝗻---
Please send the abstract or full paper(word+pdf) to Submission System:
https://ais.cn/u/zAbiau