2025 International Conference on Artificial Intelligence and Foundation Model (AIFM 2025)
IMPORTANT INFORMATION
Conference Dates: November 14-16, 2025
Conference Venus: Beijing, China
Conference Website: https://www.icaifm.org
Publication: ACM, EI Compendex and Scopus for indexing
INTRODUCTION
2025 International Conference on Artificial Intelligence and Foundation Model (AIFM 2025) will be held from November 14-16 2025 in Beijing, China, which has a long history and rich cultural heritage. This conference is an important academic event in the global field of artificial intelligence, aiming to gather experts and scholars from academia, industry, and government agencies around the world to jointly explore the latest developments and future directions of artificial intelligence and its large-scale model technology.
In recent years, with the improvement of computing power and the development of big data technology, research on artificial intelligence and big models has become an important component of cutting-edge technology. From natural language processing to computer vision, from robot learning to autonomous driving, the application of large models is profoundly changing various industries. This conference will delve into the multidimensional applications of artificial intelligence, including the construction, training, and optimization of large-scale models, as well as practical implementation in specific industries, to promote effective integration between theory and application.
Note: Considering the participation during the summer vacation, the organizing committee has decided to postpone the originally scheduled meeting from July 18-20 to November 14-16 in Beijing..
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 AIFM 2025 will be published in the ACM International Conference Proceedings Series, and then will be submitted to ACM Digital Library, EI Compendex and Scopus for indexing.
CALL FOR PAPER
Track 1: Theoretical Foundations of Foundation Model
Basic model framework 基础模型框架
Model training and optimization 模型训练与优化
Distributed computing 分布式计算
High performance computing optimization 高性能计算优化
Data management and efficient access 数据管理与高效存取
Large model compilation optimization 大模型编译优化
Multimodal fusion 多模态融合
Reinforcement learning 强化学习
Pre-training 预训练
Track 2: Model Security and Large-scale Intelligence
主题2:模型安全与大规模智能
Counter attack and defense
对抗攻击与防御
Data security and privacy protection
数据安全与隐私保护
Model inversion attack
模型反演攻击
Model stealing attack
模型窃取攻击
Data extraction attack
数据提取攻击
Attack detection
攻击检测
Outlier detection
异常值检测
Acting exercise
对抗训练
Federated learning
联邦学习
Generating model security
生成模型安全
Track 3: Foundation Model Applications
主题3:基础模型应用
Image classification and object detection
图像分类与物体检测
Image generation and editing
图像生成与编辑
Multimodal understanding
多模态理解
Depth reasoning
深度推理
Urban computing
城市计算
Spatio-temporal data mining
时空数据挖掘
Natural language processing
自然语言处理
Visual language model
视觉语言模型
Track 4: Embodied Intelligence and Robotics
主题4: 嵌入式智能与机器人
Intelligent robot
智能机器人
Visual tracking
视觉跟踪
Machine translation
机器翻译
Robot perception
机器人感知
Path planning
路径规划
Task planning and intelligent control
任务规划与智能控制
Robot system
机器人系统
SUBMISSION
You can submit your paper (word+pdf) via Electronic Submission System
Submission System (English) (Pay for USD)
Link: https://paper-sub.com/paper/2AQZ3Q
Submission System (Chinese) (Pay for RMB)Link:
https://www.ais.cn/attendees/index/2AQZ3Q
Paper Template: https://www.icaifm.org/download
Article acceptance requirements
The criteria for an article to be accepted for publication include:
1. The article should be original writing that enhances the existing body of knowledge in the given subject area. Original review articles and surveys are acceptable, even if new data/concepts are not presented.
2. Results reported have not been submitted or published elsewhere .
3. Experiments, statistics, and other analyses are performed to a high technical standard and are described in sufficient detail.
4. Conclusions are presented in an appropriate fashion and are supported by the data.
5. The article is presented in an intelligible fashion and is written in Standard English.
6. Appropriate references to related prior published works must be included.
7.All submissions must not be less than 8 pages in length.
CONTACT
E-Mail: icaifm@163.com
Conference Secretary:
Ms. Kwok
Tel: +86-18124944750 (WeChat)
User Name : Conference_M
Posted 24-06-2025 on 19:42:32 AEDT